Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 30, 2026.

Cells of the human intestinal tract mapped across space and time

Rasa Elmentaite, Natsuhiko Kumasaka, Kenny Roberts and 40 more

Nature · 2021

doi:10.1038/s41586-021-03852-1

Abstract

The cellular landscape of the human intestinal tract is dynamic throughout life, developing in utero and changing in response to functional requirements and environmental exposures. Here, to comprehensively map cell lineages, we use single-cell RNA sequencing and antigen receptor analysis of almost half a million cells from up to 5 anatomical regions in the developing and up to 11 distinct anatomical regions in the healthy paediatric and adult human gut. This reveals the existence of transcriptionally distinct BEST4 epithelial cells throughout the human intestinal tract. Furthermore, we implicate IgG sensing as a function of intestinal tuft cells. We describe neural cell populations in the developing enteric nervous system, and predict cell-type-specific expression of genes associated with Hirschsprung’s disease. Finally, using a systems approach, we identify key cell players that drive the formation of secondary lymphoid tissue in early human development. We show that these programs are adopted in inflammatory bowel disease to recruit and retain immune cells at the site of inflammation. This catalogue of intestinal cells will provide new insights into cellular programs in development, homeostasis and disease.

References 85

  1. 1.
  2. 2.

    Holloway EM, et al. Mapping development of the human intestinal niche at single-cell resolution. Cell Stem Cell. 2021;28:568-580.e4.

    Not in our library10.1016/j.stem.2020.11.008

  3. 3.
  4. 4.

    James KR, et al. Distinct microbial and immune niches of the human colon. Nat. Immunol. 2020;21:343-353.

    Not in our library10.1038/s41590-020-0602-z

  5. 5.
  6. 6.

    Smillie CS, et al. Intra- and inter-cellular rewiring of the human colon during ulcerative colitis. Cell. 2019;178:714-730.e22.

    Not in our library10.1016/j.cell.2019.06.029

  7. 7.

    Boland BS, et al. Heterogeneity and clonal relationships of adaptive immune cells in ulcerative colitis revealed by single-cell analyses. Sci. Immunol. 2020;5:eabb4432.

    Not in our library10.1126/sciimmunol.abb4432

  8. 8.

    Corridoni D, et al. Single-cell atlas of colonic CD8+ T cells in ulcerative colitis. Nat. Med. 2020;26:1-11.

    Not in our library10.1038/s41591-020-1003-4

  9. 9.

    Huang B, et al. Mucosal profiling of pediatric-onset colitis and ibd reveals common pathogenics and therapeutic pathways. Cell. 2019;179:1160-1176.e24.

    Not in our library10.1016/j.cell.2019.10.027

  10. 10.

    Martin JC, et al. Single-cell analysis of Crohn’s disease lesions identifies a pathogenic cellular module associated with resistance to anti-TNF therapy. Cell. 2019;178:1493-1508.e20.

    Not in our library10.1016/j.cell.2019.08.008

  11. 11.

    Haniffa, M. et al. (2021) A roadmap for the Human Developmental Cell Atlas. Nature, 10.1038/s41586-021-03620-1 (2021).

    Not in our library10.1038/s41586-021-03620-1

  12. 12.

    Ito G, et al. Lineage-specific expression of bestrophin-2 and bestrophin-4 in human intestinal epithelial cells. PLoS ONE. 2013;8:e79693.

    Not in our library10.1371/journal.pone.0079693

  13. 13.

    Parikh K, et al. Colonic epithelial cell diversity in health and inflammatory bowel disease. Nature. 2019;567:49-55.

    Not in our library10.1038/s41586-019-0992-y

  14. 14.

    Dann, E., Henderson, N. C., Teichmann, S. A., Morgan, M. D. & Marioni, J. C. Milo: differential abundance testing on single-cell data using k-NN graphs. Preprint at 10.1101/2020.11.23.393769 (2020).

    Not in our library10.1038/s41587-021-01033-z

  15. 15.
  16. 16.

    Beumer J, et al. High-resolution mRNA and secretome atlas of human enteroendocrine cells. Cell. 2020;181:1291-1306.e19.

    Not in our library10.1016/j.cell.2020.04.036

  17. 17.

    Levine AS, Winsky-Sommerer R, Huitron-Resendiz S, Grace MK, de Lecea L. Injection of neuropeptide W into paraventricular nucleus of hypothalamus increases food intake. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2005;288:R1727-R1732.

    Not in our library10.1152/ajpregu.00638.2003

  18. 18.

    Roberts GP, et al. Comparison of human and murine enteroendocrine cells by transcriptomic and peptidomic profiling. Diabetes. 2019;68:1062-1072.

    Not in our library10.2337/db18-0883

  19. 19.

    Gehart H, et al. Identification of enteroendocrine regulators by real-time single-cell differentiation mapping. Cell. 2019;176:1158-1173.e16.

    Not in our library10.1016/j.cell.2018.12.029

  20. 20.

    Beumer J, Gehart H, Clevers H. Enteroendocrine dynamics – new tools reveal hormonal plasticity in the gut. Endocr. Rev. 2020;41:695-706.

    Not in our library10.1210/endrev/bnaa018

  21. 21.

    Moreno-Fierros L, Verdín-Terán SL, García-Hernández AL. Intraperitoneal immunization with Cry1Ac protoxin from Bacillus thuringiensis provokes upregulation of Fc-gamma-II/and Fc-gamma-III receptors associated with IgG in the intestinal epithelium of mice. Scand. J. Immunol. 2015;82:35-47.

    Not in our library10.1111/sji.12305

  22. 22.

    Morarach K, et al. Diversification of molecularly defined myenteric neuron classes revealed by single-cell RNA sequencing. Nat. Neurosci. 2021;24:34-46.

    Not in our library10.1038/s41593-020-00736-x

  23. 23.

    May-Zhang AA, et al. Combinatorial transcriptional profiling of mouse and human enteric neurons identifies shared and disparate subtypes in situ. Gastroenterology. 2021;160:755-770.e26.

    Not in our library10.1053/j.gastro.2020.09.032

  24. 24.

    Memic F, et al. Transcription and signaling regulators in developing neuronal subtypes of mouse and human enteric nervous system. Gastroenterology. 2018;154:624-636.

    Not in our library10.1053/j.gastro.2017.10.005

  25. 25.

    Tang CS-M, et al. Identification of genes associated with Hirschsprung disease, based on whole-genome sequence analysis, and potential effects on enteric nervous system development. Gastroenterology. 2018;155:1908-1922.e5.

    Not in our library10.1053/j.gastro.2018.09.012

  26. 26.

    Zhang Z, et al. Sporadic Hirschsprung disease: mutational spectrum and novel candidate genes revealed by next-generation sequencing. Sci. Rep. 2017;7:14796.

    Not in our library10.1038/s41598-017-14835-6

  27. 27.

    Bondurand N, Southard-Smith EM. Mouse models of Hirschsprung disease and other developmental disorders of the enteric nervous system: old and new players. Dev. Biol. 2016;417:139-157.

    Not in our library10.1016/j.ydbio.2016.06.042

  28. 28.

    Hoorweg K, Cupedo T. Development of human lymph nodes and Peyer’s patches. Semin. Immunol. 2008;20:164-170.

    Not in our library10.1016/j.smim.2008.02.003

  29. 29.

    Krishnamurty AT, Turley SJ. Lymph node stromal cells: cartographers of the immune system. Nat. Immunol. 2020;21:369-380.

    Not in our library10.1038/s41590-020-0635-3

  30. 30.

    Popescu D-M, et al. Decoding human fetal liver haematopoiesis. Nature. 2019;574:365-371.

    Not in our library10.1038/s41586-019-1652-y

  31. 31.

    Takeda A, et al. Single-cell survey of human lymphatics unveils marked endothelial cell heterogeneity and mechanisms of homing for neutrophils. Immunity. 2019;51:561-572.e5.

    Not in our library10.1016/j.immuni.2019.06.027

  32. 32.

    Rodda LB, et al. Single-cell RNA sequencing of lymph node stromal cells reveals niche-associated heterogeneity. Immunity. 2018;48:1014-1028.e6.

    Not in our library10.1016/j.immuni.2018.04.006

  33. 33.

    Koning JJ, et al. Nestin-expressing precursors give rise to both endothelial as well as nonendothelial lymph node stromal cells. J. Immunol. 2016;197:2686-2694.

    Not in our library10.4049/jimmunol.1501162

  34. 34.

    Kleshchevnikov, V. et al. Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics. Preprint at 10.1101/2020.11.15.378125 (2020).

    Not in our library

  35. 35.

    Sura R, Colombel J-F, Van Kruiningen HJ. Lymphatics, tertiary lymphoid organs and the granulomas of Crohn’s disease: an immunohistochemical study. Aliment. Pharmacol. Ther. 2011;33:930-939.

    Not in our library10.1111/j.1365-2036.2011.04605.x

  36. 36.

    de Lange KM, et al. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat. Genet. 2017;49:256-261.

    Not in our library10.1038/ng.3760

  37. 37.

    Uhlig HH. Monogenic diseases associated with intestinal inflammation: implications for the understanding of inflammatory bowel disease. Gut. 2013;62:1795-1805.

    Not in our library10.1136/gutjnl-2012-303956

  38. 38.

    Martín-Nalda A, et al. Severe autoinflammatory manifestations and antibody deficiency due to novel hypermorphic PLCG2 mutations. J. Clin. Immunol. 2020;40:987-1000.

    Not in our library10.1007/s10875-020-00794-7

  39. 39.

    Haley PJ. The lymphoid system: a review of species differences. J. Toxicol. Pathol. 2017;30:111-123.

    Not in our library10.1293/tox.2016-0075

  40. 40.

    Li N, et al. Memory CD4+ T cells are generated in the human fetal intestine. Nat. Immunol. 2019;20:301-312.

    Not in our library10.1038/s41590-018-0294-9

  41. 41.

    Schreurs RRCE, et al. Human fetal TNF-α-cytokine-producing CD4+ effector memory T cells promote intestinal development and mediate inflammation early in life. Immunity. 2019;50:462-476.e8.

    Not in our library10.1016/j.immuni.2018.12.010

  42. 42.

    Cupedo T, et al. Human fetal lymphoid tissue-inducer cells are interleukin 17-producing precursors to RORC+CD127+ natural killer-like cells. Nat. Immunol. 2009;10:66-74.

    Not in our library10.1038/ni.1668

  43. 43.

    Shikhagaie MM, et al. Neuropilin-1 is expressed on lymphoid tissue residing LTi-like group 3 innate lymphoid cells and associated with ectopic lymphoid aggregates. Cell Rep. 2017;18:1761-1773.

    Not in our library10.1016/j.celrep.2017.01.063

  44. 44.
  45. 45.

    Rodda LB, Bannard O, Ludewig B, Nagasawa T, Cyster JG. Phenotypic and morphological properties of germinal center dark zone Cxcl12-expressing reticular cells. J. Immunol. 2015;195:4781-4791.

    Not in our library10.4049/jimmunol.1501191

  46. 46.

    Mesin L, Ersching J, Victora GD. Germinal center B cell dynamics. Immunity. 2016;45:471-482.

    Not in our library10.1016/j.immuni.2016.09.001

  47. 47.

    Chang JE, Buechler MB, Gressier E, Turley SJ, Carroll MC. Mechanosensing by Peyer’s patch stroma regulates lymphocyte migration and mucosal antibody responses. Nat. Immunol. 2019;20:1506-1516.

    Not in our library10.1038/s41590-019-0505-z

  48. 48.

    Uhlen M., et al. Tissue-based map of the human proteome. Science. 2015;347(6220):1260419-1260419.

    Not in our library10.1126/science.1260419

  49. 49.
  50. 50.
  51. 51.

    Tirosh I, et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science. 2016;352:189-196.

    Not in our library10.1126/science.aad0501

  52. 52.

    Hung Y-H, et al. Chromatin regulatory dynamics of early human small intestinal development using a directed differentiation model. Nucleic Acids Res. 2021;49:726-744.

    Not in our library10.1093/nar/gkaa1204

  53. 53.

    Zaret KS, Grompe M. Generation and regeneration of cells of the liver and pancreas. Science. 2008;322:1490-1494.

    Not in our library10.1126/science.1161431

  54. 54.

    Ayyaz A, et al. Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell. Nature. 2019;569:121-125.

    Not in our library10.1038/s41586-019-1154-y

  55. 55.

    Drokhlyansky E, et al. The human and mouse enteric nervous system at single-cell resolution. Cell. 2020;182:1606-1622.e23.

    Not in our library10.1016/j.cell.2020.08.003

  56. 56.

    Galitzky J, Bouloumié A. Human visceral-fat-specific glucocorticoid tuning of adipogenesis. Cell Metab. 2013;18:3-5.

    Not in our library10.1016/j.cmet.2013.06.008

  57. 57.

    Ambele MA, Dessels C, Durandt C, Pepper MS. Genome-wide analysis of gene expression during adipogenesis in human adipose-derived stromal cells reveals novel patterns of gene expression during adipocyte differentiation. Stem Cell Res. 2016;16:725-734.

    Not in our library10.1016/j.scr.2016.04.011

  58. 58.
  59. 59.

    Lee MY, et al. Transcriptome of interstitial cells of Cajal reveals unique and selective gene signatures. PLoS ONE. 2017;12:e0176031.

    Not in our library10.1371/journal.pone.0176031

  60. 60.

    Eom J, et al. Distinctive subpopulations of stromal cells are present in human lymph nodes infiltrated with melanoma. Cancer Immunol. Res. 2020;8:990-1003.

    Not in our library10.1158/2326-6066.cir-19-0796

  61. 61.

    Kanamori-Katayama M, et al. LRRN4 and UPK3B are markers of primary mesothelial cells. PLoS ONE. 2011;6:e25391.

    Not in our library10.1371/journal.pone.0025391

  62. 62.

    Ehrhardt GRA, et al. Expression of the immunoregulatory molecule FcRH4 defines a distinctive tissue-based population of memory B cells. J. Exp. Med. 2005;202:783-791.

    Not in our library10.1084/jem.20050879

  63. 63.

    Papadopoulou M, et al. TCR sequencing reveals the distinct development of fetal and adult human Vγ9Vδ2 T cells. J. Immunol. 2019;203:1468-1479.

    Not in our library10.4049/jimmunol.1900592

  64. 64.
  65. 65.

    Lim AI, et al. Systemic human ILC precursors provide a substrate for tissue ILC differentiation. Cell. 2017;168:1086-1100.e10.

    Not in our library10.1016/j.cell.2017.02.021

  66. 66.

    Patino GA, et al. Voltage-gated Na+ channel β1B: a secreted cell adhesion molecule involved in human epilepsy. J. Neurosci. 2011;31:14577-14591.

    Not in our library10.1523/jneurosci.0361-11.2011

  67. 67.
  68. 68.

    Lim HY, et al. Hyaluronan receptor LYVE-1-expressing macrophages maintain arterial tone through hyaluronan-mediated regulation of smooth muscle cell collagen. Immunity. 2018;49:1191.

    Not in our library10.1016/j.immuni.2018.12.009

  69. 69.

    Chakarov S, et al. Two distinct interstitial macrophage populations coexist across tissues in specific subtissular niches. Science. 2019;363:eaau0964.

    Not in our library10.1126/science.aau0964

  70. 70.

    Lasrado R, et al. Lineage-dependent spatial and functional organization of the mammalian enteric nervous system. Science. 2017;356:722-726.

    Not in our library10.1126/science.aam7511

  71. 71.

    Stubbington MJT, et al. T cell fate and clonality inference from single-cell transcriptomes. Nat. Methods. 2016;13:329-332.

    Not in our library10.1038/nmeth.3800

  72. 72.

    Gut G, Tadmor MD, Pe’er D, Pelkmans L, Liberali P. Trajectories of cell-cycle progression from fixed cell populations. Nat. Methods. 2015;12:951-954.

    Not in our library10.1038/nmeth.3545

  73. 73.
  74. 74.

    Bergen V, Lange M, Peidli S, Wolf FA, Theis FJ. Generalizing RNA velocity to transient cell states through dynamical modeling. Nat. Biotechnol. 2020;38:1408-1414.

    Not in our library10.1038/s41587-020-0591-3

  75. 75.
  76. 76.

    King HW, et al. Single-cell analysis of human B cell maturation predicts how antibody class switching shapes selection dynamics. Sci. Immunol. 2021;6:eabe6291.

    Not in our library10.1126/sciimmunol.abe6291

  77. 77.

    Ye J, Ma N, Madden TL, Ostell JM. IgBLAST: an immunoglobulin variable domain sequence analysis tool. Nucleic Acids Res. 2013;41:W34-W40.

    Not in our library10.1093/nar/gkt382

  78. 78.

    Heiden JAV, et al. pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. Bioinformatics. 2014;30:1930-1932.

    Not in our library10.1093/bioinformatics/btu138

  79. 79.

    Gupta NT, et al. Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. Bioinformatics. 2015;31:3356-3358.

    Not in our library10.1093/bioinformatics/btv359

  80. 80.

    Efremova M, Vento-Tormo M, Teichmann SA, Vento-Tormo R. CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand–receptor complexes. Nat. Protocols. 2020;15:1484-1506.

    Not in our library10.1038/s41596-020-0292-x

  81. 81.

    Vento-Tormo R, et al. Single-cell reconstruction of the early maternal–fetal interface in humans. Nature. 2018;563:347-353.

    Not in our library10.1038/s41586-018-0698-6

  82. 82.
  83. 83.

    Pickrell JK. Joint analysis of functional genomic data and genome-wide association studies of 18 human traits. Am. J. Hum. Genet. 2014;94:559-573.

    Not in our library10.1016/j.ajhg.2014.03.004

  84. 84.

    Wakefield J. A Bayesian measure of the probability of false discovery in genetic epidemiology studies. Am. J. Hum. Genet. 2007;81:208-227.

    Not in our library10.1086/519024

  85. 85.

    Kumasaka N, Knights AJ, Gaffney DJ. High-resolution genetic mapping of putative causal interactions between regions of open chromatin. Nat. Genet. 2019;51:128-137.

    Not in our library10.1038/s41588-018-0278-6

Cited by papers we hold 11

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.