KMT2C Deficiency Drives Luminal Transdifferentiation into Double-Negative Prostate Cancer and Sensitizes to Fatty Acid Synthase Inhibition [CUT&Tag]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 26 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Topic
- Prostate cancerThis series is part of our curated briefing on it.
- Samples
- 26 samples: 26 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 GSE267775_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1112845 and SRA study SRP511353. 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 26 sample titles: 26 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.
- GSM8278577 TP-Veh-H3K4me1_CUT&Tag
- GSM8278578 TP-ENZ-H3K4me1_CUT&Tag
- GSM8278579 TPK-Veh-H3K4me1_CUT&Tag
- GSM8278580 TPK-ENZ-H3K4me1_CUT&Tag
- GSM8278581 TP-Veh-H3K27ac_CUT&Tag
- GSM8278582 TP-ENZ-H3K27ac_CUT&Tag
- GSM8278583 TPK-Veh-H3K27ac_CUT&Tag
- GSM8278584 TPK-ENZ-H3K27ac_CUT&Tag
- GSM8278585 TP-Veh-Kmt2c_CUT&Tag
- GSM8278586 TP-ENZ-Kmt2c_CUT&Tag
- GSM8278587 TPK-Veh-Kmt2c_CUT&Tag
- GSM8278588 TPK-ENZ-Kmt2c_CUT&Tag
- GSM8278589 TPK-ENZ-H3K4me3_CUT&Tag
- GSM8278590 TP-Veh-AR_CUT&Tag
- GSM8278591 TP-ENZ-AR_CUT&Tag
- GSM8278592 TPK-Veh-AR_CUT&Tag
- GSM8278593 TPK-ENZ-AR_CUT&Tag
- GSM8278594 TP-Veh-ΔNp63_CUT&Tag
- GSM8278595 TP-ENZ-ΔNp63_CUT&Tag
- GSM8278596 TPK-Veh-ΔNp63_CUT&Tag
- GSM8278597 TPK-ENZ-ΔNp63_CUT&Tag
- GSM8278598 TPK-ENZ-SREBF1C_CUT&Tag
- GSM8703955 TP-AR_restore-AR_CUT&Tag
- GSM8703956 TP-AR_restore-KMT2C_CUT&Tag
- GSM8703957 PDO-WGH_KMT2C-WT_H3K4me1
- GSM8703958 PDO-WGH_KMT2C-T316S_H3K4me1
- GSE242541 ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity 12 samples same disease briefing · shares cut
- GSE115501 RNA sequencing on circulating tumor cells from prostate cancer patients 136 samples same disease briefing · shares prostate
- GSE222467 The RNA binding proteins LARP4A and LARP4B promote tumour growth and metastasis in prostate cancer and osteosarcoma 12 samples same disease briefing · shares prostate
- GSE300947 A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors 6 samples same disease briefing · shares prostate
- GSE120181 Human prostate cancer cell line, 22Rv1: Control vs. luteolin treatment 2 samples same disease briefing · shares prostate
- GSE71008 Plasma extracellular RNA profiles in healthy and cancer patients 192 samples same disease briefing
- GSE278481 EZH2 INHIBITION ENHANCES T CELL IMMUNOTHERAPIES BY INDUCING LYMPHOMA IMMUNOGENICITY AND IMPROVING T CELL FUNCTION (CUT&RUN) 16 samples shares cut, inhibition
- GSE218716 EZH2 gain-of-function mutations distort H3K27me3 landscapes and transform transcriptional responses to PRC2 inhibition [ChIP-Seq/Cut&Run-Seq] 156 samples shares cut, inhibition
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.