Multi-omics analysis of thermogenic lipolysis in brown adipocytes
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 × BMC, 0 h, vs 6 × BMC, 4 h, vs 6 × BMC, 24 h,Groups 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
- Multi-omics analysis of thermogenic lipolysis in brown adipocytesiScience · 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 GSE291567_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 PRJNA1234155 and SRA study SRP569248. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8837796 BMC, 0 h, 1 BMC, 0 h,
- GSM8837797 BMC, 0 h, 2 BMC, 0 h,
- GSM8837798 BMC, 0 h, 3 BMC, 0 h,
- GSM8837799 BMC, 0 h, 4 BMC, 0 h,
- GSM8837800 BMC, 0 h, 5 BMC, 0 h,
- GSM8837801 BMC, 0 h, 6 BMC, 0 h,
- GSM8837802 BMC, 4 h, 1 BMC, 4 h,
- GSM8837803 BMC, 4 h, 2 BMC, 4 h,
- GSM8837804 BMC, 4 h, 3 BMC, 4 h,
- GSM8837805 BMC, 4 h, 4 BMC, 4 h,
- GSM8837806 BMC, 4 h, 5 BMC, 4 h,
- GSM8837807 BMC, 4 h, 6 BMC, 4 h,
- GSM8837808 BMC, 24 h, 1 BMC, 24 h,
- GSM8837809 BMC, 24 h, 2 BMC, 24 h,
- GSM8837810 BMC, 24 h, 3 BMC, 24 h,
- GSM8837811 BMC, 24 h, 4 BMC, 24 h,
- GSM8837812 BMC, 24 h, 5 BMC, 24 h,
- GSM8837813 BMC, 24 h, 6 BMC, 24 h,
- GSE315093 A nuclear ERK–ATF5 axis coordinates mitochondrial metabolism and thermogenic gene expression in brown adipocytes 10 samples shares thermogenic, adipocytes, brown
- GSE271207 2-hydroxyglutarate mediates whitening of brown adipocytes coupled to nuclear softening upon mitochondrial dysfunction 16 samples shares adipocytes, brown
- GSE306505 The innate thermogenic capacity of brown adipose tissue develops independently of sympathetic signaling 14 samples shares thermogenic, brown
- GSE271358 2-hydroxyglutarate mediates whitening of brown adipocytes coupled to nuclear softening upon mitochondrial dysfunction II 12 samples shares adipocytes, brown
- GSE304220 Cancer cachexia induces senescent reprogramming of brown adipose tissue and pro-cachectic S100A9 secretion by adipocytes 8 samples shares adipocytes, brown
- GSE296541 2-hydroxyglutarate mediates whitening of brown adipocytes coupled to nuclear softening upon mitochondrial dysfunction 15 samples shares adipocytes, brown
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares multi-omics
- GSE276018 Integrated Multi-Omics Analysis Reveals Epigenetic and Sex-Specific Alterations in Colorectal Cancer Cachexia 88 samples shares multi-omics
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.