Evidence map›Paper›PMID 42387256›Full record

ArticleJournal of the American Chemical Society2026

High-Precision Intrinsic Interactome Elucidation of Chimeric Antigen Receptors via Photocatalytic Micromapping (μMap-CAR).

Sean W Huth, Chenmengxiao Roderick Pan, Philip Raftopoulos, Ciaran P Seath, Gabrielle H Lovett, Beryl Li, Sushma Yechan Gunja, Vaishali Agarwal, Yuka Amako, Harris Bell-Temin and 6 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. 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

16 authors.

Sean W HuthMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.
Chenmengxiao Roderick PanMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.
Philip RaftopoulosMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.
Ciaran P SeathMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.
Gabrielle H LovettMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.
Beryl LiMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.
Sushma Yechan GunjaBristol Myers Squibb, Seattle, Washington 98109, United States.
Vaishali AgarwalBristol Myers Squibb, Seattle, Washington 98109, United States.
Yuka AmakoDiscovery & Development Sciences, Bristol Myers Squibb, Cambridge, Massachusetts 02141, United States.
Harris Bell-TeminDiscovery & Development Sciences, Bristol Myers Squibb, Cambridge, Massachusetts 02141, United States.
Helen PhamDiscovery & Development Sciences, Bristol Myers Squibb, Cambridge, Massachusetts 02141, United States.
Helen EvansDiscovery & Development Sciences, Bristol Myers Squibb, Cambridge, Massachusetts 02141, United States.
Jennifer X QiaoDiscovery & Development Sciences, Bristol Myers Squibb, Cambridge, Massachusetts 02141, United States.ORCID 0000-0002-6685-2092
Haibo LiuDiscovery & Development Sciences, Bristol Myers Squibb, Cambridge, Massachusetts 02141, United States.ORCID 0000-0001-8095-4274
Brook BarajasBristol Myers Squibb, Seattle, Washington 98109, United States.
David W C MacMillanMerck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0001-6447-0587

Funding

Photoredox Catalysis Applications in Organometallics and Chemical BiologyR35GM134897 · NIGMS · PRINCETON UNIVERSITY · PI David W MacMillan · 2020 to 2026
$6.3M
BD FACSymphony A3: A multi-laser analytical flow cytometer for the Princeton University Flow Cytometry Resource FacilityS10OD028592 · OD · PRINCETON UNIVERSITY · PI DECOSTE, CHRISTINA J. · 2021 to 2021
$400k
NIGMS NIH HHS R35 GM134897NIH HHS S10 OD028592
6 · The paper itself

Abstract

Chimeric Antigen Receptor T-cell (CAR-T) therapies represent a powerful modality for treating a variety of hematological cancers. However, limited efficacy in broader disease contexts, particularly solid tumors, underscores the need for improved CAR design to enhance potency, persistence, and safety. Key design features of CARs have been profoundly informed by extensive knowledge of the T-cell receptor (TCR) and its interactome. To advance CAR-T therapies, new functionally relevant proteins are needed to support engineering efforts. Until now, the actual molecular microenvironment surrounding CARs has remained poorly defined, chiefly due to the lack of a characterization method with the required precision and sensitivity. Herein, we introduce μMap-CAR, a high-resolution photocatalytic proximity labeling platform featuring key methodological optimizations that enable direct elucidation of the CAR interactome on live T-cell surfaces. The platform performs robustly in a model CAR-T cell system under both resting and simulated activation conditions. The high sensitivity of μMap-CAR allows interrogation of interactome differences upon CAR endodomain alterations, linking perturbed signaling networks directly to CAR components. We further deliver the first high-resolution intrinsic CAR interactome in primary T-cells, defined by shared interactors across donors, and validate candidates via super-resolution microscopy and CAR-T activation perturbation. This platform constitutes a powerful, broadly applicable tool for CAR interactome profiling while also providing actionable targets for proximity-guided CAR engineering applications.

Indexed as

Receptors, Antigen, T-CellReceptors, Chimeric AntigenCatalysisHumansPhotochemical ProcessesT-LymphocytesReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID42387256
PMCPMC13383733

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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.