Genetic deletion of RUNX1 or RUNX2 in adipocytes enhanced beige fat formation
RNA-seq (gene expression) · mouse · 43 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
- 43 samples: 43 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
- Inhibition of adipocyte RUNX1/2 enhances adipose tissue thermogenesis through distinct mechanismsNature communications · 2026
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 GSE292084_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 PRJNA1236831 and SRA study SRP570720. 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 43 sample titles: 43 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.
- GSM8848677 BAT, OEV, replicate 1, RNA-seq
- GSM8848678 BAT, OEV, replicate 2, RNA-seq
- GSM8848679 BAT, OEV, replicate 3, RNA-seq
- GSM8848680 BAT, OE Runx1, replicate 1, RNA-seq
- GSM8848681 BAT, OE Runx1, replicate 2, RNA-seq
- GSM8848682 BAT, OE Runx1, replicate 3, RNA-seq
- GSM8848683 BAT, OE Runx2, replicate 1, RNA-seq
- GSM8848684 BAT, OE Runx2, replicate 2, RNA-seq
- GSM8848685 BAT, OE Runx2, replicate 3, RNA-seq
- GSM8848686 BAT, Knock out control, replicate 1, RNA-seq
- GSM8848687 BAT, Knock out control, replicate 2, RNA-seq
- GSM8848688 BAT, Knock out control, replicate 3, RNA-seq
- GSM8848689 BAT, Knock out Runx1, replicate 1, RNA-seq
- GSM8848690 BAT, Knock out Runx1, replicate 2, RNA-seq
- GSM8848691 BAT, Knock out Runx1, replicate 3, RNA-seq
- GSM8848692 BAT, Knock out Runx2, replicate 1, RNA-seq
- GSM8848693 BAT, Knock out Runx2, replicate 2, RNA-seq
- GSM8848694 BAT, Knock out Runx2, replicate 3, RNA-seq
- GSM8848695 BAT, Double knock out Runx1 and Runx2, replicate 1, RNA-seq
- GSM8848696 BAT, Double knock out Runx1 and Runx2, replicate 2, RNA-seq
- GSM8848697 BAT, Double knock out Runx1 and Runx2, replicate 3, RNA-seq
- GSM8848698 IWAT, Knock out Runx1 control, replicate 1, RNA-seq
- GSM8848699 IWAT, Knock out Runx1 control, replicate 2, RNA-seq
- GSM8848700 IWAT, Knock out Runx1 control, replicate 3, RNA-seq
- GSM8848701 IWAT, Knock out Runx1, replicate 1, RNA-seq
- GSM8848702 IWAT, Knock out Runx1, replicate 2, RNA-seq
- GSM8848703 IWAT, Knock out Runx1, replicate 3, RNA-seq
- GSM8848704 IWAT, Knock out Runx2 control, replicate 1, RNA-seq
- GSM8848705 IWAT, Knock out Runx2 control, replicate 2, RNA-seq
- GSM8848706 IWAT, Knock out Runx2 control, replicate 3, RNA-seq
- GSM8848707 IWAT, Knock out Runx2, replicate 1, RNA-seq
- GSM8848708 IWAT, Knock out Runx2, replicate 2, RNA-seq
- GSM8848709 IWAT, Knock out Runx2, replicate 3, RNA-seq
- GSM9485561 HFD, WT, replicate 1, RNA-seq
- GSM9485562 HFD, WT, replicate 2, RNA-seq
- GSM9485565 HFD, WT, replicate 3, RNA-seq
- GSM9485566 HFD, Knock out Runx1, replicate 1, RNA-seq
- GSM9485567 HFD, Knock out Runx1, replicate 2, RNA-seq
- GSM9485568 HFD, Knock out Runx1, replicate 3, RNA-seq
- GSM9485569 BAT, Full length Runx2, replicate 1, RNA-seq
+ 3 more — browse all 43 samples with per-sample file links →
- GSE292265 Genetic deletion of RUNX1 or RUNX2 in adipocytes enhanced beige fat formation [ChIP-Seq; CUT&Tag] 56 samples shares runx1, runx2, adipocytes, formation, deletion, enhanced, genetic, beige
- GSE218943 Transcriptional profiling of mature murine adipocytes of the inguinal white adipose tissue depot following LPCAT3 deletion and dietary PUFA manipulation 30 samples shares adipocytes, deletion
- GSE232928 Transcriptional profiling of mature murine adipocytes of the inguinal white adipose tissue depot following LPCAT3 deletion and HFD-induced adipose hypertrophy. 24 samples shares adipocytes, deletion
- GSE261783 Identification of epigenetic regulators of fibrotic transformation in cardiac fibroblasts through bulk and single-cell CRISPR screens [scRNA-seq] 10 samples shares formation, genetic
- GSE295926 Maternal Vitamin C Deficiency and Genetic Risk Factors Contribute to Congenital Malformations through Dysregulation of DNA Methylation. 67 samples shares formation, genetic
- GSE261740 Identification of epigenetic regulators of fibrotic transformation in cardiac fibroblasts through bulk and single-cell CRISPR screens (ATAC-Seq) 35 samples shares formation, genetic
- GSE316271 Bulk RNA-seq profiling of p53-deficient mammary tumors driven by Runx1 and/or Rb1 loss 14 samples shares runx1
- GSE260492 Diminished arachidonate 5-lipoxygenase perturbs phase separation and transcriptional response of Runx2 to reverse pathological ventricular remodeling 12 samples shares runx2
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.