H3K27ac and H3K27me3 ChIP-seq analysis for MDA-MB-468 cells treated with SAHA and sonidedgib
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 30 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
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 30 samples: 10 conditions, mostly in triplicateGroups 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.
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 GSE189215_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 PRJNA781990 and SRA study SRP346954. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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.
- GSM5696227 H3K27ac_con_1 H3K27ac_con
- GSM5696228 H3K27ac_con_2 H3K27ac_con
- GSM5696229 H3K27ac_con_3 H3K27ac_con
- GSM5696230 H3K27me3_con_1 H3K27me3_con
- GSM5696231 H3K27me3_con_2 H3K27me3_con
- GSM5696232 H3K27me3_con_3 H3K27me3_con
- GSM5696233 Input_of_H3K27ac_con_1 Input_of_H3K27ac_con
- GSM5696234 Input_of_H3K27ac_con_2 Input_of_H3K27ac_con
- GSM5696235 Input_of_H3K27ac_con_3 Input_of_H3K27ac_con
- GSM5696236 Input_of_H3K27me3_con_1 Input_of_H3K27me3_con
- GSM5696237 Input_of_H3K27me3_con_2 Input_of_H3K27me3_con
- GSM5696238 Input_of_H3K27me3_con_3 Input_of_H3K27me3_con
- GSM5696239 H3K27me3_sonidedgib_1 H3K27me3_sonidedgib
- GSM5696240 H3K27me3_sonidedgib_2 H3K27me3_sonidedgib
- GSM5696241 H3K27me3_sonidedgib_3 H3K27me3_sonidedgib
- GSM5696242 Input_of_H3K27me3_sonidedgib_1 Input_of_H3K27me3_sonid…
- GSM5696243 Input_of_H3K27me3_sonidedgib_2 Input_of_H3K27me3_sonid…
- GSM5696244 Input_of_H3K27me3_sonidedgib_3 Input_of_H3K27me3_sonid…
- GSM5696245 H3K27ac_SAHA+sonidedgib_1 H3K27ac_SAHA+sonidedgib
- GSM5696246 H3K27ac_SAHA+sonidedgib_2 H3K27ac_SAHA+sonidedgib
- GSM5696247 H3K27ac_SAHA+sonidedgib_3 H3K27ac_SAHA+sonidedgib
- GSM5696248 Input_of_H3K27ac_SAHA+sonidedgib_1 Input_of_H3K27ac_SAHA+s…
- GSM5696249 Input_of_H3K27ac_SAHA+sonidedgib_2 Input_of_H3K27ac_SAHA+s…
- GSM5696250 Input_of_H3K27ac_SAHA+sonidedgib_3 Input_of_H3K27ac_SAHA+s…
- GSM5696251 H3K27ac_SAHA_1 H3K27ac_SAHA
- GSM5696252 H3K27ac_SAHA_2 H3K27ac_SAHA
- GSM5696253 H3K27ac_SAHA_3 H3K27ac_SAHA
- GSM5696254 Input_of_H3K27ac_SAHA_1 Input_of_H3K27ac_SAHA
- GSM5696255 Input_of_H3K27ac_SAHA_2 Input_of_H3K27ac_SAHA
- GSM5696256 Input_of_H3K27ac_SAHA_3 Input_of_H3K27ac_SAHA
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing
- GSE104193 Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signalling and malignant features in vitro and in vivo 32 samples same disease briefing
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing
- GSE187427 RNA-seq analysis for MDA-MB-468 cells treated with SAHA and sonidedgib 12 samples shares mda-mb-468, saha, sonidedgib, treated
- GSE298692 ChIP-seq analysis for H3K4me3, H3K27ac, H3K27me3, p-STAT3, POU2AF1 and ELL2 in MM.1S cells 14 samples shares h3k27me3, h3k27ac, chip-seq
- GSE315129 ChIP-seq analysis of H3K27ac changes in pancreatic cancer cells treated with EZH2 and KRAS inhibitors 8 samples shares h3k27ac, chip-seq, treated
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.