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A p53 score derived from TP53 CRISPR/Cas9 HMCLs predicts survival and reveals major role of BAX in BH3 mimetics response

GSE245163 Homo sapiens (human) RNA-seq (gene expression) 138 samples Submitted 2024/04/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 138 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
138 samples: 42 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 p53 score derived from TP53 CRISPR/Cas9 HMCLs predicts survival and reveals a major role of BAX in the response to BH3 mimeticsBlood · 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 p53 score derived from TP53 CRISPR/Cas9 HMCLs predicts survival and reveals a major role of BAX in the response to BH3 mimetics
Durand R, Descamps G, Bellanger C et al. · Blood 2024 · PMID 38096363 · doi:10.1182/blood.2023021581
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 GSE245163_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 PRJNA1027275 and SRA study SRP465600. Searching any of these in the dataset finder brings you back here.

Study design
42 conditions, mostly in triplicate
MM ×26 sPCL ×7 JIM3_control_bulk_treated with 10 µM Nutlin3a… ×3 JIM3_control_bulk_untreated ×3 JIM3_KO_clone_1_treated with 10 µM Nutlin3a f… ×3 JIM3_KO_clone_2_treated with 10 µM Nutlin3a f… ×3 JIM3_KO_clone_3_treated with 10 µM Nutlin3a f… ×3 JIM3_KO_clone_1_untreated ×3 +35 more

Supports a between-group comparison across 137 samples.

How we read this: 42 replicated groups read from 138 sample titles; they account for 137 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

+ 98 more — browse all 138 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.