Semaglutide and bariatric surgery induce distinct changes in the composition of mouse white adipose tissue
RNA-seq (gene expression) · mouse · 14 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
- 14 samples: 14 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
- Semaglutide and bariatric surgery induce distinct changes in the composition of mouse white adipose tissueMolecular metabolism · 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 GSE292928_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 PRJNA1241904 and SRA study SRP573099. 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 14 sample titles: 14 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.
- GSM8869536 multiplexed sample set 1, eWAT, GEX
- GSM8869537 multiplexed sample set 2, eWAT, GEX
- GSM8869538 multiplexed sample set 3, eWAT, GEX
- GSM8869539 multiplexed sample set 1, iWAT, GEX
- GSM8869540 multiplexed sample set 3, iWAT, GEX
- GSM8869541 multiplexed sample set 2+, WAT, GEX
- GSM8869542 multiplexed sample set 4, WAT, GEX
- GSM8869543 multiplexed sample set 1, eWAT, HTO
- GSM8869544 multiplexed sample set 2, eWAT, HTO
- GSM8869545 multiplexed sample set 3, eWAT, HTO
- GSM8869546 multiplexed sample set 1, iWAT, HTO
- GSM8869547 multiplexed sample set 3, iWAT, HTO
- GSM8869548 multiplexed sample set 2+, WAT, HTO
- GSM8869549 multiplexed sample set 4, WAT, HTO
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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.