Abstract
The enteric nervous system (ENS) is an extensive network of enteric neurons and glial cells that is intrinsic to the gut wall and regulates almost all aspects of intestinal physiology. While considerable advancement has been made in understanding the genetic programs regulating ENS development, there is limited understanding of the molecular pathways that control ENS function in adult stages. One of the limitations in advancing the molecular characterization of the adult ENS relates to technical difficulties in purifying healthy neurons and glia from adult intestinal tissues. To overcome this, we developed novel methods for performing transcriptomic analysis of enteric neurons and glia, which are based on the isolation of fluorescently labeled nuclei. Here we provide a step-by-step protocol for the labeling of adult mouse enteric neuronal nuclei using adeno-associated-virus-mediated gene transfer, isolation of the labeled nuclei by fluorimetric analysis, RNA purification and nuclear RNA sequencing. This protocol has also been adapted for the isolation of enteric neuron and glia nuclei from myenteric plexus preparations from adult zebrafish intestine. Finally, we describe a method for visualization and quantification of RNA in myenteric ganglia: Spatial Integration of Granular Nuclear Signals (SIGNS). By following this protocol, it takes ~3 d to generate RNA and create cDNA libraries for nuclear RNA sequencing and 4 d to carry out high-resolution RNA expression analysis on ENS tissues.
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Data availability
Mouse nRNA-seq data are available at Gene Expression Omnibus (GEO) under accession numbers GSE140293. Data describing the transcriptome of ENS nuclei isolated from adult zebrafish gut tissue are available at GEO (GSE145885) or online (https://biologic.crick.ac.uk/ENS). Source data are provided with this paper.
Code availability
Code for quantification of imaging data using SIGNS available at https://github.com/FrancisCrickInstitute/Pachnis-lab/tree/master/Neuronal-programming-Nature/Project%20Code and citable as https://doi.org/10.5281/zenodo.5817674 (ref. 53).
References
Rao, M. & Gershon, M. D. The bowel and beyond: the enteric nervous system in neurological disorders. Nat. Rev. Gastroenterol. Hepatol. 13, 517–528 (2016).
Furness, J. B. The enteric nervous system and neurogastroenterology. Nat. Rev. Gastroenterol. Hepatol. 9, 286–294 (2012).
Yoo, B. B. & Mazmanian, S. K. The enteric network: interactions between the immune and nervous systems of the gut. Immunity 46, 910–926 (2017).
Spencer, N. J. & Hu, H. Enteric nervous system: sensory transduction, neural circuits and gastrointestinal motility. Nat. Rev. Gastroenterol. Hepatol. 17, 338–351 (2020).
Rao, M. & Gershon, M. D. Enteric nervous system development: what could possibly go wrong? Nat. Rev. Neurosci. 19, 552–565 (2018).
Obata, Y. et al. Neuronal programming by microbiota regulates intestinal physiology. Nature 578, 284–289 (2020).
McCallum, S. et al. Enteric glia as a source of neural progenitors in adult zebrafish. eLife 9, e56086 (2020).
Wright, C. M. et al. scRNA-seq reveals new enteric nervous system roles for GDNF, NRTN, and TBX3. Cell Mol. Gastroenterol. Hepatol. 11, 1548–1592.e1 (2021).
Drokhlyansky, E. et al. The human and mouse enteric nervous system at single-cell resolution. Cell 182, 1606–1622 e1623 (2020).
May-Zhang, A. A. et al. Combinatorial transcriptional profiling of mouse and human enteric neurons identifies shared and disparate subtypes in situ. Gastroenterology 160, 755–770 e726 (2021).
Gombash, S. E. et al. Intravenous AAV9 efficiently transduces myenteric neurons in neonate and juvenile mice. Front. Mol. Neurosci. 7, 81 (2014).
Wilhelmsen, K., Ketema, M., Truong, H. & Sonnenberg, A. KASH-domain proteins in nuclear migration, anchorage and other processes. J. Cell Sci. 119, 5021–5029 (2006).
van den Pol, A. N. et al. Viral strategies for studying the brain, including a replication-restricted self-amplifying delta-G vesicular stomatis virus that rapidly expresses transgenes in brain and can generate a multicolor golgi-like expression. J. Comp. Neurol. 516, 456–481 (2009).
Lasrado, R. et al. Lineage-dependent spatial and functional organization of the mammalian enteric nervous system. Science 356, 722–726 (2017).
Roy-Carson, S. et al. Defining the transcriptomic landscape of the developing enteric nervous system and its cellular environment. BMC Genomics 18, 290 (2017).
Zeisel, A. et al. Molecular architecture of the mouse nervous system. Cell 174, 999–1014 e1022 (2018).
Memic, F. et al. Transcription and signaling regulators in developing neuronal subtypes of mouse and human enteric nervous system. Gastroenterology 154, 624–636 (2018).
Lau, S. T. et al. Activation of Hedgehog signaling promotes development of mouse and human enteric neural crest cells, based on single-cell transcriptome analyses. Gastroenterology 157, 1556–1571 e1555 (2019).
Morarach, K. et al. Diversification of molecularly defined myenteric neuron classes revealed by single-cell RNA sequencing. Nat. Neurosci. 24, 34–46 (2021).
Howard, A. G. T. et al. An atlas of neural crest lineages along the posterior developing zebrafish at single-cell resolution. eLife 10, e60005 (2021).
van den Brink, S. C. et al. Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations. Nat. Methods 14, 935–936 (2017).
Piwnicka, M., Darzynkiewicz, Z. & Melamed, M. R. RNA and DNA content of isolated cell nuclei measured by multiparameter flow cytometry. Cytometry 3, 269–275 (1983).
Slyper, M. et al. A single-cell and single-nucleus RNA-seq toolbox for fresh and frozen human tumors. Nat. Med. 26, 792–802 (2020).
Taylor, C. R., Montagne, W. A., Eisen, J. S. & Ganz, J. Molecular fingerprinting delineates progenitor populations in the developing zebrafish enteric nervous system. Dev. Dyn. 245, 1081–1096 (2016).
Carney, T. J. et al. A direct role for Sox10 in specification of neural crest-derived sensory neurons. Development 133, 4619–4630 (2006).
El-Nachef, W. N. & Bronner, M. E. De novo enteric neurogenesis in post-embryonic zebrafish from Schwann cell precursors rather than resident cell types. Development 147, dev186619 (2020).
Rodrigues, F. S., Doughton, G., Yang, B. & Kelsh, R. N. A novel transgenic line using the Cre-lox system to allow permanent lineage-labeling of the zebrafish neural crest. Genesis 50, 750–757 (2012).
Wang, Y., Rovira, M., Yusuff, S. & Parsons, M. J. Genetic inducible fate mapping in larval zebrafish reveals origins of adult insulin-producing beta-cells. Development 138, 609–617 (2011).
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
McQuin, C. et al. CellProfiler 3.0: next-generation image processing for biology. PLoS Biol. 16, e2005970 (2018).
Shah, S. et al. Single-molecule RNA detection at depth by hybridization chain reaction and tissue hydrogel embedding and clearing. Development 143, 2862–2867 (2016).
Long, X., Colonell, J., Wong, A. M., Singer, R. H. & Lionnet, T. Quantitative mRNA imaging throughout the entire Drosophila brain. Nat. Methods 14, 703–706 (2017).
Maynard, K. R. et al. dotdotdot: an automated approach to quantify multiplex single molecule fluorescent in situ hybridization (smFISH) images in complex tissues. Nucleic Acids Res. 48, e66 (2020).
Pharris, M. C. et al. An automated workflow for quantifying RNA transcripts in individual cells in large data-sets. MethodsX 4, 279–288 (2017).
Foust, K. D. et al. Intravascular AAV9 preferentially targets neonatal neurons and adult astrocytes. Nat. Biotechnol. 27, 59–65 (2009).
Chan, K. Y. et al. Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems. Nat. Neurosci. 20, 1172–1179 (2017).
B. B. Yoo et al. Neuronal activation of the gastrointestinal tract shapes the gut environment in mice. Preprint at bioRxiv https://doi.org/10.1101/2021.04.12.439539 (2021).
Gabanyi, I. et al. Neuro-immune interactions drive tissue programming in intestinal macrophages. Cell 164, 378–391 (2016).
Yan, Y. et al. Interleukin-6 produced by enteric neurons regulates the number and phenotype of microbe-responsive regulatory T cells in the gut. Immunity 54, 499–513 e495 (2021).
Jarret, A. et al. Enteric nervous system-derived IL-18 orchestrates mucosal barrier immunity. Cell 180, 50–63 e12 (2020).
Muller, P. A. et al. Microbiota-modulated CART+ enteric neurons autonomously regulate blood glucose. Science 370, 314–321 (2020).
Laranjeira, C. et al. Glial cells in the mouse enteric nervous system can undergo neurogenesis in response to injury. J. Clin. Invest. 121, 3412–3424 (2011).
Grindberg, R. V. et al. RNA-sequencing from single nuclei. Proc. Natl Acad. Sci. USA 110, 19802–19807 (2013).
Lacar, B. et al. Nuclear RNA-seq of single neurons reveals molecular signatures of activation. Nat. Commun. 7, 11022 (2016).
Stark, R., Grzelak, M. & Hadfield, J. RNA sequencing: the teenage years. Nat. Rev. Genet. 20, 631–656 (2019).
Kamentsky, L. et al. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinformatics 27, 1179–1180 (2011).
Krishnaswami, S. R. et al. Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons. Nat. Protoc. 11, 499–524 (2016).
Heanue, T. A. & Pachnis, V. Enteric nervous system development and Hirschsprung’s disease: advances in genetic and stem cell studies. Nat. Rev. Neurosci. 8, 466–479 (2007).
Avetisyan, M. et al. Hepatocyte growth factor and MET support mouse enteric nervous system development, the peristaltic response, and intestinal epithelial proliferation in response to injury. J. Neurosci. 35, 11543–11558 (2015).
Barrenschee, M. et al. Site-specific gene expression and localization of growth factor ligand receptors RET, GFRα1 and GFRα2 in human adult colon. Cell Tissue Res. 354, 371–380 (2013).
Hoogerwerf, W. A. et al. Clock gene expression in the murine gastrointestinal tract: endogenous rhythmicity and effects of a feeding regimen. Gastroenterology 133, 1250–1260 (2007).
Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl Acad. Sci. USA 102, 15545–15550 (2005).
Obata, Y. et al. Molecular profiling of enteric nervous system cell lineages. Zenodo https://doi.org/10.5281/zenodo.5817674 (2021).
Acknowledgements
We thank the Crick Science Technology Platforms for expert support. We thank J. Brock for scientific illustration. We also thank all members of the Pachnis lab for insightful discussions and experimental support and advice. We also thank A. Murray (Sainsbury Wellcome Centre, University College London) for experimental support and advice for generating AAV vectors. Y.O. was supported by an EMBO long-term fellowship (ALTF 1214-2015), an HFSP postdoctoral fellowship (LT000176/2016), the travel grants from Boehringer Ingelheim Fonds and the Society for Mucosal Immunology (SMI), and the Japanese Society for the promotion of Science (JSPS) Grants-in-Aid for Scientific Research (20K16951). Work in the Pachnis lab is funded by the Francis Crick Institute, which receives core funding from Cancer Research UK (FC001128), the UK Medical Research Council (FC001128) and the Wellcome Trust (FC001128). We also acknowledge additional funding from the BBSRC (BB/L022974) and a Wellcome Trust Investigator Award (212300/Z/18/Z).
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Contributions
Y.O. and V.P. conceived the study. Y.O. developed the method for the targeting and isolation of enteric neuronal nuclei from mouse gut with help from A.C.B.-F.; Y.O., T.A.H. and S.M. applied the protocol for zebrafish ENS study. Y.O., A.C.B.-F., S.M. and T.A.H. performed the experiments. R.L. performed initial RNAscope optimization. Á.C. performed further RNA optimization, and Á.C. and T.A.H. performed the RNAscope in situ hybridization experiments; T.L.F. developed the SIGNS method and helped with the quantification of RNAscope data; A.H. prepared the cDNA library for the bulk nRNA-seq. S.B. performed bioinformatics analysis. Y.O. and T.A.H. wrote the manuscript with help from A.C., and contributions from all authors.
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Nature Protocols thanks Isaac Chiu and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Key references using this protocol
Obata, Y. et al. Nature 578, 284–289 (2020): https://doi.org/10.1038/s41586-020-1975-8
McCallum, S. et al. eLife 9, e56086 (2020): https://doi.org/10.7554/eLife.56086
Supplementary information
Supplementary Information
Supplementary Figs. 1–3.
Source data
Source Data Fig. 4
Neuronal gene expression analysis
Source Data Fig. 5
Quantification of RNA scope signals per individual neuron
Source Data Fig. 6
RNA scope data quantification
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Obata, Y., Castaño, Á., Fallesen, T.L. et al. Molecular profiling of enteric nervous system cell lineages. Nat Protoc 17, 1789–1817 (2022). https://doi.org/10.1038/s41596-022-00697-4
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DOI: https://doi.org/10.1038/s41596-022-00697-4
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