Rectal RNA-seq of mice treated with a multistrain Lactobacillus/Bifidobacterium-derived postbiotic (IBM)
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 12 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
- Postbiotic Metabolites from a 31-Strain Lactobacillus/Bifidobacterium Co-Culture Attenuate DSS Colitis with Barrier- and Circadian-Linked Transcriptomic SignaturesBiology · 2026
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 GSE319538_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 PRJNA1423691 and SRA study SRP677082. 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 12 sample titles: 12 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.
- GSM9519416 male C57BL/6NJ mice 1, rectal tissue, control, Day7
- GSM9519417 male C57BL/6NJ mice 2, rectal tissue, control, Day7
- GSM9519418 male C57BL/6NJ mice 3, rectal tissue, control, Day7
- GSM9519419 male C57BL/6NJ mice 4, rectal tissue, control, Day7
- GSM9519420 male C57BL/6NJ mice 5, rectal tissue, control, Day7
- GSM9519421 male C57BL/6NJ mice 6, rectal tissue, control, Day7
- GSM9519422 male C57BL/6NJ mice 7, rectal tissue, IBM, Day7
- GSM9519423 male C57BL/6NJ mice 8, rectal tissue, IBM, Day7
- GSM9519424 male C57BL/6NJ mice 9, rectal tissue, IBM, Day7
- GSM9519425 male C57BL/6NJ mice 10, rectal tissue, IBM, Day7
- GSM9519426 male C57BL/6NJ mice 11, rectal tissue, IBM, Day7
- GSM9519427 male C57BL/6NJ mice 12, rectal tissue, IBM, Day7
- GSE320243 Triptolide clears Staphylococcus aureus infection by targeting XIAP to induce host apoptosis while preserving gut microbiota homeostasis [iBMDMs] 6 samples shares ibm
- GSE174214 FK506 and Lactobacillus acidophilus Ameliorate Acute Graft-Versus-Host Disease by Modulating the T Helper 17/Regulatory T-Cell Balance 12 samples shares lactobacillus
- GSE185601 RNA_Seq of recipients mice with Klebsiella and Lactobacillus 8 samples shares lactobacillus
- GSE291764 Latilactobacillus sakei Wikim0185 alleviates allergic asthma by inducing tolerogenic dendritic cells through epigenetic rewriting 6 samples shares lactobacillus
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.