Microbial metabolite drives ageing-related clonal haematopoiesis via ALPK1 [RNA-seq]
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 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
- Microbial metabolite drives ageing-related clonal haematopoiesis via ALPK1Nature · 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 GSE232794_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 PRJNA973978 and SRA study SRP438448. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM7383433 WT-H-1 WT-H
- GSM7383434 WT-H-2 WT-H
- GSM7383435 WT-H-3 WT-H
- GSM7383436 WT-A-1 WT-A
- GSM7383437 WT-A-2 WT-A
- GSM7383438 WT-A-3 WT-A
- GSM7383439 DM-H-1 DM-H
- GSM7383440 DM-H-2 DM-H
- GSM7383441 DM-H-3 DM-H
- GSM7383442 DM-A-1 DM-A
- GSM7383443 DM-A-2 DM-A
- GSM7383444 DM-A-3 DM-A
- GSM7383445 DMA-H-1 DMA-H
- GSM7383446 DMA-H-2 DMA-H
- GSM7383447 DMA-H-3 DMA-H
- GSM7383448 DMA-A-1 DMA-A
- GSM7383449 DMA-A-2 DMA-A
- GSM7383450 DMA-A-3 DMA-A
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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.