KMT2C Deficiency Drives Luminal Transdifferentiation into Double-Negative Prostate Cancer and Sensitizes to Fatty Acid Synthase Inhibition [RNA-Seq]
RNA-seq (gene expression) · mouse · 22 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
- 22 samples: 22 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
- KMT2C deficiency drives transdifferentiation of double-negative prostate cancer and confer resistance to AR-targeted therapyCancer cell · 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 GSE267771_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 PRJNA1112830 and SRA study SRP508382. 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 22 sample titles: 22 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.
- GSM8275463 PP-A_RNA-seq
- GSM8275464 PP-B_RNA-seq
- GSM8275465 PPK-A_RNA-seq
- GSM8275466 PPK-B_RNA-seq
- GSM8275467 PP_ADT-A_RNA-seq
- GSM8275468 PP_ADT-B_RNA-seq
- GSM8275469 PPK_ADT-A_RNA-seq
- GSM8275470 PPK_ADT-B_RNA-seq
- GSM8275471 TP_ENZ-A_RNA-seq
- GSM8275472 TP_ENZ-B_RNA-seq
- GSM8275473 TPK_ENZ-A_RNA-seq
- GSM8275474 TPK_ENZ-B_RNA-seq
- GSM8275475 TPKP_ENZ-A_RNA-seq
- GSM8275476 TPKP_ENZ-B_RNA-seq
- GSM8275477 TPK_Sham_Veh-A_RNA-seq
- GSM8275478 TPK_Sham_Veh-B_RNA-seq
- GSM8275479 TPK_Sham_TVB2640-A_RNA-seq
- GSM8275480 TPK_Sham_TVB2640-B_RNA-seq
- GSM8275481 TPK_DNPC_Veh-A_RNA-seq
- GSM8275482 TPK_DNPC_Veh-B_RNA-seq
- GSM8275483 TPK_DNPC_TVB2640-A_RNA-seq
- GSM8275484 TPK_DNPC_TVB2640-B_RNA-seq
- GSE243869 KMT2C deficiency enhances HSC mobilization and granulocyte bias in response to G-CSF 78 samples shares kmt2c, deficiency
- GSE260623 Germline ELP1 deficiency sensitizes cerebellar granule neuron progenitors to SHH medulloblastoma [bulkRNA] 91 samples shares deficiency, sensitizes
- GSE290464 Noncanonical role of NCOR1 as a facilitator of DNA mismatch repair and its deficiency sensitizes cancers to immune checkpoint blockade therapy 18 samples shares deficiency, sensitizes
- GSE335970 KMT2C catalytic activity regulates enhancer H3K4me1 and synaptic gene expression in cortical excitatory neurons [RNA-Seq] 39 samples shares kmt2c
- GSE325800 KMT2C and KMT2D amplify GRHL2-driven enhancer activation [RNA-Seq] 30 samples shares kmt2c
- GSE263358 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [RNA-seq] 21 samples shares kmt2c
- GSE237287 Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3 [RNA-seq] 18 samples shares kmt2c
- GSE292432 Single cell RNA sequencing analysis following Kmt2c/Kmt2d and Pten knockout in mouse stomach mucosa. 10 samples shares kmt2c
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.