Precise modulation of mSWI/SNF identified dosage-sensitive chromatin regulation (human cell)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 32 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
- 32 samples: 16 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
- Precise modulation of BRG1 levels reveals features of mSWI/SNF dosage sensitivityNature genetics · 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 GSE294015_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 PRJNA1247795 and SRA study SRP577144. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 16 replicated groups read from 32 sample titles; they account for 32 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.
- GSM8896511 WT BRG1 Cut&RUN rep1 WT BRG1 Cut&RUN
- GSM8896512 WT BRG1 Cut&RUN rep2 WT BRG1 Cut&RUN
- GSM8896513 WT BRM Cut&RUN rep1 WT BRM Cut&RUN
- GSM8896514 WT BRM Cut&RUN rep2 WT BRM Cut&RUN
- GSM8896515 BRM_KO BRG1 Cut&RUN rep1 BRM_KO BRG1 Cut&RUN
- GSM8896516 BRM_KO BRG1 Cut&RUN rep2 BRM_KO BRG1 Cut&RUN
- GSM8896517 BRM_KO BRM Cut&RUN rep1 BRM_KO BRM Cut&RUN
- GSM8896518 BRM_KO BRM Cut&RUN rep2 BRM_KO BRM Cut&RUN
- GSM8896519 BRM_KO H3K27Ac Cut&RUN rep1 BRM_KO H3K27Ac Cut&RUN
- GSM8896520 BRM_KO H3K27Ac Cut&RUN rep2 BRM_KO H3K27Ac Cut&RUN
- GSM8896521 BRM_KO H3K4me1 Cut&RUN rep1 BRM_KO H3K4me1 Cut&RUN
- GSM8896522 BRM_KO H3K4me1 Cut&RUN rep2 BRM_KO H3K4me1 Cut&RUN
- GSM8896523 BRM_KO H3K4me3 Cut&RUN rep1 BRM_KO H3K4me3 Cut&RUN
- GSM8896524 BRM_KO H3K4me3 Cut&RUN rep2 BRM_KO H3K4me3 Cut&RUN
- GSM8896525 BRM_KO MED1 Cut&RUN rep1 BRM_KO MED1 Cut&RUN
- GSM8896526 BRM_KO MED1 Cut&RUN rep2 BRM_KO MED1 Cut&RUN
- GSM8896527 WT 0nM ATAC-seq rep1 WT 0nM ATAC-seq
- GSM8896528 WT 0nM ATAC-seq rep2 WT 0nM ATAC-seq
- GSM8896529 WT 1000nM ATAC-seq rep1 WT 1000nM ATAC-seq
- GSM8896530 WT 1000nM ATAC-seq rep2 WT 1000nM ATAC-seq
- GSM8896531 BRM_KO 0nM ATAC-seq rep1 BRM_KO 0nM ATAC-seq
- GSM8896532 BRM_KO 0nM ATAC-seq rep2 BRM_KO 0nM ATAC-seq
- GSM8896533 BRM_KO 1000nM ATAC-seq rep1 BRM_KO 1000nM ATAC-seq
- GSM8896534 BRM_KO 1000nM ATAC-seq rep2 BRM_KO 1000nM ATAC-seq
- GSM8896535 BRM_KO 100nM ATAC-seq rep1 BRM_KO 100nM ATAC-seq
- GSM8896536 BRM_KO 100nM ATAC-seq rep2 BRM_KO 100nM ATAC-seq
- GSM8896537 BRM_KO 10nM ATAC-seq rep1 BRM_KO 10nM ATAC-seq
- GSM8896538 BRM_KO 10nM ATAC-seq rep2 BRM_KO 10nM ATAC-seq
- GSM8896539 BRM_KO 30nM ATAC-seq rep1 BRM_KO 30nM ATAC-seq
- GSM8896540 BRM_KO 30nM ATAC-seq rep2 BRM_KO 30nM ATAC-seq
- GSM8896541 BRM_KO 50nM ATAC-seq rep1 BRM_KO 50nM ATAC-seq
- GSM8896542 BRM_KO 50nM ATAC-seq rep2 BRM_KO 50nM ATAC-seq
- GSE328419 CBFA2T3-GLIS2 fusion-mediated mSWI/SNF chromatin remodeler disruption generates cancer-specific dependencies in AMKL [Cut & Run M-07e] 34 samples shares snf, chromatin, mswi
- GSE328418 CBFA2T3-GLIS2 fusion-mediated mSWI/SNF chromatin remodeler disruption generates cancer-specific dependencies in AMKL [Cut&Tag WSU-AML] 25 samples shares snf, chromatin, mswi
- GSE328416 CBFA2T3-GLIS2 fusion-mediated mSWI/SNF chromatin remodeler disruption generates cancer-specific dependencies in AMKL [Cut & Run] 19 samples shares snf, chromatin, mswi
- GSE328578 CBFA2T3-GLIS2 fusion-mediated mSWI/SNF chromatin remodeler disruption generates cancer-specific dependencies in AMKL 156 samples shares snf, chromatin, mswi
- GSE328503 CBFA2T3-GLIS2 fusion-mediated mSWI/SNF chromatin remodeler disruption generates cancer-specific dependencies in AMKL [RNA-Seq fhd286] 24 samples shares snf, chromatin, mswi
- GSE256316 SWI/SNF complex-mediated ZNF410 cooperative binding maintains chromatin accessibility and enhancer activity [ChIP-Seq] 121 samples shares snf, chromatin
- GSE261988 SWI/SNF is a gatekeeper of chromatin access at enhancer networks controlling triple-negative breast cancer progression [ChIP-Seq] 79 samples shares snf, chromatin
- GSE256317 SWI/SNF complex-mediated ZNF410 cooperative binding maintains chromatin accessibility and enhancer activity [ATAC-Seq] 32 samples shares snf, chromatin
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.