Mapping mesenchymal diversity in the human small intestine and organoids

The organization of diverse mesenchymal populations during human small intestinal development is critical for tissue architecture and function yet remains poorly defined. Here, to construct a comprehensive, tissue-scale map of the developing human small intestine at single cell resolution, we leveraged single-cell RNA-sequencing data to build a Xenium spatial transcriptomics gene panel covering the cell diversity of the human small intestine. We defined five subpopulations occupying discrete anatomical locations within the lamina propria and submucosa—the subepithelial cells, lamina propria fibroblasts, submucosal fibroblasts, smooth muscle cells and CXCL13+ fibroblasts. Our data establish molecular markers to distinguish these populations in both sequencing and imaging data. We leverage this high-resolution atlas to interrogate cell–cell signalling, benchmark pluripotent stem cell-derived human intestinal organoids and to demonstrate how this resource can incorporate relative spatial organization into tissue analysis, with broad implications for modelling development, regeneration and disease. Johnson et al. combine single-cell and spatial transcriptomics approaches to build a spatially resolved atlas of the developing human intestine and intestinal organoids, uncovering spatial organization and fibroblast heterogeneity.

Authors

Institutions

Publication Details

Journal
Nature Cell Biology
Published
2026-07-22
DOI
https://doi.org/10.1038/s41556-026-02027-2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping mesenchymal diversity in the human small intestine and organoids

Charlie J. Childs, S. Clark, Ophir D. Klein, Angeline Wu et al.
Nature Cell Biology
Single-cell and spatial transcriptomics
article

Mapping mesenchymal diversity in the human small intestine and organoids

Charlie J. Childs, S. Clark, Ophir D. Klein, Angeline Wu, Jason R. Spence, Rachel K. Zwick, Kelli Johnson, Ian A. Glass, Sha Huang, Abigail Vallie, Xiangning Dong, Katherine D. Walton, Yu-Hwai Tsai
article en

Abstract

The organization of diverse mesenchymal populations during human small intestinal development is critical for tissue architecture and function yet remains poorly defined. Here, to construct a comprehensive, tissue-scale map of the developing human small intestine at single cell resolution, we leveraged single-cell RNA-sequencing data to build a Xenium spatial transcriptomics gene panel covering the cell diversity of the human small intestine. We defined five subpopulations occupying discrete anatomical locations within the lamina propria and submucosa—the subepithelial cells, lamina propria fibroblasts, submucosal fibroblasts, smooth muscle cells and CXCL13+ fibroblasts. Our data establish molecular markers to distinguish these populations in both sequencing and imaging data. We leverage this high-resolution atlas to interrogate cell–cell signalling, benchmark pluripotent stem cell-derived human intestinal organoids and to demonstrate how this resource can incorporate relative spatial organization into tissue analysis, with broad implications for modelling development, regeneration and disease. Johnson et al. combine single-cell and spatial transcriptomics approaches to build a spatially resolved atlas of the developing human intestine and intestinal organoids, uncovering spatial organization and fibroblast heterogeneity.

Nature Cell Biology
Cedars-Sinai Medical Center (US), University of California, San Francisco (US), University of Washington (US), University of Michigan (US), New York University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.