Search tips
Search criteria 


Logo of plosonePLoS OneView this ArticleSubmit to PLoSGet E-mail AlertsContact UsPublic Library of Science (PLoS)
PLoS One. 2010; 5(9): e12667.
Published online 2010 September 10. doi:  10.1371/journal.pone.0012667
PMCID: PMC2937028

Claudin 13, a Member of the Claudin Family Regulated in Mouse Stress Induced Erythropoiesis

Laurent Rénia, Editor


Mammals are able to rapidly produce red blood cells in response to stress. The molecular pathways used in this process are important in understanding responses to anaemia in multiple biological settings. Here we characterise the novel gene Claudin 13 (Cldn13), a member of the Claudin family of tight junction proteins using RNA expression, microarray and phylogenetic analysis. We present evidence that Cldn13 appears to be co-ordinately regulated as part of a stress induced erythropoiesis pathway and is a mouse-specific gene mainly expressed in tissues associated with haematopoietic function. CLDN13 phylogenetically groups with its genomic neighbour CLDN4, a conserved tight junction protein with a putative role in epithelial to mesenchymal transition, suggesting a recent duplication event. Mechanisms of mammalian stress erythropoiesis are of importance in anaemic responses and expression microarray analyses demonstrate that Cldn13 is the most abundant Claudin in spleen from mice infected with Trypanosoma congolense. In mice prone to anaemia (C57BL/6), its expression is reduced compared to strains which display a less severe anaemic response (A/J and BALB/c) and is differentially regulated in spleen during disease progression. Genes clustering with Cldn13 on microarrays are key regulators of erythropoiesis (Tal1, Trim10, E2f2), erythrocyte membrane proteins (Rhd and Gypa), associated with red cell volume (Tmcc2) and indirectly associated with erythropoietic pathways (Cdca8, Cdkn2d, Cenpk). Relationships between genes appearing co-ordinately regulated with Cldn13 post-infection suggest new insights into the molecular regulation and pathways involved in stress induced erythropoiesis and suggest a novel, previously unreported role for claudins in correct cell polarisation and protein partitioning prior to erythroblast enucleation.


The Claudins are a family of more than 23 small (20–27 kDa) tetraspan transmembrane proteins[1] which, alongside occludin, are the major components of tight junction (TJ) filaments in epithelial and endothelial cells. Tight junctions act as a primary barrier to the diffusion of solutes through the intercellular space and also have an important role in creating a boundary between the apical and the basolateral plasma membrane domains, allowing the specialized functions of each surface to be maintained [2]. As well as paracellular ion transport, TJs play a role in recruiting various cytoskeletal and signalling molecules at their cytoplasmic surface. TJ proteins therefore, play critical roles in cellular proliferation and neoplastic pathways by linking extracellular proteins to intracellular signalling pathways and the cytoskeleton [3], [4], [5]. Intracellularly, Claudins are connected with several TJ-associated proteins, including TJP1, 2 and 3 (ZO-1,2,3), INADL (PATJ) and MPDZ (MUPP1) [6], via a C-terminal PDZ-binding motif. MPDZ is an interacting partner of the receptor (KIT) for the haemopoietic cytokine stem cell factor, KITL (SCF) [7]. The activity of members of the Claudin family (Claudins 1, 2, 3, 4 and 7) is influenced by the transcription factors SNAI1 and 2 [8], [9], [10], which are key regulators of epithelial mesenchymal transition, and various kinases including protein kinase A (PKA) and protein kinase C (PKC) [11]. In the case of Claudins 1 and 2, their regulation by SNAI1 is downstream of TGFβ signalling mediated by the PI3K and MEK pathways [9].

Stress induced erythropoiesis is a process invoked under conditions of anaemia and requires significant proliferation of progenitor cells before terminal differentiation processes are invoked. In adult mammals the usual site of erythropoiesis is bone marrow, however, under conditions of anaemic stress (e.g. caused by acute bleeding or parasitic infection) the spleen can become a major site of red blood cell (RBC) production. This is observed as increased numbers of erythropoietic islands, the functional units of erythropoiesis, comprising a central macrophage surrounded by erythrocytic cells at various stages of maturation. In addition, in adult mice (but not humans) a significant proportion of extra-medullary erythropoiesis normally occurs in spleen [12]. The master regulator of erythropoietic activity is erythropoietin (EPO) which is transcriptionally controlled by hypoxia-inducible factor-1alpha (HIF1A) [13], [14]. Reduced tissue oxygen levels, as observed in anaemia, induce upregulation of EPO by HIF1A and a subsequent rise in RBC production. Under conditions of stress this system is modulated by other factors including bone morphogenetic protein-4 (BMP4) and KITL (SCF) which are essential for responsiveness of erythroid progenitors to EPO signalling [14]. Phosphatidylinositol 3-kinase (PI3K) enzymes regulate key signal transduction pathways controlling cell processes implicated in carcinogenesis and PI3K signalling downstream of both EPO and KITL, is thought to co-ordinate stress induced erythropoietic expansion [15], [16].

Trypanosoma congolense is a tsetse fly-transmitted intravascular protozoan parasite causing severe, acute or chronic disease (trypanosomosis) in mammals including cattle and other livestock and consequently affects development and economic growth in sub-Saharan Africa. In cattle, consistent features of trypanosomosis are anaemia and sporadic episodes of fever. Infected animals exhibit leukopenia, weight loss and enlargement of some organs (spleen and liver). Chronic infection is characterised by appetite loss, lethargy and emaciation and often death due to congestive heart failure[17]. In rats, infection with T. congolense initially causes an increase in medullary erythropoiesis and a reduction in the myeloid: erythroid cell ratio. Subsequently erythropoiesis declines, while granulopoiesis, megakaryopoiesis, plasma cell production and erythrophagocytosis increase [18].

It is hoped that understanding of trypanotolerance, as seen in some indigenous breeds of cattle, will advance disease control. Inbred strains of laboratory mice are used as a model system to study susceptibility to T. congolense infection: C57BL/6 mice are relatively tolerant but develop a severe anaemic response, whereas BALB/c and A/J strains, although regarded as susceptible (exhibit higher levels of parasitemia and early death), have relatively mild and transient anaemia [19]. Similarities between the anaemic responses of C57BL/6 mice and cattle to trypanosome infection have led to the use of this strain to identify pathways important for this feature of the disease [18], [19] and resulted in the hypothesis that reduced haematopoietic potential may be responsible for its relatively increased susceptibility to anaemia [20]. Importantly, the capacity to control anemia is thought to be the most significant factor contributing to trypanotolerance of cattle [21] and differences in erythropoietic potential have been suggested as contributing to susceptibility to the disease [22].

Here we report the characterization of a member of the Claudin family, Claudin 13 (Cldn13). Functionally, we have evidence from expression patterns and microarray data that Cldn13 may play a role in a stress erythropoietic response to T. congolense induced anaemia. Our data implicate Cldn13 and other previously unassociated genes in an erythropoietic pathway constitutively downregulated in mice prone to anaemia, thus providing potential new insights into the molecular regulation of erythropoiesis. It is probable that Cldn13 is a mouse specific gene that arose as a result of a local gene duplication event.


Claudin13 sequence structure and properties

Our search for novel genes on mouse chromosome 5G2, syntenic to the Williams-Beuren Syndrome (WBS) region on human chromosome 7q11.23 [23], led to the identification of Cldn13. Screening an in-house mouse embryo cDNA library with segments from a BAC clone (gi: AC079938) identified a new gene, Cldn13 (submitted to Genbank in 2002 gi: AF516681) with a PMP22_Claudin motif. Cldn13 spans a genomic region of 1277 bp and is located 29579 bp centromeric to Cldn4 (Fig. 1). The cDNA sequence is 1066 bp in length, and consists of two coding exons (825 bp and 241 bp; Table S1) encoding a protein of 211 amino acid residues with a predicted molecular weight of 23504 kDa and theoretical pI of 5.54 (Fig. 2). CLDN13 is predicted to contain four transmembrane domains, a conserved feature of the Claudin family (IPR004031, PF0082), and has two extracellular loops (residues 30–80 and 140–165). A conserved Claudin signature ([GN]-L-W-x(2)-C-x(7,9)-[STDENQH]-C, PDOC01045) is located between the first and second transmembrane regions (residues 48–63) (Fig. 2). Other predicted amino acid motifs are detailed in Table S2.

Figure 1
Comparison between transcript maps of mouse chromosome 5G2 containing Cldn13 and syntenic regions of rat chromosome 12 and human chromosome 7q11.23 (part of the WBS region).
Figure 2
Mus musculus Cldn13 sequence.

Cldn13 is a murinae specific gene

Cldn13 sequences were not identified in any additional species, including humans, suggesting that Cldn13 may be specific to Mus musculus and possibly other closely related rodents. In Rattus norvegicus, a 225 bp sequence with 78% sequence identity to the 3′ UTR of Cldn13 was identified on chromosome 12 (AC091616). The overlapping genomic clone (AC091752) contains the rat Cldn4 gene indicating that this is the region syntenic to the mouse chromosome 5 region containing Cldn3, Cldn4 and Cldn13. There does not appear to be a full-length rat Cldn13 ortholog since we failed to identify any sequences sharing significant identity to the first exon, suggesting that regardless of any earlier functional role, it has degenerated into a non-functional remnant in the modern rat (Fig. 1).

In addition, a predicted ‘Cldn4-like’ sequence was detected in rat (XP_001066865) which maps between Cldn4 and the degenerate Cldn13-like sequence on rat chromosome 12 and shares sequence similarity with a mouse ‘Cldn4-like’ genomic sequence between Cldns4 and 13 on mouse chromosome 5G2 (Accession number AC079938) (Fig. 1; Figs S1 and S2). There is no transcript evidence for these genomic sequences (mouse Cldn4-like and rat Cldn13-like) indicating that they are unlikely to be transcribed.

Cldn13 is expressed predominantly in tissues associated with haematopoiesis

Northern blot analysis with a Cldn13 specific probe identified a single mRNA transcript (>1 kb) in adult mouse thymus, femur and spleen; no bands were observed in brain, kidney, lung or liver (Fig. 3). RT-PCR analysis confirmed Cldn13 was present in adult mouse thymus, femur, spleen, ribs, skull, and muscle with barely detectable expression in brain and intestine. In newborns expression was detected in kidney, liver, lung, ribs, skull and spine (Table 1). During mouse development, Cldn13 is expressed in embryos at stages 10.5, 11.5, 13.5 and 15 dpc but not at 9.5 or 17 dpc (Table 1). A more limited analysis of the expression patterns of Cldn3 and Cldn4 (which lie close to Cldn13 on mouse chromosome 5) showed different profiles. Both were detected in adult spleen, bladder, intestine, lung, kidney and teeth, and in lung and skin of newborn mice. Cldn3 is also expressed in adult liver, muscle and ribs and newborn liver and ribs and Cldn4 in adult eyes and tongue (Table 1).

Figure 3
Expression of Cldn13 mRNA in adult mouse tissues.
Table 1
RT-PCR expression analysis of Claudins on mouse chromosome 5G.

The expression of Cldn13 in haematopoietic tissues is further emphasised by publicly available data (BioGPS portal from a global mouse gene expression analysis in 91 tissues including >20 haemopoietic cell lineages. Importantly, these data demonstrate exceptionally strong expression in mega-erythrocyte progenitor cells, bone marrow and bone [24].

Phylogenetic analysis

As Cldn13 appears to be mouse specific, we explored its phylogenetic relationship with other Claudin family members. Eighty-nine sequences were collected (Table S3) and a robust phylogenetic tree generated using neighbor joining, bootstrapping, maximum likelihood and parsimonious methodologies (Fig. 4). Many regions of the consensus tree topology are well supported by all these methods. There is strong support for the pairings of CLDN 6 and 9, and CLDN 11 and 12, as well as for the groupings of CLDN 1, 7 and 19, CLDN 8, 17 and 22, and CLDN 3 and 23. The Mus musculus CLDN4 and CLDN13 clade is only strongly supported by maximum likelihood, however all statistical methods applied consistently reproduced this grouping, albeit with a reduced level of support (data not shown).

Figure 4
Neighbour Joining phylogenetic tree representing the Claudin protein family.

From this data we suggest that mammalian members of the Claudin protein family are orthologous, sharing a common ancestor prior to the human/mouse split. This is also true for many fish Claudins. Danio rerio is interesting because it appears to have followed two different routes during Claudin family development and, in addition to the orthologs it shares with other chordates, it possesses a group of paralogous alphabetically named Claudins [25]. This fish specific expansion was generated through gene duplication and development within the Danio rerio genome [25]. As expected, the Ciona intestinalis sequences behaved as outliers.

Of the 32 known members of the Claudin gene family only CLDN 5, 7, 10–12 and 19 appear to have orthologs in each of H. sapiens, M. musculus, T. rubripes and D. rerio. CLDN 25–33 are specific to T. rubripes. With the exception of CLDN13, mice and humans share the same complement of Claudins (Table 2). A Takifugu rubripes Claudin gene has been named Cldn13 (AY554386) [25], however, this sequence fails to group with murine CLDN13 in our trees. It also displays minimal shared sequence similarity when compared to Mus musculus CLDN13 (Fig. S3) and reciprocal BLAST searches fail to identify a relationship between these sequences indicating that it is not a true ortholog.

Table 2
Species distribution of Claudins.

Claudin family expression in response to T. congolense infection in mice

As Cldn13 appears to be preferentially expressed in tissues associated with haematopoiesis/immunity (bone, spleen and thymus) we analysed microarray data derived from mice exposed to the pathogenic protozoan T. congolense to determine whether Cldn13 levels were affected. In spleen, Cldn13 is the most abundant of the twenty Claudins analysed. Log2 relative expression levels of Cldn13 averaged across all three strains prior to infection are 9.12 (absolute value 770), compared to 7.41 (absolute value 170) of Cldn5 (p = 0.0009), the second most abundant Claudin in spleen (Fig. 5A).

Figure 5
Expression of Claudin genes in mouse spleen in response to T. congolense infection.

To explore early changes initiated in response to infection, Cldn13 expression levels were recorded in spleens of A/J, BALB/c and C57BL/6 (anaemia prone) mice, across five time points (days 0, 3, 7, 9, and 17 post infection) (Fig. 5B). Prior to infection Cldn13 is 2.4–3.3 fold less abundant (p≤0.03) in C57BL/6 than in A/J and BALB/c (strains in which anaemia is transient). Cldn13 levels remain significantly lower (2.8 fold; p≤0.02) at days 3 and 7 in C57BL/6 compared to BALB/c. C57BL/6 Cldn13 expression is also reduced (1.4 and 3.0 fold at days 3 and 7, respectively) compared to AJ mice, however the difference only reaches significance at day 7 (p = 7.2×10−5). At later stages of infection (days 9 and 17), although expression in C57BL/6 still appears lower (1.2–1.9 fold), the strain differences do not reach significance (p≥0.08).

Of the other 19 Claudins, the largest strain specific differences observed were in Cldn5, which demonstrated 1.5–1.6 fold higher expression in AJ mice on day 7 (p = 0.04), and 1.5–1.6 fold higher expression in both AJ and BALB/c relative to C57BL/6 mice on day 9 (p = 0.01) (Fig. 5B). Levels of Cldn4, which is phylogenetically related to Cldn13, were similar between all strains with marginal but significant differences only noted between BALB/c and C57BL/6 prior to infection, and between AJ and C57BL/6 on day 17 (1.3 fold higher in C57BL/6; p≤0.02, at both time points) (Fig. 5C). Differences in expression of other Claudins were marginal (Figs S4 and S5). Notably, only Cldn13 demonstrated consistently reduced expression in the anaemia prone C57BL/6 mice relative to the other strains.

Cldn13 expression also varied significantly post-infection over time (Fig. 5B). In A/J mice, Cldn13 showed the largest, most significant changes in expression over the course of the experiment, with levels decreasing to 2.8 fold relative to those of uninfected mice at day 3 (p = 0.001) then increasing 3.6 fold between days 3 and 17 (p = 0.0009) to reach levels marginally higher (1.3 fold) than in uninfected mice at day 17. Expression in BALB/c and C57BL/6 mice reached a minimum (2.0 and 2.2 fold decreased respectively) at day 7 followed by recovery to pre-infection levels by day 17 in BALB/c and a substantial rise of Cldn13 to above pre-infection levels (2.2 fold at day 17 versus day 0) in C57BL/6. However, this final increase was not significant (p = 0.19) and levels remained lower than those in AJ and BALB/c strains.

Of the other Claudins assayed, Cldn5 also demonstrated significant changes in transcription levels over the course of infection in all three strains with initial decreases of between 1.6 and 2.7 fold (between days 0 and 7; p≤0.009). However, in contrast to Cldn13, Cldn5 expression remained low (1.4 to 2.1 fold decreased at day 17 compared to day 0, p≤0.03) throughout the experiment (Fig. 5C). Changes in levels of the other Claudins did not follow a discernable pattern and were either minimal (≤1.5 fold change) or insignificant (p≥0.05) (Figs S4 and S5).

To summarise, in contrast to the expression of other Claudins, levels of Cldn13 are lower in anaemia prone C57BL/6 mice compared to other strains prior to, and throughout infection. During the early stages of infection, expression of Cldn13 decreases in all three strains, followed by subsequent increases to at or above levels seen in uninfected mice. These data suggest that Cldn13 may be the major Claudin in mouse spleen and is likely to have functional significance in this tissue.

Genes clustering with Cldn13 in T. congolense infected mice share a common theme of erythropoiesis

To ascertain potential pathways in which Cldn13 may participate, ten genes displaying expression patterns most similar to Cldn13 (distance metric; computed using Pearson correlation [26]) were identified. Of these, nine were notable for their shared links to erythropoiesis (Table 3; Fig S6); three are key regulators of erythropoiesis (Tal1, Trim10, E2f2) [27], [28], [29], [30] and two are erythrocyte specific membrane proteins (Gypa, Rhd) [31], [32], [33]. Tmcc2 is the homologue of human TMMCC2 which has recently been strongly associated with mean corpuscular volume (MCV, red blood cell volume), a measure of anaemia, in a genome wide association study [34]. Cdca8, Cenpk and Cdkn2d have more indirect associations with erythropoietic pathways. Cdca8 (Borealin) and CenpK (centromere protein K; Solt1 - Sox6 leucine zipper binding protein) are thought to be involved in mitotic chromosome segregation. Cdca8 encodes a member of the centromeric chromosomal passenger complex (CPC) required for correct alignment and segregation of chromosomes [35]. The CPC consists of four proteins; CDCA8, BIRC5 (Survivin), INCENP and AURKB (Aurora kinase B). BIRC5 has recently been shown to be essential for proper haematopoietic development of erythro-myeloid precursors, being particularly crucial in erythroid differentiation [36]. In other systems, BIRC5 regulation of clonal expansion has been demonstrated to be downstream of PI3K and Akt signaling [37] and CDCA8 and BIRC5 undergo co-coordinated transcriptional repression in response to inactivation of CDK4 [38].

Table 3
Genes with expression profiles clustering most closely with Cldn13 across two separate microarray datasets.

CenpK has been proposed as the homolog of the Schizosaccharomyces pombe protein Sim4 and, in common with the CPC, is thought to localize to centromeric kinetochores and be involved in chromosome segregation [39]. CENPK was originally identified as physically associated with the transcription factor SOX6 [40] which has a critical role in erythropoiesis [41], [42]. Cdkn2d (cyclin-dependent kinase inhibitor 2D; p19Ink4d) is a member of the Ink4, ‘Inhibitor of cyclin dependant kinase (CDK) 4’ family of repressors which prevent inappropriate progression into the cell cycle [43]. There is evidence that CDKN2D contributes to differentiation of a model system of transformed erythroid precursors, murine erythroleukaemia (MEL) cells, by inhibition of CDK6 [44].

All nine genes act in pathways known to be downstream of either EPO, BMP4 or KITL, suggesting that a possible role in the stress response to anaemia induced by T. congolense infection. The remaining clustered gene is Cdr2 (cerebellar degeneration-related 2 or Yo), a protein which has recently been shown to be important for mitotic spindle formation and proliferation of dividing cells [45] providing a putative link with CenpK and Cdca8.

To provide external validation for this cluster analysis, genes with similar expression patterns to Cldn13 were identified in a separate publicly available array experiment [46]. The ten genes most closely correlated (co-efficient >0.98), included three red blood cell associated genes (Trim10, Gypa and Rhd), also identified in our T. congolense arrays, and a further six with known associations to either erythrocyte-specific processes (Tspo2, Rhag, Icam4, Kel, Add2) or myeloid progenitor cell proliferation (Hemgn) (see Table 3. and references therein). The remaining clustered transcript (Accession No: AK020489) has no known function and little homology to known genes.

Differences in Haemoglobin levels between mouse strains are consistent with a reduced erythropoietic response to infection in C57BL/6

Levels of haemoglobin were assayed in blood samples from mice before and during infection with T. congolense. Relative concentrations of haemoglobin during the course of infection fell steeply in all three mouse strains in the initial stages of trypanosome infection. However, after day 9 and day 17 respectively, haemoglobin concentrations began to recover in BALB/c and A/J strains, whereas in C57BL/6 mice they continued to decline throughout the experiment (Fig. 6). Haemoglobin titres were lower in C57BL/6 from day 7 post infection and thereafter. The difference was significant on days 13 and 20–35 (p<0.001) (Fig. 6). AJ mice demonstrate haemoglobin levels intermediate to those observed in Balb/c and C57BL/6 and had significantly lower titres than Balb/c at the final two timepoints.

Figure 6
Haemoglobin levels in mouse strains during T. congolense infection.

These results, alongside the reduced transcription of Cldn13 and clustered erythropoietic gene, are all consistent with a reduced stress erythropoietic response in C57BL/6 in comparison with the other inbred strains. Levels of Cldn13 and clustered genes associated with erythropoiesis also demonstrate a parallel decrease alongside haemoglobin levels in the initial stages of infection in all strains and begin to recover, suggesting nascent splenic erythropoiesis, prior to the recovery of haemoglobin levels in AJ and BALB/c. The failure of haemoglobin levels to recover in C57BL/6 and the subsequent chronic anaemia observed [20] may be reflected in the inflated expression of erythropoietic genes at later stages of infection as the organism attempts, unsuccessfully, to restore sufficient RBC capacity.


Phylogenetic profiling is useful for inferring functional and evolutionary relationships and previous work has positioned Cldn13 in a clade with Cldn2, 14 and 20 [25], paired it with Cldn23 (ORF5, BAB26222) [47], or failed to place it at all due to its inconsistent positioning within the tree [48]. In contrast, our phylogenetic data, generated from the consensus of four methods, highlights a relationship between Mus musculus Cldn13 and Cldn4/CLDN4. Cldn4 has been implicated in a variety of processes as diverse as osmotic response in the kidney [49] and blastocyst formation [50] and CLDN4 has been shown to be both up and downregulated in various malignancies (reviewed in [51]). Mouse Cldn4 is downregulated in EMT in response to SNAI1 [10] and expression of CLDN4 decreases the potential of pancreatic cancer cells to metastasize downstream of both MEK and PI3K [52]. Claudins evolutionarily associated with human CLDN3 and 4 on chromosome 7 appear to have undergone duplication. The presence of a predicted ‘Cldn4-like’ sequence in rat (between Cldn4 and the degenerative Cldn13-like sequence on rat chromosome 12) but with no transcript evidence, suggests a gene duplication prior to mouse/rat speciation events.

In support of our hypothesis that Cldn13 is involved in erythropoiesis, a recent report identified it as one of a number of genes whose expression is significantly higher in erythroid cells [53]. Further evidence comes from microarray analysis of a D. rerio mutant model of haematopoiesis, cloche, which identified Cldng (topologically groups with M. musculus CLDN13/CLDN4 in our analysis) as differentially expressed between mutant and wild type zebrafish and predominantly found in erythroid cell lineages [54].

Haemopoietic cells are not generally thought to connect via intercellular junctions such as tight junctions although in a rare form of human acquired dyserythropoiesis, erythroblastic synartesis, septate-like membrane junctions (invertebrate septate junctions are thought to be analogous to TJs) and invaginations between erythroblasts which are tightly linked together have been observed [55]. This abnormality is responsible for ineffective erythropoiesis in patients leading to severe anaemia with reticulocytopenia. Cell-cell contacts do, however, occur within erythroblastic islands (erythrocyte-erythrocyte and erythrocyte-macrophage) and are important for successful erythropoiesis [56]. Erythrocyte-macrophage protein (EMP), intercellular adhesion molecule-4 (ICAM4, highlighted by our cluster analysis) and integrins α4β1 and αv participate in these interactions and it is possible that CLDN13 may also contribute in some way.

The erythrocyte specific membrane proteins GYPA and RHD, also encoded by genes clustering with Cldn13, form part of a macromolecular erythrocyte membrane structure incorporating the Band-3 complex [57]. Given the known association of TJ complex components (albeit in non-erythroid cells) with the erythrocyte cytoskeletal component protein EPB4.1 (4.1R) [4], a protein involved in erythropoietic mitosis through interaction with the Band-3 complex [58], [59], it is possible that CLDN13 and other TJ components also function in this system.

The role of EPB4.1 in the regulation of mitotic chromosome segregation in erythroid cells [60] also suggests a link between this protein and Cdca8, Cenpk and Cdr2 clustered with Cldn13 in our microarray data. The clustered gene Trim10 is an important regulator of erythropoiesis downstream of the key transcriptional regulator of haematopoiesis RUNX1 (AML1, core binding factorβ) [28] and determines production of an alternatively spliced isoform of EPB4.1 which is indicative of erythrocytic maturation [61]. Recent work suggests integration of the RUNX1/TAL1 haematopoietic pathways via the Smad family of transcriptional regulators downstream of BMP4 [62] which, in conjunction with KITL, is a pivotal mediator of hypoxia-induced stress erythropoiesis in mouse spleen [14], [63]. Another of the genes clustered with Cldn13, E2f2, has been shown to form a complex with RB1, a key player in the regulation of the G1-to-S-phase transition of the cell cycle [64] and GATA1, encouraging terminal erythroid differentiation by shutting down cell proliferation [29]. Although several of the clustered genes are established erythrocyte-associated genes (Tal1, Trim10, E2f2, Gypa, Rhd) the involvement of others (Cdkn2d, Cdca8, Cenpk, Cdr2, Cldn13) has not been proven. However, our data, along with evidence of association between Cdkn2d, Cdca8 and Cenpk with factors essential in erythrocyte maturation strongly suggest a role for these genes in this process. Figure 7 provides a hypothetical view of how the genes identified through cluster analysis with Cldn13 in T. congolense infected mice, may interact in developing erythroid cells.

Figure 7
Predicted model of co-regulated gene behaviour in response to T. congolense mediated anaemic stress.

One of the final steps in red blood cell maturation is enucleation. Chromatin becomes condensed and the nucleus migrates to one pole of the erythroblast before separating surrounded by plasma membrane and a small rim of cytoplasm [65], [66]. Thus the process could be regarded as an asymmetric form of mitosis. Many membrane proteins, including GYPA are preferentially located in the membrane of the mature reticulocyte rather than the extruded nucleus [67]. Given the role of Claudins in defining domains within the plasma membrane as part of TJs, and the involvement of the proteins we have identified as co-regulated during stress erythropoiesis in cell cycle checkpoint regulation and/or mitotic chromosome segregation, we suggest a potential new role for Claudins in correct cell polarisation and protein partitioning prior to erythroblast enucleation. However, further functional work is required to test this hypothesis.

The pattern of Cldn13 regulation observed over the course of T. congolense infection is consistent with a stress induced erythropoietic response to parasite induced anaemia. We speculate that the downregulation of CLDN13 at the early stages of the stress erythropoietic response may influence the transition to a proliferating phenotype among splenic RBC pre-cursors. It is possible that this is mediated through reduced contacts with supportive stromal cells undergoing EMT as observed in fetal liver [68]. The recovery of Cldn13 levels in later stages of infection may indicate populations of erythrocytic cells undergoing terminal differentiation, including enucleation, preceding the recovery from anaemia observed in strains A/J and BALB/c. The fact that expression of Cldn13 and clustered genes are constitutively lower in C57BL/6 mice than in A/J or BALB/c mice is consistent with them representing a snapshot of an erythropoietic pathway permanently depressed in this anaemia prone strain. Further, levels of expression of these genes in C57BL/6 mice fail to reach those seen in A/J or BALB/c mice, consistent with the previous suggestion of a suppressed stress erythropoietic response contributing to the chronic anaemia observed in this strain [20].

Given the expression pattern of Cldn13 in most haemopoietically active tissues (thymus, bone marrow and fetal liver) we do not exclude the possibility that it may also function in the generation of other blood cell lineages. Indeed, Claudin positive cells have been observed at the margins of distinct structures within the medulla of the thymus known as Hassall's corpuscles (HCs)[69] which are thought to function in production of immunosuppressive regulatory T cells. It remains unclear whether thymic Cldn expressing cells have functional TJs, although these structures were not detected between Cldn expressing cells in mouse [70].

In agreement with our RT-PCR expression data, expression of Cldn13 has previously been reported in mouse intestine [71], [72] and in neonatal but not adult kidney [73]. There has also been a report of Cldn13 expression in mouse bladder [74], however, we did not find evidence for this in our experiments, which may be due to differences in assay sensitivity as publicly available micro-array data [24] demonstrate minimal expression in this organ. It is also interesting to note decreased expression of Cldn5 during T. congolense infection in all three inbred strains. Rat CLDN5 has been observed as part of atypical TJs within the splenic sinus endothelium, a structure associated with removal of senescent RBCs [75]. Given the almost complete identity of the protein sequence of mouse CLDN5 with that of rat (only two amino acids of 218 differ) we speculate that mouse CLDN5 may also function in these structures. Reduction in levels of Cldn5 transcript in the spleens of all three inbred strains may be demonstrative of disrupted splenic architecture in the face of the massive haemophagocytosis in this organ in response to infection and/or the transformation of the spleen to erythropoietic function.

In conclusion, our data provides evidence of a role for Cldn13, and three other genes with no previous link to erythropoietic function (Cdca8, Cenpk and Cdr2), in a known stress response pathway with specific relevance in resistance to trypanosome infection and potential importance in many other contexts including acute anaemia and erythroleukaemia. Protein sequence analyses indicate that Cldn13 is a member of the Claudin family and as such may well contribute to TJ formation. However, Cldn 13 is an unusual gene; its distribution is apparently limited to the murinae, and belongs to a clade encompassing recently duplicating genes evolutionarily linked to human CLDN3 and CLDN4. The most parsimonious explanation for the absence of CLDN13 in humans, and all other species surveyed, is a gene duplication event specific to the murinae which lead to the evolution of a functional Cldn13 gene in Mus musculus, but appears to have been lost in Rattus norvegicus leaving only the degenerate sequence we identified. Since Cldn13 appears to be mouse specific, we speculate that other members of the Claudin family (possibly CLDN4) may be involved in erythropoiesis in other mammals and, given the widespread use of animal models to predict biological functions in humans, it will be important to clarify if this is the case.


Ethics Statement

Animals were housed at the International Livestock Research Institute (ILRI), Nairobi, Kenya. Mice used were 5–8 weeks of age. Animals received food and water ad libitum. All experimental procedures were approved by the Institutional Animal Care and Use Committee (IACUC, Licence No. 2004.7) at ILRI.

RNA isolation

RNA was isolated from mouse tissues for northern blots and RT-PCR by extraction with total RNA isolation reagent (ABgene) according to manufacturer's instructions. mRNA was purified from total RNA using the Nucleotrap kit (ABgene) according to manufacturer's instructions. For microarray analysis, RNA was prepared from mouse liver and spleen using Trizol Reagent (Invitrogen) as described previously [76].


cDNA was prepared from 2 µg total RNA (pre-treated with DNaseI) using the ReverseIT 1st strand synthesis kit (ABgene). PCR was carried out using the ReddyMix PCR system (ABgene) according to manufacturer's instructions. PCR primers are detailed in Table S4.

Mouse Tissue Northern Blots

mRNA from each tissue (1 µg) was added to 4 µl RNA loading buffer without ethidium bromide (Sigma) and heated to 65°C for 10 min before loading on a 1% MOPS Formaldehyde gel (electrophoresis for ~3 h at 5–6 mA/cm). 3 µl RNA markers (Sigma), in 2 µl ethidium bromide (75 µg/ml), were used on each gel. Gels were blotted overnight in 20× SSPE. Hybridization was in ‘Rapid-Hyb’ (Clontech) using P32 labelled PCR probes (Random Primers Labelling System GibcoBRL). The filters were washed at 60°C (0.2XSSC+0.1%SDS) and exposed to X-ray film at −70°C. Cldn13 probe was generated by PCR amplification of a 588 bp fragment from mouse genomic DNA (Table S4); this region is outside the Claudin domain to avoid cross-hybridisation with other Claudin genes.

Sequence collection and Phylogenetic analysis

A total of 121 Homo sapiens, Mus musculus, Danio rerio and Takifugu rubripes full length Claudin sequences were retrieved from GenBank ( This sequence set was supplemented with Ciona intestinalis sequence (obtained by searching with sequence ci134049, ( To simplify the phylogenetic analysis, a single representation of each entity was used and only the longest isoforms selected. This yielded a dataset totalling 89 sequences (Table S3). Claudin amino acid sequences were aligned using ClustalX [77] ( Gap-containing sites were removed from the alignment and Maximum Likelihood trees were inferred using ProML from the PHYLIP package ( [78]. The JTT model of amino acid substitutions was used with global rearrangement and correction for rate heterogeneity (α obtained from TREE-PUZZLE ( [79]. Neighbour joining bootstrap replicates and Bayesian inference methods were used to test tree topology using PHYLIP (Neighbour, ProtDist, SeqBoot) and Mr Bayes ( [80] respectively. PHYLIP was also used to determine the parsimonious topology (seqBoot, protparse, consense).

Mouse model of African trypanosomiasis

T. congolense infection of mice is an established and valuable model of anaemia and is appropriate to use for investigating the association between gene expression and anaemia [17], [20]. Clone IL 1180 [81] was grown in sub-lethally irradiated Sprague–Dawley rats, and trypanosomes were isolated from infected rat blood by anion exchange column [82]. Mice were infected by intraperitoneal injection (1×104 parasites in 200 µl of phosphate-buffered saline (pH 8.0) containing 1.5% glucose).

Microarray hybridization and cluster analysis

Affymetrix Mouse 430 2.0 microarrays ( were used to determine expression of genes in each of A/J, BALB/c and C57BL/6 mice. For each strain RNA was prepared from spleens of thirty mice. The samples were then mixed into five pools of five samples for each strain. This pooling strategy is predicted to give the same power to detect differential expression as fifteen individual samples hybridised separately [83]. Chips were initially assessed using DChip criteria to screen for outlier and normalised by RMA. The data are available through ArrayExpress (Accession No; E-MEXP-1190). P values for differences in gene expression (by time or strain) were calculated using the Student's T-test. Genes with expression patterns most closely matching those of Cldn13 during infection were identified using a distance metric (Maxd software suite [26]).

Haemoglobin Measurement

Samples of 2 µl of blood were collected from the tail and diluted in 150 µl of distilled water in 96 well plates. After 30 minutes at room temperature, the plate was centrifuged (600 x g, 10 min), 100 µl of supernatant transferred to a new plate and the relative haemoglobin concentrations measured by spectrophotometrical determination of optical density at 540 nm in an ELISA plate reader (Multiscan MCC/340, Titertek Instruments, Huntsville, AL, USA). Measurements were carried out in triplicate. The data were analysed by ANOVA (analysis of variance) using strain, time and their interaction. Subsequently mice were euthanised to allow tissue collection for microarrays, therefore observed changes in haemoglobin levels were not due to repeated sampling. All mice were euthanised after day 35 of the experiment.

Supporting Information

Figure S1

ClustalW alignment of rat predicted CLDN4-like protein sequence with rat CLDN4, mouse CLDN4 and 13, and human CLDN4. Rat sequence XP_001066865 is unlikely to be an ortholog of mouse Claudin 13 as it shares more sequence similarity with mouse, rat and human Claudin 4.

(0.71 MB TIF)

Figure S2

tBLASTx alignments using Rat Cldn4-like protein sequence as the query. A genomic sequence with a high degree of similarity to rat ‘Cldn4-like’ is located on mouse chromosome 5 between Wbscr27 and Cldn13.

(0.28 MB TIF)

Figure S3

Putative Fugu Claudin 13. A. ClustalX alignments highlighting the relatively weak alignment of between mouse Claudin 13 (AY554386) and Fugu Claudin 13 (AF516681). B. Contrasting strong alignments between mouse Claudin 3 (NP_034032) and Fugu Claudin 3 (AAT64047). Combined with phylogenetic evidence this indicates that the suggested Fugu Claudin 13 is unlikely to be the true ortholog of mouse Claudin 13.

(0.53 MB TIF)

Figure S4

Data is expressed as mean Log2 intensity (± standard error. Expression profiles of Claudins 1–3 and 6–11 in microarray analysis over the course of T. congolense infection in three different strains (A/J - open circles, solid line; BALB/c - closed squares, dotted line; C57BL/6 - crosses, dashed line).

(0.34 MB TIF)

Figure S5

Data is expressed as mean Log2 intensity (± standard error. Expression profiles of Claudins 12, 14–16, 18, 19, 22 and 23 in microarray analysis over the course of T. congolense infection in three different strains (A/J - open circles, solid line; BALB/c - closed squares, dotted line; C57BL/6 - crosses, dashed line).

(0.22 MB TIF)

Figure S6

Data is expressed as mean Log2 intensity (±) standard error. A–I: Expression profiles of nine of the ten genes with expression patterns correlating most closely to those of Cldn13 in microarray analysis of T. congolense infection in three different strains (A/J - open circles, solid line; BALB/c - closed squares, dotted line; C57BL/6 - crosses, dashed line). All of these are either known to function in erythropoiesis or have more indirect associations with erythropoietic pathways.

(0.43 MB TIF)

Table S1

(0.03 MB DOC)

Table S2

(0.03 MB DOC)

Table S3

(0.12 MB DOC)

Table S4

(0.03 MB DOC)


Helen Hulme, David Robertson, Julie Huxley-Jones, Morris Agaba and Irene Smeaton for technical assistance and data interpretation.


Competing Interests: The authors have declared that no competing interests exist.

Funding: This research was supported by the Wellcome Trust (grant nos. GR1061183, WT066764MF, GR066764MA). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


1. Morita K, Furuse M, Fujimoto K, Tsukita S. Claudin multigene family encoding four-transmembrane domain protein components of tight junction strands. PNAS. 1999;96:511–516. [PubMed]
2. Van Itallie CM, Anderson JM. The Role of Claudins in Determining Paracellular Charge Selectivity. Proc Am Thorac Soc. 2004;1:38–41. [PubMed]
3. Matter K, Aijaz S, Tsapara A, Balda MS. Mammalian tight junctions in the regulation of epithelial differentiation and proliferation. Current Opinion in Cell Biology. 2005;17:453–458. [PubMed]
4. Mattagajasingh SN, Huang S-C, Hartenstein JS, Benz EJ., Jr Characterization of the Interaction between Protein 4.1R and ZO-2. A possible link between the tight junction and the actin cytoskeleton. J Biol Chem. 2000;275:30573–30585. [PubMed]
5. Oliveira S, Morgado-Díaz J. Claudins: multifunctional players in epithelial tight junctions and their role in cancer. Cellular and Molecular Life Sciences (CMLS) 2007;64:17–28. [PubMed]
6. Gonzalez-Mariscal L, Betanzos A, Nava P, Jaramillo BE. Tight junction proteins. Progress in Biophysics and Molecular Biology. 2003;81:1–44. [PubMed]
7. Mancini A, Koch A, Stefan M, Niemann H, Tamura T. The direct association of the multiple PDZ domain containing proteins (MUPP-1) with the human c-Kit C-terminus is regulated by tyrosine kinase activity. FEBS Letters. 2000;482:54–58. [PubMed]
8. Martinez-Estrada OM, Culleres A, Soriano FX, Peinado H, Bolos V, et al. The transcription factors Slug and Snail act as repressors of Claudin-1 expression in epithelial cells. Biochem J. 2006;394:449–457. [PubMed]
9. Medici D, Hay ED, Goodenough DA. Cooperation between Snail and LEF-1 transcription factors is essential for TGF-beta1-induced epithelial-mesenchymal transition. Mol Biol Cell. 2006;17:1871–1879. [PMC free article] [PubMed]
10. Ikenouchi J, Matsuda M, Furuse M, Tsukita S. Regulation of tight junctions during the epithelium-mesenchyme transition: direct repression of the gene expression of claudins/occludin by Snail. J Cell Sci. 2003;116:1959–1967. [PubMed]
11. D'Souza T, Indig FE, Morin PJ. Phosphorylation of claudin-4 by PKC[epsilon] regulates tight junction barrier function in ovarian cancer cells. Experimental Cell Research. 2007;313:3364–3375. [PMC free article] [PubMed]
12. Brodsky I, Dennis LH, Kahn SB, Brady LW. Normal mouse erythropoiesis. I. The role of the spleen in mouse erythropoiesis. Cancer Res. 1966;26:198–201. [PubMed]
13. Semenza GL, Wang GL. A nuclear factor induced by hypoxia via de novo protein synthesis binds to the human erythropoietin gene enhancer at a site required for transcriptional activation. Mol Cell Biol. 1992;12:5447–5454. [PMC free article] [PubMed]
14. Perry JM, Harandi OF, Paulson RF. BMP4, SCF, and hypoxia cooperatively regulate the expansion of murine stress erythroid progenitors. Blood. 2007;109:4494–4502. [PubMed]
15. von Lindern M, Deiner EM, Dolznig H, Parren-Van Amelsvoort M, Hayman MJ, et al. Leukemic transformation of normal murine erythroid progenitors: v- and c-ErbB act through signaling pathways activated by the EpoR and c-Kit in stress erythropoiesis. Oncogene. 2001;20:3651–3664. [PubMed]
16. Umehara D, Watanabe S, Ochi H, Anai Y, Ahmed N, et al. Role of Phosphatidylinositol 3-Kinase in Friend Spleen Focus-Forming Virus-Induced Erythroid Disease. J Virol. 84:7675–7682. [PMC free article] [PubMed]
17. Naessens J. Bovine trypanotolerance: A natural ability to prevent severe anaemia and haemophagocytic syndrome? International Journal for Parasitology. 2006;36:521–528. [PubMed]
18. Ojok L, Kaeufer-Weiss I, Weiss E. Bone Marrow Response to Acute and Chronic Trypanosoma congolense Infection in Multimammate Rats (Mastomys coucha). Journal of Comparative Pathology. 2001;124:149–158. [PubMed]
19. Nakamura Y, Naessens J, Takata M, Taniguchi T, Sekikawa K, et al. Susceptibility of heat shock protein 70.1-deficient C57BL/6 J, wild-type C57BL/6 J and A/J mice to Trypanosoma congolense infection. Parasitol Res. 2003;90:171–174. [PubMed]
20. Noyes HA, Alimohammadian MH, Agaba M, Brass A, Fuchs H, et al. Mechanisms controlling anaemia in Trypanosoma congolense infected mice. PLoS One. 2009;4:e5170. [PMC free article] [PubMed]
21. Naessens J, Kitani H, Nakamura Y, Yagi Y, Sekikawa K, et al. TNF-a mediates the development of anaemia in a murine Trypanosoma brucei rhodesiense infection, but not the anaemia associated with a murine Trypanosoma congolense infection. Clinical & Experimental Immunology. 2005;139:405–410. [PubMed]
22. Andrianarivo AG, Muiya P, Opollo M, Loganhenfrey LL. Trypanosoma congolense: Comparative Effects of a Primary Infection on Bone Marrow Progenitor Cells from N'Dama and Boran Cattle. Experimental Parasitology. 1995;80:407–418. [PubMed]
23. Valero MC, de Luis O, Cruces J, Perez Jurado LA. Fine-scale comparative mapping of the human 7q11.23 region and the orthologous region on mouse chromosome 5G: The low-copy repeats that flank the Williams-Beuren Syndrome deletion arose at breakpoint sites of an evolutionary inversion(s). Genomics. 2000;69:1–13. [PubMed]
24. Su AI, Wiltshire T, Batalov S, Lapp H, Ching KA, et al. A gene atlas of the mouse and human protein-encoding transcriptomes. Proc Natl Acad Sci U S A. 2004;101:6062–6067. [PubMed]
25. Loh YH, Christoffels A, Brenner S, Hunziker W, Venkatesh B. Extensive Expansion of the Claudin Gene Family in the Teleost Fish, Fugu rubripes. Genome Res. 2004;14:1248–1257. [PubMed]
26. Hancock D, Wilson M, Velarde G, Morrison N, Hayes A, et al. maxdLoad2 and maxdBrowse: standards-compliant tools for microarray experimental annotation, data management and dissemination. BMC Bioinformatics. 2005;6:264. [PMC free article] [PubMed]
27. de la Grange PB, Armstrong F, Duval V, Rouyez M-C, Goardon N, et al. Low SCL/TAL1 expression reveals its major role in adult hematopoietic myeloid progenitors and stem cells. Blood. 2006;108:2998–3004. [PubMed]
28. Harada H, Harada Y, O'Brien DP, Rice DS, Naeve CW, et al. HERF1, a Novel Hematopoiesis-Specific RING Finger Protein, Is Required for Terminal Differentiation of Erythroid Cells. Mol Cell Biol. 1999;19:3808–3815. [PMC free article] [PubMed]
29. Kadri Z, Shimizu R, Ohneda O, Maouche-Chretien L, Gisselbrecht S, et al. Direct binding of pRb/E2F-2 to GATA-1 regulates maturation and terminal cell division during erythropoiesis. PLoS Biol. 2009;7:e1000123. [PMC free article] [PubMed]
30. Hall MA, Curtis DJ, Metcalf D, Elefanty AG, Sourris K, et al. The critical regulator of embryonic hematopoiesis, SCL, is vital in the adult for megakaryopoiesis, erythropoiesis, and lineage choice in CFU-S12. PNAS. 2003;100:992–997. [PubMed]
31. Lahlil R, Lecuyer E, Herblot S, Hoang T. SCL Assembles a Multifactorial Complex That Determines Glycophorin A Expression. Mol Cell Biol. 2004;24:1439–1452. [PMC free article] [PubMed]
32. Kumada M, Iwamoto S, Kamesaki T, Okuda H, Kajii E. Entire sequence of a mouse chromosomal segment containing the gene Rhced and a comparative analysis of the homologous human sequence. Gene. 2002;299:165–172. [PubMed]
33. Bruce LJ, Beckmann R, Ribeiro ML, Peters LL, Chasis JA, et al. A band 3-based macrocomplex of integral and peripheral proteins in the RBC membrane. Blood. 2003;101:4180–4188. [PubMed]
34. Soranzo N, Spector TD, Mangino M, Kuhnel B, Rendon A, et al. A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium. Nat Genet. 2009;41:1182–1190. [PMC free article] [PubMed]
35. Klein UR, Nigg EA, Gruneberg U. Centromere Targeting of the Chromosomal Passenger Complex Requires a Ternary Subcomplex of Borealin, Survivin, and the N-Terminal Domain of INCENP. Mol Biol Cell. 2006;17:2547–2558. [PMC free article] [PubMed]
36. Leung CG, Xu Y, Mularski B, Liu H, Gurbuxani S, et al. Requirements for survivin in terminal differentiation of erythroid cells and maintenance of hematopoietic stem and progenitor cells. J Exp Med. 2007;204:1603–1611. [PMC free article] [PubMed]
37. Song J, So T, Cheng M, Tang X, Croft M. Sustained Survivin Expression from OX40 Costimulatory Signals Drives T Cell Clonal Expansion. Immunity. 2005;22:621–631. [PubMed]
38. Burgess A, Wigan M, Giles N, DePinto W, Gillespie P, et al. Inhibition of S/G2 Phase CDK4 Reduces Mitotic Fidelity. J Biol Chem. 2006;281:9987–9995. [PubMed]
39. Meraldi P, McAinsh A, Rheinbay E, Sorger P. Phylogenetic and structural analysis of centromeric DNA and kinetochore proteins. Genome Biology. 2006;7:R23. [PMC free article] [PubMed]
40. Yamashita A, Ito M, Takamatsu N, Shiba T. Characterization of Solt, a novel SoxLZ/Sox6 binding protein expressed in adult mouse testis. FEBS Letters. 2000;481:147–151. [PubMed]
41. Dumitriu B, Patrick MR, Petschek JP, Cherukuri S, Klingmuller U, et al. Sox6 cell-autonomously stimulates erythroid cell survival, proliferation, and terminal maturation and is thereby an important enhancer of definitive erythropoiesis during mouse development. Blood. 2006;108:1198–1207. [PubMed]
42. Yi Z, Cohen-Barak O, Hagiwara N, Kingsley PD, Fuchs DA, et al. Sox6 Directly Silences Epsilon Globin Expression in Definitive Erythropoiesis. PLoS Genetics. 2006;2:e14. [PubMed]
43. Matsuoka M, Tani K, Asano S. Interferon-alpha-induced G1 phase arrest through up-regulated expression of CDK inhibitors, p19Ink4D and p21Cip1 in mouse macrophages. Oncogene. 1998;16:2075–2086. [PubMed]
44. Matushansky I, Radparvar F, Skoultchi AI. Reprogramming leukemic cells to terminal differentiation by inhibiting specific cyclin-dependent kinases in G1. PNAS. 2000;97:14317–14322. [PubMed]
45. O'Donovan KJ, Diedler J, Couture GC, Fak JJ, Darnell RB. The onconeural antigen cdr2 is a novel APC/C target that acts in mitosis to regulate c-myc target genes in mammalian tumor cells. PLoS One. 5:e10045. [PMC free article] [PubMed]
46. Lattin J, Schroder K, Su A, Walker J, Zhang J, et al. Expression analysis of G Protein-Coupled Receptors in mouse macrophages. Immunome Research. 2008;4:5. [PMC free article] [PubMed]
47. Hua VB, Chang AB, Tchieu JH, Kumar NM, Nielsen PA, et al. Sequence and Phylogenetic Analyses of 4 TMS Junctional Proteins of Animals: Connexins, Innexins, Claudins and Occludins. Journal of Membrane Biology. 2003;V194:59–76. [PubMed]
48. Kollmar R, Nakamura SK, Kappler JA, Hudspeth AJ. Expression and phylogeny of claudins in vertebrate primordia. PNAS. 2001;98:10196–10201. [PubMed]
49. Lanaspa MA, Andres-Hernando A, Rivard CJ, Dai Y, Berl T. Hypertonic stress increases claudin-4 expression and tight junction integrity in association with MUPP1 in IMCD3 cells. Proceedings of the National Academy of Sciences. 2008;105:15797–15802. [PubMed]
50. Moriwaki K, Tsukita S, Furuse M. Tight junctions containing claudin 4 and 6 are essential for blastocyst formation in preimplantation mouse embryos. Developmental Biology. 2007;312:509–522. [PubMed]
51. Tsukita S, Yamazaki Y, Katsuno T. Tamura A Tight junction-based epithelial microenvironment and cell proliferation. Oncogene. 27:6930–6938. [PubMed]
52. Michl P, Barth C, Buchholz M, Lerch MM, Rolke M, et al. Claudin-4 Expression Decreases Invasiveness and Metastatic Potential of Pancreatic Cancer. Cancer Res. 2003;63:6265–6271. [PubMed]
53. Latasha C. Redmond CIDKJAJLHJAL. Identification of erythroid-enriched gene expression in the mouse embryonic yolk sac using microdissected cells. Developmental Dynamics. 2008;237:436–446. [PubMed]
54. Qian F, Zhen F, Ong C, Jin SW, Meng Soo H, et al. Microarray analysis of zebrafish cloche mutant using amplified cDNA and identification of potential downstream target genes. Dev Dyn. 2005;233:1163–1172. [PubMed]
55. Cramer EM, Garcia I, Masse J-M, Zini J-M, Lambin P, et al. Erythroblastic Synartesis: An Auto-immune Dyserythropoiesis. Blood. 1999;94:3683–3693. [PubMed]
56. Chasis JA. Erythroblastic islands: specialized microenvironmental niches for erythropoiesis. Curr Opin Hematol. 2006;13:137–141. [PubMed]
57. Bruce LJ, Beckmann R, Ribeiro ML, Peters LL, Chasis JA, et al. A band 3-based macrocomplex of integral and peripheral proteins in the RBC membrane. Blood. 2003;101:4180–4188. [PubMed]
58. Paw BH, Davidson AJ, Zhou Y, Li R, Pratt SJ, et al. Cell-specific mitotic defect and dyserythropoiesis associated with erythroid band 3 deficiency. Nat Genet. 2003;34:59–64. [PubMed]
59. Pasternack GR, Anderson RA, Leto TL, Marchesi VT. Interactions between protein 4.1 and band 3. An alternative binding site for an element of the membrane skeleton. J Biol Chem. 1985;260:3676–3683. [PubMed]
60. Delhommeau F, Vasseur-Godbillon C, Leclerc P, Schischmanoff P-O, Croisille L, et al. A splicing alteration of 4.1R pre-mRNA generates 2 protein isoforms with distinct assembly to spindle poles in mitotic cells. Blood. 2002;100:2629–2636. [PubMed]
61. Blaybel R, Theoleyre O, Douablin A, Baklouti F. Downregulation of the Spi-1/PU.1 oncogene induces the expression of TRIM10/HERF1, a key factor required for terminal erythroid cell differentiation and survival. Cell Res. 2008;18:834–845. [PubMed]
62. Pimanda JE, Donaldson IJ, de Bruijn MFTR, Kinston S, Knezevic K, et al. The SCL transcriptional network and BMP signaling pathway interact to regulate RUNX1 activity. PNAS. 2007;104:840–845. [PubMed]
63. Lenox LE, Perry JM, Paulson RF. BMP4 and Madh5 regulate the erythroid response to acute anemia. Blood. 2005;105:2741–2748. [PubMed]
64. Classon M, Harlow E. The retinoblastoma tumour suppressor in development and cancer. Nat Rev Cancer. 2002;2:910–917. [PubMed]
65. Simpson CF, Kling JM. THE MECHANISM OF DENUCLEATION IN CIRCULATING ERYTHROBLASTS. The Journal of Cell Biology. 1967;35:237–245. [PMC free article] [PubMed]
66. Lu S-J, Feng Q, Park JS, Vida L, Lee B-S, et al. Biologic properties and enucleation of red blood cells from human embryonic stem cells. Blood. 2008;112:4475–4484. [PubMed]
67. Lee JCM, Gimm JA, Lo AJ, Koury MJ, Krauss SW, et al. Mechanism of protein sorting during erythroblast enucleation: role of cytoskeletal connectivity. Blood. 2004;103:1912–1919. [PubMed]
68. Chagraoui J, Lepage-Noll A, Anjo A, Uzan G, Charbord P. Fetal liver stroma consists of cells in epithelial-to-mesenchymal transition. Blood. 2003;101:2973–2982. [PubMed]
69. Langbein L, Pape UF, Grund C, Kuhn C, Praetzel S, et al. Tight junction-related structures in the absence of a lumen: occludin, claudins and tight junction plaque proteins in densely packed cell formations of stratified epithelia and squamous cell carcinomas. Eur J Cell Biol. 2003;82:385–400. [PubMed]
70. Hamazaki Y, Fujita H, Kobayashi T, Choi Y, Scott HS, et al. Nat Immunol advanced online publication; 2007. Medullary thymic epithelial cells expressing Aire represent a unique lineage derived from cells expressing claudin. [PubMed]
71. Holmes JL, Van Itallie CM, Rasmussen JE, Anderson JM. Claudin profiling in the mouse during postnatal intestinal development and along the gastrointestinal tract reveals complex expression patterns. Gene Expression Patterns. 2006;6:581–588. [PubMed]
72. Fujita H, Chiba H, Yokozaki H, Sakai N, Sugimoto K, et al. Differential Expression and Subcellular Localization of Claudin-7, -8, -12, -13, and -15 Along the Mouse Intestine. J Histochem Cytochem. 2006;54:933–944. [PubMed]
73. Abuazza G, Becker A, Williams SS, Chakravarty S, Truong H-T, et al. Claudins 6, 9, and 13 are developmentally expressed renal tight junction proteins. Am J Physiol Renal Physiol. 2006;291:F1132–1141. [PubMed]
74. Acharya P, Beckel J, Ruiz WG, Wang E, Rojas R, et al. Distribution of the tight junction proteins ZO-1, occludin, and claudin-4, -8, and -12 in bladder epithelium. Am J Physiol Renal Physiol. 2004;287:F305–318. [PubMed]
75. Uehara K, Uehara A. Localization of claudin-5 and ZO-1 in rat spleen sinus endothelial cells. Histochem Cell Biol. 2008;129:95–103. [PubMed]
76. Chomczynski P, Sacchi N. Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Analytical Biochemistry. 1987;162:156–159. [PubMed]
77. Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG. The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucl Acids Res. 1997;25:4876–4882. [PMC free article] [PubMed]
78. Felsenstein J. PHYLIP - Phylogeny Inference Package (Version 3.2). Cladistics. 1989;5:164–166.
79. Schmidt HA, Strimmer K, Vingron M, von Haeseler A. TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. Bioinformatics. 2002;18:502–504. [PubMed]
80. Ronquist F, Huelsenbeck JP. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003;19:1572–1574. [PubMed]
81. Kierstein S, Noyes H, Naessens J, Nakamura Y, Pritchard C, et al. Gene expression profiling in a mouse model for African trypanosomiasis. Genes Immun. 2006;7:667–679. [PMC free article] [PubMed]
82. Lanham SM. Separation of Trypanosomes from the Blood of Infected Rats and Mice by Anion-exchangers. Nature. 1968;218:1273–1274. [PubMed]
83. Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostat. 2003;4:249–264. [PubMed]
84. Vader G, Kauw JJ, Medema RH, Lens SM. Survivin mediates targeting of the chromosomal passenger complex to the centromere and midbody. EMBO Rep. 2006;7:85–92. [PubMed]
85. Ito S, Mantel CR, Han M-K, Basu S, Fukuda S, et al. Mad2 is required for optimal hematopoiesis: Mad2 associates with c-Kit in MO7e cells. Blood. 2007;109:1923–1930. [PubMed]
86. Kadri Z, Maouche-Chretien L, Rooke HM, Orkin SH, Romeo P-H, et al. Phosphatidylinositol 3-Kinase/Akt Induced by Erythropoietin Renders the Erythroid Differentiation Factor GATA-1 Competent for TIMP-1 Gene Transactivation. Mol Cell Biol. 2005;25:7412–7422. [PMC free article] [PubMed]
87. Poliak S, Matlis S, Ullmer C, Scherer SS, Peles E. Distinct claudins and associated PDZ proteins form different autotypic tight junctions in myelinating Schwann cells. J Cell Biol. 2002;159:361–372. [PMC free article] [PubMed]
88. Adelman CA, Chattopadhyay S, Bieker JJ. The BMP/BMPR/Smad pathway directs expression of the erythroid-specific EKLF and GATA1 transcription factors during embryoid body differentiation in serum-free media. Development. 2002;129:539–549. [PubMed]
89. Hodge D, Coghill E, Keys J, Maguire T, Hartmann B, et al. A global role for EKLF in definitive and primitive erythropoiesis. Blood. 2006;107:3359–3370. [PubMed]
90. Van Kim CL, Colin Y, Cartron J-P. Rh proteins: Key structural and functional components of the red cell membrane. Blood Reviews. 2006;20:93–110. [PubMed]
91. McMillan BJ, McMillan SN, Glover E, Bradfield CA. 2,3,7,8-tetrachlorodibenzo-P-dioxin induces premature activation of the KLF2 regulon during thymocyte development. Journal of Biological Chemistry Eupub (Ahead of Print) 2007. [PubMed]
92. Fan J, Rone MB, Papadopoulos V. Translocator Protein 2 Is Involved in Cholesterol Redistribution during Erythropoiesis. Journal of Biological Chemistry. 2009;284:30484–30497. [PMC free article] [PubMed]
93. Dominique G, Marie-Marcelle T-T-T, Martine D, Pierre R, Camilo V-L, et al. Generation and characterisation of Rhd and Rhag null mice. British Journal of Haematology. 148:161–172. [PubMed]
94. Ihanus E, Uotila LM, Toivanen A, Varis M, Gahmberg CG. Red-cell ICAM-4 is a ligand for the monocyte/macrophage integrin CD11c/CD18: characterization of the binding sites on ICAM-4. Blood. 2007;109:802–810. [PubMed]
95. Xiang Z, Alicia R, Mari SG, Jianbin P, Quan S, et al. Changes in red cell ion transport, reduced intratumoral neovascularization, and some mild motor function abnormalities accompany targeted disruption of the Mouse Kell gene (Kel). American Journal of Hematology. 2009;84:492–498. [PubMed]
96. Jiang J, Yu H, Shou Y, Neale G, Zhou S, et al. Hemgn is a direct transcriptional target of HOXB4 and induces expansion of murine myeloid progenitor cells. Blood. blood-2009-2007-235341. [PubMed]
97. Chen H, Khan AA, Liu F, Gilligan DM, Peters LL, et al. Combined Deletion of Mouse Dematin-Headpiece and Î2-Adducin Exerts a Novel Effect on the Spectrin-Actin Junctions Leading to Erythrocyte Fragility and Hemolytic Anemia. Journal of Biological Chemistry. 2007;282:4124–4135. [PubMed]

Articles from PLoS ONE are provided here courtesy of Public Library of Science