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Dev Cell. Author manuscript; available in PMC Feb 24, 2013.
Published in final edited form as:
PMCID: PMC3580161
NIHMSID: NIHMS298601
GENE REGULATION BY MAPK SUBSTRATE COMPETITION
Yoosik Kim,1 María José Andreu,2 Bomyi Lim,1 Kwanghun Chung,3 Mark Terayama,4 Gerardo Jiménez,2 Celeste A. Berg,4 Hang Lu,3 and Stanislav Y. Shvartsman1
1 Department of Chemical and Biological Engineering and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
2 Institut de Biologia Molecular de Barcelona-CSIC and Institució Catalana de Recerca i Estudis Avançats, Parc Científic de Barcelona, Barcelona 08028, Spain
3 School of Chemical and Biological Engineering and Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta GA 30332, USA
4 Department of Genome Sciences, University of Washington, Seattle, WA 98195-5065, USA
Developing tissues are patterned by coordinated activities of signaling systems, which can be integrated by a regulatory region of a gene that binds multiple transcription factors or by a transcription factor that is modified by multiple enzymes. Based on a combination of genetic and imaging experiments in the early Drosophila embryo, we describe a signal integration mechanism that cannot be reduced to a single gene regulatory element or a single transcription factor. This mechanism relies on an enzymatic network formed by Mitogen Activated Protein Kinase (MAPK) and its substrates. Specifically, anteriorly localized MAPK substrates, such as Bicoid, antagonize MAPK-dependent downregulation of Capicua, a repressor which is involved in gene regulation along the dorsoventral axis of the embryo. MAPK substrate competition provides a basis for ternary interaction of the anterior, dorsoventral, and terminal patterning systems. A mathematical model of this interaction can explain gene expression patterns with both anteroposterior and dorsoventral polarities.
Similar to other multicellular organisms, Drosophila uses its ERK/MAPK pathway throughout embryogenesis. It is first used downstream of Torso receptor tyrosine kinase (RTK), to specify the non-segmented terminal regions of the future larva. Locally activated Torso establishes a two-peaked pattern of activated, double phosphorylated ERK/MAPK (dpERK) (Coppey et al., 2008; Gabay et al., 1997). One MAPK substrate is an HMG-box transcriptional repressor Capicua (Cic), which is uniformly expressed in the embryo (Jimenez et al., 2000). In a process essential for the development of the terminal structures, Cic is degraded at the poles in direct response to its phosphorylation by MAPK (Ajuria et al., 2011; Astigarraga et al., 2007; Jimenez et al., 2000). Another substrate of MAPK is an anteriorly localized homeodomain protein Bicoid (Bcd), which determines the anterior pattern of the embryo (Janody et al., 2000; Ronchi et al., 1993).
Together with another anteriorly localized MAPK substrate, Hunchback (Hb), Bcd antagonizes MAPK-dependent downregulation of Cic (Kim et al., 2010). Our earlier work supports a model whereby MAPK substrates indirectly affect each other by competing for their common regulator (Kim et al., 2010). Competitive effects of this type should be common in large-scale biomolecular networks where one regulator controls a large number of targets. Computational studies of mass-action networks demonstrate that, in general, competitive effects decay with distance (the number of interaction edges) from perturbed nodes (Maslov and Ispolatov, 2007). In other words, competitive effects could be localized to a specific node and thus might not significantly affect more distant network components. In the context of the terminal patterning system, anteriorly localized MAPK substrates can decrease the level of Cic downregulation, but the effect may be too small to impact Cic-dependent gene regulation.
Here, we present evidence to the contrary and propose that MAPK substrate competition controls gene expression in the early embryo. This conclusion is based on the analysis of the expression pattern of zerknüllt (zen), which encodes a homeodomain transcription factor and is expressed in a complex pattern that depends on the joint action of the terminal and dorsoventral (DV) patterning systems (Figure 1). zen expression is broadly activated by Zelda and possibly other maternal factors, and repressed in the ventral and lateral regions by Dorsal (Dl), a transcription factor that patterns the DV axis (Figure 1A and 1B) (Doyle et al., 1989; Jiang et al., 1993; Liang et al., 2008; Ratnaparkhi et al., 2006). At the poles, Dl-mediated repression of zen is antagonized by Torso signaling (Rusch and Levine, 1994).
Figure 1
Figure 1
Expression of zen mRNA exhibits AP asymmetry
The precise mechanism of zen de-repression by the terminal system has been unclear, but it is likely to depend on MAPK-dependent downregulation of Cic (Astigarraga et al., 2007; Goff et al., 2001; Jimenez et al., 2000). We demonstrate that the anti-repressive effect of MAPK signaling on zen is modulated by the anteriorly localized MAPK substrates. Specifically, removing anterior MAPK substrates makes zen expression symmetric along the anteroposterior (AP) axis. Our results support a mechanism whereby MAPK substrate competition controls spatial patterns of gene expression by coordinating the actions of the anterior, dorsoventral, and terminal systems. We formalize this mechanism in a mathematical model and demonstrate that this model correctly predicts zen expression in multiple genetic backgrounds.
Cic downregulation is required for zen expression at the poles
zen expression pattern displays a pronounced AP asymmetry: zen transcripts are present at the posterior but not at the anterior pole. This asymmetry is particularly clear when embryos are imaged in an upright position (Figure 1C). As shown in Figure 1D and 1E, zen transcript levels are markedly different at the anterior versus the posterior pole of the embryo. Below, we argue that AP asymmetry of zen expression can be explained by a mechanism that relies on MAPK substrate competition. Briefly, we propose that MAPK-dependent downregulation of Cic is responsible for zen de-repression at the poles. Anteriorly localized MAPK substrates inhibit Cic downregulation, increasing the level of Cic, and thus the strength of Dl-dependent zen repression at the anterior pole.
As a first step in evaluating this model, we asked whether Cic downregulation by Torso signaling contributes to zen expression at the poles of the embryo. Previous studies (Jimenez et al., 2000; Astigarraga et al., 2007) suggested that Cic is involved in Dl-dependent ventral repression of zen (Figure 1H–J). To test whether downregulation of Cic is also involved in Torso-dependent control of zen at the poles, we examined zen expression in embryos derived from trunk (trk) and cic double mutant females. trk encodes a Torso ligand, which is required for MAPK activation at the poles (Casanova et al., 1995) as well as the posterior expression of zen (Figure 1I). If the latter effect is due to the lack of Cic downregulation, then posterior expression of zen should be restored in embryos that lack both Cic and Trk. Consistent with this prediction, we found that zen is significantly de-repressed in embryos derived from trk cic double mutant flies (Figure 1K).
Taken together with the results of previous studies, our data support a model where Cic downregulation is necessary for zen expression at the poles. Based on the previously characterized AP asymmetry of Cic downregulation (Figure 1F), we propose that higher levels of Cic at the anterior pole are responsible, at least in part, for reduced expression of zen in this region. We found that both of these asymmetries are seen in other Drosophilids (Figure S1), suggesting that the proposed mechanism is conserved and might be functionally significant.
Mathematical model describes zen expression
Based on the above results, we formulated a mathematical model of zen regulation: zen is activated by spatially uniform activators, such as Zelda (U), and repressed by the ventral-to-dorsal nuclear gradient of Dl. Repression of zen by Dl requires a cofactor (R), which is downregulated at the poles by the terminal signal (E, which models locally activated MAPK). At the anterior pole, the enzymatic activity of E towards R is inhibited by the anteriorly localized substrates of E (B, which models the combined effects of Bcd and Hb) (Figure 2B). In the simplest case, R can be viewed as Cic, which is clearly involved in Dl-dependent zen repression (Figure 1).
Figure 2
Figure 2
Mathematical model of zen regulation by MAPK substrate competition
We note that our model does not rely on the assumption that Cic is the only MAPK substrate required for Dl-dependent repression of zen (Dubnicoff et al., 1997; Jiang et al., 1993; Jimenez et al., 2000). Thus, R can represent a collective effect of spatially uniform MAPK substrates that are involved in Dl-dependent zen repression. We expect that these substrates, some of which are yet to be identified, will also be subject to competitive effects of anteriorly localized MAPK substrates. This idea is supported by the following experiment, which used nuclear accumulation of ectopically expressed Yan as a Cic-independent reporter of MAPK activity. Similar to Cic, Yan is degraded in response to MAPK phosphorylation (Figure S2) (Lai and Rubin, 1992; Rebay and Rubin, 1995). We found that the spatial pattern of Yan downregulation is also asymmetric: nuclear levels of Yan at the anterior pole were higher than at the posterior pole (Figure 1G). This suggests that MAPK activity towards all of its uniformly distributed substrates is lower in this region of the embryo.
According to our model, zen repression requires a critical value of both Dl, distributed in a ventral-to-dorsal pattern, and R, distributed in a AP pattern. To find this pattern, we used an enzyme kinetics model where anteriorly localized substrates of E competitively inhibit R downregulation at the poles. Starting from the experimentally observed shape of the nuclear Dl gradient (Chung et al., 2011; Kanodia et al., 2009), the AP asymmetry of Cic downregulation (Kim et al., 2010), and the expression boundary of zen in the midbody of the embryo (Chung et al., 2011), we derived an analytical expression that describes zen expression boundary on the surface of a spheroid that approximates the three-dimensional shape of the embryo (see Experimental Procedures for a more detailed presentation of the model).
Remarkably, this simple model can account for changes of zen expression in response to multiple perturbations of maternal patterning systems (Figure 2D–H). For instance, removal of anterior MAPK substrates leads to ectopic zen expression at the anterior pole (Figure 2G), making the pattern symmetric along the AP axis. This model also successfully predicts the persistence of zen expression at the posterior pole of embryos with uniform nuclear Dl (Figure 2H), in agreement with zen expression in embryos derived from cactus mutant females (Rushlow et al., 1987). Thus, this model parsimoniously explains how zen expression changes in multiple mutant backgrounds. Finally, this model makes a number of predictions, which motivated our experiments presented below.
Experimental tests of model predictions
A substrate competition model for zen regulation predicts that zen expression should become symmetric in embryos that lack anteriorly localized MAPK substrates (Figure 2G). To test this prediction, we examined zen expression in embryos that lack both Bcd and maternally contributed Hb, which is also distributed in an AP pattern and phosphorylated by MAPK. In these embryos, both MAPK phosphorylation and signaling activity, reported by Cic downregulation, are essentially symmetric (Figure 3C and 3D). Furthermore, a target gene of MAPK signaling, tailless (tll), is expressed as two symmetric caps at the poles (Figure 3F). Thus, MAPK signaling and its transcriptional effects are indeed symmetric in these embryos. Importantly, zen expression also becomes symmetric (Figure 3H–J; Figure S3B–D).
Figure 3
Figure 3
Anterior repression of zen requires Bcd and Hb
These observations are consistent with the notion that the AP asymmetry of the wild type zen expression pattern is generated by anteriorly localized MAPK substrates. Furthermore, these observations suggest that Bcd and Hb constitute a significant fraction of all MAPK substrates as the anterior pole. Moreover, loss of bcd alone increases zen expression at the anterior pole (Figure 4N–P). Thus, removal of a single binding partner of MAPK can generate a significant downstream effect in a larger patterning network.
Figure 4
Figure 4
Anterior repression of zen does not require transcriptional activity of Bcd
Another prediction of our model is that the inhibitory effects of Bcd on MAPK signaling and zen expression do not depend on its transcriptional activity. To test this prediction, we used Bcd-A9, a (K50L) form of Bcd that does not bind to Bcd’s DNA recognition sequences and thus, cannot activate endogenous transcriptional targets of Bcd (Hanes et al., 1994). We found that expression of two copies of this construct, driven by Bcd endogenous promoter in the bcd homozygous embryos (Bcd-A9;bcd) does not activate several bcd targets (Figure 4E–H), yet does rescue both MAPK phosphorylation and Cic downregulation gradients (Figure 4A–D). Importantly, zen expression is greatly reduced at the anterior pole in these embryos (Figure 4J–L). Thus, transcriptionally inert Bcd can inhibit MAPK-dependent downregulation of Cic and this effect propagates to the Dl-dependent gene expression.
Another argument supporting our model of gene regulation by MAPK substrate competition is based on the analysis of the expression of hb, which is transcriptionally regulated by both anterior and terminal systems. In embryos derived from bcd homozygous flies, hb is expressed at the poles, reflecting its activation by the terminal system (Margolis et al., 1995). However, the anterior domain of this pattern is eliminated by expressing two copies of Bcd-A9 (Figure 4F). This suggests that transcriptionally inert Bcd weakens terminal signaling at the anterior region, leading to a drastic reduction of the anterior hb expression. This conclusion is further strengthened by the fact that, in the same background, the anterior expression of hkb and tll, both of which depend on MAPK signaling, is also attenuated, even when compared to their expression in embryos derived from bcd homozygous females (Figure 4H; data not shown).
Taken together with the wild type pattern of zen expression and its changes in mutant backgrounds, our results support a non-transcriptional mechanism, according to which the anterior repression of zen depends on competitive inhibition of Cic downregulation by anteriorly localized MAPK substrates. While our proof of this mechanism is not exhaustive, we cannot formulate a viable alternative that would have a similar explanatory and predictive power. For instance, we could rule out the alternative models that rely on the AP asymmetry of the Dl gradient or on the more indirect, transcriptional, effect of the terminal system (see Figure S4A–H).
Patterning of the anterior region of the Drosophila embryo depends on the concentration gradient of Bcd, the nuclear localization gradient of Dl, and the phosphorylation gradient of MAPK (Casanova, 1990; Driever and Nusslein-Volhard, 1988; Rushlow et al., 1989; St Johnston and Nusslein-Volhard, 1992). Previous studies revealed several pairwise interactions between these signals (Pignoni et al., 1992; Ronchi et al., 1993; Rusch and Levine, 1994). In particular, Bcd and Dl synergistically regulate a large number of genes by binding to common cis regulatory regions of those genes (Papatsenko et al., 2009). Similarly, the concentration gradient of Cic, established by MAPK signaling, controls the posterior expression borders of genes activated by Bcd (Lohr et al., 2009).
We discovered an additional, ternary interaction of the AP, DV, and terminal systems. This mechanism cannot be reduced to a particular regulatory region on DNA or to a single protein. Instead, it is based on competitive effects in a network formed by MAPK and its substrates. Based on the asymmetry of the wild type pattern of zen mRNA, we propose that the anteriorly localized substrates of MAPK act as competitive inhibitors in the process of MAPK-dependent gene de-repression. The same mechanism can regulate other genes that are repressed by the Dl gradient. For example, decapentaplegic (dpp), another gene expressed in the dorsal region, is regulated by the joint action of the DV and terminal systems (Casanova, 1991; Huang et al., 1993). Similar to zen, the expression of dpp is weaker at the anterior pole than at the posterior (data not shown).
At this point, the main evidence supporting the notion that MAPK substrate competition controls gene expression in the embryo is provided by experiments that perturb the expression levels of MAPK substrates. In the future, we plan to complement these experiments by perturbations of the docking domains involved in MAPK interactions with its binding partners. For instance, according to our model, the spatial pattern of zen should become symmetric in embryos in which the wild type Bcd protein is replaced by a Bcd variant that lacks MAPK docking domain. To test this prediction, we plan to identify the docking domains involved in MAPK/Bcd and other MAPK-dependent interactions in the early embryo. Identification of these domains should shed light on the functional significance of MAPK substrate competition in the early embryo and other stages of development.
Competitive effects are likely to be a general feature of biomolecular networks, which are commonly organized around hubs, regulators that can interact with a large number of targets. For instance, in post-transcriptional regulation by microRNAs, different targets of a given microRNA can compete for their common regulator. Indeed, a number of recent studies suggest that mRNA competition in microRNA networks can lead to indirect inhibitory interactions between transcripts (Ebert et al., 2007). As a consequence, a given mRNA can control translation of other transcripts by regulating activity of their common microRNAs, in a way that is independent of its protein-coding function (Poliseno et al., 2010). Exploring network-level consequences of such effects requires a quantitative approach, similar to the one used in our study of MAPK signaling in Drosophila embryo.
In situ hybridization and immunohistochemistry
Fluorescence in-situ hybridization (FISH) was performed as described elsewhere (Kosman et al., 2004). Embryos were dechorionated in 50% bleach and fixed in 8% formaldehyde in PBS for 20 mins. Embryos were then incubated in 90% xylene for 1 hr and then treated with 80% acetone for 10 mins at −20°C. Next, embryos were hybridized overnight at 60°C with anti-sense probes labeled with digoxigenin (DIG) or fluorescein (FITC). Embryos with labeled probes were visualized using standard immunofluorescence technique. The following primary antibodies were used in this study: sheep anti-DIG (Roche, 1:200), mouse anti-dpERK (Sigma, 1:100), mouse anti-Dorsal (DSHB, 1:100), rabbit anti-Cic (1:2000), mouse anti-Yan (DSHB, 1:100), rat anti-Hkb (Ashyraliyev et al., 2009), and rabbit anti-FITC (Invitrogen, 1:200). The Alexa Flour conjugated secondary antibodies were from Invitrogen (1:500). DAPI (1:10,000, Vector Laboratories) was used to visualize nuclei.
Microscopy and image processing
Imaging was done on a Zeiss LSM510 confocal microscope, with a Zeiss C-Apo 20× objective (NA=0.6). High resolution images (512×512 pixels, 12bits depth) were obtained from a focal plane in the mid-horizontal cross section of the embryo. Images of individual embryos were automatically extracted from raw confocal files and re-oriented as described elsewhere (Coppey et al., 2008). For end-on imaging, embryos were oriented using previously described microfluidic device (Chung et al., 2011). Zeiss LSM510 confocal microscope with a C-Apo 40× water immersion objective (NA=1.2) was used for end-on imaging.
Gradient quantification and statistical analysis
Quantification of spatial gradients of a protein of interest (dpERK, Cic, or Yan) was performed as described previously (Coppey et al., 2008). Confocal images of embryos stained with antibodies detecting the protein of interest were analyzed using custom-made Matlab image processing program. A Student’s t-test was used to determine the statistical significance in the asymmetry of Cic and Yan gradients. Briefly, a quantified gradient from a single embryo was first separated into anterior and posterior regions; these two regions were then independently approximated by an inverse Gaussian (constant minus a Gaussian). The minima of the two fitted curves provide the anterior and posterior levels of Cic (or Yan) in this embryo. This process was repeated for gradients extracted from 20–30 of embryos. A t-test was used to test whether the mean of this sample is significantly different from 1.
Mathematical model of zen regulation
We explain our model using a rectangular embryo, where the x and y directions represent the AP and DV axes of the actual embryo. We assume that the AP and terminal signals are uniform along the DV axis. The rectangular case is presented here for simplicity, because it contains all of the essential features of our model, and leads to a simple algebraic expression that describes the boundary of zen expression. The same model applies for an embryo shaped as a prolate spheroid and was used to generate images in Figure 2.
Let R denote a factor, such as Cic, that acts together with Dl to repress zen. The joint repressive action of Dl and R can be modeled by the product of Dl and R concentrations, Dl*R. In the model, zen is expressed when this product is below some threshold, denoted by Θ. Thus, the level of zen expression, denoted by Z, is given by Z (x, y) = H (Θ−Dl(yR(x)), where H (u) is the Heaviside step function: H (u)=1, when u> 0 and zero otherwise. The boundary of zen expression, denoted by yz(x) is then given by the implicit function: Θ= Dl(y) × R(x). This equation can be related to the experimentally observed profiles of the Bcd, Dl, and Cic gradients.
We assume that repressor R is produced at a constant rate, denoted by SR, and degraded via two parallel channels: constitutive degradation throughout the embryo and faster degradation that depends on the terminal signal. A steady state model for repressor level then becomes SR = kcR +V (R), where kc is the rate constant of constitutive degradation, and V (R) is the rate law for the enzymatic degradation that depends on the terminal signal. We assume that the spatial pattern of active enzyme, denoted by E(x) (phosphorylated MAPK) is uniform along the DV axis. The spatial pattern of enzyme distribution E(x) is given by the product of the amplitude E0 and a symmetric function fE(x) that is equal to one at the poles and close to zero in the middle of embryo.
We assume that degradation of R follows Michaelis-Menten kinetics, with constants kcat and KM. We also assume that Bcd competitively inhibits MAPK-dependent repressor degradation. This leads to the following expression for the rate of signal-induced repressor degradation: V (R) = kcatE (x)R(x) / (KM + R(x) + KMB(x) / KI), where KI is the equilibrium constant of enzyme-Bcd interaction.
To simplify the algebra, we assume that the enzyme is not saturated by R. Under this assumption, V(R) = kcatE(x)R / KM (1+ B(x) / KI). Substituting this into the mass balance for repressor levels we get the following expression for the spatial pattern of R:
equation M1
where α and β are defined as: α= kcatE0/kcKM, β= B0/KI. These parameters can be estimated from the wild type pattern of Cic downregulation: At the posterior pole, where fE(x) =1, but the concentration of anteriorly localized Bcd is zero (fB(x) = 0), Cic is downregulated to 10% of its level in the midbody of the embryo, where fE(x) =0. From this result, we find that α9. At the same time, at the anterior of the embryo, where fB(u) =1, Cic is downregulated only to ~50% of its midbody level. Based on this result, and on the estimate for α, we get that β4. Combining these estimates with the shape of the Bcd gradient and the shape of the terminal signal, we can predict how R is distributed throughout the AP axis of the embryo.
The equation for the boundary of zen expression then takes the following form:
equation M2
where D0 is the amplitude of the nuclear Dl gradient and fD (y) is the shape that characterizes its distribution along the embryo.
Introducing one more dimensionless group γ [equivalent] Θkc/(S × D0), we get the following equation for the zen expression boundary:
equation M3
The remaining parameter of the model, γ, can be estimated from the location of the zen boundary in the midbody region of the embryo, where fE(x) ≈ 0, which implies that γ = fD (yZ,m), where yZ,m denotes the position of the zen boundary at the midbody region of the embryo. Based on our previous imaging results (Chung et al., 2011; Kanodia et al., 2009), we estimate that γ0.1.
Putting everything together we get the following equation for the expression boundary of the wild type pattern:
equation M4
Note that the values of the three dimensionless groups in the model were obtained from the asymmetries of the wild type pattern of Cic downregulation, the location of the zen expression boundary in the midbody region of the embryo, and the spatial distribution of the nuclear Dl gradient in the midbody region.
We can now combine the values of α, β, and γ with the empirically determined distributions for the patterning signals, fD(y), fE(x), and fB(x), to plot the wild type pattern of zen expression. This model predicts how the zen expression boundary “bends” in response to variations in the levels of anterior, terminal, and dorsoventral signals. For example, removing Bcd makes MAPK more available for R, lowering a co-repressor that acts together with Dl in zen repression, and results in ectopic zen at the anterior pole (Figure 2G).
HIGHLIGHTS
  • MAPK substrates compete for access to MAPK in the early Drosophila embryo
  • Anterior substrates promote Capicua action by blocking MAPK-dependent degradation
  • Substrate competition explains gene expression patterns with complex AP/DV polarity
Supplementary Material
01
Acknowledgments
We thank Ze’ev Paroush, Eric Wieschaus, Mathieu Coppey, Oliver Grimm, Trudi Schüpbach, Christine Rushlow, Ulrike Löhr, and members of Shvartsman lab for multiple helpful discussions. We thank Trudi Schüpbach, Christine Rushlow, Natalie Dostatni, Steve Hanes, Johannes Jaeger, Kim Rittenhouse, and Oliver Grimm for reagents used in this work. SYS acknowledges partial support by NSF via grant DMS-0718604, as well as P50 GM071508 and RO1 GM078079 grants from the NIH. GJ acknowledges support by ICREA by grants from MICINN (BFU2008-01875) and AGAUR (2009SGR-1075). HL was supported by NSF DBI-0649833, NIH NS058465, Sloan Foundation, and DuPont Foundation.
Footnotes
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  • Ajuria L, Nieva C, Winkler C, Kuo D, Samper N, Andreu MJ, Helman A, Gonzalez-Crespo S, Paroush Z, Courey AJ, et al. Capicua DNA-binding sites are general response elements for RTK signaling in Drosophila. Development. 2011;138:915–924. [PubMed]
  • Ashyraliyev M, Siggens K, Janssens H, Blom J, Akam M, Jaeger J. Gene circuit analysis of the terminal gap gene huckebein. PLoS Comput Biol. 2009;5:e1000548. [PMC free article] [PubMed]
  • Astigarraga S, Grossman R, Diaz-Delfin J, Caelles C, Paroush Z, Jimenez G. A MAPK docking site is critical for downregulation of Capicua by Torso and EGFR RTK signaling. EMBO J. 2007;26:668–677. [PubMed]
  • Casanova J. Pattern formation under the control of the terminal system in the Drosophila embryo. Development. 1990;110:621–628. [PubMed]
  • Casanova J. Interaction between torso and dorsal, two elements of different transduction pathways in the Drosophila embryo. Mech Dev. 1991;36:41–45. [PubMed]
  • Casanova J, Furriols M, McCormick CA, Struhl G. Similarities between trunk and spatzle, putative extracellular ligands specifying body pattern in Drosophila. Genes Dev. 1995;9:2539–2544. [PubMed]
  • Chung K, Kim Y, Kanodia JS, Gong E, Shvartsman SY, Lu H. A microfluidic array for large-scale ordering and orientation of embryos. Nat Methods. 2011;8:171–176. [PubMed]
  • Coppey M, Boettiger AN, Berezhkovskii AM, Shvartsman SY. Nuclear trapping shapes the terminal gradient in the Drosophila embryo. Curr Biol. 2008;18:915–919. [PMC free article] [PubMed]
  • Doyle HJ, Kraut R, Levine M. Spatial regulation of zerknullt: a dorsal-ventral patterning gene in Drosophila. Genes Dev. 1989;3:1518–1533. [PubMed]
  • Driever W, Nusslein-Volhard C. The bicoid protein determines position in the Drosophila embryo in a concentration-dependent manner. Cell. 1988;54:95–104. [PubMed]
  • Dubnicoff T, Valentine SA, Chen G, Shi T, Lengyel JA, Paroush Z, Courey AJ. Conversion of dorsal from an activator to a repressor by the global corepressor Groucho. Genes Dev. 1997;11:2952–2957. [PubMed]
  • Ebert MS, Neilson JR, Sharp PA. MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells. Nat Methods. 2007;4:721–726. [PubMed]
  • Gabay L, Seger R, Shilo BZ. MAP kinase in situ activation atlas during Drosophila embryogenesis. Development. 1997;124:3535–3541. [PubMed]
  • Goff DJ, Nilson LA, Morisato D. Establishment of dorsal-ventral polarity of the Drosophila egg requires capicua action in ovarian follicle cells. Development. 2001;128:4553–4562. [PubMed]
  • Hanes SD, Riddihough G, Ish-Horowicz D, Brent R. Specific DNA recognition and intersite spacing are critical for action of the bicoid morphogen. Mol Cell Biol. 1994;14:3364–3375. [PMC free article] [PubMed]
  • Huang JD, Schwyter DH, Shirokawa JM, Courey AJ. The interplay between multiple enhancer and silencer elements defines the pattern of decapentaplegic expression. Genes Dev. 1993;7:694–704. [PubMed]
  • Janody F, Sturny R, Catala F, Desplan C, Dostatni N. Phosphorylation of bicoid on MAP-kinase sites: contribution to its interaction with the torso pathway. Development. 2000;127:279–289. [PubMed]
  • Jiang J, Cai H, Zhou Q, Levine M. Conversion of a dorsal-dependent silencer into an enhancer: evidence for dorsal corepressors. EMBO J. 1993;12:3201–3209. [PubMed]
  • Jimenez G, Guichet A, Ephrussi A, Casanova J. Relief of gene repression by torso RTK signaling: role of capicua in Drosophila terminal and dorsoventral patterning. Genes Dev. 2000;14:224–231. [PubMed]
  • Kanodia JS, Rikhy R, Kim Y, Lund VK, DeLotto R, Lippincott-Schwartz J, Shvartsman SY. Dynamics of the Dorsal morphogen gradient. Proc Natl Acad Sci U S A. 2009;106:21707–21712. [PubMed]
  • Kim Y, Coppey M, Grossman R, Ajuria L, Jimenez G, Paroush Z, Shvartsman SY. MAPK substrate competition integrates patterning signals in the Drosophila embryo. Curr Biol. 2010;20:446–451. [PMC free article] [PubMed]
  • Kosman D, Mizutani CM, Lemons D, Cox WG, McGinnis W, Bier E. Multiplex detection of RNA expression in Drosophila embryos. Science. 2004;305:846. [PubMed]
  • Lai ZC, Rubin GM. Negative control of photoreceptor development in Drosophila by the product of the yan gene, an ETS domain protein. Cell. 1992;70:609–620. [PubMed]
  • Liang HL, Nien CY, Liu HY, Metzstein MM, Kirov N, Rushlow C. The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila. Nature. 2008;456:400–403. [PMC free article] [PubMed]
  • Lohr U, Chung HR, Beller M, Jackle H. Antagonistic action of Bicoid and the repressor Capicua determines the spatial limits of Drosophila head gene expression domains. Proc Natl Acad Sci U S A. 2009;106:21695–21700. [PubMed]
  • Margolis JS, Borowsky ML, Steingrimsson E, Shim CW, Lengyel JA, Posakony JW. Posterior stripe expression of hunchback is driven from two promoters by a common enhancer element. Development. 1995;121:3067–3077. [PubMed]
  • Maslov S, Ispolatov I. Propagation of large concentration changes in reversible protein-binding networks. Proc Natl Acad Sci U S A. 2007;104:13655–13660. [PubMed]
  • Papatsenko D, Goltsev Y, Levine M. Organization of developmental enhancers in the Drosophila embryo. Nucleic Acids Res. 2009;37:5665–5677. [PMC free article] [PubMed]
  • Pignoni F, Steingrimsson E, Lengyel JA. bicoid and the terminal system activate tailless expression in the early Drosophila embryo. Development. 1992;115:239–251. [PubMed]
  • Poliseno L, Salmena L, Zhang J, Carver B, Haveman WJ, Pandolfi PP. A coding-independent function of gene and pseudogene mRNAs regulates tumour biology. Nature. 2010;465:1033–1038. [PMC free article] [PubMed]
  • Ratnaparkhi GS, Jia S, Courey AJ. Uncoupling dorsal-mediated activation from dorsal-mediated repression in the Drosophila embryo. Development. 2006;133:4409–4414. [PubMed]
  • Rebay I, Rubin GM. Yan functions as a general inhibitor of differentiation and is negatively regulated by activation of the Ras1/MAPK pathway. Cell. 1995;81:857–866. [PubMed]
  • Ronchi E, Treisman J, Dostatni N, Struhl G, Desplan C. Down-regulation of the Drosophila morphogen bicoid by the torso receptor-mediated signal transduction cascade. Cell. 1993;74:347–355. [PubMed]
  • Rusch J, Levine M. Regulation of the dorsal morphogen by the Toll and torso signaling pathways: a receptor tyrosine kinase selectively masks transcriptional repression. Genes Dev. 1994;8:1247–1257. [PubMed]
  • Rushlow C, Frasch M, Doyle H, Levine M. Maternal regulation of zerknullt: a homoeobox gene controlling differentiation of dorsal tissues in Drosophila. Nature. 1987;330:583–586. [PubMed]
  • Rushlow CA, Han K, Manley JL, Levine M. The graded distribution of the dorsal morphogen is initiated by selective nuclear transport in Drosophila. Cell. 1989;59:1165–1177. [PubMed]
  • St Johnston D, Nusslein-Volhard C. The origin of pattern and polarity in the Drosophila embryo. Cell. 1992;68:201–219. [PubMed]