CTDP1 governs a unique RNAPII phospho-form and coordinates Mediator recruitment, transcription efficiency, and splicing
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 44 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
- 44 samples: 22 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.
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 GSE312502_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 PRJNA1371117. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 44 samples.
How we read this: 22 replicated groups read from 44 sample titles; they account for 44 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.
- GSM9347444 ChIP-Seq_mES_RPB1NTD_CTDP1-13h_dTAG-0min_rep1 ChIP-Seq_mES_RPB1NTD_CT…
- GSM9347445 ChIP-Seq_mES_RPB1NTD_CTDP1-13h_dTAG-0min_rep2 ChIP-Seq_mES_RPB1NTD_CT…
- GSM9347446 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-0min_rep1 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347447 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-0min_rep2 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347448 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-20min_rep1 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347449 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-20min_rep2 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347450 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-40min_rep1 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347451 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-40min_rep2 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347452 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-60min_rep1 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347453 ChIP-Seq_mES_RPB1NTD_deadCTDP1-13h_dATG-60min_rep2 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347454 ChIP-Seq_mES_MED1_CTDP1-12h_rep1 ChIP-Seq_mES_MED1_CTDP1…
- GSM9347455 ChIP-Seq_mES_MED1_CTDP1-12h_rep2 ChIP-Seq_mES_MED1_CTDP1…
- GSM9347456 ChIP-Seq_mES_MED1_deadCTDP1-12h_rep1 ChIP-Seq_mES_MED1_deadC…
- GSM9347457 ChIP-Seq_mES_MED1_deadCTDP1-12h_rep2 ChIP-Seq_mES_MED1_deadC…
- GSM9347458 ChIP-Seq_mES_MED4_CTDP1-12h_rep1 ChIP-Seq_mES_MED4_CTDP1…
- GSM9347459 ChIP-Seq_mES_MED4_CTDP1-12h_rep2 ChIP-Seq_mES_MED4_CTDP1…
- GSM9347460 ChIP-Seq_mES_MED4_deadCTDP1-12h_rep1 ChIP-Seq_mES_MED4_deadC…
- GSM9347461 ChIP-Seq_mES_MED4_deadCTDP1-12h_rep2 ChIP-Seq_mES_MED4_deadC…
- GSM9347462 ChIP-Seq_mES_RPB1NTD_CTDP1-12h_rep1 ChIP-Seq_mES_RPB1NTD_CT…
- GSM9347463 ChIP-Seq_mES_RPB1NTD_CTDP1-12h_rep2 ChIP-Seq_mES_RPB1NTD_CT…
- GSM9347464 ChIP-Seq_mES_RPB1NTD_deadCTDP1-12h_rep1 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347465 ChIP-Seq_mES_RPB1NTD_deadCTDP1-12h_rep2 ChIP-Seq_mES_RPB1NTD_de…
- GSM9347466 ChIP-Seq_mES_Y1_CTDP1-12h_rep1 ChIP-Seq_mES_Y1_CTDP1-1…
- GSM9347467 ChIP-Seq_mES_Y1_CTDP1-12h_rep2 ChIP-Seq_mES_Y1_CTDP1-1…
- GSM9347468 ChIP-Seq_mES_Y1_deadCTDP1-12h_rep1 ChIP-Seq_mES_Y1_deadCTD…
- GSM9347469 ChIP-Seq_mES_Y1_deadCTDP1-12h_rep2 ChIP-Seq_mES_Y1_deadCTD…
- GSM9347470 ChIP-Seq_mES_S5_CTDP1-12h_rep1 ChIP-Seq_mES_S5_CTDP1-1…
- GSM9347471 ChIP-Seq_mES_S5_CTDP1-12h_rep2 ChIP-Seq_mES_S5_CTDP1-1…
- GSM9347472 ChIP-Seq_mES_S5_deadCTDP1-12h_rep1 ChIP-Seq_mES_S5_deadCTD…
- GSM9347473 ChIP-Seq_mES_S5_deadCTDP1-12h_rep2 ChIP-Seq_mES_S5_deadCTD…
- GSM9347474 ChIP-Seq_mES_S2_CTDP1-12h_rep1 ChIP-Seq_mES_S2_CTDP1-1…
- GSM9347475 ChIP-Seq_mES_S2_CTDP1-12h_rep2 ChIP-Seq_mES_S2_CTDP1-1…
- GSM9347476 ChIP-Seq_mES_S2_deadCTDP1-12h_rep1 ChIP-Seq_mES_S2_deadCTD…
- GSM9347477 ChIP-Seq_mES_S2_deadCTDP1-12h_rep2 ChIP-Seq_mES_S2_deadCTD…
- GSM9347478 RNA-Seq_mES_deadCTDP1-0h_rep1 RNA-Seq_mES_deadCTDP1-0h
- GSM9347479 RNA-Seq_mES_deadCTDP1-0h_rep2 RNA-Seq_mES_deadCTDP1-0h
- GSM9347480 RNA-Seq_mES_deadCTDP1-12h_rep1 RNA-Seq_mES_deadCTDP1-1…
- GSM9347481 RNA-Seq_mES_deadCTDP1-12h_rep2 RNA-Seq_mES_deadCTDP1-1…
- GSM9347482 RNA-Seq_mES_deadCTDP1-24h_rep1 RNA-Seq_mES_deadCTDP1-2…
- GSM9347483 RNA-Seq_mES_deadCTDP1-24h_rep2 RNA-Seq_mES_deadCTDP1-2…
+ 4 more — browse all 44 samples with per-sample file links →
- GSE283958 Cohesin recruitment to promoters and enhancers by general transcription factors and chromatin regulators 47 samples shares transcription, recruitment
- GSE282097 Diminished transcriptional activity and splicing changes drive gene length-biased rewiring in the aging transcriptome 116 samples shares transcription
- GSE282280 DNA methylation-sensitive transcription factors and bivalency orchestrate transposon expression in the absence of DNA methylation. 93 samples shares transcription
- GSE241378 Alternative splicing of a chromatin modifier alters the transcriptional regulatory programs of embryonic stem cell maintenance and neuronal differentiation. 36 samples shares transcription
- GSE329967 Temporal Single-Cell Transcriptional Dynamics of Murine Pancreatic Islet Remodeling During Hyperglycaemia Progression 33 samples shares transcription
- GSE229592 Transcription factor Ikzf1 associates with Foxp3 to repress gene expression in Treg cells and limit autoimmunity and anti-tumor immunity 32 samples shares transcription
- GSE267584 Enhancer-driven gene regulatory networks reveal transcription factors governing T cell adaptation and differentiation in the tumor microenvironment. 22 samples shares transcription
- GSE202694 The transcriptional factor ONECUT3 is a driver and therapeutic target for complex karyotype MDS 12 samples shares transcription
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.