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GCN2 is a determinant of the response to WEE1 kinase inhibition in small-cell lung cancer

GSE246354 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/07/16 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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
Small cell lung cancerThis series is part of our curated briefing on it.
Samples
18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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
GCN2 is a determinant of the response to WEE1 kinase inhibition in small-cell lung cancerCell reports · 2024
Summary (written by the submitters)
Patients with small-cell lung cancer (SCLC) are in dire need of more effective therapeutic options. Frequent disruption of the G1 checkpoint in SCLC cells creates a greater dependency of these cells on the G2/M checkpoint to maintain genomic integrity. Indeed, in pre-clinical models, inhibiting the G2/M kinase WEE1 shows promise in inhibiting SCLC growth.
Read the full summary ↓
However, toxicity and acquired resistance limit the clinical effectiveness of this strategy. Here we conducted CRISPR/Cas9 knockout screens to identify genes influencing the response of SCLC cells to WEE1 kinase inhibition. These screens uncovered a role for the GCN2 amino acid-sensing pathway in modulating the response of SCLC cells to WEE1 inhibition. Rapid activation of GCN2 upon WEE1 inhibition triggers a stress response. Pharmacological activation of the GCN2 pathway synergizes with WEE1 inhibition. Thus, activation of the GCN2 amino acid-sensing pathway represents a novel approach for augmenting the efficacy of WEE1 inhibitors in SCLC.
Published in
GCN2 is a determinant of the response to WEE1 kinase inhibition in small-cell lung cancer
Drainas AP, Hsu WH, Dallas AE et al. · Cell reports 2024 · PMID 39120974 · doi:10.1016/j.celrep.2024.114606
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 GSE246354_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 PRJNA1032594 and SRA study SRP468639. Searching any of these in the dataset finder brings you back here.

Study design
18 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 18 sample titles: 18 distinct titles with little repetition. 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
More Small cell lung cancer datasets

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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.