Hyodeoxycholic Acid Suppresses Hepatosteatosis via GLP-1/iNKT Cell Crosstalk and PPARα Activation (Bulk RNA-seq)
RNA-seq (gene expression) · mouse · 9 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
- 9 samples: 3 × ND vs 3 × HFD vs 3 × HDCAGroups 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.
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 GSE288227_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 PRJNA1216600 and SRA study SRP560473. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM8761548 ND1 ND
- GSM8761549 ND2 ND
- GSM8761550 ND3 ND
- GSM8761551 HFD1 HFD
- GSM8761552 HFD2 HFD
- GSM8761553 HFD3 HFD
- GSM8761554 HDCA1 HDCA
- GSM8761555 HDCA2 HDCA
- GSM8761556 HDCA3 HDCA
- GSE288229 Hyodeoxycholic Acid Suppresses Hepatosteatosis via GLP-1/iNKT Cell Crosstalk and PPARα Activation (scRNAseq_CD4+ lymphocytes) 6 samples shares glp-1, ppar, hepatosteatosis, hyodeoxycholic, suppresses, activation, crosstalk
- GSE314029 An unimolecular GIPR:GLP-1R:PPAR , , quintuple agonist eliminates obesity and insulin resistance in mice. 159 samples shares glp-1, ppar
- GSE280382 Functional and multi-omic aging rejuvenation with GLP-1R agonism [bulk RNA-seq] 620 samples shares glp-1, rna-seq
- GSE303716 Nodal/Smad2 signaling sustains developmental pausing by repressing Pparg -mediated lipid metabolism [RNA-Seq] 24 samples shares ppar, rna-seq
- GSE252899 PPARg T166 phosphorylation-mediated lipid synthesis sustains the reparative function of macrophages during tissue repair [RNA-seq] 18 samples shares ppar, rna-seq
- GSE267192 PPARγ-dependent Remodeling of Translational Machinery in Adipose Progenitors is Impaired in Obesity [scRNA-seq] 12 samples shares ppar, rna-seq
- GSE238201 Loss of PPARα function promotes epigenetic dysregulation of lipid homeostasis driving ferroptosis and pyroptosis lipotoxicity in Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) [RNA-seq] 12 samples shares ppar, rna-seq
- GSE286997 FGF2 Mediated USP42-PPAR Axis Activation Ameliorates Liver Oxidative Damage and Promotes Regeneration 12 samples shares ppar, activation
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.