Evidence map›Paper›PMID 41756994›Full record

ArticlebioRxiv : the preprint server for biology2026

A universal platform for simultaneous TCRα/β removal enables safer and more potent TCR therapies and autoimmune modeling.

Giorgia Zanetti, Mateusz Legut, Austin Chen, Farshid Fathi, Nathan Suek, Nato Teteloshvili, Hao Wei Li, Xiaolan Ding, Daniel Traum, Klaus H Kaestner and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

17 authors.

Giorgia ZanettiColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Mateusz LegutOverT Bio, New York, NY, USA.
Austin ChenColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Farshid FathiColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Nathan SuekColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Nato TeteloshviliColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Hao Wei LiColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Xiaolan DingColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Daniel TraumInstitute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Klaus H KaestnerInstitute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Ryan E HoangDiabetes Center, University of California, San Francisco, San Francisco, CA, USA.
Edwin BremerDepartment of Hematology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Andrew K SewellDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Audrey V ParentDiabetes Center, University of California, San Francisco, San Francisco, CA, USA.
Remi J CreusotColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Megan SykesColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.
Mohsen Khosravi-MaharlooeiColumbia Center for Translational Immunology, Department of Medicine, Columbia University Medical Center, Columbia University, New York, NY, USA.ORCID 0009-0001-2385-3714

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
XENOGRAFT TOLERANCE THROUGH MIXED CHIMERISMP01AI045897 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Megan Sykes · 2000 to 2026
$71.9M
Translational Biomarker Analytical Core (TBAC)P30DK063608 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Rebecca Anne Haeusler, Utpal Pajvani · 2003 to 2026
$36.7M
Modeling autoimmune pathogenesis and beta cell destruction by T1D immune systemsU01DK123559 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ANDERSON, MARK S, PARENT, AUDREY · 2019 to 2023
$4.3M
Thymic selection abnormalities in Type 1 DiabetesR01AI177872 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Megan Sykes, Robert J Winchester · 2023 to 2026
$3.1M
In vivo development and reactivity of human autoreactive T cellsR01AI142428 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREUSOT, REMI J · 2019 to 2023
$2.0M
BD Biosciences InfluxS10OD020056 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SNOECK, HANS-WILLEM E · 2015 to 2015
$600k
Delineating mechanisms underlying the enhanced stability and functionality of CD2- KO Tregs and chimeric antigen receptor (CAR) Tregs and their application in xenotransplantationR21AI175813 · NIAID · MAYO CLINIC ARIZONA · PI KHOSRAVI MAHARLOOEI, MOHSEN · 2023 to 2024
$458k
Becton Dickinson LSR II Analytical Flow CytometerS10RR027050 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLYNES, RAPHAEL A. · 2011 to 2011
$413k
NCI NIH HHS P30 CA013696NCRR NIH HHS S10 RR027050NIAID NIH HHS P01 AI045897NIAID NIH HHS R01 AI142428NIAID NIH HHS R01 AI177872NIAID NIH HHS R21 AI175813NIDDK NIH HHS P30 DK063608NIDDK NIH HHS U01 DK123559NIH HHS S10 OD020056Wellcome Trust
6 · The paper itself

Abstract

Adoptive T-cell therapies using tumour-specific T-cell receptors (TCRs) are limited by competition with endogenous receptors, which impairs efficacy and poses risks of off-target autoreactivity. Here we present a CRISPR-based platform that completely and selectively eliminates both endogenous TCR-α and -β chains without affecting introduced transgenic TCRs, irrespective of codon optimization. This approach achieves >90% deletion efficiency in Jurkat and primary human T cells, markedly enhancing the expression, pairing fidelity, and functional potency of transgenic receptors. Using a clinically relevant HLA-A*02:01-restricted DMF5 TCR, we show that dual TCR ablation boosts antigen-specific activation and cytotoxicity

Indexed as

Autoimmunity modelingGvHDHuman Immune System mouseImmunotherapyT cell receptorTCR-transgenic

Identifiers

PMID41756994
PMCPMC12934713

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.