Prevention of cholestatic liver disease through BCL6-FXR enterohepatic crosstalk [RNA-seq]
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 16 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
- Prevention of Cholestatic Liver Disease Through BCL6-FXR Enterohepatic CrosstalkCellular and molecular gastroenterology and hepatology · 2026
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 GSE290309_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 PRJNA1227463 and SRA study SRP565901. 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 16 sample titles: 16 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.
- GSM8810249 P6339_MWT_Rep1
- GSM8810250 P6340_MWT_Rep2
- GSM8810251 P6341_MWT_Rep3
- GSM8810252 P6359_MWT_Rep4
- GSM8810253 P6360_MLKO_Rep1
- GSM8810254 P6392_MLKO_Rep2
- GSM8810255 P6395_MLKO_Rep3
- GSM8810256 P6444_MLKO_Rep4
- GSM8810257 P6308_FWT_Rep1
- GSM8810258 P6309_FWT_Rep2
- GSM8810259 P6342_FWT_Rep3
- GSM8810260 P6362_FWT_Rep4
- GSM8810261 P6310_FLKO_Rep1
- GSM8810262 P6361_FLKO_Rep2
- GSM8810263 P6363_FLKO_Rep3
- GSM8810264 P6364_FLKO_Rep4
- GSE296552 Prevention of cholestatic liver disease through BCL6-FXR enterohepatic crosstalk 8 samples shares bcl6-fxr, enterohepatic, cholestatic, prevention, crosstalk, liver
- GSE290307 Prevention of cholestatic liver disease through BCL6-FXR enterohepatic crosstalk [ChIP-seq] 6 samples shares bcl6-fxr, enterohepatic, cholestatic, prevention, crosstalk, liver
- GSE264209 AV8 gene therapy and environmental exposure precipitate cholestatic liver disease in a mouse model of X-linked myotubular myopathy 26 samples shares cholestatic, liver
- GSE289033 Blocking a Lipid Messenger from Osteocytes: A Novel Strategy for Prevention and Treatment of Metabolic Associated Fatty Liver Disease 9 samples shares prevention, liver
- GSE263093 Activation of Nrf2/HO-1 signaling pathway exacerbates cholestatic liver injury 9 samples shares cholestatic, liver
- GSE255293 Senkyunolide A interrupts TRAF6-HDAC3 interaction to epigenetically suppress c-MYC and attenuate cholestatic liver injury 9 samples shares cholestatic, liver
- GSE311100 Decoding the Cell-Type and Spatial Roles of H19 in Cholestatic Liver Injury Through Single-Nucleus and Spatial Transcriptomics 13 samples shares cholestatic, liver
- GSE301392 Elucidating the Mechanisms of SA-4-1BBL Immunoprevention Through Advanced Informatics Approaches 62 samples shares prevention
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.