CHD4 Interacts With TBX5 to Maintain the Gene Regulatory Network of Postnatal Atrial Cardiomyocytes
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
- 16 samples: 16 × 24159FL-25Groups 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
- TBX5 and CHD4 Coordinately Activate Atrial Cardiomyocyte Genes to Maintain Cardiac Rhythm HomeostasisCirculation · 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 GSE296675_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 PRJNA1260502 and SRA study SRP583930. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 1 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8974507 24159FL-25-01 24159FL-25
- GSM8974508 24159FL-25-02 24159FL-25
- GSM8974509 24159FL-25-03 24159FL-25
- GSM8974510 24159FL-25-04 24159FL-25
- GSM8974511 24159FL-25-05 24159FL-25
- GSM8974512 24159FL-25-06 24159FL-25
- GSM8974513 24159FL-25-07 24159FL-25
- GSM8974514 24159FL-25-08 24159FL-25
- GSM8974515 24159FL-25-09 24159FL-25
- GSM8974516 24159FL-25-10 24159FL-25
- GSM8974517 24159FL-25-11 24159FL-25
- GSM8974518 24159FL-25-12 24159FL-25
- GSM8974519 24159FL-25-13 24159FL-25
- GSM8974520 24159FL-25-14 24159FL-25
- GSM8974521 24159FL-25-15 24159FL-25
- GSM8974522 24159FL-25-16 24159FL-25
- GSE233905 Transcription factor TCF1 binds Rorgt and orchestrates a regulatory network that determines homeostatic Th17 cell state [ATAC-seq] 13 samples shares regulatory, network
- GSE280128 The LHX1 Gene Regulatory Network Represses Pluripotency and Modulates Multiple Signaling Pathways to Specify the Embryonic Head [Embryo_ATAC-seq] 12 samples shares regulatory, network
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares regulatory, network
- GSE233057 A gene regulatory network of the endothelial-to-hematopoietic transition 63 samples shares regulatory, network
- GSE200054 Genome-wide analysis of microRNA-mRNA gene regulatory networks reveals widespread involvement of microRNAs in visually guided eye emmetropization and myopia 40 samples shares regulatory, network
- GSE290082 Enhancer-driven gene regulatory networks reveal transcription factors governing T cell adaptation and differentiation in the tumor microenvironment. 25 samples shares regulatory, network
- GSE236450 SEAMoD: A fully interpretable neural network for cis-regulatory analysis of differentially expressed genes 24 samples shares regulatory, network
- GSE288206 Single-nucleus multiomics of murine gonads reveals gene-regulatory networks underlying sex determination 24 samples shares regulatory, network
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.