Ubiquitylation of Pol II controls early stages of the transcription cycle [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 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
- 36 samples: 12 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.
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 GSE266972_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 PRJNA1108872 and SRA study SRP506307. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM8257580 Input_ARMC5_KO_TPL_rep1 Input_ARMC5_KO_TPL
- GSM8257581 Input_ARMC5_KO_TPL_rep2 Input_ARMC5_KO_TPL
- GSM8257582 Input_ARMC5_KO_TPL_rep3 Input_ARMC5_KO_TPL
- GSM8257583 Input_ARMC5_KO_unt_rep1 Input_ARMC5_KO_unt
- GSM8257584 Input_ARMC5_KO_unt_rep2 Input_ARMC5_KO_unt
- GSM8257585 Input_ARMC5_KO_unt_rep3 Input_ARMC5_KO_unt
- GSM8257586 Input_WT_TPL_rep1 Input_WT_TPL
- GSM8257587 Input_WT_TPL_rep2 Input_WT_TPL
- GSM8257588 Input_WT_TPL_rep3 Input_WT_TPL
- GSM8257589 Input_WT_unt_rep1 Input_WT_unt
- GSM8257590 Input_WT_unt_rep2 Input_WT_unt
- GSM8257591 Input_WT_unt_rep3 Input_WT_unt
- GSM8257592 S5P_ARMC5_KO_TPL_rep1 S5P_ARMC5_KO_TPL
- GSM8257593 S5P_ARMC5_KO_TPL_rep2 S5P_ARMC5_KO_TPL
- GSM8257594 S5P_ARMC5_KO_TPL_rep3 S5P_ARMC5_KO_TPL
- GSM8257595 S5P_ARMC5_KO_unt_rep1 S5P_ARMC5_KO_unt
- GSM8257596 S5P_ARMC5_KO_unt_rep2 S5P_ARMC5_KO_unt
- GSM8257597 S5P_ARMC5_KO_unt_rep3 S5P_ARMC5_KO_unt
- GSM8257598 S5P_WT_TPL_rep1 S5P_WT_TPL
- GSM8257599 S5P_WT_TPL_rep2 S5P_WT_TPL
- GSM8257600 S5P_WT_TPL_rep3 S5P_WT_TPL
- GSM8257601 S5P_WT_unt_rep1 S5P_WT_unt
- GSM8257602 S5P_WT_unt_rep2 S5P_WT_unt
- GSM8257603 S5P_WT_unt_rep3 S5P_WT_unt
- GSM8257604 Total_PolII_ARMC5_KO_TPL_rep1 Total_PolII_ARMC5_KO_TPL
- GSM8257605 Total_PolII_ARMC5_KO_TPL_rep2 Total_PolII_ARMC5_KO_TPL
- GSM8257606 Total_PolII_ARMC5_KO_TPL_rep3 Total_PolII_ARMC5_KO_TPL
- GSM8257607 Total_PolII_ARMC5_KO_unt_rep1 Total_PolII_ARMC5_KO_unt
- GSM8257608 Total_PolII_ARMC5_KO_unt_rep2 Total_PolII_ARMC5_KO_unt
- GSM8257609 Total_PolII_ARMC5_KO_unt_rep3 Total_PolII_ARMC5_KO_unt
- GSM8257610 Total_PolII_WT_TPL_rep1 Total_PolII_WT_TPL
- GSM8257611 Total_PolII_WT_TPL_rep2 Total_PolII_WT_TPL
- GSM8257612 Total_PolII_WT_TPL_rep3 Total_PolII_WT_TPL
- GSM8257613 Total_PolII_WT_unt_rep1 Total_PolII_WT_unt
- GSM8257614 Total_PolII_WT_unt_rep2 Total_PolII_WT_unt
- GSM8257615 Total_PolII_WT_unt_rep3 Total_PolII_WT_unt
- GSE284519 TRIM33 loss reduces Androgen Receptor transcriptional output and H2BK120 ubiquitination [ChIP-seq] 93 samples shares transcription, chip-seq
- GSE296190 Hypoxic regulation of chromatin and gene transcription [ChIP-seq] 84 samples shares transcription, chip-seq
- GSE335058 Evolutionary guided transcription factor design programs novel T cell states [ChIP-Seq] 66 samples shares transcription, chip-seq
- GSE293334 Allelic topological centering by transcription factors drives oncogenic multi-enhancer transcriptional regulation [ChIP-seq] 60 samples shares transcription, chip-seq
- GSE296831 Epigenetic Context Defines the Transcriptional Activity of Canonical and Noncanonical NF-kappaB Signaling in Pancreatic Cancer [ChIP-Seq] 48 samples shares transcription, chip-seq
- GSE259248 ZBTB7A is a modulator of KDM5-driven transcriptional networks in basal breast cancer (ChIP-Seq) 36 samples shares transcription, chip-seq
- GSE267597 AP-1 Mediates Oncogenic Transcription and Predicts Fatality in Lung Squamous Cell Carcinoma Patients [ChIP-seq] 36 samples shares transcription, chip-seq
- GSE300575 Cohesin acts as a transcriptional gatekeeper by restraining pause–release to promote processive elongation [ChIP-seq] 22 samples shares transcription, chip-seq
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.