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H2A.Z chaperones promote melanoma cell growth by facilitating transcription of E2F target genes through H2A.Z deposition and H4 acetylation

GSE242227 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2024/05/10 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 30 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)
Topic
MelanomaThis series is part of our curated briefing on it.
Samples
30 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
H2A.Z chaperones converge on E2F target genes for melanoma cell proliferationGenes & development · 2024
Summary (written by the submitters)
High levels of the histone variant H2A.Z are characteristic for melanoma progression and correlate with poor prognosis of melanoma patients. Two chaperone complexes are reported to deposit H2A.Z isoforms into chromatin: SRCAP and P400-TIP60. YL1 is a common subunit of both complexes and directly binds to the H2A.Z-H2B dimer. Here, we showed that the knockdown of SRCAP (SRCAP-specific), P400 (P400-TIP60-specific) and YL1 (shared subunit) results in loss of H2A.Z deposition into chromatin in melanoma cells, confirming them as H2A.Z chaperone subunits in this system.
Read the full summary ↓
Further, we demonstrated that H2A.Z, YL1 and the SRCAP-specific subunit ZNHIT1 co-localize at active promoters of cell cycle-related genes, such as the transcription factor E2F1. Knockdown of YL1, SRCAP and P400 downregulates E2F1 and its targets, resulting in a loss of proliferation and cell cycle arrest in melanoma cells as seen after knockdown of H2A.Z (Vardabasso et al. 2015). Strikingly, besides H2A.Z loss, we observed a dramatic loss of H4 acetylation in melanoma chromatin upon knockdown of H2A.Z chaperone subunits. The majority of genes whose promoters showed a reduction in H4 acetylation were previously bound by H2A.Z, YL1 and ZNHIT1. This is suggestive of a direct link between H2A.Z deposition and H4 acetylation to promote the expression of underlying genes. In agreement, the genes that lost H4 acetylation were enriched for E2F1 target genes. Interestingly, we additionally found that knockdown of YL1 did not only prohibit cell cycle progression, but also induces apoptosis, which is in contrast to H2A.Z knockdown affecting cell cycle only. In addition, YL1 (but not SRCAP or P400) was found to be overexpressed in melanoma and high YL1 levels were a predictor of poor melanoma patient outcome. These findings provide a rationale for targeting the H2A.Z-YL1 interaction as novel epigenetic strategy for melanoma treatment.
Published in
H2A.Z chaperones converge on E2F target genes for melanoma cell proliferation
Jostes S, Vardabasso C, Dong J et al. · Genes & development 2024 · PMID 38744503 · doi:10.1101/gad.351318.123
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 GSE242227_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 PRJNA1012308 and SRA study SRP458150. Searching any of these in the dataset finder brings you back here.

Samples in this study

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