Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn's Disease
RNA-seq (gene expression) · human · 170 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 170 samples: 149 distinct titles, 14 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Identification and multimodal characterization of a specialized epithelial cell type associated with Crohn's diseaseNature communications · 2024
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE266546_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1104768 and SRA study SRP505092. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 170 sample titles: 149 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8249577 GCA017-Control-AC-Endoscopy
- GSM8249578 GCA017-Control-TI-Endoscopy
- GSM8249579 GCA018-Control-TI-Endoscopy
- GSM8249580 GCA019-Moderate-AC-Endoscopy
- GSM8249581 GCA019-Normal_CD-TI-Endoscopy
- GSM8249582 GCA020-Control-AC-Endoscopy
- GSM8249583 GCA020-Control-TI-Endoscopy
- GSM8249584 GCA022-Control-TI-Endoscopy
- GSM8249585 GCA022-Control-AC-Endoscopy
- GSM8249586 GCA024-Control-AC-Endoscopy-Rep1
- GSM8249587 GCA024-Control-AC-Endoscopy-Rep2
- GSM8249588 GCA028-Mild-TI-Endoscopy
- GSM8249589 GCA028-Normal_CD-AC-Endoscopy
- GSM8249590 GCA031-Normal_CD-TI-Endoscopy
- GSM8249591 GCA031-Normal_CD-AC-Endoscopy
- GSM8249592 GCA033-Mild-AC-Endoscopy
- GSM8249593 GCA033-Mild-TI-Endoscopy
- GSM8249594 GCA035-Mild-AC-Endoscopy
- GSM8249595 GCA035-Moderate-TI-Endoscopy
- GSM8249596 GCA036-Moderate-AC-Endoscopy
- GSM8249597 GCA037-Quiescent-AC-Endoscopy
- GSM8249598 GCA037-Normal_CD-TI-Endoscopy
- GSM8249599 GCA039-Normal_CD-AC-Endoscopy
- GSM8249600 GCA041-Normal_CD-TI-Endoscopy
- GSM8249601 GCA041-Normal_CD-AC-Endoscopy
- GSM8249602 GCA043-Normal_CD-AC-Endoscopy
- GSM8249603 GCA043-Normal_CD-TI-Endoscopy
- GSM8249604 GCA045-Mild-TI-Endoscopy
- GSM8249605 GCA045-Mild-AC-Endoscopy
- GSM8249606 GCA053-Normal_CD-AC-Endoscopy
- GSM8249607 GCA053-Quiescent-TI-Endoscopy
- GSM8249608 GCA055-Normal_CD-TI-Endoscopy
- GSM8249609 GCA055-Quiescent-AC-Endoscopy-Rep1
- GSM8249610 GCA055-Quiescent-AC-Endoscopy-Rep2
- GSM8249611 GCA055-Quiescent-AC-Endoscopy-Rep3
- GSM8249612 GCA058-Normal_CD-TI-Endoscopy
- GSM8249613 GCA058-Normal_CD-AC-Endoscopy
- GSM8249614 GCA059-Moderate-AC-Endoscopy
- GSM8249615 GCA060-Normal_CD-TI-Endoscopy
- GSM8249616 GCA060-Mild-AC-Endoscopy
+ 130 more — browse all 170 samples with per-sample file links →
- GSE290695 Identification of Crohn’s disease subtypes in single cell RNA sequencing signatures of treatment naïve samples across the gastrointestinal tract 95 samples shares crohn, type
- GSE269335 Single-cell multimodal profiling of monocytes reveals diverse phenotypes and alterations linked to cardiovascular disease risks 118 samples shares multimodal, type
- GSE261086 Multi-Omics Characterization of Colon Mucosa and Submucosa/Wall from Crohn's Disease Patients 52 samples shares crohn
- GSE264073 Ileal Enterocyte Brush Border Abnormalities Associate with Progressive Disease Course in Pediatric Crohn’s Disease 152 samples shares crohn
- GSE317503 Reference-guided genome assembly of long non-coding RNA transcripts reveals target genes associated with Crohn’s disease 140 samples shares crohn
- GSE266616 Reveal the key mediators of inflammation in Crohn's disease undergoing biological treatments 85 samples shares crohn
- GSE282444 Epigenetic Memory of Intestinal Epithelial Cells in Inflammatory Bowel Disease [RNA-seq] 56 samples shares epithelial
- GSE226039 scRNAseq from pbmc, ileum, and rectal tissue of healthy and crohns disease individuals 46 samples shares crohn
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.