Differential regulation of cranial and cardiac neural crest by serum response factor and its cofactors
Abstract
Serum response factor (SRF) is an essential transcription factor that influences many cellular processes including cell proliferation, migration, and differentiation. SRF directly regulates and is required for immediate early gene (IEG) and actin cytoskeleton-related gene expression. SRF coordinates these competing transcription programs through discrete sets of cofactors, the ternary complex factors (TCFs) and myocardin-related transcription factors (MRTFs). The relative contribution of these two programs to in vivo SRF activity and mutant phenotypes is not fully understood. To study how SRF utilizes its cofactors during development, we generated a knock-in SrfaI allele in mice harboring point mutations that disrupt SRF-MRTF-DNA complex formation but leave SRF-TCF activity unaffected. Homozygous SrfaI/aI mutants die at E10.5 with notable cardiovascular phenotypes, and neural crest conditional mutants succumb at birth to defects of the cardiac outflow tract but display none of the craniofacial phenotypes associated with complete loss of SRF in that lineage. Our studies further support an important role for MRTF mediating SRF function in cardiac neural crest and suggest new mechanisms by which SRF regulates transcription during development.
Editor's evaluation
This carefully executed study demonstrates new mechanisms by which Serum Response Factor (Srf) regulates transcription. The authors report the effects that loss of Srf function has on different neural crest lineages in the mouse. The results convincingly show that the main function of Srf within neural crest is in the cardiac neural crest lineage where it regulates cytoskeletal genes.
https://doi.org/10.7554/eLife.75106.sa0Introduction
Multicellular development requires the precise management of cellular behaviors including proliferation, migration, and differentiation. These are coordinated through intercellular communication pathways, such as growth factor signaling, that couple extracellular information with internal effectors, including transcription factors (TFs) (Fantauzzo and Soriano, 2015; Lemmon and Schlessinger, 2010). The balance between opposing transcription programs is tuned by signaling pathways which activate specific TFs or in some cases cofactors that direct the behavior of a common TF. One example of the latter is the essential transcription factor Serum Response Factor (SRF) (Posern and Treisman, 2006). SRF is necessary for the expression of immediate early genes (IEGs) in cells stimulated with serum or growth factors, as well as many genes related to the actin cytoskeleton, contractility, and muscle differentiation.
SRF binds a conserved DNA regulatory sequence known as a CArG box, a motif found at many cytoskeletal and growth-factor inducible gene promoters (Mohun et al., 1991; Norman et al., 1988; Sun et al., 2006b). SRF can, however, effect at least two unique transcriptional programs by coupling with two families of cofactors that compete for a common binding site on SRF itself (Miano, 2003; Wang et al., 2004 Figure 1A). The ternary complex factors (TCFs) are E26 transformation-specific (ETS) family proteins activated by extracellular signal-regulated kinase 1/2 (ERK1/2) phosphorylation (Mylona et al., 2016). Once activated, they bind DNA and promote cellular proliferation by transcribing IEGs in coordination with SRF (Esnault et al., 2017; Gualdrini et al., 2016). There are three TCF members in mouse and human: ELK1, ELK3/NET, and ELK4/SAP1 (Posern and Treisman, 2006). Opposing SRF-TCF activity are the Myocardin Related Transcription Factors (MRTFs). These cofactors rely on SRF to bind DNA, promote cytoskeletal gene expression, and are particularly important in muscle differentiation (Posern and Treisman, 2006). MRTFs bind to and are inhibited by G-actin. Polymerization of G-actin into F-actin liberates MRTFs to translocate to the nucleus and bind SRF (Miralles et al., 2003). This can be promoted by multiple signaling pathways, including phosphoinositide 3-kinase (PI3K), that stimulate guanine nucleotide exchange factors to activate F-actin-promoting Rho-family GTPases (Brachmann et al., 2005; Hanna and El-Sibai, 2013; Jiménez et al., 2000; Vasudevan and Soriano, 2014). MRTFs are also positively and negatively regulated by extensive phosphorylation (Panayiotou et al., 2016). Three MRTFs are known to interact with SRF: Myocardin itself, MRTF-A/MKL1/MAL, and MRTF-B (Parmacek, 2007). Myocd is expressed specifically in muscle while Mrtfa and Mrtfb are more broadly expressed (Posern and Treisman, 2006). A fourth MRTF, MAMSTR/MASTR, interacts with MEF2 proteins and is not known to bind SRF (Creemers et al., 2006).
Srf and its cofactors have been extensively studied genetically. Srf-/- mutant mice die between E6.5 and E8.5 showing defects in mesoderm formation (Arsenian et al., 1998; Niu et al., 2005). Cofactor knockouts are comparatively mild. Single TCF mutants are all fully or partially viable (Ayadi et al., 2001; Cesari et al., 2004; Costello et al., 2004; Weinl et al., 2014) and Elk1; Elk3; Elk4 triple null embryos have not been described in detail but survive until E14.5 without obvious defects (Costello et al., 2010; Gualdrini et al., 2016). Mrtfa-/- mutant mice are viable (Li et al., 2006; Sun et al., 2006a) whereas Mrtfb-/- mice are inviable between E13.5-E15.5, exhibiting cardiovascular defects (Li et al., 2012; Oh et al., 2005). Myocd-/- mice have the most severe phenotype and die at E10.5, also from cardiovascular defects (Espinoza-Lewis and Wang, 2014; Li et al., 2003). Mrtfa; Mrtfb double null mice have not been described, but conditional double mutants have shown these factors exhibit redundancy and broadly phenocopy loss of Srf in several tissues and cell types (Cenik et al., 2016; Guo et al., 2018; Li et al., 2005a; Trembley et al., 2015). However, studies comparing Srf and Mrtfa; Mrtfb mutants are not always identical. In megakaryocytes, loss of Mrtfa and Mrtfb is more severe than loss of Srf and there are large gene expression differences in the two models (Smith et al., 2012; Halene et al., 2010). Indeed, there is evidence that MRTFs may regulate genes independent of SRF or act as cofactors for TFs other than SRF (Asparuhova et al., 2011; Kim et al., 2017). Whether the differences in Srf versus Mrtfa; Mrtfb loss-of-function studies are due to SRF-TCF activity, SRF-independent MRTF activity, or TCF/MRTF-independent SRF activity remains uncertain. These studies are summarized in Supplementary file 1.
One tissue in which SRF was found to be essential is the neural crest (NC) (Newbern et al., 2008; Vasudevan and Soriano, 2014). The NC is a transient developmental population of cells that arises from the dorsal neural tube, migrates ventrally throughout the embryo, and gives rise to numerous cell types including the bone and connective tissue of the face, as well as smooth muscle cells in the cardiac outflow tract (Bronner and Simões-Costa, 2016). The extensive migration, proliferation, and various differentiation outcomes these cells undergo requires accurate coordination, and decades of study have revealed a panoply of signaling pathways and transcription factors important in these processes, including the fibroblast growth factor (FGF) pathway, platelet-derived growth factor (PDGF) pathway, and SRF itself (Brewer et al., 2015; Dinsmore and Soriano, 2018; Newbern et al., 2008; Rogers and Nie, 2018; Tallquist and Soriano, 2003; Vasudevan and Soriano, 2014). We and others have previously shown that Srf is required in the NC for craniofacial and cardiovascular development (Newbern et al., 2008; Vasudevan and Soriano, 2014). Intriguingly, mice homozygous for a hypomorphic allele of Mrtfb die shortly after birth with cardiac outflow tract defects and can be rescued by a neural crest-specific transgene (Li et al., 2005b). Assays in mouse embryonic palatal mesenchyme cells (MEPMs) indicated that stimulation with the secreted ligands fibroblast growth factor (FGF) or platelet-derived growth factor (PDGF) promoted SRF-TCF complex formation, but only PDGF promoted SRF-MRTF interactions, in a PI3K-dependent manner (Vasudevan and Soriano, 2014). Supporting the importance of SRF-MRTF interactions, Srf interacted genetically with Pdgfra but not Fgfr1 in NC (Vasudevan and Soriano, 2014). However, the contributions of each SRF-cofactor transcriptional program to the overall Srf NC phenotype are unclear.
In this study, we further characterize the molecular consequences of losing Srf expression in the NC through marker analysis and expression profiling, finding the most highly downregulated genes to be cytoskeletal in nature. We then test the presumed requirement of SRF-MRTF interactions using a novel SrfaI allele carrying mutations that prevent SRF-MRTF-DNA ternary complex formation to circumvent MRTF redundancy and control for possible SRF-independent MRTF activity. These embryos have striking developmental defects that are outwardly similar to Myocd mutant mice. Conditional NC mutants reveal an essential role for optimal SRF-MRTF activity in the cardiac crest, whereas the mutation is well-tolerated in the cranial NC. These observations raise the possibility that non-cardiovascular tissue may be able to develop with only minimal SRF-MRTF activity or that SRF can support cytoskeletal gene expression on its own or with other cofactors.
Results
Srfflox/flox; Wnt1-CreTg/+ mice develop a midfacial cleft and bleb, characterized by reduced cytoskeletal gene expression
To establish a phenotypic baseline for embryos lacking Srf in NC, we first examined conditional null embryos at E11.5 and E12.5 and assessed their morphology. Consistent with our previous study, a midfacial cleft develops from E10.5 to E11.5, becoming prominent at E11.5 as a failure of the medial nasal process and lateral nasal process (MNP and LNP, respectively) to converge at the midline (Figure 1B–C; Vasudevan and Soriano, 2014). By E12.5, a fluid-filled bleb develops at the midline, often with hemorrhaging into the midfacial cavity (Figure 1B). Embryos turned necrotic starting at E12.5 and did not survive past E13.5.
We sought to better understand the molecular defects that underly this outcome. As Srf has been implicated in mediating cell differentiation, we asked whether early craniofacial patterning was affected. However, expression of the differentiation markers Msx1 (craniofacial mesenchyme), Alx3 (MNP and LNP mesenchyme, medial mandibular mesenchyme), and Six3 (ventral forebrain, nasal placode, eye), as well as the markers of patterning centers Shh (ventral forebrain, weak oral MNP, and mandibular epithelium), and Fgf8 (ventral forebrain, oral MNP, and epithelium) were all unaffected at E10.5 as assessed by in situ hybridization, suggesting craniofacial patterning was largely normal at this stage (Figure 1—figure supplement 1).
We next sought to identify differentially expressed genes (DEGs) through bulk RNA-sequencing of control and mutant frontonasal prominences (FNP, i.e. MNP+ LNP) and mandibles at E11.5. To confirm the quality of the dataset and suitability of the analysis pipeline, we first compared mandible versus FNP gene expression among all samples and identified differentially expressed transcripts encoding 4084 DEGs (q ≤ 0.05, Wald test), among them known regulators of mandible or FNP identity, such as Hand2 and Six3 (Figure 1—figure supplement 2A-B). Principal component analysis showed strong separation of the samples by tissue (Figure 1—figure supplement 2C). We next identified DEGs in control versus Srfflox/flox; Wnt1-CreTg/+ mandibles and FNPs. Mandibles showed 40 DEGs and FNPs 219 (q ≤ 0.05, Wald test). A joint model including both tissue samples and accounting for tissue-of-origin identified 381 DEGs (Figure 1D–E). Srf itself was among the top DEGs, confirming efficient conditional deletion in the cranial NC (Figure 1D–E, Figure 1—figure supplement 2D), but SRF cofactors were not affected (Figure 1—figure supplement 2E).
The most differentially expressed genes primarily encoded cytoskeletal genes that were known targets of SRF-MRTF activity, including Actg1, Cnn2, Vcl, Actb, and Cfl1 (Figure 1D–E). We subjected a more stringent list of 43 downregulated and 36 upregulated genes with q ≤ 0.05 and Log2FC ≥ 0.25 to gene set enrichment analysis using the online tool Enrichr (Xie et al., 2021). Downregulated genes were enriched for cytoskeletal GO terms and SRF-binding motifs (Figure 1F), whereas upregulated genes showed little enrichment for either TF motifs or GO terms and may not be direct SRF targets (Figure 1—figure supplement 2G). We then used gene set enrichment analysis to compare our results with known targets of SRF, MRTF, and TCF (Esnault et al., 2014; Gualdrini et al., 2016; Supplementary file 1). All three gene lists showed enrichment in our dataset, but the MRTF list was most significantly enriched (Figure 1G). Furthermore, limiting this comparison to DEGs with q ≤ 0.05, genes bound by MRTF or MRTF and TCF were more significantly affected (greater fold change) than those bound by TCF alone (Figure 1H–I). We also performed these analyses on the individual FNP and Mandible datasets and found similar enrichment for SRF motifs, cytoskeleton-related GO terms, and a stronger enrichment for known MRTF targets than for TCF targets (Figure 1—figure supplement 2H-I). The one major difference between the tissues was that the FNP dataset contained a group of uniquely affected genes that enriched for terms related to cholesterol metabolism, but these were not further investigated (Figure 1—figure supplement 2H, GO Biological Process).
In summary, our gene expression analysis found that the genes most affected by loss of Srf in both mandible and FNP were enriched for cytoskeleton-related established SRF-MRTF targets. These data, coupled with our previous observations that Pdgfra interacted genetically with Srf in NC and PDGF stimulation promoted SRF-MRTF complex formation, led us to hypothesize that SRF-MRTF interactions would be critical for midfacial development.
SrfaI/aI succumb during early organogenesis with cardiovascular defects
In order to test the requirement for SRF-MRTF interactions genetically, we introduced four knock-in point mutations to the αI helix of the SRF DNA-binding domain previously shown to disrupt SRF-MRTF-DNA ternary complex formation while leaving SRF-TCF-DNA complex formation unaffected (Figure 2—figure supplement 1A-C; Hipp et al., 2019; Zaromytidou et al., 2006). Underscoring their importance, we found these residues are conserved in Srf orthologs from human to sponge, although they are intriguingly less well-conserved in clades lacking a readily identifiable Mrtf ortholog, namely flatworms (Platyhelminthes) and Placazoa (Figure 2—figure supplement 2). We included an N-terminal 3xFLAG tag and refer to the allele as SrfaI. As a control, we generated a separate SrfFLAG tagged line without the αI helix mutations.
SrfFLAG/FLAG mice were viable and fertile, confirming that neither the FLAG tag nor targeting strategy affected development. In contrast, no SrfaI/aI mice were found at weaning age (Table 1). Because we observed no stillborn or dying neonates, we examined embryos at different stages. SrfaI/aI embryos were recovered in Mendelian ratios until E10.5 but were easily identifiable from E9.5 onward due to their obvious morphological differences from control littermates. Mutant embryos were slightly smaller at E9.5 and most had turning defects that ranged in severity from incompletely turned to totally unturned (Figure 2A). This was accompanied by a wavy neural tube, as seen in many embryos with a deficiency in mesoderm (Figure 2A, middle embryo) and some embryos showed a delay in anterior neural tube closure, indicated by the open midbrain (Figure 2A). Mutant embryos also had a missing or hypoplastic second pharyngeal arch (Figure 2A–B, asterisks). Additionally, the yolk sac showed a crinkled appearance with numerous red blood cells, but no obvious mature blood vessels, indicating the onset of primitive hematopoiesis but not vasculogenesis (Figure 2C).
By E10.5, the anterior neural tube had closed but other defects remained or became apparent. Mutant embryos were much smaller than their wild-type or heterozygous littermates (Figure 2D). The developing heart tube appeared distended and thin, and most embryos showed pericardial edema (Figure 2D, arrows). The overall length of mutant embryos was shorter (Figure 2D) and a subset failed to turn, remaining inflected similar to the rightmost embryo in Figure 2A (data not shown). Whole-mount immunostaining of the yolk sac with the endothelial marker CD31/PECAM1 revealed that while wild-type littermates had an extensively remodeled capillary plexus, including the presence of larger vessels, mutant yolk sacs had only a crude primitive capillary plexus, despite the presence of CD31-positive cells (Figure 2E). A reduction in F-Actin levels throughout mutant embryos, including the heart (Figure 2F) and neural tube (Figure 2G), was consistent with reduced SRF-MRTF-mediated transcription of cytoskeletal genes. Additionally, mutant embryos showed reduced cell proliferation and significantly increased cell death (Figure 2H–K).
While striking, the phenotype of SrfaI/aI embryos is less severe than that reported for Srf null mutants, which succumb from E6.5-E8.5 and do not induce expression of the mesoderm marker T (Arsenian et al., 1998). We generated homozygous Srf-/- embryos and found them to be delayed at E6.5 and E7.5 and were not recovered at later stages (data not shown), verifying the early lethality on our genetic background and thus confirming the difference in severity between the Srf- and SrfaI alleles.
The Srf- and SrfaI alleles cause similar defects in the anterior mesodermal lineage
In order to make a second comparison between the SrfaI and Srf- alleles, we generated Srfflox/flox; Mesp1Cre/+ and SrfaI/flox; Mesp1Cre/+ embryos and assessed them at E9.5 and E10.5. Mesp1-Cre directs recombination in anterior mesoderm, including cardiac mesoderm. This is a tissue where SRF-MRTF interactions are known to be required, particularly through SRF-Myocardin activity in the developing heart and vascular smooth muscle (Li et al., 2003; Miano et al., 2004; Niu et al., 2005; Parlakian et al., 2004). In addition, the wavy neural tube phenotype that we observed in SrfaI/aI is often associated with mesoderm deficiency.
Both Srfflox/flox; Mesp1Cre/+ and SrfaI/flox; Mesp1Cre/+ embryos were inviable after E10.5 and exhibited similar phenotypes. Mutant embryos were small, had turning defects (or arrested prior to or during the turning process), pericardial edema, and hypoplastic hearts. They appeared quite similar to SrfaI/aI embryos and phenocopied Myocd mutants (Figure 3A–B; Li et al., 2003). At E9.5, we observed a wavy neural tube in SrfaI/flox; Mesp1Cre/+ embryos, indicating this phenotype is at least partially attributable to defects in mesoderm. Notably, although SrfaI/flox; Mesp1Cre/+ and Srfflox/flox; Mesp1Cre/+ embryos were broadly similar, Srfflox/flox; Mesp1Cre/+ embryos were more strongly affected, being reproducibly smaller and completely unturned. Although these embryos were generated from separate crosses, precluding direct comparisons, the observations were consistent across multiple litters. We conclude from this analysis that the SrfaI allele is less severe than the Srf- allele, but nevertheless represents a significant curtailment of SRF activity. Moreover, because SrfaI/flox; Mesp1Cre/+ and SrfaI/aI embryos are so similar, the SrfaI/aI phenotype is not a secondary consequence of placental insufficiency, a common cause of cardiovascular and neural phenotypes (Perez-Garcia et al., 2018), as Mesp1Cre/+ labels anterior embryonic and extraembryonic (i.e. yolk sac) mesoderm, but not the trophectoderm-derived placenta (Saga et al., 1999).
SrfaI/flox; Wnt1-CreTg/+ embryos do not display craniofacial defects at E13.5
We next asked whether SrfaI/flox; Wnt1-CreTg/+ embryos would display similar defects to Srfflox/flox; Wnt1-CreTg/+ embryos, as we expected. Surprisingly, these embryos appeared completely normal at E13.5 (Figure 4A), when Srfflox/flox; Wnt1-CreTg/+ embryos are already dying and display obvious craniofacial abnormalities.
We tested whether the SrfaI allele was behaving as expected in the NC lineage using MEPM cells cultured from E13.5 SrfaI/flox; Wnt1-CreTg/+; ROSA26TdT/+ (mutant) and Srfflox/+; Wnt1-CreTg/+; ROSA26TdT/+ (control) palatal shelves (Figure 4B). We assessed the expression of genes preferentially regulated by SRF-TCF activity, such as the IEGs, and those regulated by SRF-MRTF activity, namely cytoskeletal genes. At the protein level, immunofluorescent staining of MEPM cells for F-actin and smooth muscle actin (SMA) showed reduced intensity in mutant cell lines compared to control lines (Figure 4C). We also assessed gene expression at the mRNA level by qPCR in starved and serum-stimulated lines. While we noted no significant changes in the expression of the IEGs Egr1 and Fos (Figure 4D), levels of Tagln (SM22) and Acta2 (the gene encoding SMA) were significantly downregulated in both conditions, and we noted a downward trend in Vcl expression (Figure 4D). Srf itself was also significantly downregulated, likely due to autoregulation via the several CArG elements at the Srf locus (Figure 4D, Figure 2—figure supplement 1A). We confirmed that MRTF-A translocated to the nucleus in response to serum in control and mutant cell lines, indicating that the regulated localization of MRTF-A is not affected but that SRFaI fails to productively interact with MRTF-A despite its nuclear localization, thereby affecting transcription of MRTF targets (Figure 4—figure supplement 1A-B).
Since we saw striking changes in these cells in culture but no phenotype up to this stage in the embryo, we sought to compare gene expression differences in SrfaI/flox; Wnt1-CreTg/+ and Srfflox/flox; Wnt1-CreTg/+ embryos. We assessed two of the most strongly affected DEGs from our RNA-Seq, Actg1 and Vcl, and Srf itself in both models. In E11.5 Srfflox/flox; Wnt1-CreTg/+ facial prominences, we found a strong reduction in expression of all three genes, confirming our RNA-Seq data (Figure 4E). The same genes were downregulated in SrfaI/flox; Wnt1-CreTg/+ prominences, but to a lesser degree than the conditional knockouts (Figure 4F), potentially accounting for the lack of phenotype at this stage.
Because Srf interacts genetically with Pdgfra in the NC and because SRF-MRTF transcriptional targets were suggested to be of particular importance downstream of PDGFRA signaling, we reasoned that the SrfaI allele might also interact genetically with Pdgfra in this tissue (Vasudevan and Soriano, 2014). To test this possibility, we generated SrfaI/+; PdgfraH2B-EGFP/+; Wnt1-CreTg/+ triple heterozygous male mice and crossed them with Srfflox/flox; ROSA26TdT/TdT mice but did not observe facial clefting in embryos of any genotype (data not shown).
In summary, cells from SrfaI/flox; Wnt1-CreTg/+ embryos show the expected changes in gene expression, yet the embryos themselves show no outward signs of the severe craniofacial phenotypes observed in Srfflox/flox; Wnt1-CreTg/+ embryos at this stage and have milder defects in gene expression.
SrfaI/flox; Wnt1-CreTg/+ mice succumb in the early postnatal period with outflow tract defects
SrfaI/flox; Wnt1-CreTg/+ embryos survived until birth, after which they died within the first 2 days of life with visible cyanosis (Figure 5A). We examined E18.5 skeletal preparations for defects in patterning or ossification that may arise after E13.5. Mutant skulls were smaller than in control littermates, but the craniofacial skeleton was patterned normally indicating a developmental delay at this timepoint (Figure 5—figure supplement 1). To determine the underlying cause of cyanosis, we examined the cardiac outflow tract at P0 as the smooth muscle in this region is NC-derived and responsible for proper remodeling of the aortic arch vessels during development. We found a highly penetrant (9/14) patent ductus arteriosus (PDA) exclusively in SrfaI/flox; Wnt1-CreTg/+ neonates (Figure 5B–C). In this condition, the embryonic shunt from the pulmonary artery to the aorta, the ductus arteriosus, fails to close after birth, making circulation to the lungs inefficient and likely explaining the postnatal cyanosis. We also noted one instance of aberrant right subclavian artery, in which the right subclavian artery originates from the descending aorta instead of the brachiocephalic artery, which only supplies the right common carotid artery in this condition. We also inspected P0 mice from a similar cross on a PdgfraH2B-EGFP/+ background to assess whether heterozygosity for Pdgfra would exacerbate phenotypes at this stage, but neonates were recovered in the expected Mendelian ratios with similar outflow tract defects (Figure 5—figure supplement 2A-B). Two SrfaI/flox; Wnt1-CreTg/+; Pdgfra+/+ from this set of crosses displayed a more severe outflow tract defect: right aortic arch with mirror image branching (2/9; Figure 5C, far right).
Sections through SrfaI/flox; Wnt1-CreTg/+ and control Srfflox/+; Wnt1-CreTg/+ hearts confirmed the macroscopically observed PDAs and also revealed one instance of ventricular septal defect (VSD) with persistent truncus arteriosus (PTA), a failure of the truncus arteriosus to fully septate into the aorta and pulmonary artery, out of ten mutant hearts examined (Figure 5D). Mutant embryos that survived the first several hours of life had a milk spot, indicating they did not have pronounced defects in olfaction or the craniofacial bones, nerves, and muscles required for suckling. Thus, while the SrfaI allele is surprisingly well-tolerated in the cranial NC lineage throughout most of development, it is required in the cardiac NC-derived smooth muscle of the cardiac outflow tract to support postnatal life, highlighting a critical role for SRF-MRTF interactions in this particular NC lineage (Figure 5E).
Discussion
SRF is a ubiquitously expressed transcription factor whose transcriptional output is strongly influenced by its cofactors, the TCFs and MRTFs. These cofactors, in turn, are regulated both by specific expression patterns (e.g. Myocd specifically in muscle) and by signaling pathways, such as ERK1/2 and PI3K (Posern and Treisman, 2006; Figure 1A). We sought to better understand the relationship between SRF, its cofactors, and mutant phenotypes in both a general and a tissue-specific manner.
Our previous study demonstrated a requirement for Srf in the NC lineage (Vasudevan and Soriano, 2014), so we first investigated how loss of SRF in this tissue affected gene expression. We found normal early NC patterning but misexpression of cytoskeleton-related genes in Srfflox/flox; Wnt1-CreTg/+ embryos (Figure 1C–F, Figure 1—figure supplements 1 and 2E). Comparing the DEGs with known SRF and cofactor targets showed particular enrichment for MRTF targets in our datasets (Figure 1G–H, Figure 1—figure supplement 2F-G), consistent with SRF’s well-known function regulating cytoskeletal genes and the dominant role of MRTF cofactors in the serum response (Esnault et al., 2014). To test the supposition that SRF-MRTF activity would be the main driver of NC SRF activity, we made a new SrfaI mouse model harboring point mutations that specifically disrupt SRF-MRTF-DNA complex formation (Zaromytidou et al., 2006).
Homozygous SrfaI/aI embryos died at E10.5 with defects in the yolk sac vasculature, heart, and neural tube and exhibited reduced F-actin levels (Figure 2A–F). Both the timing of lethality and gross appearance of the embryos strongly resemble Myocd-/- mutant mice (Li et al., 2003). The phenotype is much less severe than Srf-/- embryos, however, which die around E7.5 and fail to induce mesoderm (Arsenian et al., 1998; Niu et al., 2005). Expression of the SrfaI allele specifically in the Mesp1Cre mesodermal lineage also resulted in lethality at E10.5 and defects almost as severe as complete loss of Srf in this same lineage (Figure 3). The similarity of the two alleles in the Mesp1Cre lineage compared against their strikingly different phenotypes in gastrula-stage embryos suggested there may be time or tissue specific requirements for SRF-MRTF activity.
We went on to test the SrfaI allele in the NC lineage, where we presumed it would be critically important. Similar to the early embryo, expression of the SrfaI allele was well tolerated in NC and we found no facial cleft or bleb in our SrfaI/flox; Wnt1-CreTg/+ mice, as in Srfflox/flox; Wnt1-CreTg/+ mice (Figure 4A). The allele also failed to interact genetically with Pdgfra in this lineage, suggesting PDGF signaling may rely on MRTF-independent SRF activity (Figure 5—figure supplement 2A-B). Nevertheless, this mutation in NC does have a profound developmental effect as SrfaI/flox; Wnt1-CreTg/+ mice completed gestation but died by postnatal day 2 with visible cyanosis (Figure 5A). Examination of the cardiac outflow tract revealed numerous defects including PDA, right aortic arch, and one instance of VSD with PTA (Figure 5C–D). This result is reminiscent of mice with a hypomorphic gene trap mutation in Mrtfb and mice carrying a conditional deletion of Myocd in the NC (Huang et al., 2008; Li et al., 2005b), both of which result in early postnatal lethality due to defects in outflow tract development. Similarly, NC conditional Srf mutants on a genetic background that permitted later development exhibit outflow tract defects at E16.5 (Newbern et al., 2008). These studies and our own results together highlight a critical role for SRF-MRTF interactions in cardiac NC development. A summary of the tissue-specific sensitivities we found to loss of Srf or SrfaI expression is depicted in Figure 5E.
We considered three possible explanations for the tolerance of the SrfaI allele in NC and early embryo, which are not mutually exclusive: (i) that TCFs are more important than previously recognized or are redundant with MRTFs in some respects, (ii) that different tissues may have different thresholds for SRF-MRTF activity and that our point mutant may interact differently with different MRTF family members, and (iii) that SRF may utilize cofactors other than MRTFs and TCFs or have cofactor-independent (i.e. basal) activity sufficient to support development in some contexts.
The first possibility is that TCF factors play a more important role than previously thought or can act redundantly with MRTFs. Because TCF triple mutant embryos survive until E14.5 without obvious morphological defects (Costello et al., 2010), we find it unlikely that TCF-specific activity could explain the tolerance of SrfaI during gastrulation or in NC. However, it has been shown that some SRF targets can be bound and regulated by both MRTF and TCF factors (Esnault et al., 2014), raising the possibility of cofactor redundancy. Yet, most studies to date indicate that rather than acting redundantly, MRTFs and TCFs mediate distinct and opposing phenotypic outcomes, contractility and proliferation, respectively (Gualdrini et al., 2016; Wang et al., 2004). Indeed, a potential result of this competition is that the consequences of suppressing SRF-MRTF interactions could vary according to the level of TCF expression in a given cell type. While we cannot rule out the possibility that TCFs are the primary SRF cofactors in NC or function redundantly to MRTFs without further genetic experiments, this explanation is difficult to reconcile with the existing literature. Although there is no known Srf allele that blocks TCF binding while leaving MRTF binding unperturbed, the V194E mutation (V189E in mouse) disrupts SRF interaction with both cofactors (Ling et al., 1998). Generating a mouse model of this allele would shed considerable light on the question of TCF/MRTF redundancy.
A second explanation is that non-muscle lineages may be able to function with minimal, but not zero, SRF-MRTF activity. It is possible that the SrfaI allele substantially impairs but does not eliminate SRF-MRTF-DNA complex formation and functions as a hypomorph. In vitro gel shift assays for SRF-MRTF-DNA complex formation using purified components and single molecule imaging of SRF in cells both indicate a substantial disruption of SRF-MRTF activity for this allele, but the gel shift experiments that first characterized these mutations detected 5–10% residual complex formation (Hipp et al., 2019; Zaromytidou et al., 2006). Our own data demonstrate that homozygous SrfaI/aI embryos grossly phenocopy Myocd-/- mutants (Figure 2) and SrfaI/flox; Mesp1-CreTg/+ and Srfflox/flox; Mesp1-CreTg/+ embryos were similar, though not identical (Li et al., 2003). On the other hand, double conditional mutants for Mrtfa/Mrtfb largely do phenocopy Srf conditional mutants in several tissues (Cenik et al., 2016; Guo et al., 2018; Li et al., 2005a; Trembley et al., 2015). Therefore, we may be observing differing dosage requirements for SRF-MRTF activity in distinct tissues. Muscle lineages, such as cardiovascular cells affected by Mesp1Cre and NC-derived outflow tract smooth muscle affected by Wnt1-Cre, may need optimal SRF-MRTF output and are therefore strongly affected by the SrfaI allele. Non-muscle lineages such as the cranial NC may survive and develop properly with only residual SRF-MRTF transcription. The SrfaI allele might more strongly suppress Myocardin compared to MRTFA/B, which could also contribute to the tissue-specific requirements we observe. Two predictions of this threshold model are that conditional ablation of Mrtfa/Mrtfb in NC would phenocopy conditional loss of Srf and that Mrtfa/Mrtfb double mutant embryos should succumb around E7.5 as Srf null embryos do. Conversely, non-muscle lineages where conditional ablation of Mrtfa/Mrtfb yields Srf-like phenotypes, such as podocytes and epicardium, should be indifferent to the SrfaI mutations.
The issue of SRF tissue-specific dosage effects may have relevance to human disease. A recent study performed targeted sequencing of SRF in nonsyndromic conotruncal heart defect patients and identified two novel mutations with reduced transcriptional output, one from a patient with VSD and the other with Tetralogy of Fallot with right aortic arch (Mengmeng et al., 2020). Thus, tuning of SRF output may modulate disease in a tissue-specific manner. Along these lines, mutations in MYOCD cause congenital megabladder and associated cardiovascular phenotypes such as PTA and VSD in humans, but monoallelic mutations affect only males whereas biallelic mutations affect both sexes (Houweling et al., 2019). Furthermore, heterozygosity for FLNA, a gene we found strongly affected by loss of Srf in mouse NC, causes the human disease Periventricular Heterotopia I and affected females present with PDA, whereas hemizygous males die during gestation (Fox et al., 1998). Intriguingly, NC-specific conditional knockout of Flna causes perinatal lethality with outflow tract defects in mice (Feng et al., 2006). It would be interesting to further explore the notion of tissue-specific thresholds for SRF-cofactor complexes in future studies.
A third explanation is that SRF functions with additional factors that regulate gene expression independent of or redundantly with MRTFs (and/or TCFs) or has sufficient basal activity to support development in some tissues. Although MRTFs and TCFs are the most well-studied SRF cofactors, many other TFs have been shown to interact with SRF, including but not limited to Homeodomain proteins (Chen et al., 1996; Chen et al., 2002; Grueneberg et al., 1992; Shin et al., 2002), GATA factors (Belaguli et al., 2000; Morin et al., 2001), and Forkhead-family transcription factors (Freddie et al., 2007; Liu et al., 2005), as well as the Initiator-binding protein TFII-I (Grueneberg et al., 1997; Kim et al., 1998). Many of these studies were performed in muscle cells and it is unclear which cofactors might act independently of MRTFs. However, several of these genes or their orthologues are expressed in the cranial NC at E10.5 and E11.5, when cleft formation begins in Srfflox/flox; Wnt1-CreTg/+ embryos (Minoux et al., 2017). One candidate is the homeodomain protein PRRX1/PHOX1/MHOX, which was shown to form complexes with SRF mediated by TFII-I (Grueneberg et al., 1997). Double mutants for Prrx1 and its orthologue Prrx2 have defects of the craniofacial skeleton, aortic arch arteries, and ductus arteriosus (Bergwerff et al., 2000; Lu et al., 1999). Gtf2i mutants (the gene encoding TFII-I) rarely survive past E10.5 but can exhibit a facial cleft, hemorrhaging, and hypoplastic pharyngeal arches (Enkhmandakh et al., 2009). Whether SRF mediates transcription on its own, independently of MRTFs and TCFs, or perhaps using additional tissue-specific cofactors, would be exciting to determine.
In conclusion, we found that the primary transcriptional consequence of losing Srf in NC was a defect in actin cytoskeleton-related gene expression. Using a novel SrfaI allele to perturb SRF’s interactions with MRTFs, the primary cofactors regulating the cytoskeletal transcription program, we uncovered a crucial role for SRF-MRTF activity in the cardiac NC, but surprisingly found the mutation well-tolerated in the cranial NC. Further study will be necessary to determine the relevant SRF-cofactor ensembles in different developmental contexts.
Materials and methods
Animal husbandry
Request a detailed protocolAll animal experimentation was conducted according to protocols approved by the Institutional Animal Care and Use Committee of the Icahn School of Medicine at Mount Sinai (LA11-00243). Mice were kept in a dedicated animal vivarium with veterinarian support. They were housed on a 13 hr-11hr light-dark cycle and had access to food and water ad libitum.
Mouse models
Request a detailed protocolThe following previously described mouse lines were used: H2az2Tg(wnt1-cre)11Rth referred to as Wnt1-Cre (Danielian et al., 1998), Mesp1tm2(cre)Ysa referred to as Mesp1Cre (Saga et al., 1999), Srftm1Rmn referred to as Srfflox (Miano et al., 2004), Meox2tm1(cre)Sor referred to as MORE-Cre (Tallquist and Soriano, 2000), Gt(ROSA)26Sortm14(CAG-tdTomato)Hze referred to as R26RTdT (Madisen et al., 2010), and Gt(ROSA)26Sortm4(ACTB-tdTomato,-EGFP)Luo referred to as R26RmTmG (Muzumdar et al., 2007). SrfFLAG and SrfaI mice were generated by gene targeting. Homology arms of 2 kb and 6.4 kb were cloned into the pPGKneoF2L2DTA backbone. The longer arm was assembled in three fragments using HiFi assembly cloning (NEB) and included a 3 x FLAG tag introduced with a primer. Fragments were amplified from 129S4 genomic DNA using Q5 polymerase (NEB) except for the middle segment of the long arm (i.e. the coding sequence of exon 1), which was amplified from a cDNA clone before or after introducing the αI helix mutations via site-directed mutagenesis. The targeting constructs were linearized and electroporated in AK7 (129S4 lineage) embryonic stem cells. Clones were selected with G418, screened by long-range PCR, and verified by Southern blot. Correctly targeted clones were injected into C57BL6/J E3.5 blastocysts, transferred to pseudopregnant F1 (C57BL6/J X 129S4) surrogates, and chimeras selected based on coat color. Founders were crossed to MORE-Cre mice to remove the NeoR cassette (Tallquist and Soriano, 2000). All mice were analyzed on a 129S4 co-isogenic background. Genotyping primers are available in Supplementary file 2.
Conservation
Request a detailed protocolRepresentative species from the various taxa were subject to BLASTP searches with default parameters using the amino acid sequences for mouse SRF, MKL2, and ELK1. Potential hits were then confirmed by reciprocal BLASTP back to mouse. If a species lacked an ELK1 homolog, the mouse ETS1 sequence was used to search for ETS-domain containing genes. If the given species lacked a hit for a particular search, the search was repeated for the entire taxon. Ctenophora were searched using amino acid sequences for mouse SRF and MEF2C, yeast MCM2, snapdragon Deficiens, and Arabidopsis Agamous. No homolog was identified, suggesting loss of MADS proteins in this lineage.
RNA sequencing
Request a detailed protocolFNPs (LNP+ MNP) and mandibles were carefully removed from E11.5 embryos in ice-cold PBS using fine forceps. A total of eight embryos across two litters representing four mutants and four controls were collected. Total RNA was immediately extracted using the RNeasy Plus Mini kit (Qiagen). RNA quality was assessed by Tapestation and all samples had RIN scores ≥ 9.8. Samples were sent to GeneWiz for PE150 sequencing. There were 14.6–30 m reads / sample and an average of 24.2 m reads / sample.
Reads were pseudo-aligned to the mouse transcriptome (mm10 partial selective alignment method, downloaded from refgenie) using salmon 1.5.0 and the flags –validateMappings –gcBias –numBootstraps 30. Pseudoalignments were processed with wasabi 1.0.1 and analyzed with sleuth 0.30.0–4 with the flag gene_mode = true. Analysis was performed using a full model that accounted for genotype, litter/batch, and tissue-of-origin (for combined tissue analysis only) versus a reduced model consisting only of litter/batch (and tissue-of-origin). Fold-changes and q-values were computed using the Wald test. Volcano plots were made with VolcaNoseR. Heat maps were generated using the Shinyapp HeatMappr. Gene set enrichment analysis for GO terms, ENCODE datasets, etc. were done with the web utility Enrichr (Xie et al., 2021). Enrichment for a custom list of targets was performed using GSEA software 4.10 and normalized read counts for the entire dataset. Analysis for the joint tissue model was run in phenotype mode ( > 7 samples per condition) and for the individual tissue samples in gene_set mode ( < 7 samples per condition) according to the software developer. The maximum number of genes per set was raised to 800 to accommodate the target lists. All other parameters were default.
MEPM culture
Request a detailed protocolMouse embryonic palatal mesenchyme cells were generated as described (Fantauzzo and Soriano, 2017). Briefly, palatal shelves were dissected from E13.5 embryos in ice cold PBS using fine forceps. Yolk sac tissue was used for genotyping. Palates from individual embryos were held on ice until dissection was complete and palates were then dissociated using 0.125% Trypsin-EDTA at 37°C for 10 min with occasional trituration using a P1000 pipet. Trypsin was neutralized with an equal volume of growth media (DMEM High Glucose supplemented with Glutamine, Penicillin-Streptomycin, and 10% Fetal Calf III serum) and plated onto culture dishes coated in 0.1% gelatin. Cells were passaged as they approached confluency, every 2–3 days, and used for experiments at passage 2. MEPM cell lines were not screened for mycoplasma as they were used and extinguished by passage 2, but there was no evidence of mycoplasma by DAPI staining and other immortalized cell lines used in the lab tested negative for mycoplasma, so the risk of contamination was negligible.
Immunofluorescence
Request a detailed protocolMEPM cells were seeded on #1.5 coverslips coated with 0.1% gelatin. For starvation experiments, cells were starved overnight in 0.1% serum then stimulated 30’ with 10% serum. Cells were fixed using 4% PFA in PBS for 10’ at 37 °C. Embryos were dissected in ice cold PBS, fixed one hour in 4% PFA in PBS at 4 °C, rinsed in PBS, cryoprotected in 30% sucrose, and embedded in OCT. Sections were cut at 10 µm thickness using a Leica cryostat. Yolk sacs were fixed one hour in 4% PFA in PBS at 4 °C and stained whole. All samples were rinsed in PBS, blocked and permeabilized in blocking media (PBS, 0.3% TritonX-100, 1% BSA, 5% calf serum) one hour at RT, primary antibody was diluted in fresh blocking media and samples treated overnight at 4 °C, washed 3 x PBS at RT, incubated in Alexa Fluor Plus-conjugated secondary antibodies (Invitrogen) diluted 1:500 in fresh blocking media with 1 μg/ml DAPI for 1–2 hr at RT or overnight at 4 °C, and finally washed 3 x in PBS at RT. Samples were mounted in Prolong Diamond (Invitrogen) mounting media and imaged on a Zeiss AxioObserver inverted fluorescence microscope or a Zeiss 780 upright confocal microscope. Thresholding was performed and scalebars added in the FIJI implementation of ImageJ. All images for a given experiment were processed identically with the exception of Figure 2A where the mutant embryos were brightened compared to the control embryo to better illustrate phenotypes.
Quantitation of cell proliferation and cell death was performed by staining frozen sections with the indicated antibodies. Sections at the level of the heart were imaged using a 10 x objective on a Zeiss 780 confocal microscope, a 1024 × 1024 pixel count and 6 μm step size. Tiling was used with 10% overlap when necessary to image the entire section. Maximum intensity projections were made in the FIJI implementation of ImageJ and identical thresholds used for each embryo to calculate the DAPI-positive and cleaved Caspase 3-positive or phospho-Histone H3 (Ser 10)-positive area on sections at the level of the heart. Any of the embryo’s posterior present in the section was ignored as this region was not present in all sections for all embryos.
Antibodies used were, rat anti-CD31 (BD Pharmingen, 553370) 1:50, rabbit anti-cleaved Caspase 3 (Cell Signaling 9665, 1:400), rabbit anti-phospho Histone H3 (Ser10) (Millipore 06–570, 1:500), rabbit anti-MKL1 (Proteintech, 21166–1-AP) 1:100, rabbit anti-SMA (Cell Signaling, 19245) 1:200. Phalloidin-Alexa Fluor 647 (Invitrogen) was included where indicated during secondary antibody staining at 1:400.
RT-qPCR
View detailed protocolCells were seeded, passaged, starved, and stimulated as for immunofluorescence except in 12-well tissue culture plates. Embryo facial prominences were dissected in cold PBS and transferred to 1.5 ml microfuge tubes on ice. Following the indicated stimulation regimes when applicable, cells/tissue were lysed in 300 μl RLT buffer supplemented with BME, and RNA isolated using the RNeasy Plus Kit (Qiagen) according to the manufacturer’s instructions. RNA concentration was quantified using a Nanodrop. One μg total RNA was used for reverse transcription. RNA was primed using a 2:1 molar ratio of random hexamer and polydT (Invitrogen) and reverse transcribed with Superscript IV (Invitrogen) according to the manufacture’s protocol. Resulting cDNA was diluted 5 x with water and stored at –20 °C. One μl cDNA was used per qPCR reaction. qPCR was performed using Luna 2 x Master Mix (NEB) on an iQ5 thermocycler (Bio-Rad) in triplicate. Differences in gene expression were calculated by ΔΔCT using Hprt for normalization. Primer sequences are listed in Supplementary file 3.
Nuclear translocation analysis
Request a detailed protocolCells were starved, treated, and stained as described above and imaged on an inverted Zeiss AxioObserver microscope. Z-stacks were maximum intensity projected in the FIJI implementation of ImageJ, background subtracted, and the DAPI channel used to create a nuclear mask. This mask was then used to measure the average nuclear intensity in the MRTF-A channel for each nucleus. The data presented are the pooled results from two cell lines of each genotype where each dot is an individual nucleus. At least 70 cells were analyzed per condition.
In situ hybridization
Request a detailed protocolE10.5 embryos were dissected in ice-cold PBS and fixed overnight in 4% FA in PBS at 4 °C, rinsed in PBS, dehydrated through a MeOH series and stored in 100% MeOH at –20 °C. Embryos were stained using standard techniques for the indicated transcripts using published, DIG-labeled probes, and were developed in BM Purple (Roche | Sigma-Aldrich). For Fgf8 the proteinase-K digestion was omitted in order to maintain integrity of the ectoderm. A detailed protocol is included as Supplementary file 2 and probe sequences are available as SnapGene files at Dryad. https://doi.org/105061/dryadmgqnk9916.
Histology
Request a detailed protocolP0 hearts were fixed overnight in 4% FA in PBS at 4 °C, rinsed in PBS, dehydrated through an ethanol series, and embedded in paraffin. Five μm sections were cut using a Leica microtome. After drying, sections were stained with Harris modified hematoxylin (Fisher) and Eosin Y using a standard regressive staining protocol.
Skeletal preparations
Request a detailed protocolSkeletons were stained by standard techniques. Briefly, E18.5 embryos were skinned, eviscerated, fixed in ethanol, stained with.015% alcian blue and.005% alizarin red overnight at 37 ° C, cleared in 1% KOH, processed through a glycerol:KOH series, and photographed in 80% glycerol in PBS.
Statistical methods
Request a detailed protocolSpecific statistical methods, significance values, and n are detailed in the figure legends. For RNA-Seq, statistics were computed using the built-in Wald Test function in the Sleuth analysis package. All other statistics were performed using GraphPad Prism 9.
Data availability
The NGS data is available on GEO. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE186770.
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NCBI Gene Expression OmnibusID GSE186770. Differential regulation of cranial and cardiac neural crest by Serum Response Factor.
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Article and author information
Author details
Funding
National Institute of Dental and Craniofacial Research (R01 DE022363)
- Philippe Soriano
National Institute of Dental and Craniofacial Research (F32 DE026678)
- Colin J Dinsmore
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
We thank the members of the Soriano lab, Robert Krauss, Sergei Sokol, and Harish Vasudevan for critical reading of the manuscript. We are appreciative of Kevin Kelley and the Mouse Transgenic Core for stable tissue culture facilities. We thank the Mt. Sinai Microscopy core facility for consistent advice and top-notch instrumentation. CJD was supported by F32 DE026678 from National Institutes of Health (NIH)/National Institute of Dental and Craniofacial Research (NIDCR). This work was supported by R01 DE022363 from NIH/NIDCR to PS.
Ethics
All animal experimentation was conducted according to protocols approved by the Institutional Animal Care and Use Committee of the Icahn School of Medicine at Mount Sinai under protocol LA11-00243. Mice were kept in a dedicated animal vivarium with veterinarian support. They were housed on a 13hr-11hr light-dark cycle and had access to food and water ad libitum.
Copyright
© 2022, Dinsmore and Soriano
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
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