Foundry120 atlas

← IBD single-cell transcriptomics

Extended+ - 18485 genes

Download from source ↗

Dataset overview

Participants 271
Samples None
Reuse readiness 7.3/10 evidence-backed score

Single-cell integration reveals metaplasia in inflammatory gut diseases.

Oliver AJ, Huang N, Bartolome-Casado R, Li R, Koplev S, Nilsen HR, Moy M, Cakir B, et al. · Nature · 2024

Abstract

The gastrointestinal tract is a multi-organ system crucial for efficient nutrient uptake and barrier immunity. Advances in genomics and a surge in gastrointestinal diseases<sup>1,2</sup> has fuelled efforts to catalogue cells constituting gastrointestinal tissues in health and disease<sup>3</sup>. Here we present systematic integration of 25 single-cell RNA sequencing datasets spanning the entire healthy gastrointestinal tract in development and in adulthood. We uniformly processed 385 samples from 189 healthy controls using a newly developed automated quality control approach (scAutoQC), leading to a healthy reference atlas with approximately 1.1 million cells and 136 fine-grained cell states. We anchor 12 gastrointestinal disease datasets spanning gastrointestinal cancers, coeliac disease, ulcerative colitis and Crohn's disease to this reference. Utilizing this 1.6 million cell resource (gutcellatlas.org), we discover epithelial cell metaplasia originating from stem cells in intestinal inflammatory diseases with transcriptional similarity to cells found in pyloric and Brunner's glands. Although previously linked to mucosal healing<sup>4</sup>, we now implicate pyloric gland metaplastic cells in inflammation through recruitment of immune cells including T cells and neutrophils. Overall, we describe inflammation-induced changes in stem cells that alter mucosal tissue architecture and promote further inflammation, a concept applicable to other tissues and diseases.

doi:10.1038/s41586-024-07571-1 ↗ PMID 39567783 ↗ PMC11578898 ↗

Study facts

Organism
Homo sapiens
Platform
10x Genomics Chromium
Age group
mixed
Disease groups
—
Anatomical sites
ascending colon, body of stomach, buccal mucosa, caecum, caecum epithelium, cecum mucosa, colon, colonic epithelium, colonic mucosa, descending colon, duodenal epithelium, duodenum, epithelium of esophagus, epithelium of rectum, epithelium of small intestine, epithelium of stomach, esophagus, gingiva, ileal epithelium, ileum, ileum lamina propria, intestine, jejunum, labial gland, lamina propria of mucosa of colon, lamina propria of small intestine, mesenteric lymph node, mucosa of sigmoid colon, mucosa of transverse colon, parotid gland, periodontium, pyloric antrum, pylorus, rectosigmoid junction, rectum, sigmoid colon, small intestine, stomach, transverse colon, vermiform appendix

Data availability

  • Processed matrix
  • Analysis code

File types H5AD

Strengths & limitations for reuse

Strengths

  • Raw reads are advertised
  • Processed matrices are advertised
  • Cell metadata are advertised
  • Analysis code is available
  • Participant counts are documented

Limitations

  • Not documented: raw counts are advertised
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.assay_type 10x 3' v1 from source
assay=10x 3' v1

Section structured repository metadata, offset —
assay.platform 10x Genomics Chromium
proceeded to Chromium 10x Genomics single cell 5′ v2 protocol

Section Patient samples and tissue processing, offset —
assay.reference_genome Cell Ranger 2020-A human reference
Transcriptome reference exactly matching Cell Ranger 2020-A for human was prepared

Section Data curation and mapping, offset —
assay.sequencing_type scrna_seq from source
sequencing_type=scrna_seq

Section structured repository metadata, offset —

Cohort

FieldValueEvidence
cohort.age_group mixed
our healthy reference atlas comprised approximately 1.1 million cells from 143 adult or paediatric and 32 embryonic, fetal or preterm donors

Section Pan-gastrointestinal data integration, offset —
cohort.total_participants 271
totalling 1.6 million cells across 27 studies, 271 donors and 6 gastrointestinal diseases.

Section Disease-relevant cell dynamics in IBD, offset —

Data_Assets

FieldValueEvidence
data_assets.analysis_code True from source
Additional code including atlas assembly, annotation and downstream analyses ... is available on GitHub

Section Code availability, offset —
data_assets.cell_metadata True from source
CELLxGENE dataset exposes cell metadata

Section structured repository metadata, offset —
data_assets.environment_or_container_info True
All the analyses and plots have been made on standard Python (v3.8 or higher) and R (v4.0.4) environments

Section Code availability, offset —
data_assets.open_access True from source
public CELLxGENE dataset

Section structured repository metadata, offset —
data_assets.processed_matrix True from source
CELLxGENE dataset exposes H5AD

Section structured repository metadata, offset —
data_assets.raw_reads True from source
Raw sequencing data for adult samples are available through ArrayExpress with the accession number E-MTAB-14050

Section Data availability, offset —

Processing

FieldValueEvidence
processing.ambient_rna_correction_reported True
Cellbender v0.2.0 with default parameters was used to remove ambient RNA (soup).

Section Data curation and mapping, offset —
processing.batch_correction_reported True
Healthy/control samples were integrated using scVI

Section Assembly of the healthy reference, offset —
processing.cell_type_annotation_method Semi-automated annotation using marker genes and CellTypist predictions
Cells were annotated by a semi-automated approach, taking into account the marker genes and CellTypist predictions from published studies

Section Pan-gastrointestinal data integration, offset —
processing.doublet_detection_reported True
Cells were further filtered through automated doublet removal based on scrublet scores

Section Assembly of the healthy reference, offset —
processing.quality_control_reported True
scAutoQC calculated the following metrics

Section scAutoQC, offset —

Specimens

FieldValueEvidence
specimens.anatomical_sites ['ascending colon', 'body of stomach', 'buccal mucosa', 'caecum', 'caecum epithelium', 'cecum mucosa', 'colon', 'colonic epithelium', 'colonic mucosa', 'descending colon', 'duodenal epithelium', 'duodenum', 'epithelium of esophagus', 'epithelium of rectum', 'epithelium of small intestine', 'epithelium of stomach', 'esophagus', 'gingiva', 'ileal epithelium', 'ileum', 'ileum lamina propria', 'intestine', 'jejunum', 'labial gland', 'lamina propria of mucosa of colon', 'lamina propria of small intestine', 'mesenteric lymph node', 'mucosa of sigmoid colon', 'mucosa of transverse colon', 'parotid gland', 'periodontium', 'pyloric antrum', 'pylorus', 'rectosigmoid junction', 'rectum', 'sigmoid colon', 'small intestine', 'stomach', 'transverse colon', 'vermiform appendix'] from source
tissues=ascending colon, body of stomach, buccal mucosa, caecum, caecum epithelium, cecum mucosa, colon, colonic epithelium, colonic mucosa, descending colon, duodenal epithelium, duodenum, epithelium of esophagus, epithelium of rectum, epithelium of small intestine, epithelium of stomach, esophagus, gingiva, ileal epithelium, ileum, ileum lamina propria, intestine, jejunum, labial gland, lamina p

Section structured repository metadata, offset —
specimens.number_of_cells 1596200 from source
cell_count=1596200

Section structured repository metadata, offset —
specimens.specimen_type mixed
Adult Crohn’s disease surgical resections were collected ... and biopsy material was collected from patients undergoing colonoscopy

Section Disease tissue from patients with Crohn’s disease, ulcerative colitis and coeliac disease, offset —