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The transcriptional differences between mCAR-T and cmCAR-T cells

GSE276719 Homo sapiens (human) RNA-seq (gene expression) 27 samples Submitted 2025/08/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 27 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
27 samples: 9 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.
Paper
Scarless circular mRNA-based CAR-T cell therapy elicits superior antitumor efficacySignal transduction and targeted therapy · 2025
Summary (written by the submitters)
The study investigates the transcriptional differences between mCAR-T and cmCAR-T cells to understand their distinct cell-killing and cytokine release behaviors. RNA-seq experiments revealed that untransfected T cells, cmCAR-T, and mCAR-T cells exhibit significant transcriptomic differences on days 2 and 4. Notably, the GZMB gene, associated with cytotoxicity, was expressed at higher levels in cmCAR-T cells compared to mCAR-T cells.
Read the full summary ↓
Analysis of gene signatures related to T cell activation and exhaustion showed distinct patterns between the two cell types. Differentially expressed genes (DEGs) highlighted enriched cytokine signaling in cmCAR-T cells on day 2 and interferon signaling on day 4. These findings suggest that while both CAR-T cell types have transient functional signals, cmCAR-T cells demonstrate enhanced and prolonged cytotoxicity compared to mCAR-T cells.
Published in
Scarless circular mRNA-based CAR-T cell therapy elicits superior antitumor efficacy
Hu Q, Zhao H, Zhou K et al. · Signal transduction and targeted therapy 2025 · PMID 41430032 · doi:10.1038/s41392-025-02512-4
This dataset
Open GSE276719 in finder → Find more human 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 GSE276719_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 PRJNA1158754 and SRA study SRP531525. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41430032) ↗
Study design
9 conditions, mostly in triplicate
Circular CD19 CAR-T,Day1,sample ×3 Circular CD19 CAR-T,Day2,sample ×3 Circular CD19 CAR-T,Day4,sample ×3 Linear CD19 CAR-T,Day1,sample ×3 Linear CD19 CAR-T,Day2,sample ×3 Linear CD19 CAR-T,Day4,sample ×3 Untreated CD19 CAR-T,Day1,sample ×3 Untreated CD19 CAR-T,Day2,sample ×3 +1 more

Supports a between-group comparison across 27 samples.

How we read this: 9 replicated groups read from 27 sample titles; they account for 27 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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