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Disruption of RNAPII transcription elongation links Oncogenic splicing factor mutations to replciation stress and targetable alterations in chromatin landscape [Ser2PRNAPII ChIP-seq]

GSE225995 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 29 samples Submitted 2024/03/12 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 29 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
29 samples
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
Transcription elongation defects link oncogenic SF3B1 mutations to targetable alterations in chromatin landscapeMolecular cell · 2024
Summary (written by the submitters)
To investigate changes in the elongating form of RNA Polymerase II across different conditions, we peformed ChIP-seq using antibody against the Ser2P RNAPII of pTEFb in K562 cells at 4 days after modified allele expression We then performed coverage plot analyses using data obtained from ChIP-seq from IP and Input fractions to investigate Ser2P RNAPII distribution changes
Published in
Transcription elongation defects link oncogenic SF3B1 mutations to targetable alterations in chromatin landscape
Boddu PC, Gupta AK, Roy R et al. · Molecular cell 2024 · PMID 38521065 · doi:10.1016/j.molcel.2024.02.032
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE225995_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA939360 and SRA study SRP424862. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 29 more — browse all 29 samples with per-sample file links →

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