Gene expression profile of intestinal organoids from people with cystic fibrosis upon exposure to elexacaftor/tezacaftor/ivacaftor
RNA-seq (gene expression) · human · 84 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
- 84 samples: 84 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
- Gene expression profile of intestinal organoids from people with cystic fibrosis upon exposure to elexacaftor/tezacaftor/ivacaftorJournal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 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 GSE263022_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 PRJNA1095464 and SRA study SRP499340. 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 84 sample titles: 84 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.
- GSM8183448 subject 22-CF ETI time 2 h
- GSM8183449 subject 22-CF ETI time 4 h
- GSM8183450 subject 22-CF ETI time 6 h
- GSM8183451 subject 22-CF medium_only time 0 h
- GSM8183452 subject 22-CF medium_only time 2 h
- GSM8183453 subject 22-CF medium_only time 4 h
- GSM8183454 subject 22-CF medium_only time 6 h
- GSM8183455 subject 27-CF ETI time 2 h
- GSM8183456 subject 27-CF ETI time 4 h
- GSM8183457 subject 27-CF ETI time 6 h
- GSM8183458 subject 27-CF medium_only time 0 h
- GSM8183459 subject 27-CF medium_only time 2 h
- GSM8183460 subject 27-CF medium_only time 4 h
- GSM8183461 subject 27-CF medium_only time 6 h
- GSM8183462 subject 35-CF ETI time 2 h
- GSM8183463 subject 35-CF ETI time 4 h
- GSM8183464 subject 35-CF ETI time 6 h
- GSM8183465 subject 35-CF medium_only time 0 h
- GSM8183466 subject 35-CF medium_only time 2 h
- GSM8183467 subject 35-CF medium_only time 4 h
- GSM8183468 subject 35-CF medium_only time 6 h
- GSM8183469 subject 45-CF ETI time 2 h
- GSM8183470 subject 45-CF ETI time 4 h
- GSM8183471 subject 45-CF ETI time 6 h
- GSM8183472 subject 45-CF medium_only time 0 h
- GSM8183473 subject 45-CF medium_only time 2 h
- GSM8183474 subject 45-CF medium_only time 4 h
- GSM8183475 subject 45-CF medium_only time 6 h
- GSM8183476 subject 52-CF ETI time 2 h
- GSM8183477 subject 52-CF ETI time 4 h
- GSM8183478 subject 52-CF ETI time 6 h
- GSM8183479 subject 52-CF medium_only time 0 h
- GSM8183480 subject 52-CF medium_only time 2 h
- GSM8183481 subject 52-CF medium_only time 4 h
- GSM8183482 subject 52-CF medium_only time 6 h
- GSM8183483 subject 53-CF ETI time 2 h
- GSM8183484 subject 53-CF ETI time 4 h
- GSM8183485 subject 53-CF ETI time 6 h
- GSM8183486 subject 53-CF medium_only time 0 h
- GSM8183487 subject 53-CF medium_only time 2 h
+ 44 more — browse all 84 samples with per-sample file links →
- GSE210993 RNA sequencing of human gastrointestinal organoids and Intestinal Metaplasia (IM) organoids 103 samples shares intestinal, organoids
- GSE284755 Compromised Intestinal Barrier Resilience to Disruption in People with HIV [colon] 30 samples shares intestinal, people
- GSE275145 Creeping fat-derived mechanosensitive fibroblasts drive intestinal fibrosis in Crohn’s disease strictures [Human scRNA-seq] 29 samples shares intestinal, fibrosis
- GSE210991 5' droplet-based single cell RNA sequencing of human gastrointestinal organoids and Intestinal Metaplasia (IM) organoids [scRNA-seq] 29 samples shares intestinal, organoids
- GSE308421 Single-Cell RNA Sequencing Analysis of Intestinal organoids expanded in either IntestiCult™ Plus or IntestiCult™ OGM (Human) 10 samples shares intestinal, organoids
- GSE277967 Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols [time-course bulk RNA-seq] 768 samples shares organoids
- GSE334500 Psychotropic-drug and neurotransmitter perturbation RNA-seq of human iPSC-derived cardiac and retinal organoids (ToxiPred) 96 samples shares organoids
- GSE290695 Identification of Crohn’s disease subtypes in single cell RNA sequencing signatures of treatment naïve samples across the gastrointestinal tract 95 samples shares intestinal
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.