Non-enzymatic SETD1A activity drives breast cancer cell proliferation via cyclin K. (ChIP-seq)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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)
- Samples
- 12 samples: 10 distinct titles, 2 of them repeatedGroups 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
- Non-enzymatic SETD1A activity drives breast cancer cell proliferation via cyclin KBreast cancer research : BCR · 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 GSE289276_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 PRJNA1222328 and SRA study SRP563178. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 12 sample titles: 10 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.
- GSM8788251 iCas9 KPL-1 cells, sgEmpty, SETD1A
- GSM8788252 iCas9 KPL-1 cells, sgSETD1A, SETD1A
- GSM8788253 iCas9 KPL-1 cells, sgSETD1A, rescued WT
- GSM8788254 iCas9 KPL-1 cells, sgSETD1A, rescued deltaSET
- GSM8788255 iCas9 KPL-1 cells, sgEmpty, H3K4me3
- GSM8788256 iCas9 KPL-1 cells, sgSETD1A, H3K4me3
- GSM8788257 iCas9 KPL-1 cells, sgEmpty, serine2
- GSM8788258 iCas9 KPL-1 cells, sgSETD1A, serine2
- GSM8788259 iCas9 KPL-1 cells, sgEmpty, RNAP2_rep1
- GSM8788260 iCas9 KPL-1 cells, sgSETD1A, RNAP2_rep1
- GSM8788261 iCas9 KPL-1 cells, sgEmpty, RNAP2_rep2
- GSM8788262 iCas9 KPL-1 cells, sgSETD1A, RNAP2_rep2
- GSE289278 Non-enzymatic SETD1A activity drives breast cancer cell proliferation via cyclin K. 20 samples shares setd1a, non-enzymatic, proliferation, activity, drives, breast, cyclin
- GSE304612 Inhibition of p300/CREBBP catalytic activity drives context-dependent transcriptional activation in AML. [ChIP-seq] 95 samples shares activity, chip-seq, drives
- GSE296831 Epigenetic Context Defines the Transcriptional Activity of Canonical and Noncanonical NF-kappaB Signaling in Pancreatic Cancer [ChIP-Seq] 48 samples shares activity, chip-seq
- GSE335783 A non-enzymatic role for METTL3 as an Androgen Receptor co-regulator promoting prostate cancer proliferation. 30 samples shares non-enzymatic, proliferation
- GSE299801 AS04 drives superior cross-protective antibody response by increased NOTCH signaling of Dendritic Cells and proliferation of memory B cells 16 samples shares proliferation, drives
- GSE278808 Mutations of schizophrenia risk gene SETD1A dysregulate synaptic function in human neurons 26 samples shares setd1a
- GSE263716 Epigenetic Analysis of SLE Disease Activity in Resting Naive (rN) and Transitional (T1T2) B cells 62 samples shares activity
- GSE237807 Multi-omics analysis of FOXO3 pioneer factor activity reveals distinct networks in proliferating and DNA damage induced senescent cells [ATAC-Seq] 42 samples shares activity
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.