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A non-canonical repressor function of JUN restrains YAP activity and suppresses YAP-dependent liver cancer growth

GSE235968 Homo sapiens (human) RNA-seq (gene expression) 178 samples Submitted 2024/06/30 Platform GPL18573Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 178 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
178 samples: 55 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
A non-canonical repressor function of JUN restrains YAP activity and liver cancer growthThe EMBO journal · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
A non-canonical repressor function of JUN restrains YAP activity and liver cancer growth
Kurlishchuk Y, Cindric Vranesic A, Jessen M et al. · The EMBO journal 2024 · PMID 39210147 · doi:10.1038/s44318-024-00188-0
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 GSE235968_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 PRJNA988093 and SRA study SRP446147. Searching any of these in the dataset finder brings you back here.

Study design
55 conditions, mostly in triplicate
10A_ev_etoh, YAP1, ×7 10A_ev_etoh, JUN, ×7 10A_ev_etoh, IgG, ×7 10A_ev_dox, YAP1, ×7 10A_ev_dox, JUN, ×7 10A_ev_dox, IgG, ×7 10A_JUNoe_etoh, YAP1, ×5 10A_JUNoe_etoh, JUN, ×5 +47 more

Supports a between-group comparison across 178 samples.

How we read this: 55 replicated groups read from 178 sample titles; they account for 178 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

+ 138 more — browse all 178 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.