Structural Remodeling of the Human Colonic Mesenchyme in Inflammatory Bowel Disease
Open accessAbstract
Intestinal mesenchymal cells play essential roles in epithelial homeostasis, matrix remodeling, immunity, and inflammation. But the extent of heterogeneity within the colonic mesenchyme in these processes remains unknown. Using unbiased single-cell profiling of over 16,500 colonic mesenchymal cells, we reveal four subsets of fibroblasts expressing divergent transcriptional regulators and functional pathways, in addition to pericytes and myofibroblasts. We identified a niche population located in proximity to epithelial crypts expressing SOX6, F3 (CD142), and WNT genes essential for colonic epithelial stem cell function. In colitis, we observed dysregulation of this niche and emergence of an activated mesenchymal population. This subset expressed TNF superfamily member 14 (TNFSF14), fibroblastic reticular cell-associated genes, IL-33, and Lysyl oxidases. Further, it induced factors that impaired epithelial proliferation and maturation and contributed to oxidative stress and disease severity in vivo. Our work defines how the colonic mesenchyme remodels to fuel inflammation and barrier dysfunction in IBD.
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Cites
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · see citing works
HISAT: a fast spliced aligner with low memory requirements
Kim, D., Langmead, B., & Salzberg, S. L. (2015) · Nature Methods · doi:10.1038/nmeth.3317 · Cited by 24,112 · see citing works
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594 · see citing works
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697 · see citing works
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288 · see citing works
MultiQC: summarize analysis results for multiple tools and samples in a single report
Ewels, P., Magnusson, M., Lundin, S., & Käller, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw354 · Cited by 10,143 · see citing works
Building Predictive Models in R Using the caret Package
Kühn, M. (2008) · Journal of Statistical Software · doi:10.18637/jss.v028.i05 · Cited by 9,986 · see citing works
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658 · see citing works
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · see citing works
Sato, T., Stange, D. E., Ferrante, M., Vries, R. G. J., van Es, J. H., van den Brink, S., van Houdt, W. J., Pronk, A., van Gorp, J., Siersema, P. D., et al. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.07.050 · Cited by 3,753 · see citing works
Organoid Models and Applications in Biomedical Research
Xinaris, C., Brizi, V., & Remuzzi, G. (2015) · The Nephron journals/Nephron journals · doi:10.1159/000433566 · Cited by 3,517 · see citing works
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Haghverdi, L., Lun, A. T. L., Morgan, M. D., & Marioni, J. C. (2018) · Nature Biotechnology · doi:10.1038/nbt.4091 · Cited by 2,416 · see citing works
Normalization of RNA-seq data using factor analysis of control genes or samples
Risso, D., Ngai, J., Speed, T. P., & Dudoit, S. (2014) · Nature Biotechnology · doi:10.1038/nbt.2931 · Cited by 2,169 · see citing works
McCarthy, D. J., Campbell, K. R., Lun, A. T. L., & Wills, Q. F. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw777 · Cited by 1,852 · see citing works
Self-citationA flexible R package for nonnegative matrix factorization
Gaujoux, R., & Seoighe, C. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-367 · Cited by 1,554 · see citing works
Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads
Jiang, H., Lei, R., Ding, S., & Zhu, S. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-182 · Cited by 1,525 · see citing works
Mesenchymal Stromal Cells: Sensors and Switchers of Inflammation
Bernardo, M. E., & Fibbe, W. E. (2013) · Cell stem cell · doi:10.1016/j.stem.2013.09.006 · Cited by 1,389 · see citing works
Adult intestinal stem cells: critical drivers of epithelial homeostasis and regeneration
Barker, N. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3721 · Cited by 1,334 · see citing works
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
L. Lun, A. T., Bach, K., & Marioni, J. C. (2016) · Genome Biology · doi:10.1186/s13059-016-0947-7 · Cited by 1,108 · see citing works
Intestinal label-retaining cells are secretory precursors expressing Lgr5
Buczacki, S. J. A., Zecchini, H. I., Nicholson, A. M., Russell, R., Vermeulen, L., Kemp, R., & Winton, D. J. (2013) · Nature · doi:10.1038/nature11965 · Cited by 761 · see citing works
<i>destiny</i> : diffusion maps for large-scale single-cell data in R
Angerer, P., Haghverdi, L., Büttner, M., Theis, F. J., Marr, C., & Buettner, F. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv715 · Cited by 640 · see citing works
Bao, S., Ouyang, G., Bai, X., Huang, Z., Ma, C., Liu, M., Shao, R., Anderson, R. M., Rich, J. N., & Wang, X.-F. (2004) · Cancer Cell · doi:10.1016/s1535-6108(04)00081-9 · Cited by 561 · see citing works
Subepithelial telocytes are an important source of Wnts that supports intestinal crypts
Shoshkes-Carmel, M., Wang, Y. J., Wangensteen, K. J., Tóth, B., Kondo, A., Massasa, E. E., Itzkovitz, S., & Kaestner, K. H. (2018) · Nature · doi:10.1038/s41586-018-0084-4 · Cited by 519 · see citing works
Lysyl oxidases: A novel multifunctional amine oxidase family
Csiszar, K. (2001) · Progress in nucleic acid research and molecular biology · doi:10.1016/s0079-6603(01)70012-8 · Cited by 514 · see citing works
Wnt5a Potentiates TGF-β Signaling to Promote Colonic Crypt Regeneration After Tissue Injury
Miyoshi, H., Ajima, R., Luo, C. T., Yamaguchi, T. P., & Stappenbeck, T. S. (2012) · Science · doi:10.1126/science.1223821 · Cited by 470 · see citing works
Data Mining With R: Learning By Case Studies
Torgo, L. (2010) · Cited by 398 · see citing works
Computational assignment of cell-cycle stage from single-cell transcriptome data
Scialdone, A., Natarajan, K. N., Saraiva, L. R., Proserpio, V., Teichmann, S. A., Stegle, O., Marioni, J. C., & Buettner, F. (2015) · Methods · doi:10.1016/j.ymeth.2015.06.021 · Cited by 386 · see citing works
GLI1-expressing mesenchymal cells form the essential Wnt-secreting niche for colon stem cells
Değirmenci, B., Valenta, T., Dimitrieva, S., Hausmann, G., & Basler, K. (2018) · Nature · doi:10.1038/s41586-018-0190-3 · Cited by 381 · see citing works
The serosal mesothelium is a major source of smooth muscle cells of the gut vasculature
Wilm, B., Ipenberg, A., Hastie, N., Burch, J., & Bader, D. (2005) · Development · doi:10.1242/dev.02141 · Cited by 328 · see citing works
Foxl1-Expressing Mesenchymal Cells Constitute the Intestinal Stem Cell Niche
Aoki, R., Shoshkes-Carmel, M., Gao, N., Shin, S., May, C. L., Golson, M. L., Zahm, A. M., Ray, M., Wiser, C. L., Wright, C. V. E., et al. (2015) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2015.12.004 · Cited by 275 · see citing works
Brown, S. L., Riehl, T. E., Walker, M. R., Geske, M. J., Doherty, J. M., Stenson, W. F., & Stappenbeck, T. S. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29159 · Cited by 263 · see citing works
Regional variation in gene expression in the healthy colon is dysregulated in ulcerative colitis
Noble, C. L., Abbas, A. R., Cornelius, J., Lees, C. W., Ho, G., Toy, K. J., Modrusan, Z. D., Pal, N., Zhong, F. L., Chalasani, S., et al. (2008) · Gut · doi:10.1136/gut.2008.148395 · Cited by 205 · see citing works
Fibroblasts and myofibroblasts of the intestinal lamina propria in physiology and disease
Roulis, M., & Flavell, R. A. (2016) · Differentiation · doi:10.1016/j.diff.2016.05.002 · Cited by 204 · see citing works
Nowarski, R., Jackson, R., & Flavell, R. A. (2017) · Cell · doi:10.1016/j.cell.2016.11.040 · Cited by 191 · see citing works
Rinkevich, Y., Mori, T., Sahoo, D., Xu, P., Bermingham, J. R., & Weissman, I. L. (2012) · Nature Cell Biology · doi:10.1038/ncb2610 · Cited by 187 · see citing works
PD-1 Ligand Expression by Human Colonic Myofibroblasts/Fibroblasts Regulates CD4+ T-Cell Activity
Pinchuk, I. V., Saada, J. I., Beswick, E. J., Boya, G., Qiu, S. M., Mifflin, R. C., Raju, G. S., Reyes, V. E., & Powell, D. W. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.07.016 · Cited by 185 · see citing works
Roman, A. K. S., Jayewickreme, C. D., Murtaugh, L. C., & Shivdasani, R. A. (2014) · Stem Cell Reports · doi:10.1016/j.stemcr.2013.12.012 · Cited by 126 · see citing works
Hsia, L.-T., Ashley, N., Ouaret, D., Wang, L. M., Wilding, J. L., & Bodmer, W. F. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603534113 · Cited by 99 · see citing works
Self-citationGeneration of BAC Transgenic Epithelial Organoids
Schwank, G., Andersson-Rolf, A., Koo, B., Sasaki, N., & Clevers, H. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076871 · Cited by 98 · see citing works
Extrinsic control of Wnt signaling in the intestine
Koch, S. (2017) · Differentiation · doi:10.1016/j.diff.2017.08.003 · Cited by 89 · see citing works
Kurahashi, M., Nakano, Y., Peri, L. E., et al. (2013) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00001.2013 · Cited by 80 · see citing works
van der Loos, C. M. (2010) · Journal of Histotechnology · doi:10.1179/his.2010.33.1.31 · Cited by 61 · see citing works
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Martini, H., Iacovoni, J. S., Maggiorani, D., Dutaur, M., Marsal, D. J., Roncalli, J., Itier, R., Dambrin, C., Pizzinat, N., Mialet‐Perez, J., et al. (2019) · Aging Cell · doi:10.1111/acel.13015 · Cited by 51 · see citing works
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- Authors
- Kinchen, J., Chen, H. H., Parikh, K., Antanaviciute, A., Jagielowicz, M., Fawkner-Corbett, D., Ashley, N., Cubitt, L., Mellado-Gomez, E., Attar, M., Sharma, E., Wills, Q., Bowden, R., Richter, F. C., Ahern, D., Puri, K. D., Henault, J., Gervais, F., Koohy, H., & Simmons, A.
- Affiliations
- John Radcliffe Hospital (GB)
- Centre for Human Genetics (GB)
- University of Oxford (GB)
- Achieve Life Sciences (Canada) (CA)
- Corresponding author
- Simmons, Alison
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 175
- Issue
- 2
- Pages
- 372-386.e17
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC6176871
- OpenAlex
- W2894232765
- Cited by
- 745
- References
- 44
- Citations by year
- 2026: 106 · 2025: 100 · 2024: 108 · 2023: 114 · 2022: 106 · 2021: 100 · 2020: 77 · 2019: 32 · 2018: 1
- FWCI
- 32.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes for Health Research (NIHR-RP-R3-12-026)
- Wellcome (102974/Z/13/Z)
- Crohn’s and Colitis UK
- Lee Placito Medical Fund
- Medical Research CouncilMedical Research Council (MRC)
- Abbvie
- Celgene
- Joint Royal College of Surgeons of England and British Association of Paediatric Surgeons
- Wellcome Trust
- NIHR Oxford
- Biomedical Research Centre
- Thames Valley Local Clinical Research Network
- Oxford Single Cell Consortium
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Inflammatory Bowel Disease
- Life Sciences › Immunology and Microbiology › Immunology › IL-33, ST2, and ILC Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- inflammatory bowel disease, colitis, pericytes, myofibroblasts, SOX6, Wnt signaling, epithelial stem cells, TNFSF14, fibroblastic reticular cells, IL-33, lysyl oxidase, oxidative stress, epithelial barrier dysfunction, single-cell profiling
- MeSH terms
- RAW 264.7 Cells, Animals, Colitis, Colon, Epithelial Cells, Fibroblasts, Homeostasis, Humans, Inflammation, Intestinal Mucosa, Intestines, Mesoderm, Mice, Inbred C57BL, Thromboplastin, Inflammatory Bowel Diseases, Genetic Heterogeneity, Pericytes, Cell Proliferation, Mice, Tumor Necrosis Factor Ligand Superfamily Member 14, SOXD Transcription Factors, Myofibroblasts, Single-Cell Analysis, Mesenchymal Stem Cells, Wnt Signaling Pathway
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