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Disulfide-directed multicyclic peptides for chimeric antigen receptors targeting solid tumors

GSE314995 Homo sapiens (human) RNA-seq (gene expression) 27 samples Submitted 2026/01/31 Platform GPL29480
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.
Summary (written by the submitters)
The clinical application of chimeric antigen receptor (CAR) T cell therapy in solid tumors remains limited due to significant safety concerns, particularly “on-target, off-tumor” toxicity and cytokine release syndrome (CRS). Here, we describe a class of CARs that employ disulfide-directed multicyclic peptides (DDMPs) as compact antigen-recognition domains targeting the tumor-associated antigens HER2 and TROP2.
Read the full summary ↓
DDMP-based CAR T cells exhibited antigen density-dependent cytotoxicity in vitro and in vivo, efficiently eliminating cells with high antigen expression while sparing cells with low antigen levels, thereby mitigating on-target, off-tumor toxicity. In addition, DDMP-based CAR T cells secreted markedly lower levels of pro-inflammatory cytokines upon targeted killing, reducing the CRS risk. Mechanistic analyses revealed that this favorable combination of restrained cytokine release and density-gated killing is associated with distinct T cell signaling pathway engagement and reduced cell avidity relative to conventional single-chain variable fragment (scFv)-based CAR T cells. Collectively, these findings establish DDMP-based CARs as a promising framework for engineering safer, yet efficacious, CAR T cell therapies for solid tumors.
This dataset
Open GSE314995 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 GSE314995_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 PRJNA1367362 and SRA study SRP652853. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in triplicate
UT-A549-TROP2 ×3 TROP2(DDMP)-CAR7-A549-TROP2 ×3 TROP2(scFv)-CAR7-A549-TROP2 ×3 TROP2(DDMP)-CAR6-A549-TROP2 ×3 TROP2(scFv)-CAR6-A549-TROP2 ×3 UT-OE19 ×3 HER2(DDMP)-OE19 ×3 HER2(scFv)-OE19 ×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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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.