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PHF6 cooperates with SWI/SNF complexes to facilitate transcriptional progression [RNA-seq]

GSE180481 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2024/06/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 38 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
38 samples: 11 × shPHF6 vs 9 × shCTRLGroups 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
PHF6 cooperates with SWI/SNF complexes to facilitate transcriptional progressionNature communications · 2024
Summary (written by the submitters)
Genes encoding subunits of SWI/SNF(BAF) chromatin remodeling complexes are collectively mutated in nearly 25% of all cancers. Utilizing a genome-wide CRISPR-Cas9 screen, we identify PHF6 as a specific vulnerability in pediatric malignant rhabdoid tumors (RTs), which are driven by inactivation of the SMARCB1 subunit of SWI/SNF. We establish that PHF6 co-localizes with residual SWI/SNF subcomplexes at promoters and enhancers.
Read the full summary ↓
Here, PHF6 facilitates transcriptional activation by regulating deposition of H3K14ac downstream of active promoters and contributes to the establishment of H3K27ac at active promoters and enhancers. We show that PHF6 is essential for the maintenance of these marks in part via the regulation of their writers, HB01 and CBP/p300, respectively. As it directly regulates the H3K14ac mark, PHF6 may regulate pausing and serve as a mediator between chromatin regulatory function and RNA POL II pause release. Together, our results establish a mechanistic basis for dependence upon PHF6 in SMARCB1-mutant RTs.
Published in
PHF6 cooperates with SWI/SNF complexes to facilitate transcriptional progression
Mittal P, Myers JA, Carter RD et al. · Nature communications 2024 · PMID 39181868 · doi:10.1038/s41467-024-51566-5
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 GSE180481_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA748393 and SRA study SRP329125. Searching any of these in the dataset finder brings you back here.

Study design
11 × shPHF6 vs 9 × shCTRL

Supports a between-group comparison across 20 samples.

How we read this: 2 replicated groups read from 38 sample titles; they account for 20 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.

Samples in this study
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