CDK12 prevents MYC-induced transcription-replication conflicts
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 48 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
- 48 samples: 16 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.
- Paper
- CDK12 controls transcription at damaged genes and prevents MYC-induced transcription-replication conflictsNature communications · 2024
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 GSE236553_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 PRJNA991561 and SRA study SRP447493. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 46 samples.
How we read this: 16 replicated groups read from 48 sample titles; they account for 46 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.
- GSM7549752 RNA_seq_siLuc_rep1 RNA_seq_siLuc
- GSM7549753 RNA_seq_siLuc_rep2 RNA_seq_siLuc
- GSM7549754 RNA_seq_siLuc_rep3 RNA_seq_siLuc
- GSM7549755 RNA_seq_siCDK12_rep1 RNA_seq_siCDK12
- GSM7549756 RNA_seq_siCDK12_rep2 RNA_seq_siCDK12
- GSM7549757 RNA_seq_siCDK12_rep3 RNA_seq_siCDK12
- GSM7549758 RNA_seq_siCDK12_rep4 RNA_seq_siCDK12
- GSM7549759 RNA_seq_siLuc_OHT_rep1 RNA_seq_siLuc_OHT
- GSM7549760 RNA_seq_siLuc_OHT_rep2 RNA_seq_siLuc_OHT
- GSM7549761 RNA_seq_siLuc_OHT_rep3 RNA_seq_siLuc_OHT
- GSM7549762 RNA_seq_siCDK12_OHT_rep1 RNA_seq_siCDK12_OHT
- GSM7549763 RNA_seq_siCDK12_OHT_rep2 RNA_seq_siCDK12_OHT
- GSM7549764 RNA_seq_siCDK12_OHT_rep3 RNA_seq_siCDK12_OHT
- GSM7549765 RNA_seq_siCDK12_OHT_rep4 RNA_seq_siCDK12_OHT
- GSM7549766 Pol2_SerP2_siLuc
- GSM7549767 Pol2_SerP2_siCDK12
- GSM7549768 BLISS_shNT_rep1 BLISS_shNT
- GSM7549769 BLISS_shNT_rep2 BLISS_shNT
- GSM7549770 BLISS_shCDK12_rep1 BLISS_shCDK12
- GSM7549771 BLISS_shCDK12_rep2 BLISS_shCDK12
- GSM7549772 BLISS_shNT_OHT_rep1 BLISS_shNT_OHT
- GSM7549773 BLISS_shNT_OHT_rep2 BLISS_shNT_OHT
- GSM7549774 BLISS_shCDK12_OHT_rep1 BLISS_shCDK12_OHT
- GSM7549775 BLISS_shCDK12_OHT_rep2 BLISS_shCDK12_OHT
- GSM7549796 EU_seq_shNT_rep1 EU_seq_shNT
- GSM7549797 EU_seq_shNT_rep2 EU_seq_shNT
- GSM7549798 EU_seq_shNT_rep3 EU_seq_shNT
- GSM7549799 EU_seq_shCDK12_rep1 EU_seq_shCDK12
- GSM7549800 EU_seq_shCDK12_rep2 EU_seq_shCDK12
- GSM7549801 EU_seq_shCDK12_rep3 EU_seq_shCDK12
- GSM7549802 EU_seq_shNT_OHT_rep1 EU_seq_shNT_OHT
- GSM7549803 EU_seq_shNT_OHT_rep2 EU_seq_shNT_OHT
- GSM7549804 EU_seq_shNT_OHT_rep3 EU_seq_shNT_OHT
- GSM7549805 EU_seq_shCDK12_OHT_rep1 EU_seq_shCDK12_OHT
- GSM7549806 EU_seq_shCDK12_OHT_rep2 EU_seq_shCDK12_OHT
- GSM7549807 EU_seq_shCDK12_OHT_rep3 EU_seq_shCDK12_OHT
- GSM7549808 EdU_HU_seq_shNT_rep1 EdU_HU_seq_shNT
- GSM7549809 EdU_HU_seq_shNT_rep2 EdU_HU_seq_shNT
- GSM7549810 EdU_HU_seq_shNT_rep3 EdU_HU_seq_shNT
- GSM7549811 EdU_HU_seq_shNT_OHT_rep1 EdU_HU_seq_shNT_OHT
+ 8 more — browse all 48 samples with per-sample file links →
- GSE236545 CDK12 prevents MYC-induced transcription-replication conflicts [RNA-seq] 14 samples shares cdk12, transcription-replication, myc-induced, conflicts, prevents
- GSE236550 CDK12 prevents MYC-induced transcription-replication conflicts [EdU-seq] 12 samples shares cdk12, transcription-replication, myc-induced, conflicts, prevents
- GSE236549 CDK12 prevents MYC-induced transcription-replication conflicts [EU-seq] 12 samples shares cdk12, transcription-replication, myc-induced, conflicts, prevents
- GSE236546 CDK12 prevents MYC-induced transcription-replication conflicts [ChIP-seq] 2 samples shares cdk12, transcription-replication, myc-induced, conflicts, prevents
- GSE268017 Transcription-Replication conflicts are linked to histone H3K79 methylation and R-loop dependent nucleosome eviction 37 samples shares transcription-replication, conflicts
- GSE267495 Transcription-Replication conflicts are linked to histone H3K79 methylation and R-loop dependent nucleosome eviction [ChIPseq] 16 samples shares transcription-replication, conflicts
- GSE269841 Genome-wide Mapping of Topoisomerase Binding Sites Suggests Topoisomerase 3a (TOP3A) as a Reader of Transcription-Replication Conflicts (TRC) 15 samples shares transcription-replication, conflicts
- GSE239858 BRCA2 suppresses “head-on” transcription-replication conflicts incurred by dormant origin firing at transcription termination sites 14 samples shares transcription-replication, conflicts
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.