Utx (Kdm6a) promotes differentiation non-catalytically in somatic self-renewing epithelia [RNA-seq]
RNA-seq (gene expression) · mouse · 28 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
- 28 samples
- 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
- UTX (KDM6A) promotes differentiation noncatalytically in somatic self-renewing epitheliaProceedings of the National Academy of Sciences of the United States of America · 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 GSE295058_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 PRJNA1252736 and SRA study SRP579709. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run U0110 … U0128 and carry no group information.
- GSM8941257 U0110
- GSM8941258 U0111
- GSM8941259 U0254
- GSM8941260 U0465
- GSM8941261 U0255
- GSM8941262 U0256
- GSM8941263 U0460
- GSM8941264 U0114
- GSM8941265 U0115
- GSM8941266 U0252
- GSM8941267 U0253
- GSM8941268 U0468
- GSM8941269 U0113
- GSM8941270 U0458
- GSM8941271 U0223
- GSM8941272 U0112
- GSM8941273 U0462
- GSM8941274 U0224
- GSM8941275 U603
- GSM8941276 U0138
- GSM8941277 U601
- GSM8941278 U0137
- GSM8941279 U28
- GSM8941280 U143
- GSM8941281 U0127
- GSM8941282 U30
- GSM8941283 U140
- GSM8941284 U0128
- GSE294851 Utx (Kdm6a) promotes differentiation non-catalytically in somatic self-renewing epithelia [ChIP-seq] 17 samples shares kdm6a, non-catalytically, self-renewing, epithelia, promotes, somatic
- GSE317252 Enhanced mitophagy promotes lung repair and regeneration by restoring epithelial metabolic fitness [RNA-Seq] 16 samples shares epithelia, promotes, rna-seq
- GSE342447 TH-positive pulmonary nerve fiber-epithelial interaction promotes adipose thermogenesis in male mice [C22_RNA-seq] 4 samples shares epithelia, promotes, rna-seq
- GSE279278 KDM6A facilitates Xist upregulation at the onset of X inactivation [RNA-Seq] 18 samples shares kdm6a, rna-seq
- GSE237287 Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3 [RNA-seq] 18 samples shares kdm6a, rna-seq
- GSE269973 Signaling basis of gastric epithelial cell differentiation revealed by human and mouse organoids [RNA-Seq] 32 samples shares epithelia, rna-seq
- GSE327565 Sustained Yap/Taz activation promotes aberrant alveolar epithelial cell differentiation and drives persistent fibrotic remodeling 14 samples shares epithelia, promotes
- GSE307773 Oncogenic MAPK signalling induces epithelial cell state change and therapeutic resistance in vivo [RNA-Seq] 175 samples shares epithelia, rna-seq
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.