Bile acid 7a-dehydroxylating bacteria accelerate injury-induced mucosal healing in the colon
RNA-seq (gene expression) · mouse · 40 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
- 40 samples: 11 × WT_control vs 10 × KO_treatment vs 10 × WT_treatment vs 9 × KO_controlGroups 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
- Bile acid 7α-dehydroxylating bacteria accelerate injury-induced mucosal healing in the colonEMBO molecular medicine · 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 GSE287080_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 PRJNA1211096 and SRA study SRP557753. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 40 samples.
How we read this: 4 replicated groups read from 40 sample titles; they account for 40 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.
- GSM8738315 WT_control1 WT_control
- GSM8738316 WT_control2 WT_control
- GSM8738317 WT_control3 WT_control
- GSM8738318 WT_control4 WT_control
- GSM8738319 WT_control5 WT_control
- GSM8738320 WT_control6 WT_control
- GSM8738321 WT_control7 WT_control
- GSM8738322 WT_control8 WT_control
- GSM8738323 WT_control9 WT_control
- GSM8738324 KO_treatment1 KO_treatment
- GSM8738325 KO_treatment2 KO_treatment
- GSM8738326 KO_treatment3 KO_treatment
- GSM8738327 KO_treatment4 KO_treatment
- GSM8738328 KO_treatment5 KO_treatment
- GSM8738329 KO_treatment6 KO_treatment
- GSM8738330 KO_treatment7 KO_treatment
- GSM8738331 WT_treatment1 WT_treatment
- GSM8738332 WT_treatment2 WT_treatment
- GSM8738333 WT_treatment3 WT_treatment
- GSM8738334 WT_treatment4 WT_treatment
- GSM8738335 WT_control10 WT_control
- GSM8738336 WT_control11 WT_control
- GSM8738337 WT_treatment5 WT_treatment
- GSM8738338 WT_treatment WT_treatment
- GSM8738339 WT_treatment6 WT_treatment
- GSM8738340 KO_control1 KO_control
- GSM8738341 KO_control2 KO_control
- GSM8738342 KO_control3 KO_control
- GSM8738343 KO_control4 KO_control
- GSM8738344 KO_control5 KO_control
- GSM8738345 KO_control6 KO_control
- GSM8738346 KO_control7 KO_control
- GSM8738347 KO_control8 KO_control
- GSM8738348 KO_control9 KO_control
- GSM8738349 KO_treatment8 KO_treatment
- GSM8738350 KO_treatment9 KO_treatment
- GSM8738351 KO_treatment10 KO_treatment
- GSM8738352 WT_treatment7 WT_treatment
- GSM8738353 WT_treatment8 WT_treatment
- GSM8738354 WT_treatment9 WT_treatment
- GSE278527 Clearance of p21-highly-expressing senescent cells accelerates cutaneous wound healing 36 samples shares accelerate, healing
- GSE309415 Bile acid receptor Tgr5 prevents macrophage hyperinflammation during bacterial sepsis through metabolic and epigenetic silencing 12 samples shares bacteria, bile
- GSE40821 Regulation of antibacterial defense in the small intestine by the nuclear bile acid receptor 6 samples shares bacteria, bile
- GSE331176 Phagosome-mediated activation of STING by purine and pyrimidine-based bacterial cyclic dinucleotides 380 samples shares bacteria
- GSE307881 Mouse Offspring Conceived by In Vitro Fertilization Exhibit Accelerated Reproductive Aging Through Early Ovarian Failure 151 samples shares accelerate
- GSE301965 Type I IFN impedes early bacterial control in TB-resistant and -susceptible mice and activates neutrophils to restrict lung macrophage-T cell interactions 72 samples shares bacteria
- GSE298786 Type I IFN impedes early bacterial control in TB-resistant and -susceptible mice and activates neutrophils to restrict lung macrophage-T cell interactions [RNA-seq] 70 samples shares bacteria
- GSE228579 Chronic stress disrupts hepatic homeostasis and accelerates liver cancer progression through ADRB2 signaling 66 samples shares accelerate
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.