MCF7 ChIP-seq
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 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
- 10 samples: 5 conditions, mostly in duplicateGroups 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
- Estrogen receptor signaling drives immune evasion and immunotherapy resistance in HR+ breast cancerThe Journal of clinical investigation · 2026
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 GSE292768_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 PRJNA1241225 and SRA study SRP572690. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 5 replicated groups read from 10 sample titles; they account for 10 of them. 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.
- GSM8864952 MCF-7 Input repliate 1 MCF-7 Input repliate
- GSM8864953 MCF-7 Input repliate 2 MCF-7 Input repliate
- GSM8864954 MCF-7 Ctrl vector replicate 1 MCF-7 Ctrl vector
- GSM8864955 MCF-7 Ctrl vector replicate 2 MCF-7 Ctrl vector
- GSM8864956 MCF-7 LCOR replicate 1 MCF-7 LCOR
- GSM8864957 MCF-7 LCOR replicate 2 MCF-7 LCOR
- GSM8864958 MCF-7 LCOR + Fulvestrant replicate 1 MCF-7 LCOR + Fulvestrant
- GSM8864959 MCF-7 LCOR + Fulvestrant replicate 2 MCF-7 LCOR + Fulvestrant
- GSM8864960 MCF-7 LSKAA replicate 1 MCF-7 LSKAA
- GSM8864961 MCF-7 LSKAA replicate 2 MCF-7 LSKAA
- GSE336801 Transcriptomic profiling of MCF7 and ZR-75-1 parental and RB1 knockout cells treated with palbociclib 24 samples shares mcf7
- GSE307693 Transcriptomic profiling in estrogen-receptor positive cell line MCF7 following treatment with abemaciclib and fulvestrant 24 samples shares mcf7
- GSE267064 Effect of miR-662 and miR-24-2-5p overexpressions on gene expression in human MDA-MB-231-luc2-NW1 (NW1) and MCF7 cell lines. 15 samples shares mcf7
- GSE307843 Transcriptomic profiling in MCF7 parent and RB1 knockout cells following treatment with abemaciclib 12 samples shares mcf7
- GSE280574 mChIP-seq for high-throughput epigenomic profiling reveals a decoupling of H2A.Z and H3K4me3 in cancer 576 samples shares chip-seq
- GSE271752 Macromolecular interactions dictate Polycomb-mediated epigenetic repression [ChIP-seq] 194 samples shares chip-seq
- GSE277608 Characterization of induced cohesin loop extrusion trajectories in living cells [ChIP-seq] 147 samples shares chip-seq
- GSE299672 PHIP suppresses NuRD to enable the growth of SWI/SNF-mutant cancers [ChIP-seq] 132 samples shares chip-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.