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Omics · study · 2026

In vivo double knockout CAR-T screen identifies synergistic gene pairs that enhance anti-tumor immunity [scRNA-seq]

Listed in NCBI GEO

Chimeric antigen receptor (CAR) T cell therapy has revolutionized the treatment of hematological malignancies.

Description

However, its efficacy against solid tumors is hindered by multifaceted negative regulatory mechanisms intrinsic to T cells. Although single gene screens have been performed in T cells, such studies cannot provide causality for the complex genetic interactions governing T cell function.

To systematically discover genetic interactions that are critical for CAR-T cell’s anti-tumor immunity, here, we perform a high-throughput in vivo double-knockout (DKO) CRISPR screen in human CAR-T cells and identify multiple DKO gene pairs that are both effective and synergistic. All five top-scoring DKO hits are validated to promote CAR-T cell activation, cytotoxicity, degranulation, effector cytokine production, and memory formation, and reduce exhaustion.

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Mechanistically, these DKOs enhance calcium influx, phospho-ERK, NF-κB and NFAT/AP-1 signaling. Among these hits, NR4A1_SOCS3 DKO has multiple favorable immunological features and showcases the most robust phenotypes. NR4A1_SOCS3 DKO CAR-T cells show potent in vivo anti-tumor efficacy and markedly enhanced infiltration as compared to both single gene knockouts, without increase in safety risk.

Whole-transcriptome profiling and single cell RNA sequencing of tumor-infiltrating CAR-T cells reveal that NR4A1_SOCS3 DKO specifically enhanced metabolic fitness of CAR-T cells, rendering them exceptionally potent in long-term tumor control in an orthotopic model, superior to both single gene knockouts and the PD1_CTLA4 dual-checkpoint DKO benchmark. These data together demonstrate the efficacy of high-throughput DKO screening to rapidly uncover critical genetic interactions within T cells, and discover NR4A1_SOCS3 as promising joint intracellular checkpoints to engineer high-performance CAR-T therapies against solid tumors.

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Life Sciences
Inferred from text
Cancer 65% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE27288612 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title