Systematic assessment of ISWI subunits reveals that NURF creates local accessibility for CTCF [Mnase-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 21 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
- Mus musculus (mouse)
- Samples
- 21 samples: 9 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
- Systematic assessment of ISWI subunits shows that NURF creates local accessibility for CTCFNature genetics · 2024
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 GSE234251_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 PRJNA980630 and SRA study SRP441370. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 9 replicated groups read from 21 sample titles; they account for 21 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.
- GSM7458212 MNaseSeq_ESC_acf1_ko_C_rep1 MNaseSeq_ESC_acf1_ko_C
- GSM7458213 MNaseSeq_ESC_acf1_ko_C_rep2 MNaseSeq_ESC_acf1_ko_C
- GSM7458214 MNaseSeq_ESC_bptf_ko_A_rep1 MNaseSeq_ESC_bptf_ko_A
- GSM7458215 MNaseSeq_ESC_bptf_ko_A_rep2 MNaseSeq_ESC_bptf_ko_A
- GSM7458216 MNaseSeq_ESC_bptf_ko_A_rep3 MNaseSeq_ESC_bptf_ko_A
- GSM7458217 MNaseSeq_ESC_cecr2_ko_B_rep1 MNaseSeq_ESC_cecr2_ko_B
- GSM7458218 MNaseSeq_ESC_cecr2_ko_B_rep2 MNaseSeq_ESC_cecr2_ko_B
- GSM7458219 MNaseSeq_ESC_cecr2_ko_B_rep3 MNaseSeq_ESC_cecr2_ko_B
- GSM7458220 MNaseSeq_ESC_rsf1_ko_A_rep1 MNaseSeq_ESC_rsf1_ko_A
- GSM7458221 MNaseSeq_ESC_rsf1_ko_A_rep2 MNaseSeq_ESC_rsf1_ko_A
- GSM7458222 MNaseSeq_ESC_tip5_ko_A_rep1 MNaseSeq_ESC_tip5_ko_A
- GSM7458223 MNaseSeq_ESC_tip5_ko_A_rep2 MNaseSeq_ESC_tip5_ko_A
- GSM7458224 MNaseSeq_ESC_wstf_ko_A_rep1 MNaseSeq_ESC_wstf_ko_A
- GSM7458225 MNaseSeq_ESC_wstf_ko_A_rep2 MNaseSeq_ESC_wstf_ko_A
- GSM7458226 MNaseSeq_ESC_wt_A_rep1 MNaseSeq_ESC_wt_A
- GSM7458227 MNaseSeq_ESC_wt_A_rep2 MNaseSeq_ESC_wt_A
- GSM7458228 MNaseSeq_ESC_wt_B_rep1 MNaseSeq_ESC_wt_B
- GSM7458229 MNaseSeq_ESC_wt_B_rep2 MNaseSeq_ESC_wt_B
- GSM7458230 MNaseSeq_ESC_wt_B_rep3 MNaseSeq_ESC_wt_B
- GSM7458231 MNaseSeq_ESC_wt_C_rep1 MNaseSeq_ESC_wt_C
- GSM7458232 MNaseSeq_ESC_wt_C_rep2 MNaseSeq_ESC_wt_C
- GSE234273 Systematic assessment of ISWI subunits reveals that NURF creates local accessibility for CTCF [ChIP-seq] 32 samples shares iswi, nurf, ctcf, accessibility, systematic, assessment, subunits
- GSE234288 Systematic assessment of ISWI subunits reveals that NURF creates local accessibility for CTCF [Cut&Run] 12 samples shares iswi, nurf, ctcf, accessibility, systematic, assessment, subunits
- GSE234248 Systematic assessment of ISWI subunits reveals that NURF creates local accessibility for CTCF [RNA-seq] 24 samples shares iswi, nurf, ctcf, accessibility, systematic, assessment, subunits
- GSE287375 CTCF-RNA interactions orchestrate cell-specific chromatin loop organization [ChIP-seq] 54 samples shares ctcf
- GSE278338 ChIP-seq to measure binding of NIPBL/MAU2, RAD21, and CTCF in mouse embryonic stem cells and neural progenitor cells 50 samples shares ctcf
- GSE253692 Pivotal Role of the NuRD Complex in Remodeling Chromatin Environment and Maintaining Genome Architecture at CTCF Sites [mESC_d0246_CTCF_MBD3_ChIP_Seq] 36 samples shares ctcf
- GSE243710 Analysis of three-dimensional enhancer network regulated by CTCF in CD4+ T cells [ChIP-seq] 33 samples shares ctcf
- GSE274792 CTCF tunes gene expression in a loop-dependent and -independent manner [ChIP-Seq] 30 samples shares ctcf
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.