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Gene expression in self-activating CAR-T cells with CD28 or 4-1BB costimulatory domain and G4S or Whilow218 linker.

GSE276932 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/09/16 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples
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
Improvement in the function of self-activating chimeric antigen receptor by replacing the linker sequenceFrontiers in immunology · 2025
Summary (written by the submitters)
We observed self-activation of SKM-CAR-T cells which target novel mesothelioma antigen. CAR-T with CD28 costimulatory domain showed signs of exhaustion while those with 4-1BB costimulatory domain did not. Changes in the gene expression by substituting (G4S)4 linker in scFv portion to Whitlow 218 linker was investigated.
Published in
Improvement in the function of self-activating chimeric antigen receptor by replacing the linker sequence
Kouro T, Hoshino D, Mano Y et al. · Frontiers in immunology 2025 · PMID 40308593 · doi:10.3389/fimmu.2025.1502607
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 GSE276932_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 PRJNA1159765 and SRA study SRP532180. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 15 more — browse all 15 samples with per-sample file links →

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