GEO series

Endothelial PD-L1 brakes CD8+ T cell exhaustion, empowering anti-tumor immunity in non-small cell lung cancer

GSE277610 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2026/06/01 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 17 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: 17 samples: 17 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.

Summary (written by the submitters)

Cancer immunotherapies targeting PD-(L)1 offer therapeutic potential but suffer resistance. The role of PD-L1 in tumor and myeloid cells has been extensively studied, while its function in tumor endothelial cells (ECs) is overlooked. Surprisingly, we identified an unknown role of EC-specific PD-L1 in delaying the exhaustion of tumor-infiltrating CD8+ T cells in a non-small cell lung cancer mouse model.

Read the full summary ↓

Loss of endothelial PD-L1 reduces T cell activation and exac-erbates tumor growth. Initial inhibition of CD8+ T cells by endothelial PD-L1, prior to encoun-tering cancer cells, prevents T cells from prematurely reaching a terminal exhaustion state. Initial results suggest that high EC PD-L1 expression in NSCLC patient tumors might become a potential positive predictor of anti-PD-1 outcome. These unexpected findings highlight the significance of vessel-associated PD-L1 and suggest that EC PD-L1 blockade upon systemic treatment potentially negates the overall therapeutic effect, raising the question if this might contribute to therapy resistance.

This dataset

Open GSE277610 in finder → Find more mouse RNA-seq datasets →

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.

Series matrix ↓

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 GSE277610_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1162902 and SRA study SRP533663. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

17 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 17 sample titles: 17 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

GSM8526304 CD8 T cell, core-enriched, WT (H873)
GSM8526305 CD8 T cell, rim-enriched, KO (F86)
GSM8526306 CD8 T cell, core-enriched, WT (H719)
GSM8526307 CD8 T cell, rim-enriched, WT (H874)
GSM8526308 CD8 T cell, core-enriched, WT ((H876)
GSM8526309 CD8 T cell, rim-enriched, WT (H877)
GSM8526310 CD8 T cell, core-enriched, KO (F219)
GSM8526311 CD8 T cell, core-enriched, KO (F318)
GSM8526312 CD8 T cell, core-enriched, KO (F319)
GSM8526313 CD8 T cell, rim-enriched, KO (F322)
GSM8526314 CD8 T cell, core-enriched, KO (F322)
GSM8526315 CD8 T cell, core-enriched, WT (pool)
GSM8526316 CD8 T cell, core-enriched, WT (F164)
GSM8526317 CD8 T cell, rim-enriched, KO (O)
GSM8526318 CD8 T cell, core-enriched, KO (O)
GSM8526319 CD8 T cell, rim-enriched, KO (F15)
GSM8526320 CD8 T cell, core-enriched, KO (F86)

Datasets on a similar topic

GSE316541 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment [CD8+T] 27 samples shares cd8, anti-tumor, immunity
GSE234974 Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity I 24 samples shares cd8, anti-tumor, immunity
GSE207029 Blockade of avb8 integrin synergizes with checkpoint inhibition to enhance anti-tumor immunity through Cxcl9-dependent augmentation of CD8+ T cell cytotoxicity 12 samples shares cd8, anti-tumor, immunity
GSE316540 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment 9 samples shares cd8, anti-tumor, immunity
GSE299133 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity [Hepatocytes] 18 samples shares cd8, immunity
GSE320177 All -trans retinoic acid suppresses CD8+ T cell terminal exhaustion which enhances anti–PD-1 efficacy against glioblastoma [RNA-Seq] 12 samples shares cd8, exhaustion
GSE223164 Osr2 functions as a biomechanical checkpoint to aggravate CD8+ T cell exhaustion in tumor 49 samples shares cd8, exhaustion
GSE318514 Organ injury in systemic autoimmunity is mediated by stem-like CD8 T cells arising from tissue-draining lymph nodes 45 samples shares cd8, immunity

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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.