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Effects of PD-L1 silencing on global transcriptomic changes in tumor

GSE285565 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/05/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
12 samples: 6 conditions, mostly in duplicateGroups 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
Improving IL12 immunotherapy in glioblastoma by targeting the long noncoding RNA INCR1Journal of neuro-oncology · 2025
Summary (written by the submitters)
Cancers evade anti-tumor immunity by up-regulation of immune checkpoint molecules, such as programmed cell death 1 ligand 1 (PD-L1), in response to stimuli, such as interferon-gamma (IFNγ). Expression of PD-L1 within the tumor microenvironment inhibits the anti-tumor immune response by binding the immune checkpoint receptor PD-1 expressed on T cells.
Read the full summary ↓
Immune checkpoint inhibitors that target the PD-1/PD-L1 pathway are less toxic than standard chemotherapy and produce durable tumor regression and overall survival benefits in several tumors. However, only a small group of patients respond to these therapies, and some of the responders develop acquired resistance. Understanding the effects of PD-L1 silencing on global gene expression is critical to identifying potential immune evasive mechanisms. In this study, we performed transcriptome analysis of PD-L1 knockdown cells and showed that silencing PD-L1 reduced the expression of only a few immunosuppressive genes. Our findings suggest that the identification of novel targets that can control a larger number of immunosuppressive molecules could lead to the development of more effective immunotherapies.
Published in
Improving IL12 immunotherapy in glioblastoma by targeting the long noncoding RNA INCR1
Saini S, Gadet JAMA, Freeman GJ et al. · Journal of neuro-oncology 2025 · PMID 40035950 · doi:10.1007/s11060-025-04978-2
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 GSE285565_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 PRJNA1204396 and SRA study SRP554563. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
siNC-C ×2 siNC-IFN ×2 siPDL1-1-C ×2 siPDL1-1-IFN ×2 siPDL1-2-C ×2 siPDL1-2-IFN ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 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
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