Extended - T and NK cells
Download from source ↗Dataset overview
Single-cell integration reveals metaplasia in inflammatory gut diseases.
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 3' v1
- Age group
- mixed
- Disease groups
- —
- Anatomical sites
- ascending colon, body of stomach, buccal mucosa, caecum, 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, 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
Files and samples
Strengths & limitations for reuse
Strengths
- Processed matrices are advertised
- Cell metadata are advertised
- Analysis code is available
Limitations
- Not documented: raw counts are advertised
- Not documented: participant counts are documented
Extraction evidence & provenance
Each extracted field is shown with the source excerpt and location used to resolve it.
Assay
| Field | Value | Evidence |
|---|---|---|
assay.assay_type |
10x 3' v1 from source |
assay=10x 3' v1 Section |
assay.sequencing_type |
scrna_seq from source |
sequencing_type=scrna_seq Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.age_group |
mixed computed |
adult stage; pediatric stage; 10th week post-fertilization stage Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.analysis_code |
True |
Additional code including atlas assembly, annotation and downstream analyses is described in detail throughout the Methods; and is available on GitHub ( https://github.com/Teichlab/PanGIAtlas ). Section |
data_assets.cell_metadata |
True from source |
CELLxGENE dataset exposes cell metadata Section |
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 |
data_assets.open_access |
True from source |
public CELLxGENE dataset Section |
data_assets.processed_matrix |
True from source |
CELLxGENE dataset exposes H5AD Section |
Processing
| Field | Value | Evidence |
|---|---|---|
processing.ambient_rna_correction_reported |
True |
Cellbender v0.2.0 with default parameters was used to remove ambient RNA (soup). Section |
processing.batch_correction_reported |
True |
Cells from healthy/control samples were integrated using scVI Section |
processing.cell_type_annotation_method |
scANVI/weighted k-nearest-neighbour label transfer with marker-gene review |
we performed majority voting of the higher certainty cells (above the cut-off) and marker genes Section |
processing.doublet_detection_reported |
True |
predicted as doublets (based on scrublet score calculated on a per sample basis) are removed Section |
processing.normalization_method |
log1p normalization |
We used the default processing and normalization of cNMF Section |
processing.quality_control_reported |
True |
To uniformly process the data, we remapped raw sequencing data and processed gene counts through our newly developed quality control pipeline (scAutoQC) Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.anatomical_sites |
['ascending colon', 'body of stomach', 'buccal mucosa', 'caecum', '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', '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, 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 Section |
specimens.number_of_cells |
262642 from source |
cell_count=262642 Section |