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Gene expression changes in mouse kidney cancer cells (RENCA) after anti-PD-L1 resistance

GSE186037 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/10/14 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 12 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
Mus musculus (mouse)
Samples
12 samples: 3 × RENCA Parental vs 3 × RENCA Parental met vs 3 × RENCA anti-PD-L1 Resistant vs 3 × RENCA anti-PD-L1 Resistant metGroups 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
Acquired resistance to PD-L1 inhibition enhances a type I IFN-regulated secretory program in tumorsEMBO reports · 2025
Summary (written by the submitters)
RNA sequencing analysis was used to identify changes in mouse kidney cancer cells (RENCA) following resistance to anti-PD-L1 (PDR).
Published in
Acquired resistance to PD-L1 inhibition enhances a type I IFN-regulated secretory program in tumors
Shi Y, McKenery A, Dolan M et al. · EMBO reports 2025 · PMID 39663510 · doi:10.1038/s44319-024-00333-0
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 GSE186037_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 PRJNA772175 and SRA study SRP341881. Searching any of these in the dataset finder brings you back here.

Study design
3 × RENCA Parental vs 3 × RENCA Parental met vs 3 × RENCA anti-PD-L1 Resistant vs 3 × RENCA anti-PD-L1 Resistant met

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

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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.