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Cell autonomous control of CAR signaling and receptor shedding via ADAM17-mediated proteolysis

GSE328715 Homo sapiens (human) RNA-seq (gene expression) 25 samples Submitted 2026/04/26 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 25 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
25 samples: 25 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.
Paper
Cell-autonomous control of CAR signaling and receptor shedding via ADAM17-mediated proteolysisCell · 2026
Summary (written by the submitters)
We sought to endow T cell autonomous regulation of cell surface protein expression by exploiting the conditional proteolytic activity of ADAM17 following T cell activation. Screening of canonical ADAM17 substrates yielded a minimal 15-aa CD62L-derived motif that confers rapid and reversible cleavage of a receptor following T cell activation—termed Activation-Induced Release (AIR).
Read the full summary ↓
Embedding AIR into tonic-signaling CARs reduced basal CAR expression proportional to the degree of tonic signaling induced, curtailing exhaustion and improving antitumor potency. In non-tonic signaling CARs, AIR decreased activation-induced cell death and enhanced T cell expansion after stimulation. AIR’s modularity supports higher-order logic-gating; AIR-regulated peptide masks enable antigen-dependent unmasking of an EGFR-targeting CAR. Finally, CRISPR knock-in of AIR into endogenous FAS or TGFBR2 endowed them with activation-induced shedding, which enhanced tumor clearance, while preserving signaling in non-activating conditions. AIR is a compact switch that provides fast, autonomous regulation of surface proteins for next-generation cell therapies.
Published in
Cell-autonomous control of CAR signaling and receptor shedding via ADAM17-mediated proteolysis
Bjelajac JR, Cañellas-Socias A, Nehra P et al. · Cell 2026 · PMID 42143019 · doi:10.1016/j.cell.2026.04.037
This dataset
Open GSE328715 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 GSE328715_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 PRJNA1456397 and SRA study SRP693826. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42143019) ↗
Study design
25 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 25 sample titles: 25 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
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.