Metformin reduces the competitive advantage of Dnmt3aR878H HSPCs [BulkRNA]
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 12 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
- Metformin reduces the competitive advantage of Dnmt3a(R878H) HSPCsNature · 2025
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 GSE255100_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 PRJNA1073519 and SRA study SRP488223. 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 12 sample titles: 12 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.
- GSM8064127 WT VEH-1 replicate
- GSM8064128 WT VEH-2 replicate
- GSM8064129 WT MET-1 replicate
- GSM8064132 RH VEH-2 replicate
- GSM8064133 RH MET-1 replicate
- GSM8064134 RH MET-2 replicate
- GSM8812315 WT VEH-4 replicate
- GSM8812316 WT MET-3 replicate
- GSM8812317 WT MET-4 replicate
- GSM8812318 RH VEH-3 replicate
- GSM8812319 RH VEH-4 replicate
- GSM8812320 RH MET-4 replicate
- GSE255101 Metformin reduces the competitive advantage of Dnmt3aR878H HSPCs 43 samples shares competitive, dnmt3ar878h, metformin, advantage, reduces, hspcs
- GSE255550 Metformin reduces the competitive advantage of Dnmt3aR878H HSPCs [ChIP-Seq] 9 samples shares competitive, dnmt3ar878h, metformin, advantage, reduces, hspcs
- GSE254822 Metformin reduces the competitive advantage of Dnmt3aR878H HSPCs [CITE-Seq] 8 samples shares competitive, dnmt3ar878h, metformin, advantage, reduces, hspcs
- GSE319230 Metformin reduces RAN proteins and rescues molecular and behavioral phenotypes in SCA8 mice 12 samples shares metformin, reduces
- GSE264041 TET2 Deficiency Increases the Competitive Advantage of Hematopoietic Stem Cells through Upregulation of Thrombopoietin Receptor Signaling 28 samples shares competitive, advantage
- GSE237750 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin 2113 samples shares metformin
- GSE237737 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [adipose] 705 samples shares metformin
- GSE237743 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [liver] 705 samples shares metformin
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.