Abstract
Background & Aims
The enteric nervous system (ENS) regulates gastrointestinal function via different subtypes of neurons, organized into fine-tuned neural circuits. It is not clear how cell diversity is created within the embryonic ENS; information required for development of cell-based therapies and models of enteric neuropathies. We aimed to identify proteins that regulate ENS differentiation and network formation.
Methods
We generated and compared RNA expression profiles of the entire ENS, ENS progenitor cells, and non-ENS gut cells of mice, collected at embryonic days 11.5 and 15.5, when different subtypes of neurons are formed. Gastrointestinal tissues from R26ReYFP reporter mice crossed to Sox10-CreERT2 or Wnt1-Cre mice were dissected and the 6 populations of cells were isolated by flow cytometry. We used histochemistry to map differentially expressed proteins in mouse and human gut tissues at different stages of development, in different regions. We examined enteric neuronal diversity and gastric function in Wnt1-Cre x Sox6fl/fl mice, which do not express the Sox6 gene in the ENS.
Results
We identified 147 transcription and signaling factors that varied in spatial and temporal expression during development of the mouse ENS. Of the factors also analyzed in human ENS, most were conserved. We uncovered 16 signaling pathways (such as fibroblast growth factor and Eph/ephrin pathways). Transcription factors were grouped according to their specific expression in enteric progenitor cells (such as MEF2C), enteric neurons (such as SOX4), or neuron subpopulations (such as SATB1 and SOX6). Lack of SOX6 in the ENS reduced the numbers of gastric dopamine neurons and delayed gastric emptying.
Conclusions
Using transcriptome and histochemical analyses of the developing mouse and human ENS, we mapped expression patterns of transcription and signaling factors. Further studies of these candidate determinants might elucidate the mechanisms by which enteric stem cells differentiate into neuronal subtypes and form distinct connectivity patterns during ENS development. We found expression of SOX6 to be required for development of gastric dopamine neurons.
Keywords: HOX, Tyrosine Hydroxylase, Gastric Motility, Neural Crest
Abbreviations used in this paper: AHR, aryl hydrocarbon receptor; BMP, bone morphogenetic protein; CTGF, connective tissue growth factor; C11, transcriptome of non-ENS gut cells at E11.5; C15, transcriptome of non-ENS gut cells at E15.5; E, embryonic day; ENS, enteric nervous system; ENSC, enteric neural stem cell; FACS, fluorescent-activated cell sorting; FGF, fibroblast growth factor; GI, gastrointestinal; IHC, immunohistochemistry; ISH, in situ hybridization; MDK, midkine; NTN, netrin; PBS, phosphate-buffered saline; RT, room temperature; SEMA, semaphorin; S11, transcriptome of enteric progenitor cells at E11.5; S15, transcriptome of enteric progenitor cells at E15.5; TALE, 3 amino acid loop extension; TGF, transforming growth factor; UCL, University College of London; W, embryonic week; W11, transcriptome of ENS cells at E11.5; W15, transcriptome of ENS cells at E15.5; YFP, yellow fluorescence protein
Graphical abstract
See Covering the Cover synopsis on page 458; see editorial on page 478.
Editor's Notes.
Background and Context
The diverse types of neurons of the enteric nervous system (ENS) are required for normal gastrointestinal functions, yet how cellular diversity is created during ENS development remains unknown.
New Findings
RNA profiles and histochemical patterns identified regulatory genes in developing enteric neuron subtypes in mouse and human embryos. The transcription factor SOX6 was found essential for gastric dopamine neuron formation.
Limitations
Although many of the identified gene expressions were described in different regions and stages of the gastrointestinal tract by immunohistochemical stainings, the large majority need validating analyses.
Impact
This resource of gene expression patterns can be implemented in molecular research on ENS development and in studies aimed at differentiating specific types of enteric neurons from embryonic stem cells.
Vital gastrointestinal (GI) functions, including bowel motility, blood flow, and fluid exchange, are regulated by the enteric nervous system (ENS). To accomplish these complex tasks, the ENS is organized into full neural circuits composed of a multitude of different cell types, including intrinsic sensory neurons, motor neurons, interneurons, and enteric glia.1 In the congenital ENS disorder Hirschsprung disease, children are typically born with the distal bowel lacking motility due to local absence of enteric neurons.2 In other enteric neuropathies, including achalasia and gastroparesis, only subsets of neuronal subtypes are affected.1, 2 Hence, the diversity of enteric neuronal subtypes is critical for normal gut function and selective dysfunction or local neuronal loss leads to GI disorders. Recent progress in producing stem cell–derived ENS cells raises hope for development of novel cell-based treatments of ENS disorders,2, 3 but functional recovery rests on recreating enteric circuits with diverse cellular composites. To date, knowledge of the molecular mechanisms underlying the generation of different ENS cell types in correct numbers and proportions is incomplete,4 but would be instrumental in the engineering of functional ENS networks.
The ENS is primarily derived from neural crest cells, which emigrate from the vagal (and partly sacral) neural tube and colonize the foregut at embryonic day (E) 9.0 in mice and week (W) 4 in humans. Extensive proliferation and migration of these enteric neural stem cells (ENSCs) eventually results in an interconnected ganglionic network along the GI tract.5 Asynchronous differentiation into neurons starts at E10 and continues into postnatal stages,6 resulting in 16 mature neuronal subtypes as defined by axonal projection patterns and neurotransmitter expression.4 However, detailed investigation of enteric neuronal subtypes and their lineage development is challenged by the lack of a clear functional architecture in the ENS. In contrast, the patterned germinal zones generating groups of functionally related neurons in the central nervous system has allowed extensive research on its development. There, establishment of distinct neurons relies on the interplay between instructive signaling factors and intrinsic programs of transcription factor networks, sequentially regulating specification and differentiation.7 On account of this, the stage of maturity and identity of a neural cell can be inferred from its transcription factor signature. Many transcription factors have been detected during ENS development, but only a few have been described in detail and shown to influence neuronal subtype commitment.8, 9 The bowel mesenchyme secretes several growth factors essential for ENS development, but our understanding is mainly restricted to the roles of these factors in general differentiation and proliferation.8 Intricate cell-to-cell communication also is required for the subsequent establishment of neuron-specific connections to form functional circuits, but remains uncharacterized. Expression profiles of transcriptional and signaling regulators in ENS sublineages at different stages could thus be deployed to uncover the molecular mechanisms underlying neuronal diversification and network formation during ENS development.
Birth-dating studies demonstrate that the different enteric neuronal subclasses are born (undergo neurogenesis) in a temporally sequential manner.10, 11 Enteric serotonergic neurons (5-HT+) are born early (E10–E12.5), whereas for instance, dopaminergic neurons (TH+) appear slightly later (peaks at E13–E15.5). The timed order of neuronal subtype generation indicates a progressive change in the differentiation competence of ENSCs. To reveal intrinsic and extrinsic regulatory genes at discrete steps during differentiation of enteric neuronal subclasses, we performed RNA expression analysis of ENS subpopulations and surrounding gut tissue at developmentally distinct stages. Adding to the transcriptome analysis, we present a spatiotemporal histochemical expression pattern map of transcriptional and signaling factors in both mouse and human developing gut. Demonstrating the strength of our strategy to find determining genes, we show that one candidate transcription factor, Sox6, is essential for the selective development of gastric dopamine neurons. Implementation of this novel gene platform would significantly refine basic and translational studies of the successive processes in which ENSCs differentiate into various enteric neurons and assemble into discrete ENS circuitries to control bowel physiology.
Material and Methods
Mouse and Human Embryos
The generation of Sox10CreERT2,6 Wnt1Cre,12 and R26ReYFP13 mouse strains has been described. Sox6fl mice were kindly provided by V. Lefebvre (Cleveland Clinic Lerner Research Institute, Cleveland, OH).14 Histochemical analysis was performed on C57 and MF1 mice. Animal experiments adhered to Animal Research: Reporting In Vivo Experiments standards, and were approved by the local National Institute for Medical Research ethical review panel or by the local ethics committee in Stockholm (N87/13). Remains of human embryos and fetuses (5.5–10.0 weeks after conception) were obtained after elective routine abortions with written consent given by the pregnant women. Collection of human tissue for research was approved by the Regional Human Ethics Committee, Stockholm (2013/564–32) and conducted by the Karolinska Institutet Stem Cell and Tissue Bank.
Induction of Inducible Reporter
Time-mated Sox10CreERT2 × R26ReYFP mice received a single intraperitoneal injection of 4-hydroxytamoxifen (4-OHT; Sigma-Aldrich, Saint Louis, MO) dissolved in ethanol/corn oil (1:9) (0.1 mg/g body weight) at E10.5 or E14.5. After 20 hours, embryos were harvested.
Preparation of Cell Populations
Dissected guts were digested in 1 mg/mL dispase/collagenase (Roche, Basel, Switzerland) for 3 to 5 minutes (E11.5) at room temperature (RT) or 1 hour (E15.5) at 37°C. Tissue was then dissociated in OPTIMEM (Life Technologies, Carlsbad, CA) supplemented with 10% fetal calf serum, collected by centrifugation and passed through a cell strainer cap (Falcon; 352235). Fluorescent-activated cell sorting (FACS) of cells was performed using a MoFlo Cell Sorter (BeckmanCoulter, Brea, CA) or a FACSAria II (BD Biosciences, San Jose, CA) (Supplementary Figure 1). Purity-checked cell samples were counted using a cytometer, spun at 200g for 12 minutes at 4°C and resuspended in lysis buffer from RNeasy Micro kit (Qiagen, Hilden, Germany). Samples were vortexed or run through a shredder (Qiagen), snap-frozen, and kept at −80°C.
RNA Preparation
Samples from different FACS sortings were pooled to obtain appropriate final RNA concentrations. Total RNA was extracted from the samples using an RNeasy Micro kit (Qiagen). Purity of RNA was verified by Bioanalyzer Total RNA Nano (Agilent Technologies, Santa Clara, CA). Biotin-labeled complementary DNA was prepared using the Ovation Pico kit (Nugen, Manchester, UK) at the University College of London (UCL) Genomics (London, UK). For detailed information of cell samples and RNA analysis see Supplementary Figure 1.
Microarray Analysis
The samples were hybridized to GeneChip Mouse Gene 1.0 ST arrays at UCL Genomics and processed using the rma algorithm using the Partek software (Partek Inc., St. Louis, MO). Principal component analysis and box-plots showed normal distribution.
Bioinformatic Analysis
Partek software was used at UCL Genomics to perform pairwise comparisons. Significant genes were based on 5% false discovery rate using the Benjamini & Hochberg correction. Functional annotation clustering was performed in the DAVID resource 6.7.15 Although filtered away by the applied false discovery rate, expression of a few genes was found by in situ hybridization (ISH), immunohistochemistry (IHC), or other published study. These genes were introduced into resulting gene lists.
Tissue Preparation
E11.5 to 12.5 mouse embryos were fixed in 4% paraformaldehyde in phosphate-buffered saline (PBS) at 4°C for 1.5 hours. Isolated E15.5 to 19 mouse guts and human guts were fixed for 2 hours. Tissue was incubated at 4°C overnight in 30% sucrose in PBS, embedded in optimum cutting temperature compound (Histolab, Leiden, The Netherlands) and stored at −80°C. Tissue was sectioned at 14 μm.
Immunohistochemistry
IHC was performed as described.9 Briefly, mouse sections were preincubated for 2 hours at RT with unconjugated donkey anti-mouse IgG (Jackson ImmunoResearch, West Grove, PA). Mouse and human tissue were then blocked 1 hour (2% donkey or goat serum, 0.1% Triton x-100, PBS) and incubated overnight with primary antibodies and detected with secondary antibodies the following day (Supplementary Table 1). Before IHC, some antibodies required antigen retrieval: microwave heating of slides in antigen retrieval solution (Dako, Santa Clara, CA) followed by cooling to RT.
Imaging
Images were taken using a Zeiss (Oberkochen, Germany) LSM700 confocal microscope and processed in Adobe Photoshop CS6 (Adobe Systems Inc., San Jose, CA) or Image J (National Institutes of Health, Bethesda, MD). Counting of fluorescent cells was performed on images or directly under a Zeiss fluorescent microscope. The abundance of protein coexpression was estimated by visual inspection. For all ISH analysis, we used Allen Developing Mouse Brain Atlas (http://developingmouse.brain-map.org) and GenePaint (http://www.GenePaint.org).
Gastric Emptying
Liquid gastric emptying assay was essentially performed as described.16 Mice were fasted 6 hours and water withdrawn 1 hour before the experiment. Animals were killed 15 minutes after gavage (rhodamine B dextran: 100 μL; 10 mg/mL in 2% methylcellulose; Invitrogen, Carlsbad, CA), whereby stomach and small intestine (10 equal-length segments) were collected in 0.9% NaCl, homogenized, and centrifuged. Fluorescence was measured in 200-μL aliquots (triplets) of the supernatant (Fluostar Omega; BMG Labtech, Offenburg, Germany) and percentage of total fluorescence that emptied from the stomach was calculated.
Stomach size assessment was made in mice culled at 9 AM with prior free access to food and drink.
Statistical Analysis
Mutant embryos were compared with littermate controls. Student paired t test was performed for cell countings, and Student t test for the functional assay. Bars indicate means ± standard deviation. Significance levels for the tests were assumed at *P < .05; **P < .01; ***P < .001.
Data Availability
The microarray data have been submitted to the GEO database (http://www.ncbi.nlm.nih.gov/geo/) and assigned the identifier GSE100130.
Results
Transcriptome Analysis Identifies Differentially Expressed Genes in Enteric Progenitors, Neurons, and Non-ENS Gut Cells at Different Developmental Stages
Aiming to identify intrinsic and extrinsic genes with regulatory functions at successive steps during differentiation of phenotypically distinct neurons, we designed a transcriptome analysis comparing ENS progenitor cells, the entire ENS (including also immature neurons), and surrounding gut tissue at 2 developmentally distinct stages (E11.5 and E15.5).
As SOX10 specifically marks dividing ENS progenitor cells,8 we could retrieve this subpopulation by inducing reporter expression in Sox10CreERT2 × R26ReYFP embryos.6 The whole ENS could be collected from Wnt1Cre × R26ReYFP mouse embryos, owing to ENS-specific yellow fluorescence protein (YFP) reporter expression in the GI tract.12 YFP+ and YFP− cells from dissociated E11.5 and E15.5 guts of transgenic embryos were separated using FACS, after which RNA expression was determined using gene arrays. In total, the transcriptomes of 4 different ENS populations were analyzed: Sox10CreERT2 × R26ReYFP at E11.5 and E15.5 (hereinafter denoted S11 and S15) and Wnt1Cre × R26ReYFP at E11.5 and E15.5 (hereinafter denoted W11 and W15) (Figure 1A). Transcriptomes of YFP− cells, derived from Wnt1Cre × R26ReYFP gut at E11.5 and E15.5 representing non-ENS gut tissue also were included in the analysis (partly as a control and hereinafter denoted C11 and C15) (Figure 1A). Pairwise comparisons between the 6 populations can be found in Supplementary Table 2.
By distributing the top-10 enriched genes obtained from pairwise comparisons between ENS populations (S11, S15, W11, and W15) and non-ENS controls (C11 or C15) in a combined unsupervised chart, we confirmed clustering of each data set and an overall similarity between ENS populations (Figure 1B). Gene ontology analysis verified that enteric nervous system development (7.6–8.3) (Figure 1C) was highly enriched in the 4 ENS transcriptomes in comparison with non-ENS controls. Well-known ENS-expressed genes also displayed high expression levels in ENS populations, whereas gut regulatory genes were enriched in C11 and C15 (Figure 1C). Functional cluster analysis of the S15 versus W15 (S15vsW15) comparison confirmed a high enrichment score for the gene ontology term cell cycle (37.2) in S15 and neuron projection (21.6) in W15. The S11vsW11 comparison yielded too few genes for such analysis. However, several genes involved in cell cycle regulation were enriched in both S11 and S15, whereas genes associated with neurons were enriched in W11 and W15 (Figure 1D). In summary, this analysis verified that the 4 isolated ENS transcriptomes (S11, W11, S15, W15) represented ENS cells. S11 and S15 mostly contained dividing progenitors, whereas W11 and W15 also included differentiating neurons (Figure 1A).
As this study focused on revealing regulatory genes in cellular diversification of the developing ENS, we decided to mine the pairwise transcriptome comparisons for 3 sets of enriched genes: transcription factors, signaling factors, and receptors (summarized in Figure 1E; corresponding gene lists in Supplementary Tables 3–5).
Identification of Novel Transcription Factors in the Developing ENS
Out of the hundreds of enriched transcription factors (Figure 1E; Supplementary Table 3) we performed a confirmative in-depth analysis primarily including transcription factors already linked to developmental processes and omitting those associated with mitochondria or the general transcriptional machinery. The expression of these transcription factors was first examined using online ISH resources (Supplementary Table 6; Supplementary Figure 2). A total of 31 genes were then selected for an extensive IHC analysis. In this mapping, we determined the expression in relation to HUC/D+ neurons and SOX10+ progenitor cells in mouse stomach and intestine at E11-12, E15-16, and E18-19 (Figure 2A, Supplementary Figure 3). Taken together, we identified and confirmed the expression of 73 novel transcription factors in the developing ENS. The expression of additionally 39 previously found transcription factors (Supplementary Table 6) was also confirmed, and in some cases included in the IHC expression analysis.
To address evolutionary conservation and directly bridge our findings to translational implementations, IHC analysis was performed in human embryonic gut at W5-6 (equivalent to ∼E12–E14) and W7-10 (equivalent to ∼E14.5–E17.5) (Figure 2A and C; Supplementary Figure 4). With very few exceptions, the transcription factors found in mouse ENS were also detected in the developing human ENS and with very similar expression dynamics (Figure 2C, Supplementary Figure 4). To view a comprehensive list of transcription factors expressed in the developing ENS (novel and previously known), see Supplementary Table 6.
Expression Dynamics of Transcription Factors of Key Developmental Gene Families
Based on the spatiotemporal expression patterns revealed by IHC, we subdivided the transcription factors into 4 groups characterized by (I) early and abundant; (II) early onset, mainly neuronal; (III) late onset, mainly neuronal; or (IV) highly selective expression dynamics (Figure 2A and C; Supplementary Figures 3 and 4). Expression pattern I likely represented genes controlling neurogenesis or generic aspects of ENS lineage differentiation. Expression patterns II and III suggested roles in neuronal differentiation, perhaps of specific sublineages. The selective expression of group IV transcription factors indicated roles in neuronal subtype differentiation.
Taking all transcription factors into account, a wide range of gene families was represented (Figure 2B). In particular, we uncovered many genes of the Sox (HMG-box) and Hox (homeo-box) families, which play key roles in diverse developmental processes.17, 18 SOX2, SOX8, and SOX10 already have defined functions in the ENS (Supplementary Table 6). The present screen identified 5 additional SOX proteins with distinct expression patterns at various stages (Figure 2D; Supplementary Figures 3 and 4). SOX6 belonged to group IV and is revisited later in this study. Expression of SOX5 largely coincided with progenitors akin to the previously described SOX genes (Figure 2A and D; Supplementary Figures 3 and 4), whereas SOX4, SOX9, and SOX11 also were detected in neurons. Our screen identified 9 Hox genes in addition to the 5 already reported Hox genes (Figure 2A, B, and E; Supplementary Figures 2–4; Supplementary Table 6). Notably, our analysis revealed that many of the Hox genes were exclusively expressed in differentiating neurons (Figure 2E).
In summary, our screen uncovered a large set of novel transcription factors, the gene family and expression dynamics indicating roles for generic or specific aspects within proliferating ENSCs and/or immature neurons.
Unique Combinatorial Expression of Transcription Factors in Enteric Neuronal Subtypes
To gain insights into the correlation between the newly identified transcription factors and neuronal subtypes, we next determined the colocalization pattern of 25 transcription factors with common neurotransmitter/peptide markers. Analysis at E18-19 revealed that 10 transcription factors showed selective expression with subsets of the marker proteins (Figure 3B), whereas others colocalized with all (Figure 3A). Taken together, the transcription factors constituted unique combinatorial codes for each neurotransmitter/peptide marker.
Most enteric neurotransmitters are used by several functionally distinct neuronal subclasses; however, dopamine is selectively produced in only subsets of enteric neurons.4 Dopamine neurons mature slowly, and at E18.5, only dopamine neurons of the stomach and not intestines have started to robustly express the indicative marker gene TH. The combinatorial expression code of the gastric TH+ neurons (Figure 3A and B) might therefore specifically define a single neuronal subtype, and included, for example, EBF1, MEIS2, ETV1, SATB1, KLF7, and SOX6 (Figure 3C).
Loss of Sox6 Impairs Development of Gastric TH+ Neurons
SOX6 colocalized with gastric TH+ neurons and only 2 other markers: CALB1 and NPY (Figure 3B and C; Figure 4B and C). SOX6 expression initiated at E11.5 in a small subset of SOX10+ progenitor cells, but gradually increased its to a higher proportion of cells (it was identified in S15vsS11) and coincided with HUC/D+ neurons at E15.5 (Figure 4A). Expression of SOX6 thus correlated well with the development of gastric dopamine neurons.
The neuronal subtypes of the stomach are poorly characterized. To gain insights to the combinatorial expression of gastric phenotypic markers, we performed pairwise IHC at E18.5. The analysis revealed that most NPY+ neurons displayed CALB1 expression (95%), whereas TH+ cells neither expressed NPY nor CALB1 (Figure 4D). Therefore, we concluded that SOX6 is expressed in 2 gastric subpopulations characterized by either TH or NPY/CALB1 expression.
To address the possible role of SOX6 in the generation of these neuronal subtypes, we analyzed Wnt1Cre × Sox6fl/fl embryos at E18.5. A conditional knockout approach was crucial to attribute possible alterations in ENS development to cell autonomous effects, as SOX6 expression also localized to the serosa and mucosa (Figure 4E). Of the markers normally coexpressed with SOX6, TH expression was drastically reduced (by 70%), whereas CALB1+ and NPY+ neurons were found in similar numbers in mutant and littermate control stomachs (Figure 4F, G, and I). The total numbers of HUC/D+ neurons or the unrelated phenotypic marker, VIP, were unchanged in Sox6 mutants in comparison with controls (Figure 4F–I). The reduction of TH+ neurons remained in the stomach of adult Sox6 mutant mice (Figure 4J), which also weighed 20% less than littermate control mice (Figure 4K). To determine the functional impact of Sox6 deletion on gastric motility, we performed a liquid gastric transit test, which showed a reduction in the rate of gastric emptying in Sox6 mutants compared with littermate controls (Figure 4M). Moreover, in Sox6 mutant mice with free access to food and drink, stomachs were enlarged with more contents than stomachs of littermate controls (Figure 4L). In conclusion, our analysis demonstrates that SOX6 expression is required for the specific generation of gastric TH+ neurons, with possible importance for normal gastric motility.
Identification of Signaling Ligands and Receptors in the Developing Gut Wall
We next characterized the signaling factors and receptors found to be enriched in the transcriptome comparisons (Figure 1E, Supplementary Tables 4 and 5). From the combined identified genes, the expression of 157 receptors and signaling factors was first analyzed in ISH images (Supplementary Table 7, Supplementary Figure 5). Additionally, we determined the expression of 19 signaling genes in relation to HUC/D+ neurons and SOX10+ progenitors in the stomach and intestine of mouse (at E11–12, E15–16, and E18–19) and human (at W6–11) embryos (Figure 5B and C, Supplementary Figures 6 and 7, Supplementary Table 7). In total, this screen identified and confirmed the novel expression of 74 ligands and receptors. A total of 82 previously described receptors and ligands in or around the ENS were additionally found, and in a few cases included in the IHC expression analysis. With few exceptions, all signaling factors confirmed in mouse were also detected in the developing human ENS (Supplementary Figure 7). To view a comprehensive list of signaling factors/receptors expressed in the developing ENS (novel and previously known), see Supplementary Table 7.
Novel Signaling Pathways During ENS Development
Nearly all signaling ligands and receptors previously shown to operate during ENS development were picked up by our screening strategy and belonged for example to the signaling pathways of bone morphogenetic protein (BMP), netrin (NTN), semaphorin (SEMA), and Wnt (Supplementary Table 7). In addition to previously reported components, we detected numerous novel molecules in these major signaling families. Special effort was made to reveal ligand-receptor pairs known to interact in other contexts and included BMP7-ACVR1a/ACVR2a, GDF10-ACVR1b/ACVR2a, NTNG1-LRRC4C, SEMA4d-PLXNB1, and WNT2b-LRP5/FZD3 (Figure 5A and B; Supplementary Figures 5–7). Furthermore, we found receptor-ligand expression indicative of 9 unreported signaling pathways: fibroblast growth factor (FGF), Activin A (Inhba dimers), transforming growth factor beta (TGFβ), chemokine (CXCL12), ephrin/Eph, insulin-like growth factor (IGF), fibronectin leucin rich transmembrane protein (FLRT), connective tissue growth factor (CTGF), and midkine (MDK) (Figure 5A–C; Supplementary Figures 5–7). Novel receptors with incomplete signaling characterization also were found and included in the analysis: leukocyte receptor tyrosine kinase (LTK) and aryl hydrocarbon receptor (AHR) (Figure 5A and C; Supplementary Figures 5–7). Taken together, we present signaling components indicative of 16 cell-cell communication pathways with unexplored roles in the developing ENS.
Candidate Regulatory Factors in Auto/Paracrine Signaling During ENS Development
The temporally ordered formation of specific neurons in correct proportions may be controlled by auto/paracrine signaling within the developing ENS.16 In light of this, it is noteworthy that 9 secreted ligands and many membrane-bound ligands were found to be produced by ENS cells (Figure 5B and C; more in Supplementary Table 7 and Supplementary Figure 5). The IHC analysis showed that most novel ligands were expressed throughout development (eg, CTGF), but several factors also displayed temporally patterned expressions: early to mid-stages (GDF10), mid-stages only (FGF1), or from mid- to late-stages (eg, MDK, Activin A) (Figure 6). In addition, some receptors showed regulated spatiotemporal expressions: AHR expression was limited to the colon between E15 and 18, whereas FGFR1 was expressed at all regions except for the colon, and SLITRK3 was found in neurons only at E15 to E18 (Figure 6).
Discussion
Recapitulation of developmental programs will be an important tool in future cell-engineering to treat enteric neuropathies. Through a comprehensive transcriptome and histochemical analysis in mouse and human developing ENS, we have here identified substantial numbers of transcription factors and signaling pathways with likely roles in stem cell maintenance/neurogenesis, neuronal specification/differentiation, and neural connectivity. A summary of key candidate genes with respect to plausible functions is depicted in Figure 7 and discussed as follows.
Candidate Transcription Factors in ENS Stem Cell Maintenance and Differentiation
To ensure functional ganglia along the full extent of the gut, the relatively small number of ENSCs must balance extensive expansion with differentiation. The expression dynamics of SOX4, 5, 9, and 11 shown here suggest that they complement the currently known set of SOX genes (2, 8, and 10) in the sequential differentiation process of ENS stem cells to neurons, akin to their intricate functions in the developing spinal cord.17 Other novel genes with likely regulatory roles in proliferation/neurogenesis include, for instance, the Nzf-family (Myt1l, Myt1, and St18) (Figure 7A).
Sox6, Dopamine Neurons, and Parkinson’s Disease
In the central nervous system, the set of transcription factors expressed in progenitor cells as they commence neurogenesis initiate a molecular program of subtype-specific differentiation.19 Several lines of evidence show that enteric neuron specification follows a similar mechanistic logic. First, the subtype fate of an enteric neuron depends on the time point when it was generated during embryogenesis.10 Second, clonal lineage-tracing indicates that progenitors undergoing their last cell cycle are fixed to a particular neuronal subfate.20 Corroborating these findings, our study uncovered that SOX6 expression correlates with dopamine neuron birth11 and is necessary for acquisition of the dopaminergic trait. The transcription factor ASCL1 also regulates generation of gastric dopamine neurons; however, several other neuronal subtypes as well.9 SOX6 is thus the first transcription factor linked to the generation of a single neuronal subtype in the developing ENS.
Within the midbrain, SOX6 is similarly important for the generation of substantia nigra dopamine neurons, and lower levels of SOX6 accompany the loss of these neurons in patients with Parkinson’s disease.21 Although Parkinson’s disease is classified as a movement disorder of the brain, most patients also suffer from GI dysfunction, including gastroparesis and constipation.22 Characteristic Parkinson pathology has been observed in TH+ (and vasoactive intestinal polypeptide–positive) enteric neurons, primarily in anterior gut regions.22 We note that the reduced numbers of TH+ gastric neurons and the gastric emptying phenotype in Sox6 mutant mice correlate well with these symptoms. Sophisticated solid gastric emptying tests and investigation of the lower-GI tract on large cohorts of Sox6 mutant mice could perhaps further delineate the role of TH+ neurons in gastrointestinal physiology. Mounting experimental evidence suggests that Parkinson pathology may initiate in the ENS and subsequently spread to the brain.22 TH+ gastric neurons may thus be relevant to understand early pathological events in Parkinson’s disease. We found a battery of genes, shared between gastric and brain dopamine neurons (Figure 3C),23, 24, 25, 26 indicating conservation of gene regulatory networks in different types of dopamine neurons, possibly forming a basis for further studies of dopamine neuron pathology.
Candidate Transcription Factors in ENS Cell Diversification
We identified Hox genes with an unanticipated expression in enteric neurons. Reminiscent of this, sets of Hox proteins are differentially expressed in spinal motor neuron subclasses, where they function in neuronal subtype differentiation, morphogenesis, and synaptic specificity.18 To impose differential transcriptional read-out, Hox proteins depend on the interaction with members of the 3 amino acid loop extension (TALE) family. Four TALE genes were found in the developing ENS (Pbx2, Pbx3, Meis2, and Pknox1). A gene network analysis predicted a high level of interactions between the ENS-expressed TALE and Hox proteins (Supplementary Figure 8). We therefore propose that combinatorial expression of various HOX and TALE proteins may contribute to the acquisition of subtype-specific features in enteric neurons.
Our transcriptome screen also identified, for example, Foxd1, Cux2, and Tbx20 as plausible regulators of enteric neuronal specification, and Atoh1 and Runx1 in postmitotic subtype differentiation (Figure 7A). Even promiscuously expressed transcription factors (eg, Onecut2 and Hmx1) may contribute to differentiation programs in various enteric neuronal subtypes by forming distinct combinatorial expression patterns.
Candidate Signaling Pathways Mediating Autonomous Development of the ENS
This study demonstrates several signaling pathways with plausible roles in the fine-tuned orchestration of proliferation, neurogenesis, neuronal diversification, and network formation, which are needed for establishment of functional enteric networks (Figure 7B).
IGF1, LTK, AHR, MDK, GDF10, Activin A, and NRG1 have been attributed neurotrophic, gliogenic, or neurogenic activities in developing nervous tissue.27, 28, 29, 30, 31, 32, 33 Thus, our identification of these signaling factors within the developing ENS indicates that immature enteric neurons could play an active role in controlling generation of the appropriate numbers and ratio of glia and neurons (Figure 7B).
The idea that phenotypically distinct neurons are generated in a temporally defined manner currently lacks a clear underlying molecular mechanism. One hypothesis states that ENS diversity is governed by self-regulatory mechanisms where early-born neurons would affect the genesis of later-born neurons.16 Among identified factors, FGF, TGFβ, and BMP7 have important instructive roles during the sequential generation of neuronal subtypes in other developing tissues,34, 35, 36 and are thus prime candidates as auto/paracrine regulators of ENS diversification (Figure 7B). Cell fate also can be influenced in a temporal manner by differential expression of modulatory proteins. CTGF is a modulatory factor that can adjust TGFβ and BMP7 signaling,37 whereas INHA forms inhibitory dimers with INHBA, thus preventing Activin A signaling.38 It is therefore possible that the differential levels of CTGF and INHA expression found in the ENS (Supplementary Figures 6 and 7) bestows ENS subpopulations a means to modify their response to signaling ligands.
Establishment of fine-tuned connectivity patterns of appropriate synapses is required for the functionality of enteric networks. Recent studies of brain development have implicated SEMA4d-PLXNB1, NTNG1-LRRC4C, SLITRK2-PTPRO, SLITRK3-PTPRD, and FLRT–LPHN/UNC5D in the formation of selective synapses.39, 40, 41, 42, 43 Our identification of these signaling molecules in the developing ENS thus provides novel candidate genes with likely roles in mediating precise synaptic connections during enteric circuit formation.
Future Treatments of Enteric Neuropathies
Cell-based regenerative medicine is considered a promising future therapeutic approach for Hirschsprung disease, but may initially be more applicable for disorders in which small phenotypic changes underlie ENS dysfunction.2 Substantial progress has been made in deriving ENSCs that can survive, proliferate, and migrate on transplantation; however, the challenge of controlling neuronal differentiation remains. We have here aspired to provide an extensive expression pattern resource of mouse and human developing ENS for basic understanding of ENS diversification and implementation in translational studies. The important role of Sox6 for gastric dopamine neurons encourages further exploration of this and other identified genes (Figure 7) for their possible capacity to influence subtype-specific or other aspects of ENS cell development; abilities that could advance the engineering of clinically relevant ENS cells. Notably, the expression signature of in vitro–derived ENS stem cells3 contained many of the genes we describe (eg, Tlx3, Hoxb2, and Tbx2). Cross-comparisons to our histological gene expression maps could therefore provide valuable insights into the cellular composition and maturity stage of human ENS cell cultures, being essential for further development of this tool.
Acknowledgments
We acknowledge Marjan Abbassi and Lynn Pieters for laboratory assistance, Graham Preece for technical expertise, and Dr Ruth Palmer for discussions. We also thank Prof Patrik Ernfors, Dr Marlene Hao, and Dr Reena Lasrado for constructive comments on the manuscript.
Present affiliation of Rebecca Sadler: Institut für Schlaganfall- und Demenzforschung, Klinikum der Universität München, D-81377 Munich, Germany; and present affiliation of Catia Laranjeira: Fundacao para a Ciencia e Tecnologia, Unidade FCCN – Computacao Cientifica Nacional, 1700–066 Lisboa, Portugal.
Footnotes
Conflicts of interest The authors disclose no conflicts.
Funding This work was supported by the Knut and Alice Wallenberg FoundationKAW2008.0123, Swedish Research Council (VR) 521–2012–1676, EMBO, Swedish Medical Society (SLS), Ruth and Richard Julin Foundation, Magnus Bergvall Foundation, Ollie och Elof Ericssons Foundation, Åke Wiberg Foundation and Swedish Society for Medical Research. V.P. acknowledges the support of the UK Medical Research Council (MRC) and the Francis Crick Institute (which receives funding from MRC, Cancer Research UK, and the Wellcome Trust). Prof. Veronique Lefebvre generously contributed Sox6fl mice. Human embryonic and fetal tissue was provided by the KI Stem Cell and Tissue Bank.
Author names in bold designate shared co-first authorship.
Note: To access the supplementary material accompanying this article, visit the online version of Gastroenterology at www.gastrojournal.org, and at https://doi.org/10.1053/j.gastro.2017.10.005.
Supplementary Material
References
- 1.Furness J.B. The enteric nervous system and neurogastroenterology. Nat Rev Gastroenterol Hepatol. 2012;9:286–294. doi: 10.1038/nrgastro.2012.32. [DOI] [PubMed] [Google Scholar]
- 2.Burns A.J., Goldstein A.M., Newgreen D.F. White paper on guidelines concerning enteric nervous system stem cell therapy for enteric neuropathies. Dev Biol. 2016;417:229–251. doi: 10.1016/j.ydbio.2016.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fattahi F., Steinbeck J.A., Kriks S. Deriving human ENS lineages for cell therapy and drug discovery in Hirschsprung disease. Nature. 2016;531:105–109. doi: 10.1038/nature16951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hao M.M., Young H.M. Development of enteric neuron diversity. J Cell Mol Med. 2009;13:1193–1210. doi: 10.1111/j.1582-4934.2009.00813.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Nagy N., Goldstein A.M. Enteric nervous system development: a crest cell's journey from neural tube to colon. Semin Cell Dev Biol. 2017;66:94–106. doi: 10.1016/j.semcdb.2017.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Laranjeira C., Sandgren K., Kessaris N. Glial cells in the mouse enteric nervous system can undergo neurogenesis in response to injury. J Clin Invest. 2011;121:3412–3424. doi: 10.1172/JCI58200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hegarty S.V., Sullivan A.M., O'Keeffe G.W. Midbrain dopaminergic neurons: a review of the molecular circuitry that regulates their development. Dev Biol. 2013;379:123–138. doi: 10.1016/j.ydbio.2013.04.014. [DOI] [PubMed] [Google Scholar]
- 8.Bondurand N., Southard-Smith E.M. Mouse models of Hirschsprung disease and other developmental disorders of the enteric nervous system: old and new players. Dev Biol. 2016;417:139–157. doi: 10.1016/j.ydbio.2016.06.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Memic F., Knoflach V., Sadler R. Ascl1 is required for the development of specific neuronal subtypes in the enteric nervous system. J Neurosci. 2016;36:4339–4350. doi: 10.1523/JNEUROSCI.0202-16.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Pham T.D., Gershon M.D., Rothman T.P. Time of origin of neurons in the murine enteric nervous system: sequence in relation to phenotype. J Comp Neurol. 1991;314:789–798. doi: 10.1002/cne.903140411. [DOI] [PubMed] [Google Scholar]
- 11.Bergner A.J., Stamp L.A., Gonsalvez D.G. Birthdating of myenteric neuron subtypes in the small intestine of the mouse. J Comp Neurol. 2014;522:514–527. doi: 10.1002/cne.23423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Danielian P.S., Muccino D., Rowitch D.H. Modification of gene activity in mouse embryos in utero by a tamoxifen-inducible form of Cre recombinase. Curr Biol. 1998;8:1323–1326. doi: 10.1016/s0960-9822(07)00562-3. [DOI] [PubMed] [Google Scholar]
- 13.Srinivas S., Watanabe T., Lin C.S. Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus. BMC Dev Biol. 2001;1:4. doi: 10.1186/1471-213X-1-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dumitriu B., Dy P., Smits P. Generation of mice harboring a Sox6 conditional null allele. Genesis. 2006;44:219–224. doi: 10.1002/dvg.20210. [DOI] [PubMed] [Google Scholar]
- 15.Huang da W., Sherman B.T., Lempicki R.A. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009;37:1–13. doi: 10.1093/nar/gkn923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Li Z., Chalazonitis A., Huang Y.Y. Essential roles of enteric neuronal serotonin in gastrointestinal motility and the development/survival of enteric dopaminergic neurons. J Neurosci. 2011;31:8998–9009. doi: 10.1523/JNEUROSCI.6684-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kiefer J.C. Back to basics: Sox genes. Dev Dyn. 2007;236:2356–2366. doi: 10.1002/dvdy.21218. [DOI] [PubMed] [Google Scholar]
- 18.Philippidou P., Dasen J.S. Hox genes: choreographers in neural development, architects of circuit organization. Neuron. 2013;80:12–34. doi: 10.1016/j.neuron.2013.09.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Briscoe J., Pierani A., Jessell T.M. A homeodomain protein code specifies progenitor cell identity and neuronal fate in the ventral neural tube. Cell. 2000;101:435–445. doi: 10.1016/s0092-8674(00)80853-3. [DOI] [PubMed] [Google Scholar]
- 20.Lasrado R., Boesmans W., Kleinjung J. Lineage-dependent spatial and functional organization of the mammalian enteric nervous system. Science. 2017;356:722–726. doi: 10.1126/science.aam7511. [DOI] [PubMed] [Google Scholar]
- 21.Panman L., Papathanou M., Laguna A. Sox6 and Otx2 control the specification of substantia nigra and ventral tegmental area dopamine neurons. Cell Rep. 2014;8:1018–1025. doi: 10.1016/j.celrep.2014.07.016. [DOI] [PubMed] [Google Scholar]
- 22.Fasano A., Visanji N.P., Liu L.W. Gastrointestinal dysfunction in Parkinson's disease. Lancet Neurol. 2015;14:625–639. doi: 10.1016/S1474-4422(15)00007-1. [DOI] [PubMed] [Google Scholar]
- 23.Allen Z.J., 2nd, Waclaw R.R., Colbert M.C. Molecular identity of olfactory bulb interneurons: transcriptional codes of periglomerular neuron subtypes. J Mol Histol. 2007;38:517–525. doi: 10.1007/s10735-007-9115-4. [DOI] [PubMed] [Google Scholar]
- 24.Caiazzo M., Colucci-D'Amato L., Volpicelli F. Kruppel-like factor 7 is required for olfactory bulb dopaminergic neuron development. Exp Cell Res. 2011;317:464–473. doi: 10.1016/j.yexcr.2010.11.006. [DOI] [PubMed] [Google Scholar]
- 25.Kee N., Volakakis N., Kirkeby A. Single-cell analysis reveals a close relationship between differentiating dopamine and subthalamic nucleus neuronal lineages. Cell Stem Cell. 2017;20:29–40. doi: 10.1016/j.stem.2016.10.003. [DOI] [PubMed] [Google Scholar]
- 26.Yin M., Liu S., Yin Y. Ventral mesencephalon-enriched genes that regulate the development of dopaminergic neurons in vivo. J Neurosci. 2009;29:5170–5182. doi: 10.1523/JNEUROSCI.5569-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chalazonitis A., D'Autreaux F., Pham T.D. Bone morphogenetic proteins regulate enteric gliogenesis by modulating ErbB3 signaling. Dev Biol. 2011;350:64–79. doi: 10.1016/j.ydbio.2010.11.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Davis A.A., Matzuk M.M., Reh T.A. Activin A promotes progenitor differentiation into photoreceptors in rodent retina. Mol Cell Neurosci. 2000;15:11–21. doi: 10.1006/mcne.1999.0806. [DOI] [PubMed] [Google Scholar]
- 29.Dever D.P., Adham Z.O., Thompson B. Aryl hydrocarbon receptor deletion in cerebellar granule neuron precursors impairs neurogenesis. Dev Neurobiol. 2016;76:533–550. doi: 10.1002/dneu.22330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Fadeev A., Krauss J., Singh A.P. Zebrafish leucocyte tyrosine kinase controls iridophore establishment, proliferation and survival. Pigment Cell Melanoma Res. 2016;29:284–296. doi: 10.1111/pcmr.12454. [DOI] [PubMed] [Google Scholar]
- 31.Li S., Nie E.H., Yin Y. GDF10 is a signal for axonal sprouting and functional recovery after stroke. Nat Neurosci. 2015;18:1737–1745. doi: 10.1038/nn.4146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Liu J., Speder P., Brand A.H. Control of brain development and homeostasis by local and systemic insulin signalling. Diabetes Obes Metab. 2014;16(Suppl 1):16–20. doi: 10.1111/dom.12337. [DOI] [PubMed] [Google Scholar]
- 33.Xu C., Zhu S., Wu M. Functional receptors and intracellular signal pathways of midkine (MK) and pleiotrophin (PTN) Biol Pharm Bull. 2014;37:511–520. doi: 10.1248/bpb.b13-00845. [DOI] [PubMed] [Google Scholar]
- 34.Dias J.M., Alekseenko Z., Applequist J.M. Tgfbeta signaling regulates temporal neurogenesis and potency of neural stem cells in the CNS. Neuron. 2014;84:927–939. doi: 10.1016/j.neuron.2014.10.033. [DOI] [PubMed] [Google Scholar]
- 35.Hadjab S., Franck M.C., Wang Y. A local source of FGF initiates development of the unmyelinated lineage of sensory neurons. J Neurosci. 2013;33:17656–17666. doi: 10.1523/JNEUROSCI.1090-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ohyama K., Ellis P., Kimura S. Directed differentiation of neural cells to hypothalamic dopaminergic neurons. Development. 2005;132:5185–5197. doi: 10.1242/dev.02094. [DOI] [PubMed] [Google Scholar]
- 37.Mason R.M. Connective tissue growth factor (CCN2), a pathogenic factor in diabetic nephropathy. What does it do? How does it do it? J Cell Commun Signal. 2009;3:95–104. doi: 10.1007/s12079-009-0038-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Namwanje M., Brown C.W. Activins and inhibins: roles in development, physiology, and disease. Cold Spring Harb Perspect Biol. 2016;8(7) doi: 10.1101/cshperspect.a021881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Beaubien F., Raja R., Kennedy T.E. Slitrk1 is localized to excitatory synapses and promotes their development. Sci Rep. 2016;6:27343. doi: 10.1038/srep27343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Jackson V.A., Mehmood S., Chavent M. Super-complexes of adhesion GPCRs and neural guidance receptors. Nat Commun. 2016;7:11184. doi: 10.1038/ncomms11184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kuzirian M.S., Moore A.R., Staudenmaier E.K. The class 4 semaphorin Sema4D promotes the rapid assembly of GABAergic synapses in rodent hippocampus. J Neurosci. 2013;33:8961–8973. doi: 10.1523/JNEUROSCI.0989-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Takahashi H., Katayama K., Sohya K. Selective control of inhibitory synapse development by Slitrk3-PTPdelta trans-synaptic interaction. Nat Neurosci. 2012;15:389–398. doi: 10.1038/nn.3040. S1–S2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Woo J., Kwon S.K., Kim E. The NGL family of leucine-rich repeat-containing synaptic adhesion molecules. Mol Cell Neurosci. 2009;42:1–10. doi: 10.1016/j.mcn.2009.05.008. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The microarray data have been submitted to the GEO database (http://www.ncbi.nlm.nih.gov/geo/) and assigned the identifier GSE100130.