Global transcriptional profiles of intestinal epithelial cells during aging
RNA-seq (gene expression) · mouse · 144 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
- Mus musculus (mouse)
- Samples
- 144 samples: 47 conditions, mostly in triplicateGroups 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
- The balance between IFN-γ and ERK/MAPK signaling activities ensures lifelong maintenance of intestinal stem cellsCell reports · 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 GSE210242_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 PRJNA864814 and SRA study SRP546122. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 144 samples.
How we read this: 47 replicated groups read from 144 sample titles; they account for 144 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.
- GSM6424389 RNA_seq_Bulk_ISCs_Young_Male_1 RNA_seq_Bulk_ISCs_Young…
- GSM6424390 RNA_seq_Bulk_ISCs_Young_Male_2 RNA_seq_Bulk_ISCs_Young…
- GSM6424391 RNA_seq_Bulk_ISCs_Young_Male_3 RNA_seq_Bulk_ISCs_Young…
- GSM6424392 RNA_seq_Bulk_ISCs_Young_Male_4 RNA_seq_Bulk_ISCs_Young…
- GSM6424393 RNA_seq_Bulk_ISCs_Young_Male_5 RNA_seq_Bulk_ISCs_Young…
- GSM6424394 RNA_seq_Bulk_ISCs_Young_Female_1 RNA_seq_Bulk_ISCs_Young…
- GSM6424395 RNA_seq_Bulk_ISCs_Young_Female_2 RNA_seq_Bulk_ISCs_Young…
- GSM6424396 RNA_seq_Bulk_ISCs_Young_Female_3 RNA_seq_Bulk_ISCs_Young…
- GSM6424397 RNA_seq_Bulk_ISCs_Young_Female_4 RNA_seq_Bulk_ISCs_Young…
- GSM6424398 RNA_seq_Bulk_ISCs_Young_Female_5 RNA_seq_Bulk_ISCs_Young…
- GSM6424399 RNA_seq_Bulk_ISCs_Young_Female_6 RNA_seq_Bulk_ISCs_Young…
- GSM6424400 RNA_seq_Bulk_ISCs_Aged_Male_1 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424401 RNA_seq_Bulk_ISCs_Aged_Male_2 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424402 RNA_seq_Bulk_ISCs_Aged_Male_3 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424403 RNA_seq_Bulk_ISCs_Aged_Male_4 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424404 RNA_seq_Bulk_ISCs_Aged_Male_5 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424405 RNA_seq_Bulk_ISCs_Aged_Male_6 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424406 RNA_seq_Bulk_ISCs_Aged_Male_7 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424407 RNA_seq_Bulk_ISCs_Aged_Female_1 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424408 RNA_seq_Bulk_ISCs_Aged_Female_2 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424409 RNA_seq_Bulk_ISCs_Aged_Female_3 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424410 RNA_seq_Bulk_ISCs_Aged_Female_4 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424411 RNA_seq_Bulk_ISCs_Aged_Female_5 RNA_seq_Bulk_ISCs_Aged_…
- GSM6424412 RNA_seq_Bulk_Progenitor cells_Young_Male_1 RNA_seq_Bulk_Progenitor…
- GSM6424413 RNA_seq_Bulk_Progenitor cells_Young_Male_2 RNA_seq_Bulk_Progenitor…
- GSM6424414 RNA_seq_Bulk_Progenitor cells_Young_Male_3 RNA_seq_Bulk_Progenitor…
- GSM6424415 RNA_seq_Bulk_Progenitor cells_Young_Male_4 RNA_seq_Bulk_Progenitor…
- GSM6424416 RNA_seq_Bulk_Progenitor cells_Young_Male_5 RNA_seq_Bulk_Progenitor…
- GSM6424417 RNA_seq_Bulk_Progenitor cells_Young_Female_1 RNA_seq_Bulk_Progenitor…
- GSM6424418 RNA_seq_Bulk_Progenitor cells_Young_Female_2 RNA_seq_Bulk_Progenitor…
- GSM6424419 RNA_seq_Bulk_Progenitor cells_Young_Female_3 RNA_seq_Bulk_Progenitor…
- GSM6424420 RNA_seq_Bulk_Progenitor cells_Young_Female_4 RNA_seq_Bulk_Progenitor…
- GSM6424421 RNA_seq_Bulk_Progenitor cells_Young_Female_5 RNA_seq_Bulk_Progenitor…
- GSM6424422 RNA_seq_Bulk_Progenitor cells_Aged_Male_1 RNA_seq_Bulk_Progenitor…
- GSM6424423 RNA_seq_Bulk_Progenitor cells_Aged_Male_2 RNA_seq_Bulk_Progenitor…
- GSM6424424 RNA_seq_Bulk_Progenitor cells_Aged_Male_3 RNA_seq_Bulk_Progenitor…
- GSM6424425 RNA_seq_Bulk_Progenitor cells_Aged_Male_4 RNA_seq_Bulk_Progenitor…
- GSM6424426 RNA_seq_Bulk_Progenitor cells_Aged_Male_5 RNA_seq_Bulk_Progenitor…
- GSM6424427 RNA_seq_Bulk_Progenitor cells_Aged_Female_1 RNA_seq_Bulk_Progenitor…
- GSM6424428 RNA_seq_Bulk_Progenitor cells_Aged_Female_2 RNA_seq_Bulk_Progenitor…
+ 104 more — browse all 144 samples with per-sample file links →
- GSE283495 Intestinal epithelial cell diversity and function in respect to age, anatomical localization, and microbial exposure - the global transcriptome 29 samples shares intestinal, epithelial, global
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares profiles, global
- GSE225514 Role of RANKL in mouse intestinal epithelial cells 28 samples shares intestinal, epithelial
- GSE247149 Type III interferons induce pyroptosis in gut epithelial cells and delay tissue restitution upon acute intestinal injury. 16 samples shares intestinal, epithelial
- GSE278384 Colonic Epithelial-derived FGF1 Protects against Inflammatory Bowel Disease via Driving Intestinal Stem Cells Differentiation toward Goblet Cells 12 samples shares intestinal, epithelial
- GSE282601 Intestinal epithelial cell EphB4 deficiency on high fat diet-induced obesity 16 samples shares intestinal, epithelial
- GSE237833 Intestinal epithelial cell NCoR deficiency ameliorates obesity and metabolic syndrome 14 samples shares intestinal, epithelial
- GSE333859 A global view of cell-type-specific temporal dynamics in mammalian aging 1496 samples shares global, aging
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.