Bulk RNA-sequencing of human non-IBD enteroids treated with interferon-gamma (IFNγ)
RNA-seq (gene expression) · human · 12 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
- 12 samples: 6 conditions, mostly in duplicateGroups 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
- IFN-γ-Induced intestinal epithelial cell-type-specific programmed cell death: PANoptosis and its modulation in Crohn's diseaseFrontiers in immunology · 2025
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 GSE290418_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 PRJNA1227985. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 12 sample titles; they account for 12 of them. 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.
- GSM8812373 #66 IFN_R 0 #66 IFN
- GSM8812374 #66 IFN_R 100 #66 IFN
- GSM8812375 N2 IFN_R 0 N2 IFN
- GSM8812376 N2 IFN_R 100 N2 IFN
- GSM8812377 #291 IFNR 0 #291 IFN
- GSM8812378 #291 IFNR 100 #291 IFN
- GSM8812379 #294 IFNR 0 #294 IFN
- GSM8812380 #294 IFNR 100 #294 IFN
- GSM8812381 #292 IFNR 0 #292 IFN
- GSM8812382 #292 IFNR 400 #292 IFN
- GSM8812383 F#38 IFNR 0 F#38 IFN
- GSM8812384 F#38 IFNR 400 F#38 IFN
- GSE264680 Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data 167 samples shares rna-sequencing, bulk
- GSE296894 RNA-sequencing of Oral Squamous Cell carcinoma cells, PE/CA-PJ41, treated with human plasma or platelet-rich-plasma (PRP) 12 samples shares rna-sequencing, treated
- GSE330412 Bulk RNA-sequencing after estrogen-related receptorr knockdown (ESRRA) knockdown in human GIST-T1 cell line 9 samples shares rna-sequencing, bulk
- GSE263588 Comprehensive transcriptomic profiling of glioblastoma patient-derived primary tumor cell lines using bulk RNA-sequencing 49 samples shares rna-sequencing, bulk
- GSE319794 Bulk RNA-sequencing of soft tissue sarcomas from patients undergoing neoadjuvant BO-112 and hypofractionated radiation therapy with or without nivolumab in soft tissue sarcoma 41 samples shares rna-sequencing, bulk
- GSE303762 Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches 38 samples shares rna-sequencing, bulk
- GSE226978 RNA-Sequencing Analysis of LNCaP Wildtype (WT) and RB-p53 CRISPR-Cas9 Double Knockout (DKO) Cells Treated with Enzalutamide 16 samples shares rna-sequencing, treated
- GSE266210 Bulk RNA-sequencing results of p16INK4A-high and -low glioblastoma, IDH-wild type, grade 4. 11 samples shares rna-sequencing, bulk
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.