Here, Boisclair Lachance et al. investigate how the cis-regulatory logic of a tissue-specific cis-regulatory module (CRM) responsible for even-skipped (eve) induction during cardiogenesis organizes the competing inputs of two ETS members: the activator Pointed (Pnt) and the repressor Yan. Their findings provide insight into a novel mechanism by which differential interpretation of CRM syntax by a competing repressor–activator pair can confer both specificity and robustness to developmental transitions.
Keywords: Drosophila embryogenesis, ETS transcription factor, cis-regulatory syntax, heart development, even-skipped, receptor tyrosine kinase
Abstract
Cis-regulatory modules (CRMs) are defined by unique combinations of transcription factor-binding sites. Emerging evidence suggests that the number, affinity, and organization of sites play important roles in regulating enhancer output and, ultimately, gene expression. Here, we investigate how the cis-regulatory logic of a tissue-specific CRM responsible for even-skipped (eve) induction during cardiogenesis organizes the competing inputs of two E-twenty-six (ETS) members: the activator Pointed (Pnt) and the repressor Yan. Using a combination of reporter gene assays and CRISPR–Cas9 gene editing, we suggest that Yan and Pnt have distinct syntax preferences. Not only does Yan prefer high-affinity sites, but an overlapping pair of such sites is necessary and sufficient for Yan to tune Eve expression levels in newly specified cardioblasts and block ectopic Eve induction and cell fate specification in surrounding progenitors. Mechanistically, the efficient Yan recruitment promoted by this high-affinity ETS supersite not only biases Yan–Pnt competition at the specific CRM but also organizes Yan-repressive complexes in three dimensions across the eve locus. Taken together, our results uncover a novel mechanism by which differential interpretation of CRM syntax by a competing repressor–activator pair can confer both specificity and robustness to developmental transitions.
Development of a multicellular organism relies on tissue-specific gene expression programs to establish distinct cell fates and morphologies. The requisite patterns of gene expression must be both spatiotemporally precise and robust in the face of genetic and environmental variation; this is achieved through the action of transcription factors (TFs), whose activating and repressive inputs are integrated at the cis-regulatory modules (CRMs) or enhancers of their target genes. Consequently, the sequence of each CRM provides a physical blueprint for a combinatorial regulatory code that translates upstream signaling information into downstream gene expression. While significant advances have been made in our ability to distinguish regulatory elements from background noncoding genomic DNA and identify consensus TF-binding motifs within them, our understanding of how the intrinsic logic of the cis-regulatory syntax (namely, the number, affinity, position, spacing, and orientation of binding sites) organizes the necessary set of protein–protein and protein–DNA interactions remains poor (Siggers and Gordân 2014; Inukai et al. 2017). Because single-nucleotide polymorphisms in TF-binding sites are being increasingly correlated with altered gene expression and disease susceptibility (Oldridge et al. 2015; Soldner et al. 2016), the ability to deduce the regulatory logic of an enhancer based on its sequence is important.
The tendencies for TFs to cluster into superfamilies and for cells to coexpress multiple nonredundant members of the same superfamily imply that enhancer syntax must enable TFs with very similar DNA-binding preferences to compete, cooperate, and discriminate between binding sites to achieve appropriate gene expression output. Recent insight into these behaviors has come from studies of Hox family TFs (Crocker et al. 2015). The emerging model suggests a specificity–affinity trade-off such that low-affinity sites are best discriminated, while high-affinity sites can be bound by many different Hox factors. Clustering multiple low-affinity Hox sites permits the cooperative and additive interactions needed for robust gene activation responses without compromising specificity. Whether analogous syntax rules apply to other TF superfamilies is not known, and how transcriptional repressors solve the specificity–affinity problem remains to be tested.
The E-twenty-six (ETS) superfamily includes both activators and repressors, all of which recognize the same core DNA sequence, 5′-GGAA/T-3′ (Hollenhorst et al. 2011). ETS TFs are found across metazoan phyla and play key roles in regulating the gene expression programs that direct many aspects of normal development and patterning (Hollenhorst et al. 2011). Exemplifying this, the Drosophila transcriptional activator Pointed (Pnt) and the repressor Yan operate downstream from receptor tyrosine kinase (RTK) signaling pathways to orchestrate numerous cell fate transitions (Klämbt 1993; Scholz et al. 1993; O'Neill et al. 1994; Rebay and Rubin 1995; Sopko and Perrimon 2013). Much of the current understanding of Yan and Pnt stems from studying their regulation of even-skipped (eve) expression during cardiac muscle precursor specification at stage 11 of embryogenesis (Carmena et al. 1998, 2002; Halfon et al. 2000; Knirr and Frasch 2001) and prospero (pros) expression during R7 photoreceptor specification in the developing eye (Xu et al. 2000; Hayashi et al. 2008). Abrogating Pnt-mediated activation or Yan-mediated repression of eve or pros leads to respective loss or ectopic induction of the associated cell fate (Halfon et al. 2000; Xu et al. 2000; Hayashi et al. 2008; Webber et al. 2013a). Gel shift assays using probes from eve or pros CRMs revealed that most Yan-bound ETS sites are also bound by Pnt (Flores et al. 2000; Halfon et al. 2000; Xu et al. 2000), and subsequent high-throughput assays confirm their preferences for very similar sequences (Zhu et al. 2011; Nitta et al. 2015). Because none of the in vitro biochemistry has been done with full-length proteins, how accurately the results will predict the outcome of Yan–Pnt competition for ETS sites in CRMs in vivo is uncertain.
Hints that binding site syntax might influence Yan recruitment come from in vitro binding studies with TEL1, the human counterpart of Drosophila Yan, and from mathematical modeling of Yan's ETS site occupancy. TEL1 and Yan, unlike Pnt or its mammalian counterpart, ETS1 (Slupsky et al. 1998; Mackereth et al. 2004), self-associate via their sterile α motifs (SAMs), and this homotypic interaction is essential for transcriptional repression in both flies and humans (Qiao et al. 2004; Green et al. 2010; Zhang et al. 2010). Using gel shift assays, SAM–SAM interactions were shown to mediate cooperative binding of TEL1 at paired ETS sites (Green et al. 2010). A recent theoretical analysis of TEL1/Yan occupancy at equilibrium explains how such cooperative SAM–SAM interactions might promote preferential recruitment to tandem ETS-binding sites (Hope et al. 2017). Because neither study examined repressive output, the question of whether preferential or cooperative binding of Yan to closely apposed ETS sites might bias Yan–Pnt competition to permit more complex discrimination of CRM syntax than current models assume remains pressing.
To evaluate how CRM syntax organizes the opposing repressive and activating inputs from Yan and Pnt to dictate precise transcriptional output, we assessed the impact of mutating the eight putative ETS-binding sites identified in the eve muscle heart enhancer (MHE) that drives eve expression in 10 segmentally arrayed clusters of pericardial and muscle cells (Halfon et al. 2000). We found that sites with strong affinity best discriminate between Yan and Pnt, with paired sites showing the strongest bias. Thus, mutating a pair of overlapping, conserved, high-affinity ETS sites significantly elevated or expanded MHE reporter expression, consistent with compromised repression. Using CRISPR/Cas9 gene editing of the endogenous MHE, we showed that mutation of this high-affinity ETS supersite reduced Yan recruitment to not only the MHE but also two other CRMs across the eve locus. Mesodermal Eve expression was elevated, consistent with compromised Yan recruitment, resulting in inadequate repression. In this compromised background, environmental and genetic stresses that would normally be buffered against were now sufficient to induce specification of ectopic Eve-positive (Eve+) cells and reduce survival. We conclude that the conserved high-affinity ETS pair within the MHE plays a unique and pivotal role in not just recruiting Yan-repressive complexes to the isolated enhancer but also longer-range coordination of transcriptional complex organization and function across the locus.
Results
A pair of high-affinity Yan-binding sites organizes transcriptional repression at the MHE
The 312-base-pair (bp) MHE from the eve locus provides a tractable system for exploring how cis-regulatory architecture coordinates the activating and repressive inputs that determine expression. Prior work showed that the MHE integrates spatial and temporal cues from multiple signaling pathways and mesodermal determinants to drive expression in a bilaterally symmetric pattern that matches closely the segmental pattern of 10 three-cell clusters of Eve+ cells within the cardiogenic mesoderm (Fig. 1A,B; Halfon et al. 2000). This isolated enhancer also responds appropriately to loss or gain of the TFs that regulate eve mesodermal expression, including Yan, Pnt, the mesodermal determinant Twist (Twi), and the Dpp effector Mothers against Dpp (Mad) (Fig. 1B′–E; Supplemental Fig. S1A-A′; Halfon et al. 2000; Webber et al. 2013a). Four of the eight GGAA/T core-containing putative ETS motifs have been shown to bind Yan and Pnt in vitro; in vivo, their individual mutation reduced reporter expression in the Eve+ clusters, while their simultaneous mutation abolished expression (Halfon et al. 2000). These results suggest that their role in Pnt-mediated activation of MHE expression outweighs their contributions to Yan-mediated repression.
To investigate the contribution of the remaining four candidate ETS motifs to MHE expression, we first assessed their affinity qualitatively using a competitive gel shift assay (see the Materials and Methods for details; Green et al. 2010). We used Yan rather than Pnt for these experiments both because of the greater sensitivity afforded by Yan's intrinsically higher in vitro DNA-binding ability (Xu et al. 2000) and because recombinant Pnt was even more prone to degradation than Yan. To simplify the nomenclature, we relabeled the sites 1–8 (Fig. 1A); thus, sites annotated as Ets1–4 in Halfon et al. (2000) correspond to sites 2, 3, 5, and 8 in our study. Sites 2, 3, and 8 competed effectively, while sites 1 and 4–7 did not (Fig. 2A; Supplemental Fig. S2A). In accordance with the binding preferences identified for fly, human, and mouse ETS TFs (Wei et al. 2010; Webber et al. 2013a; Nitta et al. 2015), the three higher-affinity sites (2, 3, and 8) contain C nucleotides at the −1 and −2 positions, whereas the others do not (Fig. 1A). The mix of higher- and lower-affinity ETS sites made the MHE an ideal test case for exploring how ETS TFs solve the affinity–specificity paradox.
To begin, we measured the effects of individual ETS site mutations on enhancer output using MHE-GFP reporter transgenes. Indirect immunofluorescent measurements in fixed animals were used (see the Materials and Methods) because the positions of Eve+ cells deep within the embryo made quantitative analysis in live embryos prohibitively difficult. In broad agreement with Halfon et al. (2000), individual mutation of the majority of ETS sites (namely, 1, 4, 5, 6, or 7) decreased reporter expression relative to MHEWT-GFP control, with the effect of mutating site 6 the most pronounced (Fig. 2B). In contrast, mutation of sites 2 and 8 elevated reporter gene expression, while site 3 was neutral. When considered together with the in vitro binding data (Fig. 2A; Supplemental Fig. S2A), the single-site mutagenesis analysis suggested that high-affinity sites (2, 3, and 8) contribute more significantly to MHE repression than lower-affinity sites, while lower-affinity sites contribute more significantly to MHE activation. Site 3 appeared to be an exception: Although an effective competitor in vitro, its mutation did not alter reporter expression.
To test whether site 3 might participate in both repression and activation, we mutated it together with site 2 or 8 and compared MHE reporter expression relative to that of the individual mutations. Unexpectedly, simultaneous mutation of sites 2 and 3 induced a greater than fourfold synergistic increase in reporter expression in the Eve+ clusters and ectopic expression in surrounding cells (Fig. 2C,D-D′). In addition to defining a role for site 3 in Yan repression and thereby confirming its functional relevance, the above-additive expression increase within the clusters and the ectopic expression outside the clusters identified sites 2 and 3 as critical collaborative organizers of Yan-repressive complexes at the MHE.
In marked contrast to the increased reporter expression associated with mutation of sites 2 and 3, simultaneous mutation of sites 3 and 8 reduced expression below wild-type MHE levels (Fig. 2C). This result further confirmed the functional relevance of site 3 and uncovered a role in activating expression. In other words, when site 3 is mutated alone, the lack of expression change reflects a loss of balanced repressive and activating inputs; these opposing inputs are revealed only when site 3 is mutated together with site 2 or 8, respectively. The lower than wild-type expression of MHEmut3,8 further suggests that site 8, despite elevating reporter expression when mutated alone, also integrates Yan–Pnt inputs. Consistent with this conclusion, expression of an MHEmut2,8 reporter was subadditive relative to that of the single mutants, although still above wild-type levels (Fig. 2C). Apart from mut2,3 and mut2,8 and with one exception (mut2,5), all other combinations of double- or triple-mutant combinations tested, including mut2,3,8, reduced reporter expression relative to MHEWT (Fig. 2C; Supplemental Fig. S2F). Taken together, these results suggest that activating inputs integrated through the full complement of ETS sites limit the strength of Yan-repressive complexes that are collaboratively organized by the high-affinity ETS2,3 pair.
We next tested the conclusion that MHE ETS sites can integrate both repressive and activating inputs by comparing the response of MHEWT versus MHEmut2,3 to overexpression of Yan or Pnt. Whereas overexpression of a constitutively active form of Yan (Rebay and Rubin 1995) reduced MHEWT expression fivefold, only a threefold reduction was achieved when one or both sites in the high-affinity pair were mutated (Fig. 2E). Thus, although full repression requires an intact ETS2,3 pair, if Yan levels are sufficiently high, it can interact productively with the remaining sites to repress expression. An analogous result was obtained with Pnt overexpression such that MHEWT reporter expression increased sevenfold but only twofold to fourfold when the ETS2,3 pair was mutated (Fig. 2F). The finding that increased Pnt dose increases both wild-type and mutant reporter expression suggests that Pnt levels are limiting with respect to MHE activation even in situations when repression has been compromised by mutation of the ETS2,3 pair. We conclude that Yan and Pnt can interact productively with all ETS sites within the MHE and that, under physiological conditions, the relative Pnt and Yan concentrations are likely to play important roles in shaping their interactions with the cis-regulatory architecture to dictate the precise expression outputs needed for cell fate specification.
Several of our results—namely, the expression increases associated with MHEmut2, MHEmut3, MHEmut8, MHEmut2,3, and MHEmut2,5 (Fig. 2C; Supplemental Fig. S2F)—contradicted previous findings (Halfon et al. 2000). To rule out the possibility that the 86Fb landing site used in our assays was producing artifacts, we inserted MHEWT and MHEmut2,3 into an alternative landing site (attP2) and measured reporter expression. Although not as strong as the increase measured for MHEmut2,3 in the 86Fb insertion site, the trend was consistent, with an almost threefold increase in expression in the Eve+ clusters and significant ectopic expression outside (Supplemental Fig. S2G). We conclude that P-element position-effect differences in the earlier study (Halfon et al. 2000) may have masked the expression increases that our system more reliably detects.
Sufficiency of a high-affinity ETS pair for MHE repression
The MHE mutagenesis described above uncovered a pivotal role for the 2,3 high-affinity ETS site pair in coordinating repressive inputs. To evaluate the biological relevance of this regulatory capability, we compared ETS syntax in the MHEs of other Drosophila species, taking advantage of prior work that aligned eve enhancer sequences (Supplemental Fig. S2H,L; Hare et al. 2008). Of the three high-affinity sites, sites 2 and 3 were conserved over 40 million years of evolution, from Drosophila melanogaster to Drosophila virilis (Fig. 3A). The third high-affinity site, site 8, was conserved across the melanogaster subgroup but was lost in both the obscura and virilis groups (Fig. 3A). We validated the repressive function of the ETS2,3 pair in the D. virilis MHE using cross-species reporter transgenes (Supplemental Fig. S2I–K). Consistent with previous work (Hare et al. 2008), the control reporter DvirMHEWT drove GFP expression in the 10 clusters of Eve+ cells; expression was weaker than that driven by the melanogaster MHEWT reporter (cf. Fig. 1B and Supplemental Fig. S2I), presumably reflecting the low degree of overall sequence conservation between these two highly diverged species. Simultaneous mutation of the ETS2,3 pair increased reporter expression (Supplemental Fig. S2J,K), confirming its importance to MHE repression. Of the lower-affinity sites, only site 6, which our reporter analysis identified as most critical to activation (Fig. 2B), was conserved across all three Drosophila groups (Fig. 3A). Additional ETS sites were noted in the MHEs of all species outside the melanogaster subgroup, but, based on sequence, none of these are predicted to be high affinity (Supplemental Fig. S2L). Together, these comparisons suggest strong evolutionary pressure to both maintain the unique high-affinity 2,3 pair and limit the binding affinity of other ETS sequences within the enhancer.
If high-affinity Yan binding underlies the unique contribution of the 2,3 pair to MHE expression, then introducing a comparable high-affinity tandem elsewhere in the enhancer should restore repression of the MHEmut2,3 reporter. To test this idea, we added a ninth ETS site adjacent to and overlapping site 8 to form a new anti-parallel pair that closely matched the endogenous 2,3 configuration (Fig. 3B). We anticipated that this manipulation would be both minimally disruptive to the enhancer and most readily interpretable because although site 8 integrates inputs from both Yan and Pnt, repression dominates (Fig. 2B,C). Quantification of GFP reporter expression showed that the newly engineered 9,8 ETS pair suppressed the elevated expression associated with MHEmut2,3 back to MHEWT levels (Fig. 3B). The introduction of a short spacer reduced repressive efficiency, but inverting sites 9 and 8 to put them in parallel produced expression levels equivalent to those achieved with the initial anti-parallel configuration (Fig. 3B). Together, these results show that a high-affinity ETS pair can be sufficient to organize effective Yan repression at the isolated MHE.
The MHE ETS2,3 pair does not support classic cooperative Yan binding
The nonadditive expression increase that resulted from simultaneous mutation of MHE ETS sites 2 and 3 (Fig. 2B,C) suggested a partially redundant yet collaborative role in recruiting and organizing Yan-repressive complexes. In considering possible mechanisms, we were motivated by prior in vitro studies of the human ortholog of Yan, TEL1, that demonstrated the importance of SAM–SAM interactions to cooperative recruitment of dimers to paired ETS sites (Green et al. 2010). However, this study did not test an MHE ETS2,3-like pair in which two anti-parallel GGAA/T cores are immediately juxtaposed (Fig. 1A). We therefore used a combination of in vitro gel shifts and structural modeling to explore whether the synergistic contribution of ETS sites 2 and 3 to MHE repression in vivo could reflect classic cooperative Yan binding.
As a control, we first confirmed that Yan can bind cooperatively to the same pair of ETS consensus sites used in the TEL1 study (Green et al. 2010). As predicted, Yan monomers bound independently to the two sites, producing, at low concentrations, a faster-migrating complex corresponding to a single bound monomer and, at increasing concentrations, a slower-migrating complex corresponding to a ternary complex of two bound monomers (Fig. 4A). Even at low concentrations, Yan dimers produced primarily the slower-migrating complex, consistent with SAM–SAM interactions driving cooperative binding (Fig. 4A). Confirming that both Yan molecules in the dimer are DNA-bound in this ternary complex, mutation of one of the two ETS sites enriched for the faster-migrating form (Fig. 4B).
Quite different results were obtained using a probe containing the 2,3 pair of MHE-derived ETS sites (Fig. 4C). First, incubation with Yan monomers resulted in only a single shifted species, suggesting that the head-to-tail arrangement of MHE ETS sites 2 and 3 does not permit simultaneous occupancy of two Yan molecules. Consistent with this interpretation, structural modeling predicted a steric clash that should preclude occupancy of both sites in the ETS2,3 pair by a Yan dimer (Fig. 4D-D′). Incubation with Yan dimers produced primarily the fast-migrating species observed with Yan monomers (Fig. 4C). A slower-migrating form was also noted, but because it was also observed with an MHE-derived probe in which one of the ETS sites was mutated, we suspect that it reflects a ternary complex in which one Yan molecule is bound to one of the two strong ETS consensus sites, and the second is either interacting nonspecifically with an adjacent sequence or is not contacting the DNA at all. Based on the combined in vitro and theoretical results, we conclude that classic cooperative recruitment of Yan dimers is unlikely to explain the strong functional synergy between ETS sites 2 and 3 revealed by our in vivo expression measurements. Instead, we suggest that the superimposition of two overlapping high-affinity ETS consensus sequences creates a “supersite” that significantly increases the probability of Yan occupancy and effective repression. Speculation about possible noncanonical cooperative regulatory mechanisms that could be mediated by the ETS2,3 supersite is presented in the Discussion.
The MHE ETS2,3 supersite confers robustness to endogenous Eve expression
Having established the importance of the ETS2,3 pair to MHE reporter expression and sensitivity to changes in Yan and Pnt levels, we next used CRISPR/Cas9 to explore its contribution in the context of the whole locus. To control for the impact of genetic background, we first re-engineered the wild-type MHE to create an eveMHEWT allele (see the Materials and Methods). Specification of Eve+ cells was normal (Fig. 5B), but average Eve levels per cluster in eveMHEWT homozygotes were reduced relative to w1118 embryos (Fig. 5A; Supplemental Fig. S3). Although the sequence changes used to introduce the PAM sites are outside the minimal enhancer and do not impact known TF-binding sites (Supplemental Fig. S4), they could alter unknown activating sites or interactions. Alternatively, the reduction in Eve levels could reflect more complicated influences of the genetic background (Jiang et al. 2015). With this in mind, we used eveMHEWT as the reference background for all subsequent analyses.
We next mutated ETS sites 2 and 3 to generate eveMHEmut2,3. Average Eve expression levels in the mesodermal clusters were 20% higher than in eveMHEWT control embryos (Fig. 5A), but the number of Eve+ cells was unchanged, and the homozygotes eclosed with normal Mendelian expectations from balanced stocks (Fig. 5B; Supplemental Table S1). Thus, mutation of these two ETS sites in the context of the whole locus had a much more modest impact than in the context of the isolated enhancer (Fig. 2C). However, in survival assays in which stage 11 embryos were counted and placed in vials and then cultured to adulthood at elevated temperature, eveMHEmut2,3 appeared less fit than either eveMHEWT or w1118 controls (Fig. 5C).
To determine whether the elevated Eve expression and reduced fitness of eveMHEmut2,3 embryos might result from altered Yan-mediated regulation, we analyzed Yan chromatin occupancy by ChIP-qPCR (chromatin immunoprecipitation [ChIP combined with quantitative PCR [qPCR]). Yan binding was reduced at the MHE but unchanged at a positive control CRM from the argos (aos) locus (Fig. 5E). Thus, Yan recruitment to the endogenous eve MHE is strongly dependent on the ETS2,3 tandem.
Our previous work showed that three-dimensional (3D) interactions between the MHE and two other CRMs, termed D1 and D2, stabilize Yan occupancy and repression at eve such that deletion of any one CRE reduced recruitment to the other (Webber et al. 2013b). We therefore asked whether the reduced Yan recruitment to the MHE also impacted Yan binding at the D1 and D2 elements. Remarkably, significant reductions were measured at both D1 and D2, suggesting that the molecular mechanism by which Yan-repressive complexes are organized in three dimensions across the eve locus requires effective recruitment to MHE ETS sites 2 and 3 (Fig. 5E).
The similarity in phenotypic consequences between mutating the ETS2,3 pair and deleting the D1 or D2 CRM—namely, reduced Yan occupancy, increased Eve levels but no cell fate defects, and sensitivity to environmental stress—motivated us to explore further parallels. Specifically, our earlier work showed that the addition of genetic stress to a regulatory system already compromised by deletion of the D1 or D2 CRM impacted the specification of Eve+ cells and, ultimately, cardiac function and viability (Webber et al. 2013b). We therefore asked whether genetic manipulations that increase the Pnt:Yan ratio but do not produce phenotypes in wild-type embryos would induce extra Eve+ cells in the compromised repressive background of eveMHEmut2,3.
Three different genetic interactions were tested: increased pnt dose, decreased yan dose, and decreased aos dose. First, using a functional Pnt-GFP BAC transgene (Boisclair Lachance et al. 2014) to increase Pnt levels, we found that doubling the pnt dose increased Eve levels, perturbed cell fate specification, and reduced survival (Fig. 5A,B,D,F,G). Although removing one copy of yan had no significant effect on Eve intensity or Eve+ cell numbers, when we simultaneously reduced yan and added one copy of Pnt-GFP, which on its own had no effect, Eve levels increased, and extra Eve+ cells were specified (Fig. 5A,B,H,I). Finally, we halved the dose of aos, which encodes an EGFR antagonist whose complete loss leads to an expansion in the number of Eve+ cells (Halfon et al. 2000; Carmena et al. 2002), and found increased Eve levels and extra Eve+ cells (Fig. 6A–D). Examining the survival of eveMHEmut2,3 embryos to adulthood in the experiments described above revealed a consistent inverse correlation between the extent of ectopic Eve+ cell fate specification and viability (Fig. 5C,D; Supplemental Table S1), implying that the specification defects observed at this stage ultimately impair cardiac function. In all of these experiments, only minor expression increases and no cell fate changes or reduced viability were detected in the eveMHEWT controls.
We conclude that the conserved ETS 2,3 pair organizes Yan repression at eve to prevent both elevated expression in the newly specified Eve+ signaling cells and ectopic cell fate induction in the immediately surrounding cells. When these sites are mutated, the residual recruitment of Yan to the MHE and other regulatory elements confers transcriptional dynamics that support normal cell fate specification but only under ideal conditions. Finally, these results both confirm the power of the transgenic reporter analyses to pinpoint relevant features of endogenous eve regulation and suggest that the full regulatory complexity of an intact locus can dampen the impact of single binding site changes that dramatically alter behavior at an isolated CRM. While eve could be unusual in its regulatory redundancy, we suspect that regulatory complexity will be more the norm than the exception; thus, our pioneering study should perhaps provide a general warning to the field that when using genome editing to test enhancer function in vivo, more complicated assays—in our case, examination of altered TF occupancy and the addition of genetic or environmental perturbations—may be needed to reveal the phenotypic consequence.
Discussion
Focusing on ETS-binding motifs within a conserved regulatory module, the eve MHE, we identified a simple syntax that allows for robust qualitative and quantitative control of enhancer output. Based on extensive mutagenesis of this enhancer, we propose that Yan's and Pnt's respective preferences for high- and low-affinity ETS sites provide a mechanism for integrating their competing repressive and activating inputs at individual CRMs. In particular, we found that the use of paired strong-affinity sites appears critical to the assembly of repressive complexes that dampen eve expression in newly specified cardiac precursors where Yan levels are low and prevent ectopic eve induction in the surrounding mesoderm where levels of activating TFs such as Twi are high. CRISPR/Cas9-mediated mutation of the endogenous MHE confirmed the importance of such optimized syntax for precise Eve expression levels and uncovered an unexpected role of the ETS2,3 supersite in longer-range organization of Yan complexes across the locus. We speculate that efficient Yan recruitment to high-affinity supersites not only influences short-range interactions at the specific enhancer but also fosters longer-range communication across multiple CRMs.
The unique repressive contribution of the ETS2,3 pair may reflect an unconventional form of cooperative recruitment that provides novel regulatory capabilities to Yan-repressive complexes. Specifically, even though the two sites in the ETS2,3 pair are probably too close to permit simultaneous occupancy, their immediate juxtaposition may significantly increase the probability of stable Yan binding. For example, although nothing is known about the kinetics and dynamics of Yan–DNA interactions, the presence of two overlapping high-affinity binding sites could promote stable occupancy by increasing the chance that a newly dissociated Yan molecule would immediately rebind. The syntax could also support a more organized dynamic in which the two molecules of a Yan dimer toggle back and forth rapidly between bound and unbound states at the two sites. Even more speculatively, because SAM-mediated dimerization is required for Yan-mediated repression (Zhang et al. 2010), if the configuration of the ETS2,3 pair ensured that one molecule of the dimer was always bound, this could leave the second free to interact with either an adjacent nonspecific sequence, as we modeled previously (Hope et al. 2017); another high-affinity ETS site elsewhere in the MHE (for example, site 8); or, even more speculatively, an ETS motif in the D1 or D2 CRM (Webber et al. 2013b). It is also possible that the in vivo mechanism by which full-length Yan contacts DNA is different from that suggested by the in vitro assays. For example, interactions with other TFs and cofactors might somehow mitigate the steric clash to allow simultaneous occupancy by a Yan dimer. In this case, higher-order Yan complexes (for example, trimers or tetramers) could mediate the requisite longer-range contacts. Regardless of specific mechanism, the idea that high-affinity “supersites” might be used to anchor longer-range TF–TF and TF–DNA interactions will be an interesting direction for future investigations.
Our previous work exploring the in vivo functionality of a Yan protein in which the SAM–SAM interface has been mutated to prevent self-association further supports the importance of SAM-mediated repressor cooperativity. Specifically, we found that although Yan monomers are recruited to enhancers genome-wide in a pattern close to that of wild-type Yan, adequate repression does not occur, and phenotypes consistent with yan loss of function ensue (Webber et al. 2013a). This work also noted the prevalence of clustered high-affinity ETS sites across a number of Yan ChIP targets, suggesting that the mechanisms uncovered in our dissection of MHE ETS site syntax might be broadly applicable. Focusing on eve, we suspect that at the resolution of individual ETS sites, in the absence of SAM-mediated cooperativity, Yan occupancy of the ETS2,3 tandem would be insufficiently stable to either compete appropriately with Pnt at the MHE or organize the necessary 3D communication across the locus.
We also note a parallel between the consequences of mutating the high-affinity ETS2,3 supersite in the endogenous eve locus and the findings of an earlier analysis in which we deleted three different Yan-bound CRMs within a genomic Eve-YFP BAC transgene (Webber et al. 2013b). In this earlier study, while deleting the pattern-driving MHE almost completely ablated mesodermal Eve-YFP induction, deleting a “repressive” Yan-bound element (referred to as the D1) increased Eve-YFP expression ∼1.5-fold and led to the specification of extra Eve+ cells. Additionally, deletion of either the MHE or the D1 in the BAC transgene reduced Yan occupancy at not only the deleted element but also the remaining intact CRMs. Here, we report a comparable loss of Yan occupancy across the eve locus upon mutation of the MHE ETS2,3 supersite but only a modest increase in Eve levels and no cell fate specification defects. The discrepancy between reduced Yan occupancy and increased Eve levels in the eveMHEmut2,3 mutant relative to the D1 deletion mutant suggests that deleting an entire CRM not only compromises Yan occupancy across the locus but also disrupts additional repressive inputs. Consistent with this interpretation, the eveMHEmut2,3 background appeared highly sensitized, with the increase in Eve levels and Eve+ cell fate specification associated with a twofold increase in pnt dose almost exactly matching the effects of deleting an entire “repressive” CRM. Further exploration of how high-affinity ETS pairs organize Yan repression at and between CRMs and how this coordinates the competing and collaborating inputs from other TFs will be needed to test these ideas at eve and, more broadly, other target genes.
To conclude, we propose a working model in which Yan's and Pnt's differential interpretation of ETS syntax adds a “dimmer” capability to the classic on/off switch, thereby refining its sensitivity and tunability. Focusing on eve as an example, prior to the onset of RTK-induced cardiac cell fate specification or in cells subject to submaximal signaling, we suggest that Yan's bias for high-affinity sites ensures an effectively 100% probability of occupancy at the ETS2,3 supersite and hence stable repression. In this regime, Yan could also outcompete Pnt at the lower-affinity sites to occupy fully the CRM, or, if Yan levels are limiting, as our data suggest, its preference for high-affinity sites and relative “distaste” for lower-affinity sites could offer Pnt an opportunity to occupy the latter and perhaps influence Yan repression. In contrast, if Yan and Pnt had identical ETS-binding preferences, we would expect a less tuned response to RTK signaling; indeed, when we removed the high-affinity 2,3 pair and hence the strong bias toward Yan occupancy and repression at the MHE, stochastic ectopic expression was induced in the surrounding mesoderm where RTK levels are submaximal. Thus, their distinct preferences ensure that only maximal RTK activation will trigger the necessary shift in Yan–Pnt occupancy and activity to activate eve expression. Furthermore, while previous models assumed a complete switch from total Yan occupancy to total Pnt occupancy as Eve+ cell fates are specified, our work suggests that the ETS2,3 supersite still recruits Yan-repressive input even in Eve+ cells with very low Yan concentration. We speculate that the ability to apply continued Yan-repressive input after cell fate induction may contribute to the robustness of certain developmental transitions by stabilizing the newly acquired cell fate. In agreement with this, in the context of the endogenous eve locus, disruption of the ETS2,3 pair sensitized eve to both fluctuations in upstream signaling and environmental conditions.
More broadly, we speculate that the interplay between the cis-regulatory logic of a CRM and the unique biophysical parameters of different TFs permits evolution to fine-tune gene expression output to a specific threshold depending on each cell's developmental requirement. In the case of Yan–Pnt-regulated genes, the interplay between the degree of Yan SAM-mediated self-association and ETS syntax enables this repressor–activator pair to discriminate between ETS sites with unexpected precision. Furthermore, instead of RTK activation inducing a complete switch from Yan occupancy to Pnt occupancy as cell fates are induced, the cooperative recruitment of Yan to supersites may enable newly differentiating cells with lower Yan:Pnt ratios to sustain the Yan-repressive influence needed to ensure precision and robustness of the gene expression patterns. We suggest that these ideas provide an interesting new vantage point for considering how single-nucleotide polymorphisms in TF-binding sites may heighten susceptibility to disease by compromising the robustness of gene regulatory networks.
Materials and methods
Drosophila genetics
The following chromosomes were from the Bloomington Drosophila Stock Center: w1118, pntΔ88, aosΔ7, UAS-PntP1, nos-φC31;attP2, nos-φC31;86Fb, TM3,Sb-Ser,twi-GAL4,UAS-GFP(TTG), Cyo-twist-GAL4,UASGFP(CTG), TM6B, tubulin-GAL80, and Cyo,Tub>PBac.
Additional strains used were yanE443 and yanE833 (Karim et al. 1996), UAS-YanACT (Rebay and Rubin 1995), Pnt-GFP (Boisclair Lachance et al. 2014), vasa-Cas9 (a gift from R. Fehon, GFP-negative and RFP-negative), and eveMHEWT and eveMHEmut2,3 (this study; described below). A list of MHE-pJR20 transgenes (this study) is in the Supplemental Material.
For the CRISPR/Cas9-mediated generation of eveMHEWT and eveMHEmut2,3 alleles, a 2.1-kb region, including the wild-type or mutated MHE sequences and mutated PAM sites, was inserted into pHD-Scarless (generated by O'Connor-Giles laboratory [Gratz et al. 2013], Drosophila Genomics Resource Center, 1364). Both templates were confirmed by sequencing. Guide RNAs were subcloned into the pU6-Bbs1 chiRNA plasmid (Addgene, 45946) (Gratz et al. 2013). Each template (300 ng/µL) and the two guide RNAs (75 ng/µL) were injected into a GFP/ RFP-negative vasa-Cas9 strain (a gift from Rick Fehon). G0 adults were crossed individually to w1118, and transformants were identified by 3X-Pax-RFP expression in the eyes of the F1 progeny. The 3X-Pax-RFP piggyBac cassette was excised, and progeny without RFP expression were crossed to CTG to establish the eveMHEWT and eveMHEmut2,3 stocks; the desired alleles were confirmed by restriction digest and sequencing (see the Supplemental Material for additional details).
MHE reporter subcloning and transgenesis
QuikChange mutagenesis (Stratagene) of MHEWT-pBluescript (Halfon et al. 2000) was used to modify ETS-binding site sequences (primers are listed in the Supplemental Material). Elements were shuttled into the pJR20 GFP reporter plasmid (Rister et al. 2015) as BamH1 fragments and confirmed by sequencing prior to injection. Transgenes were inserted at the 86Fb (Bischof et al. 2007) or attP2 (Groth et al. 2004) landing sites and outcrossed to w1118 to remove the X-linked φ31 integrase.
A 484-bp D. virilis MHEWT was amplified from genomic DNA using primers 5′-TACTCCGGCGCTCCTCGAGGTTAATGCACCCAGCAGCC-3′ and 5′-GTACCCCGCGGCCGCTAGCGTTTGCAGTGTAGCTGAAATATATGG-3′ and inserted into BamH1-digested pJR20 using Gibson Assembly. A 484-bp gene block (Integrated DNA Technologies) (see the Supplemental Material for sequences) containing D. virilis MHEmut2,3 was similarly inserted into pJR20.
Embryo staining and imaging
Embryos were stained and fixed as described previously (see the Supplemental Material for details; Webber et al. 2013b). The primary antibodies used were rabbit anti-GFP (1/2000; ThermoFisher Scientific, A6455), chicken anti-GFP (1/2000; Abcam, ab13970), guinea pig anti-GFP (1:8000; gift from R. Fehon), mouse anti-Eve 3C10 (1/10; Developmental Studies Hybridoma Bank [DSHB]) (Patel et al. 1992), and mouse anti-Yan 8B12 (1/750; DHSB) (Rebay and Rubin 1995). The secondary antibodies used were goat anti-mouse Cy3 (1/2000; Jackson Immunoresearch), goat anti-rabbit 488 (1/2000; Jackson Immunoresearch), and donkey anti-chicken 488 (1/2000; Jackson Immunoresearch). All primary antibodies were validated for use in Drosophila embryos and are standard for the field.
Images were obtained using either a Zeiss LSM510 or Zeiss LSM880 confocal microscope using 0.45-µm optical sections. For GFP reporter expression measurements, the microscope gain was set for embryos carrying one copy of MHEWT-GFP in an otherwise wild-type background, and then the same settings were used to image all other samples fixed and stained in parallel. For experiments with the CRISPR alleles, the gain was set up on the eveMHEWT allele unless stated otherwise. GFP reporter expression and Eve expression were measured using ImageJ as described previously (Webber et al. 2013b) and normalized to MHEWT/+ or eveMHEWT expression unless stated otherwise. At least two independent experiments were analyzed per genotype. To confirm linearity, we calculated the average fluorescent intensity per cluster in embryos carrying one versus two copies of the MHEWT-GFP transgene using three different methods: maximum projection, average, and sum (additional details are in the Supplemental Material). All three detected the expected twofold difference (Supplemental Fig. S2B–E). Maximal projection was selected for all further analyses to be consistent with our previously published work (Webber et al. 2013b).
Statistical analysis
All results were analyzed using two-way ANOVA analysis to test for statistical significance. When found to be significantly different, a two-way Student's t-test with Bonferroni correction was applied to validate statistical significance in a pairwise manner. For all experiments, at least 40 clusters (four embryos) were analyzed, but, in general, 100 clusters (10 embryos) were analyzed.
In vitro gel shift assays
Recombinant YanA86D and YanV105R (amino acids 1–499) were prepared by TEV protease cleavage of GST fusion proteins purified from the BL21 codon plus Escherichia coli cells (see the Supplemental Material for details). Yan protein in the eluate was assessed for quality and concentration by SDS-PAGE followed by ImageJ quantification of the intensity of Yan products. Eluates were stored for up to 5 d at 4°C.
Double-stranded probes were end-labeled with T4 polynucleotide kinase (New England Biolabs) and γ32PATP (Perkin Elmer) for 1 h at 37°C prior to annealing. All oligonucleotide sequences are listed in the Supplemental Material.
For competition assays, ∼30 pmol of YanA86D was incubated with 50× cold probe for 20 min on ice in 25-µL reactions (0.5 μg of poly-dI-dC, 5 mg of BSA, 25% glycerol in 13 mM HEPES at pH 7.9, 40 mM KCl, 0.7 mM EDTA, 0.3 mM DTT, 1 pmol of labeled probe). Cold competitor (100×) was added, and reactions were incubated an additional 20 min on ice. Cooperative binding was assessed by incubating equimolar amounts of YanV105R and YanA86D for 20 min on ice in the presence of 1 pmol of labeled probe. Samples were resolved on 10% polyacrylamide gels (competition assay) or on 4%–20% gradient gels (cooperative binding) to capture both bound and free probe run in 0.5× Tris-borate-EDTA (TBE) buffer for 45 min at 120 V.
ChIP-qPCR
ChIP from stage 11 embryos (5 h and 20 min to 7 h and 20 min at 25°C) was performed as described in Webber et al. (2013a) (see the Supplemental Material for details).
Structural modeling
The structure of the ETS domain of Yan was built using SWISS-MODEL (Arnold et al. 2006; Guex et al. 2009; Kiefer et al. 2009; Biasini et al. 2014) based on the NMR structure of the ETS domain of Homo sapiens transcriptional factor ETV6 (Protein Data Bank [PDB] ID 2DAO; https://www.rcsb.org/structure/2DAO). The B-form DNA structures containing MHE ETS sites were built using Avogadro (Hanwell et al. 2012). The protein/DNA-binding interfaces were modeled based on a crystal structure of the ETS domain of H. sapiens ETS2 in complex with DNA (PDB ID 4BQA) (Newman et al. 2015). Specifically, the ETS-binding sites were aligned based on DNA backbone atom positions, and the ETS domains were aligned structurally using STAMP (Russell and Barton 1992; Humphrey et al. 1996; Roberts et al. 2006).
Supplementary Material
Acknowledgments
We thank Mark Halfon for pBluescript-MHEWT; Jens Rister and Claude Desplan for pJR20; Cynthia Horth, Hitoshi Matakatsu, and Rick Fehon for the generation of the GFP/RFP-negative vasa-Cas9 strain; R. Fehon for the guinea pig anti-GFP; and Aaron Mitchell-Dick for help injecting constructs. We are also grateful for the helpful comments of the reviewers regarding our interpretation of the biochemistry. We acknowledge the Bloomington Drosophila Stock Center (National Institutes of Health [NIH] P40OD018537), the Developmental Studies Hybridoma Bank (created by the National Institute of Child Health and Human Development of the NIH), and the Drosophila Genomics Resource Center (NIH 2P40OD010949) for critical reagents. We thank Rebay and Fehon laboratory members for helpful discussions, and Trevor Davis, Matt Hope, and Richard Mann for comments on the manuscript. J.-F.B.L and J.L.W. were supported in part by National Institutes of Health (NIH) R01 GM080372 to I.R. J.L.W. was supported by American Heart Association grants 12POST12040225 (2012–2014) and 15POST22660028 (2015). L.H. and J.-F.B.L. were supported in part by NIH R01 EY025957. Additional support came from the Genomics Core Facility through University of Chicago Cancer Center support grant P30 CA014599.
Author contributions: J.-F.B.L. and J.L.W. performed experiments. L.H. and A.R.D. performed the structural modeling. J.-F.B.L., J.L.W., and I.R. designed and interpreted experiments and wrote the manuscript.
Footnotes
Supplemental material is available for this article.
Article published online ahead of print. Article and publication date are online at http://www.genesdev.org/cgi/doi/10.1101/gad.307132.117.
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