Evidence map›Paper›PMID 41294842›Full record

ArticleCells2025

NeoPAIR-T: Functional Mapping of Neoantigen-TCR Pairs Using a CRISPR-Engineered Jurkat Reporter System.

Koji Nagaoka, Yukari Kobayashi, Kazuhiro Kakimi

Abstract read
In one paragraph

Article in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Koji NagaokaDepartment of Immunology, Kindai University Faculty of Medicine, Sakai 590-0197, Osaka, Japan.ORCID 0000-0001-8202-031X
Yukari KobayashiDepartment of Immunology, Kindai University Faculty of Medicine, Sakai 590-0197, Osaka, Japan.ORCID 0000-0002-2600-2181
Kazuhiro KakimiDepartment of Immunology, Kindai University Faculty of Medicine, Sakai 590-0197, Osaka, Japan.ORCID 0000-0003-2631-3040

Funding

Japan Agency for Medical Research and Development (AMED) 24ama221321h0002JSPS KAKENHI 23H02762
6 · The paper itself

Abstract

Targeting mutation-derived neoantigens is a promising strategy for personalized immunotherapies. However, identifying true neoantigens and cognate T cell receptors (TCRs) remains challenging because computational prediction of neoantigen peptides is uncertain and most tumor-infiltrating lymphocytes are bystanders rather than tumor-reactive, necessitating functional validation. Here, we developed NeoPAIR-T (Neoantigen-TCR Pairing Assay using reporter T cells), a functional assay based on co-culture of TCR-T reporter cells and autologous antigen-presenting cells (APCs) to screen neoantigen-TCR pairs. Reporter T cells are Jurkat-derived cells engineered to express a luciferase/eGFP dual reporter, providing quantitative readouts of TCR activation, while APCs are immortalized autologous cells transfected with tandem minigenes (TMGs) encoding predicted neoantigens, bypassing peptide synthesis. NeoPAIR-T also includes TCRα-knockout with targeted knock-in of candidate TCRs at the TCRβ locus to prevent mispairing and enables parallel testing of multiple reporter T cell clones co-cultured with the same APCs for efficient identification of functional pairs. Using lung cancer samples, whole-exome and RNA sequencing predicted 63 candidate peptides assembled into three TMGs. Single-cell RNA/TCR sequencing identified eight TCR clonotypes, introduced into reporter T cells and tested in parallel. Co-culture with TMG-expressing APCs revealed two functional neoantigen-TCR pairs validated by peptide assays (EC

Indexed as

Antigens, NeoplasmCRISPR-Cas SystemsReceptors, Antigen, T-CellAntigen-Presenting CellsCoculture TechniquesGenes, ReporterHumansJurkat CellsAntigens, NeoplasmReceptors, Antigen, T-CellCRISPR/Cas9functional screeningneoantigenpersonalized immunotherapysingle-cell analysistandem minigeneT-cell receptor

Identifiers

PMID41294842
PMCPMC12650950

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.