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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Adv Genet. Author manuscript; available in PMC 2010 April 30.
Published in final edited form as:
PMCID: PMC2861997
NIHMSID: NIHMS196982

Genetic Dissection of Neural Circuits and Behavior in Mus musculus

Abstract

One of the major challenges in the field of neurobiology is to elucidate the molecular machinery that underlies the formation and storage of memories. For many decades, genetic studies in the fruit fly (Drosophila melanogaster) have provided insight into the role of specific genes underlying memory storage. Although these pioneering studies were groundbreaking, a transition to a mammalian system more closely resembling the human brain is critical for the translation of basic research findings into therapeutic strategies in humans. Because the mouse (Mus musculus) shares the complex genomic and neuroanatomical organization of mammals and there is a wealth of molecular tools that are available to manipulate gene function in mice, the mouse has become the primary model for research into the genetic basis of mammalian memory. Another major advantage of mouse research is the ability to examine in vivo electrophysiological processes, such as synaptic plasticity and neuronal firing patterns during behavior (e.g., the analysis of place cell activity). The focus on mouse models for memory research has led to the development of sophisticated behavioral protocols capable of exploring the role of particular genes in distinct phases of learning and memory formation, which is one of the major accomplishments of the past decade. In this chapter, we will give an overview of several state of the art genetic approaches to study gene function in the mouse brain in a spatially and temporally restricted fashion.

I. CONVENTIONAL GENE TARGETING STRATEGIES

In 2007, the Nobel Prize in physiology or medicine was awarded to Mario Capecchi, Martin Evans, and Oliver Smithies for the development of specific gene modification techniques and stem cell technology that led to the creation of the first “knockout mouse.” To date, thousands of knockout mouse models have been developed that have revolutionized our understanding of the molecular mechanisms responsible for various biological processes, including the signaling pathways underlying memory storage. Recently, the mouse knockout project (KOMP, see http://www.knockoutmouse.org), based on reverse genetics (from gene to phenotype), was established to produce and phenotype knockouts for all mouse genes. In addition to knockout mouse models, knock-in mouse models have been used as an alternative approach to determine the function of specific functional domains within proteins of interest. Knockout models are based on the deletion of an entire gene leading to complete inactivation, but knock-in models are based on a subtle alteration of a targeted gene sequence, for example, by introducing one or more point mutations to alter specific functional domains of proteins rather than deleting the entire protein. One example of the successful use of a knock-in strategy, was the recent discovery that a single transcription factor-binding domain of the CREB-binding protein (CBP), a transcriptional coactivator, is pivotal for the formation of long-term memories (Wood et al., 2005, 2006). Knock-in mice also enable researchers to model disease-causing mutations found in human patients.

As an alternative to knockout and knock-in mutations, transgenic methods have been used for more than 25 years as a reverse genetic approach to study the role of particular gene products in biological processes. The first transgenic mouse was generated in 1982 by Palmiter and colleagues via injection of a metallothionein-growth hormone fusion gene directly into the pronucleus of a fertilized single cell mouse embryo. This fusion gene incorporated into the genome and was subsequently expressed in essentially every cell in the embryo throughout development and adulthood (Palmiter et al., 1982). Such a ubiquitous expression pattern could make the functional interpretation of specific gene functions difficult due to various confounding side effects even including premature death. For example, the role of the NR1 subunit of the N-methyl-D-aspartate receptor (NMDAr) in learning and memory could not be unraveled using a classical knockout approach because mice lacking the NR1 subunit of the NMDAr die as neonates (Forrest et al., 1994). In another example, initial studies on mice with a mutation in the tyrosine kinase gene fyn revealed that loss of the fyn gene resulted in deficits in long-term potentiation (LTP, the persistent increase in synaptic strength following high-frequency stimulation of a chemical synapse) and spatial learning (Grant et al., 1992). However, fyn deletion also caused developmental abnormalities in various brain structures, for example, an increased number of cells in hippocampus area CA3 and the dentate gyrus (DG). Similarly, studies with mice exhibiting a mutant form of the α-calcium-calmodulin-dependent kinase II (α-CaMKII), a synaptic protein that is strongly enriched in forebrain neurons including those in the hippocampus, indicated that loss of α-CaMKII-function resulted in impaired spatial memory and LTP (Silva et al., 1992a,b). However, simultaneous studies indicated that loss of functional α-CaMKII resulted in behavioral abnormalities unrelated to memory formation including a decreased fear response and increased aggression (Chen et al., 1994). Another risk with conventional gene knockout is that loss of a particular gene may result in compensation by other related genes. For example, loss of the alpha and delta isoform of the cAMP response element binding protein (CREB) results in a compensatory upregulation of the beta isoform of CREB (Blendy et al., 1996). This beta isoform is expressed in low levels in wild-type mice, but is dramatically upregulated in mutant mice. The fact that beta CREB is expressed in several but not all regions where CREB function has been implicated and that the specific phenotype observed in these mutants was different from the phenotype observed in mice expressing a dominant-negative mutant form of CREB (Struthers et al., 1991), suggest that the beta isoform at least partly compensates for the loss of the alpha and delta isoforms (Blendy et al., 1996; Gass et al., 1998). Thus, although the initial approach to study the role of particular genes were groundbreaking, the interpretation of the phenotypes of these first mutant mice remain difficult not just for the molecular reasons described here, but also for difficulties in interpreting the limited behavioral experiments that were carried out in the initial studies (Deutsch, 1993).

To circumvent these problems, two major improvements in experimental approach were needed. The first was to avoid the occurrence of developmental and nonspecific abnormalities in mice with permanent and global gene manipulations. Thus, more sophisticated molecular approaches were needed to allow researchers to affect gene function in a temporally and spatially restricted fashion, as opposed to constitutively and globally. The second major issue was the lack of sensitive behavioral paradigms that could distinguish between learning-specific and learning-unrelated phenotypes. In human patients with brain lesions, this is done by using “double dissociation approaches.” For example, Bechara and colleagues (1995) showed that a patient with bilateral damage to the amygdala failed to acquire conditioned autonomic responses to visual or auditory stimuli, although the patient could learn which visual or auditory stimuli were paired with the unconditioned stimulus (indicative for a normal declarative memory). In contrast, a patient with bilateral hippocampal lesions was impaired in the formation of declarative memories but acquired the autonomic conditioning in the same task. In mice, contextual and tone-cued fear conditioning are used in parallel to suggest whether the manipulation of a specific gene affects either hippocampal function or amygdala function. Contextual fear conditioning relies on both the hippocampus and amygdala. The hippocampus is required to make an association between the context (e.g., the shock box, the conditioned stimulus) and a negative stimulus (e.g., a mild electrical shock, the unconditioned stimulus). If the mice make this association, then they will show freezing behavior when reexposed to the same context. Freezing behavior, defined as the lack of movement except for respiration, is initiated by the context-shock association and mediated by the amygdala. Tone-cued fear conditioning is a paradigm in which mice make an association between a tone, that is presented during training and a mild foot shock (LeDoux, 2000). In contrast to contextual fear conditioning, tone-cued fear conditioning does not require the hippocampus. Using both behavioral paradigms, Abel et al. (1997) showed that mice with reduced activity of the cAMP dependent protein kinase (PKA) in forebrain neurons were impaired in contextual fear conditioning but not in tone-cued fear conditioning, indicating that memory defects in this mouse line are likely due to defects in hippocampal PKA function. Although tone-cued fear conditioning in combination with contextual fear conditioning provides strong support for a hippocampal site of biochemical malfunction, this is not a true double dissociation as described by Bechara and colleagues (1995). This is particularly due to the lack of sophisticated behavioral paradigms and the inability to finely regulate spatial resolution of gene manipulation (e.g., hippocampus or amygdala specific manipulations).

In addition to the generation of mutant mice using reverse genetics, the use of forward genetics (from phenotype to gene) has been a successful approach to uncover genes that drive the molecular mechanism of specific behaviors. For instance, forward genetic screens using the point mutagen N-ethyl-N-nitrosourea have yielded great success in the discovery of genes that control certain behaviors. This approach has been especially successful in elucidating genes that control circadian rhythms, so-called “clock genes” (Takahashi et al., 2008), because highly defined behavioral protocols exist to determine the activity profiles of mice with great precision and high throughput. Applying this approach to learning in mice has been more difficult, in part because of the behavioral complexity of learning tasks and because of the fact that animals cannot be repeatedly tested in learning paradigms (Reijmers et al., 2006).

II. SPATIALLY RESTRICTED GENE MANIPULATION

To avoid side effects induced by overall gene manipulation and to achieve a better understanding of a particular gene function in a specific brain region, more sophisticated methods have been developed that result in spatially restricted manipulation of a gene. One powerful approach to locally manipulate gene function uses gene promoters to restrict transgene expression. For example, the use of promoters like Nestin (Cheng et al., 2004), PrP (Fischer et al., 1996), and neuron-specific enolase (Forss-Petter et al., 1990) result in transgene expression throughout the brain but not in other parts of the body. For further restriction to specific brain regions or cell types, researchers used more specific promoters, including the α-CaMKII promoter for postnatal forebrain specific expression in excitatory neurons (Abel et al., 1997; Mayford et al., 1996), glial fibrillary acidic protein (GFAP) for astrocyte-specific expression (Brenner et al., 1994; Casper et al., 2007; Halassa et al., 2009; Pascual et al., 2005), proteolipid protein (PLP) oligodendrocyte-specific expression (Fuss et al., 2001), and L7 for expression in cerebellar Purkinje cells and retinal bipolar neurons (Oberdick et al., 1990). Large-scale screening projects have been initiated to determine the brain expression patterns of a tremendous number of specific promoters, allowing researchers to choose a promoter that targets a particular class of neurons, such as those that produce a specific neurotransmitter, or express a specific receptor. Examples of these screening projects are GENSAT (http://www.gensat.org) and the Allen Brain Atlas (http://www.brain-map.org). Although the transgenic approach allows for region-specific overexpression of a gene, it is possible that information from transgenic mouse lines may not translate into the requirement for a mutated gene or pathway in memory. Interfering with gene function through transgenesis is necessarily through overexpression of a protein, which can potentially interfere with genes other than the intended targets. Therefore, other methods have been developed that delete single genes in a tissue or cell-type specific manner as described below.

A. The Cre/loxP system

In contrast to transgenic methods that spatially restrict overexpression of an interfering transgene, the Cre/loxP system allows for the knockout of a single gene in a cell-type or site-specific manner. The Cre/loxP system is based on a phage P1-derived site-specific recombination system (Sauer and Henderson, 1988). This system is based on the ability of Cre recombinase to induce the recombination of 34 bp loxP recognition sequences. The loxP sites can be inserted into the genome of embryonic stem cells using homologous recombination, flanking one or more exons of the target gene (referred to as a “floxed” gene). Mice homozygous for the floxed gene are then crossed to a transgenic mouse line that expresses Cre recombinase under control of a spatially restricted promoter. In offspring that are homozygous for the floxed gene and carry the Cre transgene, the floxed gene will be excised. Depending on the promoter used to drive Cre expression, the loss of the floxed gene can be more or less restricted. Gu et al. (1994) generated the first inducible KO mice using this method by generating a T-cell specific knockout mouse for the DNA polymerase beta gene, thus showing proof of principle.

B. Investigating NMDA receptor function in specific subregions of the brain using the Cre/loxP system

The NMDAr is an ionotropic glutamate receptor that allows flow of calcium ions (Ca2+) into the cell. Gating of the channel is voltage dependent and can be controlled by binding its ligand glutamate. The influx of Ca2+ into neurons plays a pivotal role in synaptic plasticity thought to underlie learning and memory formation. The first indication that NMDArs could play a pivotal role in the processes underlying memory storage came from a study by Collingridge and colleagues, demonstrating that NMDArs are required for the persistent change in strength of synaptic connections, a process referred to as LTP (Collingridge et al., 1983). Activity-dependent changes in synaptic strength is a form of synaptic plasticity that is a model for certain types of long-term memory (Bliss and Collingridge, 1993; Hebb, 1949; Martin et al., 2000). LTP in the CA1 region of the hippocampus has distinct temporal phases (Nguyen and Woo, 2003): an early transient phase (E-LTP) and a late persistent phase (L-LTP) that lasts for up to 8 h in hippocampal slices (Frey et al., 1993), and for days in the intact animal (Abraham et al., 1993). Both E-LTP and L-LTP in the CA1 region of the hippocampus depend on NMDArs and on the activation of kinases such as CaMKII, whereas L-LTP (but not E-LTP) shares with long-term memory, a requirement for transcription and translation as well as cAMP and PKA activity (Abel et al., 1997; Duffy and Nguyen, 2003; Frey et al., 1996; Scharf et al., 2002; Woo et al., 2000).

Three years after the study by Collingridge in 1983, Morris et al. (1986) showed that blocking NMDAr activity using the drug (2R)-amino-5-phosphonovaleric acid (AP5) prevents the formation of memories for the location of a submerged platform in the Morris water maze, based on visual cues in the room. In addition, the authors showed that application of AP5 impairs hippocampal LTP in vivo demonstrating the causal role of the NMDA receptor in hippocampus-dependent memory formation. Although these pharmacological studies indicate a pivotal role of the hippocampus in the formation of long-term memories, it could not be excluded that AP5 in the study by Morris et al. also affected NMDAr function in regions other than the hippocampus that are also implicated in memory formation, such as the neocortex (Morris et al., 1986).

To analyze the role of the NMDAr specifically in the hippocampus, a genetic approach was needed that could tightly control the loss of NMDA receptor function to a specific cell type or group of cells. The discovery of the gene that encoded the NR1 subunit, a crucial subunit of the NMDA receptor (Moriyoshi et al., 1991; Nakanishi, 1992) enabled researchers to manipulate NMDAr function genetically in a spatially restricted manner, because loss of this single receptor subunit prevents the expression of functional NMDArs.

The Tonegawa laboratory successfully applied the Cre/loxP system to study the NMDAr in distinct hippocampal subregions in learning and memory formation. They first generated several mouse lines that expressed Cre recombinase under control of the α-CamKII promoter to drive the expression of Cre recombinase specifically in neurons of the forebrain postnatally (Fig. 1.1A, Tsien et al., 1996a). Several of the different founder lines showed variation in the expression pattern of Cre recombinase 3 weeks postnatally, despite the fact that the same promoter (α-CaMKII) was used to drive Cre expression (Tsien et al., 1996a). This variation in Cre expression is likely due to distinct sites of transgene insertion in the genome. Some founders expressed Cre recombinase in all forebrain regions, including the three major hippocampal regions (e.g., areas CA1, CA3, and the DG), striatum and cortex, but other lines had a more restricted expression pattern. One of the founder lines was of particular interest because Cre recombinase expression was restricted to area CA1 of the hippocampus at the age of 3 weeks. This very narrow Cre expression allowed the Tonegawa laboratory to examine the role of the NMDAr specifically within the hippocampal CA1 area for learning and memory formation as well as synaptic plasticity.

Figure 1.1
The deletion of NMDA receptor NR1 subunit in specific subregions of the hippocampus. (A) Loss of NMDA receptor function in specific hippocampal areas can be achieved by using specific promoters to drive Cre recombinase. (B) In situ hybridization of NMDAR1 ...

By crossing this CA1-specific Cre expressing line with a floxed NR1 line, Tsien and colleagues (1996b) generated a mutant mouse in which the NR1 subunit was lost specifically in the CA1 region of the hippocampus at 3 weeks of age (Fig. 1.1B). These mice lacked NMDAr-mediated synaptic currents and LTP at CA1 synapses (Fig. 1.1C). Behavioral studies showed that loss of NMDAr function caused difficulties with learning and remembering the location of a submerged platform in the Morris water maze using distal cues (Fig. 1.1D and E). The mutants were not impaired in a nonspatial version of the same task that does not require the hippocampus, indicating that specifically hippocampus-dependent memory processing was affected by loss of NMDArs in area CA1 of the hippocampus (Tsien et al., 1996b). In a study using the same mutant mice, McHugh et al. (1996) determined whether loss of CA1 NMDArs affected the properties of particular hippocampal cells called place cells: cells that exhibit a high rate of firing whenever an animal is in a specific location in an environment corresponding to the cell’s “place field.” Place cells were first described by O’Keefe and Dostrovsky (1971) and are thought to be important for spatial mapping of novel environments and thus pivotal for the formation of long-term spatial memories. They found that mice lacking NMDArs in area CA1 of the hippocampus had reduced spatial specificity of individual place fields (e.g., place cells activity was more widely distributed throughout the environment). Thus, their study indicated that CA1 NMDAr-mediated synaptic plasticity is necessary for the generation of a proper representation of space.

Using a similar approach, the Tonegawa laboratory next focused on area CA3 of the hippocampus, an area that is one of the main input sites for area CA1. To restrict the loss of the NMDAr to area CA3, Nakazawa and colleagues (2002) utilized a transgenic mouse line in which Cre expression was driven by the KA1 receptor (Fig. 1.1A). Expression from this promoter is specific for area CA3 and the DG in adult mice (Kask et al., 2000). In mice that were homozygous for the floxed NR1 subunit and positive for the Cre transgene, loss of the NR1 subunit was restricted to area CA3 of the hippocampus (Nakazawa et al., 2002, 2003). Electrophysiological studies on these mice revealed that loss of the NR1 subunit in area CA3 impairs LTP in the recurrent collaterals (input from CA3 neurons to other CA3 neurons which might serve as an auto associative network) (Fig. 1.1F). As a consequence of the loss of NMDAr in area CA3, mice had deficits in a process called pattern completion (the retrieval of memories when only a fraction of the visual cues are presented) (Fig. 1.1G and H), and for memory acquisition of a one-time experience (Nakazawa et al., 2003). In line with these observations, Nakazawa and colleagues (2003) showed that place fields in these mice were significantly larger (e.g., less specific for a spatial location) in mutant mice as compared with control mice The DG is the third major region of the hippocampus that is part of the tri-synaptic circuit together with area CA1 and CA3. Making use of the proopiomelanocortin (PomC) promoter which is activated in the DG (Fig. 1.1A), the Tonegawa laboratory was able to investigate the role of DG NMDArs in perforant path LTP (Fig. 1.1I). McHugh et al. (2007) found that mice without NMDArs in the DG could not distinguish between two relatively similar contexts. Thus, they concluded that NMDArs in the DG are required to distinguish relatively similar environments, a process referred to as pattern separation (Fig. 1.1K). Together these studies showed that the same gene (NR1) was required for different aspects of memory formation in different subregions of the brain, an important conceptual advance made possible by the spatially restricted Cre/LoxP deletion system.

In addition to these studies focusing on the role of the NMDAr in memory storage, numerous other researchers used the Cre/LoxP system to study neurobiological processes. One of the ways that this system has been used is to ablate specific groups of neurons by crossing a Cre-expressing line with a second line that carries the loxP-STOP-loxP-IRES-diphtheria toxin fragment A (DTA). Cre expression mediates the excision of the floxed STOP codon leading to the expression of DTA resulting in cell death (Brockschnieder et al., 2004). Numerous mouse lines with floxed alleles as well as mutants that express Cre recombinase under control of a wide variety of promoters are becoming available (See for instance: http://www.mshri.on.ca/nagy/Cre-pub.html, http://www.jax.org, GENSAT http://www.gensat.org, and the Allen Brain Atlas http://www.brain-map.org). The combination of distinct Cre expression and floxed alleles allows researchers to generate unique mouse models to study the role of specific genes in a distinct subset of cells.

III. THE USE OF DOMINANT NEGATIVE INHIBITORS TO MANIPULATE GENE FUNCTION

As mentioned in the previous paragraphs, compensatory mechanisms hampered the interpretation of early mutant mouse models. Pharmacological inhibition of the activity of the cAMP-dependent PKA impaired LTP in hippocampal slices and suggested a role for PKA in memory storage (Frey et al., 1993; Huang and Kandel, 1994). However, analyses of knockout mice lacking the RIβ isoform of PKA showed no deficits in hippocampal LTP, but rather impairments in long-term depression (the weakening of neuronal connections) and a compensatory upregulation of the RI isoform (Brandon et al., 1995). Thus, while the pharmacological approaches indicated an important role for PKA in memory storage, genetic studies failed to confirm the pharmacological observations.

A novel approach to determine the role of PKA in memory storage was taken by Abel et al. (1997). They generated a dominant negative form of the regulatory subunit of PKA referred to as R(AB). This was an inhibitor of both types of PKA catalytic subunits due to mutations in the two cAMP binding sites on the regulatory subunit (Clegg et al., 1987; Ginty et al., 1993). The advantage of using a dominant negative approach is that it is effective when multiple genes encode the same enzyme (as is the case for PKA) or when many homologues of the same gene exist (e.g., the coactivators CBP and P300, Vo and Goodman, 2001). Because the authors used the α-CaMKII promoter to drive expression of the transgene, the expression of the transgene was restricted to postnatal fore-brain neurons (Fig. 1.2A) thereby avoiding developmental side effects or compensatory mechanisms. Using mice expressing R(AB) in forebrain neurons, Abel et al. (1997) examined the role of PKA in LTP in area CA1 of the hippocampus. They found that reduction of PKA activity and impaired LTP (Fig. 1.2B). The deficit in LTP was paralleled by behavioral deficits in spatial memory and in long-term, but not short-term memory for contextual fear conditioning (Fig. 1.2C), thus proving that PKA plays a critical role in the consolidation of long-term memory. In a later study, Rotenberg and colleagues (2000) showed that suppression of PKA activity in forebrain neurons impaired long-term place cell stability (Fig. 1.2D), an effect that could account for the memory deficits seen in these mice (Abel et al., 1997).

Figure 1.2
Genetic demonstration of a role of PKA in memory formation and LTP. (A) A sagital section of a transgenic mouse expressing R(AB) under control of the α-CaMKII promoter. The transgene is expressed throughout the hippocampus, cortex, olfactory bulb, ...

IV. CONDITIONAL MANIPULATION OF GENE FUNCTION

A. The tTA system

Memory has several stages including acquisition, consolidation, and retrieval. These processes require the transient activation of specific cellular signaling pathways in particular brain regions. Previously formed memories can be modified further through reconsolidation and performance can change during extinction trials while the original memory remains intact (Abel and Lattal, 2001). To determine the role of specific genes in these different stages of memory, genetic-based systems were needed with a higher temporal resolution. To this end, the laboratory of Hermann Bujard developed a promoter based on the regulatory elements of the tetracycline resistance operon of E. coli (Furth et al., 1994; Gossen et al., 1994, 1995). In this operon, the tetracycline-controlled repressor (tetR) binds to its operator to repress the expression of resistance genes conferring survival in the presence of antibiotic. By fusing this promoter with the activation domain of virion protein 16 (VP16) of the herpes simplex virus tetR was converted to a transcriptional activator in eukaryotic cells. The product of this fusion protein, called the tetracycline-regulated transactivator (tTA), activates the transcription of transgenes containing the tetracycline operator (tetO). Importantly, the binding tTA to the tetO promoter was suppressed in presence of tetracycline or doxycycline (dox).

The laboratory of Eric Kandel used this newly developed tTA system to generate mice in which a transgene could be “conditionally” expressed in the mouse brain. The use of this system had the major advantage that transgene expression could be suppressed by administration of dox in the food or drinking water of animals. To study the role of α-CaMKII in learning and memory, they conditionally expressed a constitutive active form of α-CaMKII (Mayford et al., 1996). They first developed a mutant mouse that expressed tTA under control of the α-CaMKII-promoter. This mutant was crossed to a second mutant in which the tetO promoter regulated expression of a mutant form of α-CaMKII that was calcium-independent, due to point mutation of a critical residue, Asp286. In bi-transgenic offspring, expression of the constitutive active form of CaMKII resulted in the loss of hippocampal LTP induced by 10 Hz stimulation, as well as the loss of spatial memory. Importantly, delivery of dox resulted in the suppression of transgene expression, leading to the restoration of normal LTP and memory (Mayford et al., 1996). Thus, this pivotal study showed that the loss of LTP and spatial memory was due to adult-specific expression of a transgene and not to developmental side effects. In the years thereafter, the tTA system has been used by many other laboratories to conditionally manipulate molecular signaling pathways in specific tissues or cell types.

Conditional genetic systems opened a new era of research that was not possible using constitutive transgenic or knockout approaches. Investigators could now establish the role of specific transgenes in memory retrieval, reconsolidation as well as memory extinction. For instance, the Abel laboratory used this conditional strategy to determine the role of PKA in the extinction of previously acquired contextual fear memories. For this purpose, they generated bi-transgenic mice in which R(AB) expression was controlled by the tTA system (Fig. 1.2E), thus enabling them to suppress R(AB) expression under dox conditions (Fig. 1.2F). During development and continuing through training in the contextual fear conditioning paradigm, mice were fed dox to suppress the expression of the R(AB) transgene. After training, the animals were removed from dox, initiating the expression of the PKA inhibitor. After 4 weeks, the rate of extinction of the previously acquired contextual fear memory was assessed. The researchers found that reducing PKA activity selectively during the extinction phase slowed extinction, suggesting that PKA functions as a constraint on the erasure (erasure or formation of extinction memory) of previously acquired fear memories (Isiegas et al., 2006). Using the same conditional approach, a later study by Havekes et al. (2008) demonstrated that conditional suppression of forebrain calcineurin (also known as protein phosphatase 2B) facilitated the extinction of contextual fear memories. This was of particular interest because PKA and calcineurin target similar substrates and function antagonistically. Thus, the conditional tTA system has allowed analysis of gene function during distinct types of memory formation.

A second major use of this conditional system has been to manipulate gene function selectively during development, while leaving it undisturbed during adulthood (by putting the mice on dox starting from 2 months after birth). In a recent paper by Kelly and colleagues (2008), overexpression of the G-protein subunit Gαs, a protein subunit that stimulates adenylyl cyclase activity is genetically linked to schizophrenia (Avissar et al., 2001; Memo et al., 1983; Minoretti et al., 2006), selectively during development induced several schizophrenia-related phenotypes. They found impairments in spatial learning and memory formation in adult mice using the Morris water maze when the transgene was only expressed during development. In addition, they found that the ventricles of the mice were enlarged, while the ventral and dorsal striatum size were reduced as a consequence of overexpression of the Gαs subunit selectively during development. These experiments, along with others that examined anxiety-related behaviors (Gross et al., 2002), demonstrate that certain endophenotypes of psychiatric disorders are likely the result of alterations in the function of neuronal circuits that occur during development.

In addition to the use of the tTA system to study the role of specific genes in neurons, the laboratory of Philip Haydon has used this system to determine the role of astrocytes in synaptic plasticity, modulation of sleep homeostasis, and the cognitive consequences of sleep loss. The laboratory first generated a transgenic mouse line in which tTA was driven by the astrocyte-specific GFAP to obtain astrocyte-specific expression of tTA (Pascual et al., 2005). Next, they generated a transgenic mouse that expressed the cytosolic portion of the N-ethylmaleimide-sensitive factor attachment protein (SNARE) domain of synaptobrevin 2, under control of the tetO promoter. A previous study by the same laboratory showed that overexpression of this portion of the SNARE protein blocks gliotransmission, another example of using a dominant negative approach (Zhang et al., 2004). By breeding the GFAP-tTA line and tetO-SNARE line they were able to produce double transgenic mice with vesicular transmission blocked selectively in astrocytes. They found that gliotransmission critically regulated synaptic plasticity and had a previously unsuspected role in sleep regulation. Inhibition of gliotransmission attenuated the accumulation of sleep pressure, the drive to go to sleep, and prevented cognitive deficits associated with sleep loss, thus providing evidence that astrocyte signaling regulates the relationship between sleep and memory formation (Halassa et al., 2009).

B. A novel form of the tTA system: The rtTA system

Although the tTA system has great advantages in comparison with constitutive transgenic systems, this system requires that mice be kept on dox during breeding and at least the first weeks after birth to suppress transgene expression during development. To avoid this long period of dox exposure which could lead to developmental side effects and create an imbalance of the intestinal flora resulting in diarrhea and in a smaller number of animals, a reversed version of tTA was developed by the Kandel group called rtTA. In case of rtTA, dox treatment results in activation of a tetO-driven transgene, rather than its suppression (1998). Using this novel system, mice had to be kept on dox for a minimum of 1 week prior to the start and during the course of an experiment. Using this modified form of tTA, Mansuy and colleagues (1998) showed that forebrain-specific overexpression of the catalytic subunit of calcineurin, the calcium-dependent protein phosphatase calcineurin, impairs the formation of spatial memories and an intermediate form of LTP. In agreement with this finding, Malleret and colleagues (2001) found that conditional overexpression of an inhibitor of calcineurin facilitates memory formation and enhanced LTP. This phenotype was reversed when animals were taken of dox. In a more recent study, the laboratory of Isabelle Mansuy elucidated that conditional inhibition of a downstream target of calcineurin, the protein phosphatase 1 (PP1) enhances the formation of spatial memories using various learning tasks as well as LTP and that this enhancement could be reversed by taking the animals of dox (Genoux et al., 2002).

V. PHARMACOGENETIC APPROACHES

A. Tamoxifen-controlled gene manipulation

The application of the Cre/loxP system in combination with promoters that are expressed selectively during adulthood allowed researchers to knockout genes during adulthood avoiding developmental side effects or even during specific stages of memory, but the temporal resolution was still relatively poor. To improve this temporal resolution, Cre was fused to the mutated ligand-binding domain of the human estrogen receptor (ER) (Feil et al., 1997; Metzger et al., 1995a,b). As a consequence of the mutation, the receptor does not bind endogenous estradiol, but is highly sensitive to tamoxifen. Under conditions without tamoxifen, the fusion product (referred to as CreERT2) is trapped in the cytoplasm by binding to heat shock proteins (Brocard et al., 1997). By injections of tamoxifen, the fusion product is released from the complex and translocates to the nucleus and catalyzes the recombination of loxP sites resulting in deletion of the flanked gene (Erdmann et al., 2007; Metzger et al., 1995b). The use of CreERT2 has two substantial advantages: (1) gene manipulation can be restricted to distinct populations of cells via the local delivery of tamoxifen and (2) application of tamoxifen causes Cre-mediated gene excision on the order of days (Brocard et al., 1997). Imayoshi et al. (2008) used this system to study the role of continuous neurogenesis in the structural and functional integrity of the adult forebrain. They generated transgenic mice in which the nestin promoter was used to drive CreERT2 expression in neural stemcells (Imayoshi et al., 2006) and crossed this transgenic line with a second transgenic line in which carried the loxP-STOP-loxP-IRES-DTA, driven by the neuron-specific enolase2 gene. Importantly, tamoxifen treatment in bi-transgenic adult mice led to the deletion of the STOP codon in DTA cassette in neuronal stem cells. As a result, DTA was expressed as soon as cells started to differentiate into neurons, thereby killing them. This resulted in impaired neurogenesis and the specific loss of granule cells in the olfactory bulb and DG of the hippocampus. Thus, rather than deleting a gene, in this study the Cre/loxP system was used to cause expression of a gene as opposed to knocking one out. Behavioral screening of transgenic mice that received tamoxifen indicated that loss of these granule cells resulted in impairments in spatial memories (as indicated by deficits in the retention test of the spatial version of the Morris water maze and Barnes maze) and in contextual memories (Imayoshi et al., 2008). These studies by Imayoshi et al. (2008) demonstrated that adult neurogenesis is required for the modulation and refinement of the existing circuits in the DG important for hippocampus-dependent memory formation.

The tamoxifen-inducible regulation conferred by fusion of the ERT domain onto a protein of interest has also been applied to tightly control the time of transcription factor activation during memory formation. To temporally manipulate functioning of the cAMP-response element-binding protein (CREB, a transcription factor), Kida and co-workers (2002) fused an α-CREB isoform with a mutation in the S133 site (a form of CREB that cannot be activated by phosphorylation of the S133 site) to a ligand-binding domain of the mutant human ER. In the absence of tamoxifen, the fusion protein is inactive (Feil et al., 1996). However, administration of tamoxifen activates the inducible CREB-repressor fusion protein (CREBIR), allowing it to compete with endogenous CREB and disrupt cAMP-responsive element (CRE)-mediated transcription (Kida et al., 2002). Using this inducible and reversible CREB repressor system, they showed that CREB is essential for the consolidation of long-term conditioned fear memories. Administration of tamoxifen 6 or 12 h, but not 24 h or 30 min before fear conditioning training impaired memory formation indicated by reduced freezing levels during the 24 h retention test. Importantly, the finding that CREBIR mice administered tamoxifen more than 12 h prior to fear conditioning showed no deficit in subsequent freezing during the 24 h retention test demonstrated that the impairment produced by tamoxifen in CREBIR mice is behaviorally reversible.

Using a similar approach, Li et al. (2007) generated an inducible and reversible mutant mouse model to study the role of the “Disrupted-in-schizophrenia 1” (DISC1) gene, which is thought of playing a pivotal role in the development of schizophrenia pathogenesis. To do this, they generated mice expressing DISC1-cc, a dominant negative form of the DISC1 protein, under control of the α-CaMKII promoter, which lead to expression of the transgene selectively in forebrain neurons. The DISC1-cc protein was fused to the mutant ER, which can be activated by tamoxifen. Without the presence of tamoxifen, the DISC1-cc transgene is sequestered into inactive complexes by heat shock chaperone proteins. When tamoxifen is present, DISC1-cc is released from the ligand-binding domain and competes with wild-type DISC1 protein for the binding of Nudel and Lis1, genes that regulate several aspects of brain development. However, the effect of tamoxifen is transient: as soon as tamoxifen is metabolized DISC1 signaling returns to normal. This inducible and reversible transgenic system enabled Li and co-workers to study the impact of disruption of DISC1 function on specific time points during brain development. Their study shows that induction of a mutant DISC1 protein early in postnatal development is sufficient to impair spatial working memory and other depressive like traits that parallel changes associated with schizophrenia-related DISC1 sequence variations in humans. Thus, with these studies, Kida et al. (2002) and Li et al. (2007) demonstrated the power of using tamoxifen-inducible transgenic systems to study complex cognitive processes.

B. Pharmacogenetic regulation of neuronal excitability

In recent years, new technologies have been developed to control the activity of genetically restricted neural populations with high temporal resolution. One of the pharmacogenetic approaches used to suppress neuronal activity, through the enhancement of chloride currents, is the expression of the Ivermectin-gated chloride channels from C. elegans. Lerchner and colleagues (2007) first coexpressed the two subunits (GluClα and GluClβ) that together form the Ivermectin-gated chloride channel unilaterally in the striatum of rats using viral injection. Next, they tested whether unilateral activation of the chloride channels in the striatum using Ivermectin treatment perturbs of rotational behavior induced by amphetamine. As expected, mice in which the chloride channels were activated in one hemisphere showed a marked increase in the net number of rotations towards the injection side as a consequence of the imbalance of neuronal activity between the striatal regions in the two hemispheres. Wild-type animals did not show any preference for the direction of the rotations. After 4 days, the effect of Ivermectin was fully reversed. Thus, with this study the authors show that Ivermectin-gated chloride channels can be used to temporally inactivate a restricted population of cells over a relatively short time period.

An alternative approach to inhibit neuronal activity was developed by Tan et al. (2006). They used the Drosophila allatostatin receptor to reduce neuronal activity in a specific population of cells. Binding of allatostatin to its receptor results in the opening of the G-protein coupled inward rectifier potassium channel (GIRK) leading to hyperpolarization of the cell. Gosgnach et al. (2006) used the allatostatin receptor to temporally block the activity of V1 motor neurons to define the function of these neurons in motor behavior. They found that V1 motor neurons regulate the speed of vertebrate locomotor movements.

A third approach to inhibit neuronal function is via manipulation of GABAA receptor activity. GABAA receptors can be positively modulated by the drug zoldipem. Application of this drug results in the facilitation of GABA receptor-mediated transmission, inhibiting excitatory responses (thereby reducing neuronal activity). Wulff and colleagues (2007) manipulated the sensitivity of the GABAA receptor by first generating a line of mice that expressed a mutated gamma2 subunit of the GABAA receptor that is insensitive to zoldipem. Next, they reintroduced the wild-type subunit in a genetically restricted group of neurons by using Cre recombinase to swap the wild-type subunit in place of the mutant allele to restore zoldipem sensitivity. Bath application of zoldipem in cerebellar slices of mice expressing the wild-type receptor selectively in Purkinje cells resulted in the facilitation of inhibitory postsynaptic currents in cerebellar Purkinje cells. Intraperitonal injections of zoldipem in these mutant mice resulted in impairments in motor coordination as measured using the rotarod task (Wulff et al., 2007).

An alternative approach to the methods described above is the application of molecules for inactivation of synaptic transmission (MISTs). MISTs are modified presynaptic proteins that interfere with the synaptic vesicle cycle when cross-linked by small molecule “dimerizers” (Karpova et al., 2005). Karpova and colleagues (2005) showed that MISTs based on VAMP2/Synaptobrevin and Synaptophysin could rapidly (e.g., within 10 min) and reversibly inhibit synaptic transmission. As a proof of principle, they expressed the MISTs selectively in Purkinje neurons. Mice were acquainted with the rotarod task in the absence of dimerizer. Next, they injected dimerizer in the lateral ventricle during or following the acquisition of the task. Rotarod performance was significantly impaired in the presence of the dimerizer. The effect was fully reversed 36 h after the injection. Thus, with this study, they show that MISTs can be successfully used to specifically perturb the function of specific neuronal circuits in vivo with temporal precision in the order of hours.

In summary, numerous new sophisticated methods are emerging that permit temporary reduction in the activity of a genetically restricted group of cells and demonstrate that acute silencing of selected populations of neurons can be used to elucidate their function in well-defined behaviors. However, these techniques cannot be used to elucidate the function of specific cellular signaling pathways in learning, memory formation, and its retrieval, since these methods regulate neuronal activity rather than manipulating a specific intracellular signaling pathway. Thus, specific pharmacogenetic approaches are needed that rapidly modulate specific intracellular signaling processes within subsets of neurons.

C. Targeting of intracellular signaling pathways using pharmacogenetic approaches

Biochemical processes within neurons are activated with a time course of minutes to hours during memory storage. Further, distinct biochemical processes underlie each of the different stages of memory including acquisition, consolidation, and retrieval (Abel and Lattal, 2001). Many studies have tried to unravel the temporal dynamics of distinct cellular signaling pathways using pharmacological approaches. Although these approaches allow for fast manipulation of cellular signaling pathways, they are not specific for distinct cell types. To circumvent this problem, novel tools have been generated that combine the cell type and regional specificity possible with transgenic techniques together with the high temporal resolution needed to activate specific molecular pathways in distinct groups of cells.

The Abel laboratory developed such a tool to transiently manipulate the cAMP pathway specifically in neurons by taking advantage of heterologous G-protein-coupled receptors found in invertebrates (Isiegas et al., 2008). They expressed a Gαs-coupled Aplysia octopamine receptor (Ap oa1) under control of the tTA system. Activation of the receptor leads to the activation of the Gs-signaling pathway, resulting in a rapid and transient increase in levels of the intracellular second messenger cAMP specifically in forebrain neurons due to the use of α-CaMKII promoter to drive tTA expression (Fig. 1.3A). The use of this Ap oa1 had two major advantages. (1) Octopamine is present only at trace levels in the mammalian central nervous system; thus, the Ap oa1 is only active when exogenous octopamine is supplied. (2) Octopamine does not act on other receptors in the mammalian central nervous system; thus, expression of the Ap oa1 is required for an effect of exogenous octopamine on Gαs signaling. LTP is facilitated in hippocampal slices from Ap oa1 mice after treatment with octopamine (Fig. 1.3B), and transient activation of the Ap oa1 in vivo facilitates the formation of long-term memories for contextual fear (Fig. 1.3C), and also facilitated the retrieval of previously formed memories (Fig. 1.3D). Overall, this study demonstrated the usefulness of using the octopamine receptors to manipulate specific intracellular pathways in a conditional and spatially restricted manner.

Figure 1.3
Conditional activation of the Aplysia octopamine receptor in forebrain neurons facilitates memory formation and LTP. (A) Activation of the Aplysia octopamine receptor by its natural ligand activates the Galphas signaling pathway to transiently increase ...

Besides the use of heterologous octopamine receptors to examine the role of distinct second messenger pathways in the mammalian system, other genetically engineered G-protein coupled receptors have been developed to combine genetic with pharmacological approaches. For example, Sweger and colleagues (2007) developed a transgenic mouse that expresses a genetically engineered receptor that is activated solely by a synthetic ligand (receptor activated solely by a synthetic ligand, RASSL). The ro1 receptor is a κ-opiod receptor (KOR) modified by replacing its second extracellular loop with the second extracellular loop of the δ-opiod receptor, such that receptor activation causes reduced cAMP-levels via the Gi-pathway. As a consequence of this modification, the affinity of this receptor for its endogenous ligands is reduced, while it maintains the ability to bind the synthetic ligand spiralodine. By conditionally expressing this receptor in astrocytes using the tTA system cells on a KOR knockout background, the authors were able to manipulate Gi-signaling specifically in glial cells while measuring changes in neuronal excitability. They found that expression of the modified KOR selectively in astrocytes induces the development of hydrocephalus (the abnormal accumulation of cerebrospinal fluid in the brain). This study shows the potency of using RASSLs that can be activated solely by synthetic drugs. Indeed, many new RASSLs have recently been developed that target specific second messenger systems in vivo (Conklin et al., 2008), allowing for the manipulation of other G protein-coupled receptor pathways in addition to the Gi-signaling pathway.

The Tsien laboratory recently examined the role of α-CaMKII via pharmacogenetic manipulation (Cao et al., 2008; Wang et al., 2008). First, the authors generated mice that expressed a constitutively active form of α-CaMKII in forebrain neurons (using the α-CaMKII promoter). As a result, the overall activity of α-CaMKII is elevated in forebrain neurons, but the activity of this mutant form of α-CaMKII is inhibited by a small inhibitor molecule called NM-PP1 that does not affect any other proteins in the brain. Using this system, the Tsien laboratory could manipulate αCaMKII activity within the range of minutes by simply injecting mice with NM-PP1 allowing them to explore the role of α-CaMKII activity levels during distinct phases of memory and LTP. They found that the initial 10 min of memory formation and LTP are sensitive to inducible genetic downregulation of α-CaMKII activity, suggesting that molecular dynamics of α-CaMKII play an important role in the representation of short-term memory during this critical time window (Wang et al., 2008).

VI. OPTOGENETIC APPROACHES

Great progress has been made in understanding how neural network activity underlies the formation of memories. Many of the previously discussed approaches allow the study of involvement of activity or signaling cascades on a timescale of minutes to hours. However, neuronal and network activity works on a millisecond timescale. Thus, several research laboratories started to search for ways to manipulate neuronal activity with a time-scale of milliseconds. One successful approach used to manipulate the activity of groups of cells with the desired time-scale is the use of caged neurotransmitters that can be released upon stimulation with light (a process called photo-uncaging). For example, Tanaka et al. (2008) demonstrated the necessity of protein synthesis and brain derived neurotrophic factor for spine enlargement of CA1 neurons, a process thought to underlie the strengthening of synapses, by combining two-photon photo stimulation to locally uncage glutamate in combination with synaptic stimulation. Harvey and Svoboda used two-photon uncaging of glutamate and synaptic stimulation to show that after LTP-induction in a specific spine, weak stimulation can induce strong LTP in neighboring spines (Harvey and Svoboda, 2007). The disadvantage of this approach is that it lacks cell type specificity and cannot be used in vivo to stimulate cells in deeper layers of the brain.

The discovery of two light-sensitive rhodopsin channels in the unicellular green alga Chlamydomonas reinhardtii (Nagel et al., 2002, 2003; Sineshchekov et al., 2002) allowed for novel ways to manipulate neural function within a time-scale of milliseconds. Channelrhodopsin-1 is a proton-gated (H+) channel (Nagel et al., 2002), whereas Channelrhodopsin-2 (ChR2) is a light-gated cation channel (Nagel et al., 2003). Initial in vitro studies demonstrated the feasibility of using ChR2 to manipulate neural activity using light. Using lenti-viral gene delivery to express ChR2 in mammalian neurons, Boyden et al. (2005) showed that with a series of brief pulses of light, ChR2 could reliably mediate trains of spikes or synaptic events including excitatory and inhibitory synaptic transmission with millisecond-timescale temporal resolution. Adamantidis and colleagues (2007) applied this optogenetic tool in vivo to manipulate the activity of hypocretin-expressing neurons in the lateral hypothalamus (de Lecea et al., 1998; Peyron et al., 1998) to examine the causal relation between activity of this distinct group of neurons and arousal stability. They specifically targeted hypocretin-neurons, using a lentivirus that drives the expression of a ChR2 construct under control of the hypocretin promoter (Fig. 1.4A), in mice chronically implanted with electroencephalographic (EEG) and electromyographic (EMG) electrodes (Fig. 1.4B) to measure brain and muscle activity, respectively, to monitor the sleep/wake state of mice. A 200-M optical fiber was used to deliver laser light into the lateral hypothalamus of freely moving mice. They first investigated whether light stimulation facilitated protein expression of the immediate early gene FOS. They found that 10 s of 20 Hz delivered once per minute over 10 min increased the number of Fos expressing Hcrt-neurons from 25 to 65%, elegantly demonstrating that stimulation of ChR2 channels with light in vivo facilitates neuronal activity. Next, Adamantidis et al. (2007) stimulated the hypocretin-neurons that expressed the ChR2 channels with light during distinct phases of sleep (as defined by the EEG recordings). They determined the latency between the end of the photo-stimulation and the next transition to wakefulness. They found that 10 s of light stimulation with a frequency of 5–20 Hz or continuous light markedly reduced the latency to waking up from slow wave sleep (Fig. 1.4C). Similarly, photo-stimulation with a frequency of 5–30 Hz shortened the latency to waking from rapid eye movement sleep (a sleep state that is characterized by high frequency activity waves in the brain) in ChR2 expressing mice (Fig. 1.4C). Thus, using this sophisticated optogenetic approach, Adamantis et al. (2007) were able to establish a causal relationship between frequency-dependent activity of a genetically defined neural cell type and specific mammalian behavior central to clinical conditions and neurobehavioral physiology. This pioneering study paved the road for future studies to determine how specific activity patterns of a genetically defined group of neural cells underlie the formation and storage of long-term memories.

Figure 1.4
Optogenetic manipulation of the neural substrates of awaking. (A) A diagram of the construct used to drive ChR2 specifically in hypocretin-producing neurons. (B) Schematic of the behavioral setup used for in vivo deep-brain photostimulation in mice. Magnification ...

VII. VISUALIZATION OF BRAIN STRUCTURE AND FUNCTION

During the twentieth century numerous new molecular techniques and approaches became available to study the role of specific genes in behavior in vivo. The biochemical and genetic approaches developed were groundbreaking and pushed the neuroscience field rapidly forward. Yet, there was a lack of tools that allowed for the visualization of intra- and extra-cellular processes, including protein–protein interactions. A major step towards the development of such a tool was made by Osamu Shimomura, Martin Chalfie, and Roger Tsien by the discovery and development of the green fluorescent protein (GFP) for which they were awarded the Nobel Prize in 2008. The GFP gene was cloned and described in 1992 (Prasher et al., 1992). Many researchers attempted to heterologously express GFP in various model systems without success. Martin Chalfie discovered that the original cDNA isolated by Prasher contained an inhibitory sequence preventing GFP from being expressed. By deleting the inhibitory sequence, Chalfie succeeded in expressing GFP in various model organisms including C. elegans leading to a publication in science in 1994 (Chalfie et al., 1994). In the years thereafter, many new forms GFP were developed including various spectral variants (Heim and Tsien, 1996; Heim et al., 1994, 1995; Zacharias and Tsien, 2006). In the paragraphs below, we will describe some of the most recently developed tools to visualize the processes underlying memory storage and synaptic plasticity.

A. The TetTag system

A very popular technique to determine these activity profiles of neuronal populations is to examine the expression of immediate early genes like c-fos using immunohistochemistry. Immunohistochemistry was first described in 1941 by Coons et al. (1941) (for review see LeDoux, 2000; Ramos-Vara, 2005) and relies on the binding of specific antibodies to antigens of interest. The antigen–antibody binding is visualized by histochemical reactions or fluorochromes. The development of phospho-specific antibodies that bind specifically to the activated form of a protein increased the potency of this technique. One of the most frequently used phospho-sites to map neuronal activity is the serine 133 residue of the CREB, a transcription factor that is crucial for memory consolidation. Upon phosphorylation of this site, the transcription factor CREB initiates gene transcription of CREB target genes (Mayr and Montminy, 2001). By monitoring CREB phosphorylation using immunohistochemistry, researchers have been able to monitor when and where CREB activity occurs during after learning or memory retrieval. The disadvantage of this technique is that you can only assay the activity patterns at one particular time point, making it impossible to determine the activity profiles of the same cells at different times during learning, memory formation, and its retrieval. Alternative approaches including fMRI and small animal PET currently do not yet have the desired resolution to look at individual neurons. To circumvent these problems, a novel transgenic system (called the TetTag system) was developed recently by the Mayford laboratory that allows persistent tagging of neurons activated during a time window enabling them to determine whether this subset of neurons that were activated during learning were reactivated during retrieval (Reijmers et al., 2007). This system is based on the combination of two novel transgenes. First, they generated a transgenic mouse expressing tTA under control of the promoter of the immediate early gene c-fos. Using this transgenic line, tTA is transiently expressed in those cells in which the c-fos promoter is activated (Fig. 1.5A). The second part of the TetTag system consists of a transgenic mouse containing a LacZ reporter and a dox-insensitive form of tTA (tTA*) both under control of a bi-directional tetO promoter. Double transgenic mice, referred to as TetTag mice, are raised on dox. As a consequence of dox treatment, neurons do not express tTA* and tau-LacZ (Fig. 1.5A, left yellow block). The time window for tagging is opened by taking the mice of dox which will initiate the activation of the tetO promoter in those neurons in which the c-fos promoter is activated, resulting in the expression of tTA* and tau-LacZ in this specific population of neurons (Fig. 1.5A, white panel). This initial expression of tTA* generates a transcriptional feedback loop that maintains its own activity. By putting the mice back on dox further tagging of neurons is prevented (Fig. 1.5A, right yellow panel). Using this system, Reijmers et al. were able to show that neurons activated and tagged during learning are reactivated during retrieval suggesting that these neurons may encode memory itself (Fig. 1.5B–F). The TetTag system will allow this possibility to be further tested by selective expression of tetO-regulated trans-genes in these specific neuronal populations after learning.

Figure 1.5
Tagging and visualization of previously activated neurons using the TetTag mouse. (A) TetTag mice are raised on food containing Dox (left yellow block). During this time, neuronal activation that leads to expression of tTA through Fos promoter activation ...

In a second study, the Mayford laboratory wanted to answer the question how new proteins, synthesized in the soma exert their effect on specific synapses involved in synaptic or behavioral plasticity (Matsuo et al., 2008). To test the hypothesis that newly synthesized AMPA receptors are recruited to specific synapses, the Mayford laboratory first generated a mouse that expresses a GluR1 subunit, the main subunit of the AMPA receptor, fused to GFP under control of the tetO promoter and crossed this mouse line with the c-fos-tTA mouse line. This combination, referred to as GFP-GluR1c-fos, allowed them to express the GluR1-GFP subunit in a dox regulated and neuronal activity dependent manner. Using this system, Matsuo et al. (2008) showed that learning induces the synthesis of GluR1 subunits that are recruited selectively to the mushroom shaped spines.

B. The Brainbow mouse

Santiago Ramón y Cajal pioneered the study of neurobiology by describing the neuroanatomical structure of neurons and their connections using Golgi’s silver stain to label small numbers of neurons. Although this technique could be used to examine the connections of small groups of neurons, its usage was limited in the case of high density populations. To overcome this problem, a multicolor Golgi technique needed to be established that would allow researchers to map many neurons within a single brain section.

Livet et al. (2007) developed a new approach taking advantage of the Cre/LoxP system (Branda and Dymecki, 2004 see also Section II.A), that can alter gene expression by DNA insertion, deletion, or recombination. They first generated several constructs containing the DNA of different variants of fluorescent proteins which were available, including yellow fluorescent protein (YFP), cyan fluorescent protein (CFP), red fluorescent protein (RFP), and orange fluorescent protein (OFP) (Shaner et al., 2004). In these constructs, referred to as Brainbow 1.0 and 2.1, tamoxifen-induced Cre recombinase results in the excision and/or inversion of tandem DNA segments encoding the different fluorescent proteins due to the presence of incompatible loxP variants. Cells expressing the Brainbow-2.1 construct in which Cre expression could mediate three different inversions and two excisions showed stochastic expression of all different forms of fluorescent protein upon the delivery of Cre (e.g., OFP, YFP, MFP, and RFP).

Next, they generated transgenic mouse lines in which the different Brainbow constructs were expressed under control of the regulatory elements of the Thy1 gene, a promoter that drives high levels of expression in a variety of neurons (Caroni, 1997; Feng et al., 2000). The founder mouse was mated with other transgenic lines expressing the tamoxifen-inducible Cre. Cre-mediated excision and/or inversion was achieved by giving pups a single injection of tamoxifen on the day of birth (P0). Inversion and excision recombination events led to several distinct colors due to stochastic recombination. Besides the traditional fluorescent colors, they also found the coexpression of multiple colors in individual cells. The presence of polychromatic cells was a consequence of the method used for the generation of the transgenic lines. Pronuclear injection of constructs can lead to tandem integration of multiple transgene copies (Palmiter and Brinster, 1986) and Cre mediates recombination in an independent manner in these distinct copies. This led to a mosaic color palette with up to 89 distinguishable colors in a transgenic mouse line expressing the Brainbow-1.0 construct. The distinct color patterns of adjacent neurons allowed for visualization of cellular interactions on a large scale in regions of high neuronal density. Currently, new methods to section, image, and analyze entire mouse brains are being developed by the Jeff Lichtman and others in hopes of generating a complete map of all connections within the mouse brain.

VIII. THE CHALLENGES FACING GENETIC APPROACHES IN THE MOUSE

Over the past decade, many novel tools and methods have been generated to alter gene function in vivo. Although these techniques have been greatly refined to allow researchers to manipulate gene function in a spatially and temporally restricted manner, and thus avoid behavioral side effects unrelated to learning, caveats still exist that need to be considered when interpreting results using these techniques.

Leakiness of a transgene can occur due to loss of the specificity of the promoter depending on the site of integration resulting in a lack of temporal control over transgene expression. Furthermore, disruption of an unknown gene as a consequence of transgene insertion can lead to a phenotype that is partly or entirely due to loss of the unknown gene, rather than expression of the transgene itself. For that reason, multiple transgenic lines carrying the same construct should be tested. If the different mutants have the same phenotype, one can assume that the phenotype is a consequence of the gene manipulation and not the loss of an unknown gene. In case of the tTA system, this issue could be addressed by looking at the phenotype of mice in the presence of dox. Under dox conditions, transgene expression should be suppressed, thus the phenotype should be lost. If the phenotype is still present under dox conditions then this would argue that the phenotype is a consequence of the loss of an unknown gene due to the location where the transgene is inserted.

Certain promoters are more broadly expressed during development, but in a more restricted fashion during adulthood. Some studies have used these promoters to manipulate genes selectively in the regions in which the promoter is expressed during adulthood. For example, the KA1 promoter can be used to manipulate gene function specifically in hippocampus subregions (Nakashiba et al., 2008; Nakazawa et al., 2002, 2003), although the promoter is also activated more broadly during development (Kask et al., 2000). Likewise, expression of the α-CaMKII promoter has been reported in a few studies to be restricted to area CA1 in 3-week old mice (Tsien et al., 1996a), whereas expression is more widespread in adults (Nakazawa et al., 2004). Thus, one should be careful to evaluate deletion patterns as a function of age, especially at the ages used for behavioral characterization.

As mentioned previously, fairly restricted expression of transgenes can be obtained using distinct promoters. For many brain regions however, no specific promoters are available or currently known. For example, no known promoters restrict gene expression to the amygdala. One way to spatially refine gene manipulation is by using two different promoters of which the expression pattern is different, but partly overlapping. As with many techniques that have been used in the study of mouse memory formation, inspiration can be found in work on Drosophila memory. For instance, Suster et al. (2004) used the combinatorial Gal4/Gal80 transgenic system to achieve ultra-precise transgene expression. The Gal4 transcriptional activator was expressed specifically in cholinergic neurons and an inhibitor of Gal4, Gal80, was expressed in a distinct but overlapping subset of neurons. This approach enabled them to reduce the expression of Gal4 from 200 to 20 neurons. Similar combinations could be made in mice by using one promoter to drive Cre expression and a second promoter to drive a construct that contains a floxed STOP codon prior to the transgene. Using this method, the STOP codon would be excised only in those regions that express both Cre and the floxed STOP-transgene constructs. This strategy will become even more enticing as a greater number of specific promoters and Cre-expressing lines become available (see for instance the GENSAT project).

The use of Cre/loxP recombination allows for more spatially restricted manipulation of genes bypassing lethal or severe developmental defects resulting from the loss of a gene in the entire organism. However, the use of Cre recombinase is not without any consequences. Several in vitro studies have indicated that high levels of Cre expression alone can cause reduced growth, cytopathic effects, and even damage DNA (Loonstra et al., 2001; Pfeifer et al., 2001). More recently, a study by Forni and colleagues (2006) indicated that high levels of Cre expression in vivo in neuronal progenitor cells hampers brain development leading to microencephaly (the abnormal smallness of the head) and hydrocephaly (the accumulation of cerebrospinal fluid in the cavities and ventricles of the brain). These are clearly confounding factors that can result in learning-unrelated side effects.

An alternative method to obtain high spatial resolution is by using a virus to drive transgene expression. Rumpel and colleagues (2005) used a viral approach to examine the role of AMPA receptor trafficking in relation to learning and memory. They injected a vector that encodes the GluR1 subunit fused with GFP into the mouse amygdala. Their study showed that learning an association between a tone and the delivery of a foot shock drives GluR1-containing AMPA receptors into the synapses of a large fraction of postsynaptic neurons in the lateral amygdala. Importantly, this study indicated the potency of using viral transgene delivery to study the role of specific genes.

The tTA and rtTA system allows researchers to manipulate gene function in a conditional and reversible manner, but it should be noted that dox itself can have several side effects on behavior. Riond and Riviere (1988) showed that long-term administration of dox creates an imbalance of the intestinal flora, resulting in diarrhea and some cases even cause colitis (the inflammation of the colon). So it is important to include the relevant control group fed dox, but lacking the tetO-regulated transgene.

Another issue that makes the interpretation of gene function difficult is the confounding effect of genetic background on behavioral phenotypes (Bucan and Abel, 2002; Crawley et al., 1997). The deletion of two isoforms of the transcription factor CREB may result in spatial learning and memory impairments in the Morris water maze on one strain of mice, but not another (Bourtchuladze et al., 1994; Gass et al., 1998; Graves et al., 2002; Kogan et al., 1997).

Also environmental influences can modify behavioral phenotypes. Crabbe et al. (1999) tested several frequently used mouse lines in three different laboratories at the exact same time of day. They subjected the different lines to several behavioral paradigms. Despite the exact same background and task parameters being used by access laboratories, behavioral findings varied significantly among the different laboratories involved.

One major challenge in the field of mammalian research is to determine which genes are really needed in which specific brain structure or system. Traditionally, a “necessity approach” is used: in which brain regions does the loss of a particular gene result in memory deficits? An alternative strategy that has frequently been used to determine the role of specific genes in memory formation is a so-called “sufficiency approach” examining in which brain region or regions rescue of the function of a specific gene is sufficient to rescue memory deficits. This approach has begun to be developed in Drosophila, but is largely absent from mouse experiments. By first knocking out rutabaga everywhere, and then selectively expressing the wild-type rutabaga adenylyl cyclase specifically in the kenyon cells of mushroom bodies of the Drosophila brain, Zars et al. (2000) showed that this restricted expression of the rutabaga adenylyl cyclase is sufficient for the formation of olfactory short-term memories. This is the sort of powerful demonstration of function and site of function that mouse behavioral genetics is currently lacking.

Despite the concerns and limitations, the temporal and spatial resolution achieved in genetic approaches to mouse memory over the past decade have been critical for refining our understanding of the molecular and cellular basis of memory. A major remaining challenge is to refine these temporal and spatial resolutions. Combinatorial approaches using distinct, refined promoters to drive multiple components, such as combining promoter1-floxed Stop-tTA transgenes with promoter2-cre, provide one potential avenue for spatial refinement, as does a similar strategy using viral injection of Cre-expressing constructs in mice in which a broad promoter drives a construct in which a transgene is preceded by a STOP codon flanked with loxP sites.

The wealth of Cre lines being developed as part of the GENSAT BAC transgenic project (http://www.gensat.org) should soon provide an expanded repertoire of such region-specific Cre lines and the use of tamoxifen-inducible Cre for many of these BAC lines will expand their usefulness. This will be especially true if the GENSAT lines unearth more interesting activity-regulated promoters with more selective induction patterns than, for example, the immediate early gene c-fos. The temporal resolution achieved with light-activated channels is ideal, but this strategy only addresses cellular activity not biochemistry. The development of biochemical manipulations that could parallel this temporal precision would be a dramatic advance for the study of memory processes guided by biochemical cascades that function on timescales of seconds to minutes.

Acknowledgments

We thank Christopher Vecsey and Joshua Hawk for comments on a previous version of this manuscript. This work was supported by NIMH Grants R01 MH60244, and P50MH6404501 (Project 4 to T.A.; R. Gur, Conte Center P.I.) and by a fellowship from the Netherlands Organization for Scientific Research (NWO, Rubicon Grant: 825.07.29 to R.H.).

References

  • Abel T, Lattal KM. Molecular mechanisms of memory acquisition, consolidation and retrieval. Curr Opin Neurobiol. 2001;11:180–187. [PubMed]
  • Abel T, Nguyen PV, Barad M, Deuel TA, Kandel ER, Bourtchouladze R. Genetic demonstration of a role for PKA in the late phase of LTP and in hippocampus-based long-term memory. Cell. 1997;88:615–626. [PubMed]
  • Abraham WC, Mason SE, Demmer J, Williams JM, Richardson CL, Tate WP, Lawlor PA, Dragunow M. Correlations between immediate early gene induction and the persistence of long-term potentiation. Neuroscience. 1993;56:717–727. [PubMed]
  • Adamantidis AR, Zhang F, Aravanis AM, Deisseroth K, de Lecea L. Neural substrates of awakening probed with optogenetic control of hypocretin neurons. Nature. 2007;450:420–424. [PubMed]
  • Avissar S, Barki-Harrington L, Nechamkin Y, Roitman G, Schreiber G. Elevated dopamine receptor-coupled G(s) protein measures in mononuclear leukocytes of patients with schizophrenia. Schizophr Res. 2001;47:37–47. [PubMed]
  • Bechara A, Tranel D, Damasio H, Adolphs R, Rockland C, Damasio AR. Double dissociation of conditioning and declarative knowledge relative to the amygdala and hippocampus in humans. Science. 1995;269:1115–1118. [PubMed]
  • Blendy JA, Kaestner KH, Schmid W, Gass P, Schutz G. Targeting of the CREB gene leads to up-regulation of a novel CREB mRNA isoform. EMBO J. 1996;15:1098–1106. [PubMed]
  • Bliss TV, Collingridge GL. A synaptic model of memory: Long-term potentiation in the hippocampus. Nature. 1993;361:31–39. [PubMed]
  • Bourtchuladze R, Frenguelli B, Blendy J, Cioffi D, Schutz G, Silva AJ. Deficient long-term memory in mice with a targeted mutation of the cAMP-responsive element-binding protein. Cell. 1994;79:59–68. [PubMed]
  • Boyden ES, Zhang F, Bamberg E, Nagel G, Deisseroth K. Millisecond-timescale, genetically targeted optical control of neural activity. Nat Neurosci. 2005;8:1263–1268. [PubMed]
  • Branda CS, Dymecki SM. Talking about a revolution: The impact of site-specific recombinases on genetic analyses in mice. Dev Cell. 2004;6:7–28. [PubMed]
  • Brandon EP, Zhuo M, Huang YY, Qi M, Gerhold KA, Burton KA, Kandel ER, McKnight GS, Idzerda RL. Hippocampal long-term depression and depotentiation are defective in mice carrying a targeted disruption of the gene encoding the RI beta subunit of cAMP-dependent protein kinase. Proc Natl Acad Sci USA. 1995;92:8851–8855. [PubMed]
  • Brenner M, Kisseberth WC, Su Y, Besnard F, Messing A. GFAP promoter directs astrocyte-specific expression in transgenic mice. J Neurosci. 1994;14:1030–1037. [PubMed]
  • Brocard J, Warot X, Wendling O, Messaddeq N, Vonesch JL, Chambon P, Metzger D. Spatio-temporally controlled site-specific somatic mutagenesis in the mouse. Proc Natl Acad Sci USA. 1997;94:14559–14563. [PubMed]
  • Brockschnieder D, Lappe-Siefke C, Goebbels S, Boesl MR, Nave KA, Riethmacher D. Cell depletion due to diphtheria toxin fragment A after Cre-mediated recombination. Mol Cell Biol. 2004;24:7636–7642. [PMC free article] [PubMed]
  • Bucan M, Abel T. The mouse: Genetics meets behaviour. Nat Rev Genet. 2002;3:114–123. [PubMed]
  • Cao X, Wang H, Mei B, An S, Yin L, Wang LP, Tsien JZ. Inducible and selective erasure of memories in the mouse brain via chemical-genetic manipulation. Neuron. 2008;60:353–366. [PMC free article] [PubMed]
  • Caroni P. Overexpression of growth-associated proteins in the neurons of adult transgenic mice. J Neurosci Methods. 1997;71:3–9. [PubMed]
  • Casper KB, Jones K, McCarthy KD. Characterization of astrocyte-specific conditional knockouts. Genesis. 2007;45:292–299. [PubMed]
  • Chalfie M, Tu Y, Euskirchen G, Ward WW, Prasher DC. Green fluorescent protein as a marker for gene expression. Science. 1994;263:802–805. [PubMed]
  • Chen C, Rainnie DG, Greene RW, Tonegawa S. Abnormal fear response and aggressive behavior in mutant mice deficient for alpha-calcium-calmodulin kinase II. Science. 1994;266:291–294. [PubMed]
  • Cheng L, Jin Z, Liu L, Yan Y, Li T, Zhu X, Jing N. Characterization and promoter analysis of the mouse nestin gene. FEBS Lett. 2004;565:195–202. [PubMed]
  • Clegg CH, Correll LA, Cadd GG, McKnight GS. Inhibition of intracellular cAMP-dependent protein kinase using mutant genes of the regulatory type I subunit. J Biol Chem. 1987;262:13111–13119. [PubMed]
  • Collingridge GL, Kehl SJ, McLennan H. Excitatory amino acids in synaptic transmission in the Schaffer collateral-commissural pathway of the rat hippocampus. J Physiol. 1983;334:33–46. [PubMed]
  • Conklin BR, Hsiao EC, Claeysen S, Dumuis A, Srinivasan S, Forsayeth JR, Guettier JM, Chang WC, Pei Y, McCarthy KD, Nissenson RA, Wess J, et al. Engineering GPCR signaling pathways with RASSLs. Nat Methods. 2008;5:673–678. [PMC free article] [PubMed]
  • Coons AH, Creech HJ, Jones RN. Immunological properties of an antibody containing a fluorescent group. Proc Soc Exp Biol Med. 1941;47:200–202.
  • Crabbe JC, Wahlsten D, Dudek BC. Genetics of mouse behavior: Interactions with laboratory environment. Science. 1999;284:1670–1672. [PubMed]
  • Crawley JN, Belknap JK, Collins A, Crabbe JC, Frankel W, Henderson N, Hitzemann RJ, Maxson SC, Miner LL, Silva AJ, Wehner JM, Wynshaw-Boris A, et al. Behavioral phenotypes of inbred mouse strains: Implications and recommendations for molecular studies. Psychopharmacology (Berl) 1997;132:107–124. [PubMed]
  • de Lecea L, Kilduff TS, Peyron C, Gao X, Foye PE, Danielson PE, Fukuhara C, Battenberg EL, Gautvik VT, Bartlett FS, II, Frankel WN, van den Pol AN, et al. The hypocretins: Hypothalamus-specific peptides with neuroexcitatory activity. Proc Natl Acad Sci USA. 1998;95:322–327. [PubMed]
  • Deutsch JA. Spatial learning in mutant mice. Science. 1993;262:760–763. [PubMed]
  • Duffy SN, Nguyen PV. Postsynaptic application of a peptide inhibitor of cAMP-dependent protein kinase blocks expression of long-lasting synaptic potentiation in hippocampal neurons. J Neurosci. 2003;23:1142–1150. [PubMed]
  • Erdmann G, Schutz G, Berger S. Inducible gene inactivation in neurons of the adult mouse forebrain. BMC Neurosci. 2007;8:63. [PMC free article] [PubMed]
  • Feil R, Brocard J, Mascrez B, LeMeur M, Metzger D, Chambon P. Ligand-activated site-specific recombination in mice. Proc Natl Acad Sci USA. 1996;93:10887–10890. [PubMed]
  • Feil R, Wagner J, Metzger D, Chambon P. Regulation of Cre recombinase activity by mutated estrogen receptor ligand-binding domains. Biochem Biophys Res Commun. 1997;237:752–757. [PubMed]
  • Feng G, Mellor RH, Bernstein M, Keller-Peck C, Nguyen QT, Wallace M, Nerbonne JM, Lichtman JW, Sanes JR. Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP. Neuron. 2000;28:41–51. [PubMed]
  • Fischer M, Rulicke T, Raeber A, Sailer A, Moser M, Oesch B, Brandner S, Aguzzi A, Weissmann C. Prion protein (PrP) with amino-proximal deletions restoring susceptibility of PrP knockout mice to scrapie. EMBO J. 1996;15:1255–1264. [PubMed]
  • Forni PE, Scuoppo C, Imayoshi I, Taulli R, Dastru W, Sala V, Betz UA, Muzzi P, Martinuzzi D, Vercelli AE, Kageyama R, Ponzetto C. High levels of Cre expression in neuronal progenitors cause defects in brain development leading to microencephaly and hydrocephaly. J Neurosci. 2006;26:9593–9602. [PubMed]
  • Forrest D, Yuzaki M, Soares HD, Ng L, Luk DC, Sheng M, Stewart CL, Morgan JI, Connor JA, Curran T. Targeted disruption of NMDA receptor 1 gene abolishes NMDA response and results in neonatal death. Neuron. 1994;13:325–338. [PubMed]
  • Forss-Petter S, Danielson PE, Catsicas S, Battenberg E, Price J, Nerenberg M, Sutcliffe JG. Transgenic mice expressing beta-galactosidase in mature neurons under neuron-specific enolase promoter control. Neuron. 1990;5:187–197. [PubMed]
  • Frey U, Huang YY, Kandel ER. Effects of cAMP simulate a late stage of LTP in hippocampal CA1 neurons. Science. 1993;260:1661–1664. [PubMed]
  • Frey U, Frey S, Schollmeier F, Krug M. Influence of actinomycin D, a RNA synthesis inhibitor, on long-term potentiation in rat hippocampal neurons in vivo and in vitro. J Physiol. 1996;490 (Pt 3):703–711. [PubMed]
  • Furth PA, St Onge L, Boger H, Gruss P, Gossen M, Kistner A, Bujard H, Hennighausen L. Temporal control of gene expression in transgenic mice by a tetracycline-responsive promoter. Proc Natl Acad Sci USA. 1994;91:9302–9306. [PubMed]
  • Fuss B, Afshari FS, Colello RJ, Macklin WB. Normal CNS myelination in transgenic mice overexpressing MHC class I H-2L(d) in oligodendrocytes. Mol Cell Neurosci. 2001;18:221–234. [PubMed]
  • Gass P, Wolfer DP, Balschun D, Rudolph D, Frey U, Lipp HP, Schutz G. Deficits in memory tasks of mice with CREB mutations depend on gene dosage. Learn Mem. 1998;5:274–288. [PubMed]
  • Genoux D, Haditsch U, Knobloch M, Michalon A, Storm D, Mansuy IM. Protein phosphatase 1 is a molecular constraint on learning and memory. Nature. 2002;418:970–975. [PubMed]
  • Ginty DD, Kornhauser JM, Thompson MA, Bading H, Mayo KE, Takahashi JS, Greenberg ME. Regulation of CREB phosphorylation in the suprachiasmatic nucleus by light and a circadian clock. Science. 1993;260:238–241. [PubMed]
  • Gosgnach S, Lanuza GM, Butt SJ, Saueressig H, Zhang Y, Velasquez T, Riethmacher D, Callaway EM, Kiehn O, Goulding M. V1 spinal neurons regulate the speed of vertebrate locomotor outputs. Nature. 2006;440:215–219. [PubMed]
  • Gossen M, Bonin AL, Freundlieb S, Bujard H. Inducible gene expression systems for higher eukaryotic cells. Curr Opin Biotechnol. 1994;5:516–520. [PubMed]
  • Gossen M, Freundlieb S, Bender G, Muller G, Hillen W, Bujard H. Transcriptional activation by tetracyclines in mammalian cells. Science. 1995;268:1766–1769. [PubMed]
  • Grant SG, O’Dell TJ, Karl KA, Stein PL, Soriano P, Kandel ER. Impaired long-term potentiation, spatial learning, and hippocampal development in fyn mutant mice. Science. 1992;258:1903–1910. [PubMed]
  • Graves L, Dalvi A, Lucki I, Blendy JA, Abel T. Behavioral analysis of CREB alphadelta mutation on a B6/129 F1 hybrid background. Hippocampus. 2002;12:18–26. [PubMed]
  • Gross C, Zhuang X, Stark K, Ramboz S, Oosting R, Kirby L, Santarelli L, Beck S, Hen R. Serotonin1A receptor acts during development to establish normal anxiety-like behaviour in the adult. Nature. 2002;416:396–400. [PubMed]
  • Gu H, Marth JD, Orban PC, Mossmann H, Rajewsky K. Deletion of a DNA polymerase beta gene segment in T cells using cell type-specific gene targeting. Science. 1994;265:103–106. [PubMed]
  • Halassa MM, Florian C, Fellin T, Munoz JR, Lee SY, Abel T, Haydon PG, Frank MG. Astrocytic modulation of sleep homeostasis and cognitive consequences of sleep loss. Neuron. 2009;61:213–219. [PMC free article] [PubMed]
  • Harvey CD, Svoboda K. Locally dynamic synaptic learning rules in pyramidal neuron dendrites. Nature. 2007;450:1195–1200. [PMC free article] [PubMed]
  • Havekes R, Nijholt IM, Visser AK, Eisel UL, Van der Zee EA. Transgenic inhibition of neuronal calcineurin activity in the forebrain facilitates fear conditioning, but inhibits the extinction of contextual fear memories. Neurobiol Learn Mem. 2008;89:595–598. [PubMed]
  • Hebb DO. The Organization of Behavior. Wiley; New York: 1949. [PubMed]
  • Heim R, Tsien RY. Engineering green fluorescent protein for improved brightness, longer wavelengths and fluorescence resonance energy transfer. Curr Biol. 1996;6:178–182. [PubMed]
  • Heim R, Prasher DC, Tsien RY. Wavelength mutations and posttranslational autoxidation of green fluorescent protein. Proc Natl Acad Sci USA. 1994;91:12501–12504. [PubMed]
  • Heim R, Cubitt AB, Tsien RY. Improved green fluorescence. Nature. 1995;373:663–664. [PubMed]
  • Huang YY, Kandel ER. Recruitment of long-lasting and protein kinase A-dependent long-term potentiation in the CA1 region of hippocampus requires repeated tetanization. Learn Mem. 1994;1:74–82. [PubMed]
  • Imayoshi I, Ohtsuka T, Metzger D, Chambon P, Kageyama R. Temporal regulation of Cre recombinase activity in neural stem cells. Genesis. 2006;44:233–238. [PubMed]
  • Imayoshi I, Sakamoto M, Ohtsuka T, Takao K, Miyakawa T, Yamaguchi M, Mori K, Ikeda T, Itohara S, Kageyama R. Roles of continuous neurogenesis in the structural and functional integrity of the adult forebrain. Nat Neurosci. 2008;11:1153–1161. [PubMed]
  • Isiegas C, Park A, Kandel ER, Abel T, Lattal KM. Transgenic inhibition of neuronal protein kinase A activity facilitates fear extinction. J Neurosci. 2006;26:12700–12707. [PMC free article] [PubMed]
  • Isiegas C, McDonough C, Huang T, Havekes R, Fabian S, Wu LJ, Xu H, Zhao MG, Kim JI, Lee YS, Lee HR, Ko HG, et al. A novel conditional genetic system reveals that increasing neuronal cAMP enhances memory and retrieval. J Neurosci. 2008;28:6220–6230. [PMC free article] [PubMed]
  • Karpova AY, Tervo DG, Gray NW, Svoboda K. Rapid and reversible chemical inactivation of synaptic transmission in genetically targeted neurons. Neuron. 2005;48:727–735. [PubMed]
  • Kask K, Jerecic J, Zamanillo D, Wilbertz J, Sprengel R, Seeburg PH. Developmental profile of kainate receptor subunit KA1 revealed by Cre expression in YAC transgenic mice. Brain Res. 2000;876:55–61. [PubMed]
  • Kelly MP, Cheung YF, Favilla C, Siegel SJ, Kanes SJ, Houslay MD, Abel T. Constitutive activation of the G-protein subunit Galphas within forebrain neurons causes PKA-dependent alterations in fear conditioning and cortical Arc mRNA expression. Learn Mem. 2008;15:75–83. [PubMed]
  • Kida S, Josselyn SA, de Ortiz SP, Kogan JH, Chevere I, Masushige S, Silva AJ. CREB required for the stability of new and reactivated fear memories. Nat Neurosci. 2002;5:348–355. [PubMed]
  • Kogan JH, Frankland PW, Blendy JA, Coblentz J, Marowitz Z, Schutz G, Silva AJ. Spaced training induces normal long-term memory in CREB mutant mice. Curr Biol. 1997;7:1–11. [PubMed]
  • LeDoux JE. Emotion circuits in the brain. Annu Rev Neurosci. 2000;23:155–184. [PubMed]
  • Lerchner W, Xiao C, Nashmi R, Slimko EM, van Trigt L, Lester HA, Anderson DJ. Reversible silencing of neuronal excitability in behaving mice by a genetically targeted, ivermectin-gated Cl- channel. Neuron. 2007;54:35–49. [PubMed]
  • Li W, Zhou Y, Jentsch JD, Brown RA, Tian X, Ehninger D, Hennah W, Peltonen L, Lonnqvist J, Huttunen MO, Kaprio J, Trachtenberg JT, et al. Specific developmental disruption of disrupted-in-schizophrenia-1 function results in schizophrenia-related phenotypes in mice. Proc Natl Acad Sci USA. 2007;104:18280–18285. [PubMed]
  • Livet J, Weissman TA, Kang H, Draft RW, Lu J, Bennis RA, Sanes JR, Lichtman JW. Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system. Nature. 2007;450:56–62. [PubMed]
  • Loonstra A, Vooijs M, Beverloo HB, Allak BA, van Drunen E, Kanaar R, Berns A, Jonkers J. Growth inhibition and DNA damage induced by Cre recombinase in mammalian cells. Proc Natl Acad Sci USA. 2001;98:9209–9214. [PubMed]
  • Malleret G, Haditsch U, Genoux D, Jones MW, Bliss TV, Vanhoose AM, Weitlauf C, Kandel ER, Winder DG, Mansuy IM. Inducible and reversible enhancement of learning, memory, and long-term potentiation by genetic inhibition of calcineurin. Cell. 2001;104:675–686. [PubMed]
  • Mansuy IM, Winder DG, Moallem TM, Osman M, Mayford M, Hawkins RD, Kandel ER. Inducible and reversible gene expression with the rtTA system for the study of memory. Neuron. 1998;21:257–265. [PubMed]
  • Martin SJ, Grimwood PD, Morris RG. Synaptic plasticity and memory: An evaluation of the hypothesis. Annu Rev Neurosci. 2000;23:649–711. [PubMed]
  • Matsuo N, Reijmers L, Mayford M. Spine-type-specific recruitment of newly synthesized AMPA receptors with learning. Science. 2008;319:1104–1147. [PMC free article] [PubMed]
  • Mayford M, Bach ME, Huang YY, Wang L, Hawkins RD, Kandel ER. Control of memory formation through regulated expression of a CaMKII transgene. Science. 1996;274:1678–1683. [PubMed]
  • Mayr B, Montminy M. Transcriptional regulation by the phosphorylation-dependent factor CREB. Nat Rev Mol Cell Biol. 2001;2:599–609. [PubMed]
  • McHugh TJ, Blum KI, Tsien JZ, Tonegawa S, Wilson MA. Impaired hippocampal representation of space in CA1-specific NMDAR1 knockout mice. Cell. 1996;87:1339–1349. [PubMed]
  • McHugh TJ, Jones MW, Quinn JJ, Balthasar N, Coppari R, Elmquist JK, Lowell BB, Fanselow MS, Wilson MA, Tonegawa S. Dentate gyrus NMDA receptors mediate rapid pattern separation in the hippocampal network. Science. 2007;317:94–99. [PubMed]
  • Memo M, Kleinman JE, Hanbauer I. Coupling of dopamine D1 recognition sites with adenylate cyclase in nuclei accumbens and caudatus of schizophrenics. Science. 1983;221:1304–1307. [PubMed]
  • Metzger D, Ali S, Bornert JM, Chambon P. Characterization of the amino-terminal transcriptional activation function of the human estrogen receptor in animal and yeast cells. J Biol Chem. 1995a;270:9535–9542. [PubMed]
  • Metzger D, Clifford J, Chiba H, Chambon P. Conditional site-specific recombination in mammalian cells using a ligand-dependent chimeric Cre recombinase. Proc Natl Acad Sci USA. 1995b;92:6991–6995. [PubMed]
  • Minoretti P, Politi P, Coen E, Di Vito C, Bertona M, Bianchi M, Emanuele E. The T393C polymorphism of the GNAS1 gene is associated with deficit schizophrenia in an Italian population sample. Neurosci Lett. 2006;397:159–163. [PubMed]
  • Moriyoshi K, Masu M, Ishii T, Shigemoto R, Mizuno N, Nakanishi S. Molecular cloning and characterization of the rat NMDA receptor. Nature. 1991;354:31–37. [PubMed]
  • Morris RG, Anderson E, Lynch GS, Baudry M. Selective impairment of learning and blockade of long-term potentiation by an N-methyl-D-aspartate receptor antagonist, AP5. Nature. 1986;319:774–776. [PubMed]
  • Nagel G, Ollig D, Fuhrmann M, Kateriya S, Musti AM, Bamberg E, Hegemann P. Channelrhodopsin-1: A light-gated proton channel in green algae. Science. 2002;296:2395–2398. [PubMed]
  • Nagel G, Szellas T, Huhn W, Kateriya S, Adeishvili N, Berthold P, Ollig D, Hegemann P, Bamberg E. Channelrhodopsin-2, a directly light-gated cation-selective membrane channel. Proc Natl Acad Sci USA. 2003;100:13940–13945. [PubMed]
  • Nakanishi S. Molecular diversity of glutamate receptors and implications for brain function. Science. 1992;258:597–603. [PubMed]
  • Nakashiba T, Young JZ, McHugh TJ, Buhl DL, Tonegawa S. Transgenic inhibition of synaptic transmission reveals role of CA3 output in hippocampal learning. Science. 2008;319:1260–1264. [PubMed]
  • Nakazawa K, Quirk MC, Chitwood RA, Watanabe M, Yeckel MF, Sun LD, Kato A, Carr CA, Johnston D, Wilson MA, Tonegawa S. Requirement for hippocampal CA3 NMDA receptors in associative memory recall. Science. 2002;297:211–218. [PMC free article] [PubMed]
  • Nakazawa K, Sun LD, Quirk MC, Rondi-Reig L, Wilson MA, Tonegawa S. Hippocampal CA3 NMDA receptors are crucial for memory acquisition of one-time experience. Neuron. 2003;38:305–315. [PubMed]
  • Nakazawa K, McHugh TJ, Wilson MA, Tonegawa S. NMDA receptors, place cells and hippocampal spatial memory. Nat Rev Neurosci. 2004;5:361–372. [PubMed]
  • Nguyen PV, Woo NH. Regulation of hippocampal synaptic plasticity by cyclic AMP-dependent protein kinases. Prog Neurobiol. 2003;71:401–437. [PubMed]
  • Oberdick J, Smeyne RJ, Mann JR, Zackson S, Morgan JI. A promoter that drives transgene expression in cerebellar Purkinje and retinal bipolar neurons. Science. 1990;248:223–226. [PubMed]
  • O’Keefe J, Dostrovsky J. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. Brain Res. 1971;34:171–175. [PubMed]
  • Palmiter RD, Brinster RL. Germ-line transformation of mice. Annu Rev Genet. 1986;20:465–499. [PubMed]
  • Palmiter RD, Brinster RL, Hammer RE, Trumbauer ME, Rosenfeld MG, Birnberg NC, Evans RM. Dramatic growth of mice that develop from eggs microinjected with metallothionein-growth hormone fusion genes. Nature. 1982;300:611–615. [PMC free article] [PubMed]
  • Pascual O, Casper KB, Kubera C, Zhang J, Revilla-Sanchez R, Sul JY, Takano H, Moss SJ, McCarthy K, Haydon PG. Astrocytic purinergic signaling coordinates synaptic networks. Science. 2005;310:113–116. [PubMed]
  • Peyron C, Tighe DK, van den Pol AN, de Lecea L, Heller HC, Sutcliffe JG, Kilduff TS. Neurons containing hypocretin (orexin) project to multiple neuronal systems. J Neurosci. 1998;18:9996–10015. [PubMed]
  • Pfeifer A, Brandon EP, Kootstra N, Gage FH, Verma IM. Delivery of the Cre recombinase by a self-deleting lentiviral vector: Efficient gene targeting in vivo. Proc Natl Acad Sci USA. 2001;98:11450–11455. [PubMed]
  • Prasher DC, Eckenrode VK, Ward WW, Prendergast FG, Cormier MJ. Primary structure of the Aequorea victoria green-fluorescent protein. Gene. 1992;111:229–233. [PubMed]
  • Ramos-Vara JA. Technical aspects of immunohistochemistry. Vet Pathol. 2005;42:405–426. [PubMed]
  • Reijmers LG, Coats JK, Pletcher MT, Wiltshire T, Tarantino LM, Mayford M. A mutant mouse with a highly specific contextual fear-conditioning deficit found in an N-ethyl-N-nitrosourea (ENU) mutagenesis screen. Learn Mem. 2006;13:143–149. [PubMed]
  • Reijmers LG, Perkins BL, Matsuo N, Mayford M. Localization of a stable neural correlate of associative memory. Science. 2007;317:1230–1233. [PubMed]
  • Riond JL, Riviere JE. Pharmacology and toxicology of doxycycline. Vet Hum Toxicol. 1988;30:431–443. [PubMed]
  • Rotenberg A, Abel T, Hawkins RD, Kandel ER, Muller RU. Parallel instabilities of long-term potentiation, place cells, and learning caused by decreased protein kinase A activity. J Neurosci. 2000;20:8096–8102. [PubMed]
  • Rumpel S, LeDoux J, Zador A, Malinow R. Postsynaptic receptor trafficking underlying a form of associative learning. Science. 2005;308:83–88. [PubMed]
  • Sauer B, Henderson N. Site-specific DNA recombination in mammalian cells by the Cre recombinase of bacteriophage P1. Proc Natl Acad Sci USA. 1988;85:5166–5170. [PubMed]
  • Scharf MT, Woo NH, Lattal KM, Young JZ, Nguyen PV, Abel T. Protein synthesis is required for the enhancement of long-term potentiation and long-term memory by spaced training. J Neurophysiol. 2002;87:2770–2777. [PubMed]
  • Shaner NC, Campbell RE, Steinbach PA, Giepmans BN, Palmer AE, Tsien RY. Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp red fluorescent protein. Nat Biotechnol. 2004;22:1567–1572. [PubMed]
  • Silva AJ, Paylor R, Wehner JM, Tonegawa S. Impaired spatial learning in alpha-calcium-calmodulin kinase II mutant mice. Science. 1992a;257:206–211. [PubMed]
  • Silva AJ, Stevens CF, Tonegawa S, Wang Y. Deficient hippocampal long-term potentiation in alpha-calcium-calmodulin kinase II mutant mice. Science. 1992b;257:201–216. [PubMed]
  • Sineshchekov OA, Jung KH, Spudich JL. Two rhodopsins mediate phototaxis to low- and high-intensity light in Chlamydomonas reinhardtii. Proc Natl Acad Sci USA. 2002;99:8689–8694. [PubMed]
  • Struthers RS, Vale WW, Arias C, Sawchenko PE, Montminy MR. Somatotroph hypoplasia and dwarfism in transgenic mice expressing a non-phosphorylatable CREB mutant. Nature. 1991;350:622–624. [PubMed]
  • Suster ML, Seugnet L, Bate M, Sokolowski MB. Refining GAL4-driven transgene expression in Drosophila with a GAL80 enhancer-trap. Genesis. 2004;39:240–245. [PubMed]
  • Sweger EJ, Casper KB, Scearce-Levie K, Conklin BR, McCarthy KD. Development of hydrocephalus in mice expressing the G(i)-coupled GPCR Ro1 RASSL receptor in astrocytes. J Neurosci. 2007;27:2309–2317. [PubMed]
  • Takahashi JS, Shimomura K, Kumar V. Searching for genes underlying behavior: Lessons from circadian rhythms. Science. 2008;322:909–912. [PMC free article] [PubMed]
  • Tan EM, Yamaguchi Y, Horwitz GD, Gosgnach S, Lein ES, Goulding M, Albright TD, Callaway EM. Selective and quickly reversible inactivation of mammalian neurons in vivo using the Drosophila allatostatin receptor. Neuron. 2006;51:157–170. [PubMed]
  • Tanaka J, Horiike Y, Matsuzaki M, Miyazaki T, Ellis-Davies GC, Kasai H. Protein synthesis and neurotrophin-dependent structural plasticity of single dendritic spines. Science. 2008;319:1683–1687. [PMC free article] [PubMed]
  • Tsien JZ, Chen DF, Gerber D, Tom C, Mercer EH, Anderson DJ, Mayford M, Kandel ER, Tonegawa S. Subregion- and cell type-restricted gene knockout in mouse brain. Cell. 1996a;87:1317–1326. [PubMed]
  • Tsien JZ, Huerta PT, Tonegawa S. The essential role of hippocampal CA1 NMDA receptor-dependent synaptic plasticity in spatial memory. Cell. 1996b;87:1327–1338. [PubMed]
  • Vo N, Goodman RH. CREB-binding protein and p300 in transcriptional regulation. J Biol Chem. 2001;276:13505–13508. [PubMed]
  • Wang H, Feng R, Phillip Wang L, Li F, Cao X, Tsien JZ. CaMKII activation state underlies synaptic labile phase of LTP and short-term memory formation. Curr Biol. 2008;18:1546–1554. [PMC free article] [PubMed]
  • Woo NH, Duffy SN, Abel T, Nguyen PV. Genetic and pharmacological demonstration of differential recruitment of cAMP-dependent protein kinases by synaptic activity. J Neurophysiol. 2000;84:2739–2745. [PubMed]
  • Wood MA, Kaplan MP, Park A, Blanchard EJ, Oliveira AM, Lombardi TL, Abel T. Transgenic mice expressing a truncated form of CREB-binding protein (CBP) exhibit deficits in hippocampal synaptic plasticity and memory storage. Learn Mem. 2005;12:111–119. [PubMed]
  • Wood MA, Attner MA, Oliveira AM, Brindle PK, Abel T. A transcription factor-binding domain of the coactivator CBP is essential for long-term memory and the expression of specific target genes. Learn Mem. 2006;13:609–617. [PubMed]
  • Wulff P, Goetz T, Leppa E, Linden AM, Renzi M, Swinny JD, Vekovischeva OY, Sieghart W, Somogyi P, Korpi ER, Farrant M, Wisden W. From synapse to behavior: Rapid modulation of defined neuronal types with engineered GABAA receptors. Nat Neurosci. 2007;10:923–929. [PMC free article] [PubMed]
  • Zacharias DA, Tsien RY. Molecular biology and mutation of green fluorescent protein. Methods Biochem Anal. 2006;47:83–120. [PubMed]
  • Zars T, Fischer M, Schulz R, Heisenberg M. Localization of a short-term memory in Drosophila. Science. 2000;288:672–675. [PubMed]
  • Zhang Q, Pangrsic T, Kreft M, Krzan M, Li N, Sul JY, Halassa M, Van Bockstaele E, Zorec R, Haydon PG. Fusion-related release of glutamate from astrocytes. J Biol Chem. 2004;279:12724–12733. [PubMed]