Epithelial Muscarinic Receptor 3 Ablation Induces Sex-Specific Modulation of Colonic Intestinal Progenitor Cells and Response to Intestinal Injury [586CW]
RNA-seq (gene expression) · human · 16 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
- 16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
- Epithelial genetic muscarinic receptor 3 ablation induces sex-specific modulation of colonic intestinal progenitor cells and response to intestinal injuryJournal of Crohn's & colitis · 2025
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 GSE286190_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 PRJNA1208093 and SRA study SRP556103. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 16 sample titles: 16 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.
- GSM8812094 M1_Con
- GSM8812095 M1_Bet
- GSM8812096 M2_Con
- GSM8812097 M2_Bet
- GSM8812098 M3_Con
- GSM8812099 M3_Bet
- GSM8812100 M4_Con
- GSM8812101 M4_Bet
- GSM8812102 M5_Con
- GSM8812103 M5_Bet
- GSM8812104 M6_Con
- GSM8812105 M6_Bet
- GSM8812106 M7_Con
- GSM8812107 M7_Bet
- GSM8812108 M8_Con
- GSM8812109 M8_Bet
- GSE320151 Transcriptomic profiling reveals substrate- and shear stress_x0002_dependent maturation of human small intestinal epithelial cells 58 samples shares epithelial, intestinal
- GSE282444 Epigenetic Memory of Intestinal Epithelial Cells in Inflammatory Bowel Disease [RNA-seq] 56 samples shares epithelial, intestinal
- GSE304598 Bulk RNA-seq time-course of human iPSc differentiation to thymic epithelial progenitors 33 samples shares epithelial, progenitor
- GSE282442 Epigenetic Memory of Intestinal Epithelial Cells in Inflammatory Bowel Disease [ATAC-seq] 26 samples shares epithelial, intestinal
- GSE339375 MYCN sustains a progenitor-stage differentiation block in human neuroepithelial stem cells to drive ETMR-like tumourigenesis. 24 samples shares epithelial, progenitor
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares epithelial
- GSE275647 Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC RNA-seq] 216 samples shares epithelial
- GSE271359 Identifying modulators of inflammation in an in vitro airway epithelial inflammation model using an arrayed CRISPRi screen 186 samples shares epithelial
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.