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Combination of PARP and KRAS G12D Inhibitors Enhances Efficacy of Therapeutic Vulnerabilities

GSE279749 Homo sapiens (human) RNA-seq (gene expression) 30 samples Submitted 2025/12/28 Platform GPL34284
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)
Samples
30 samples: 10 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.
Summary (written by the submitters)
To elucidate the molecular basis of the HR deficiency induced by KRASG12D inhibition, we conducted RNA sequencing (RNA-seq) on KRASG12D -mutant PDAC cells (AsPC-1, PANC-1, SW1990) treated with MRTX1133 and KRASG12V -mutant CFPAC-1 cell treated with pan-KRAS inhibitor BI-2865. To futher verified the molecular alternation, we also conducted RNA-seq on KRASG12D-mutant Patient-derived xenograft treated with MRTX1133.
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 GSE279749_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 PRJNA1174198 and SRA study SRP539200. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in triplicate
AsPC-1, vehicle ×3 AsPC-1, MRTX1133 ×3 PANC-1, vehicle ×3 PANC-1, MRTX1133 ×3 SW1990, vehicle ×3 SW1990, MRTX1133 ×3 CFPAC-1, vehicle ×3 CFPAC-1, BI-2865 ×3 +2 more

Supports a between-group comparison across 30 samples.

How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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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