Evidence map›Paper›PMID 41495027›Full record

ArticleNature communications2026

A multidimensional workflow profiling of allogeneic virus-specific T cell therapies reveals potency-linked signatures.

Corey Smith, Vijayendra Dasari, Sriganesh Srihari, Laetitia Le Texier, Matthew Solomon, Archana Panikkar, Thuy Le, George Ambalathingal, Jyothy Raju, Sweera Rehan and 6 more

Abstract read
In one paragraph

Article in Nature communications, 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.

Corey SmithQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. corey.smith@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0002-7550-9595
Vijayendra DasariQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-2106-0945
Sriganesh SrihariQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Laetitia Le TexierQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Matthew SolomonQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Archana PanikkarQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Thuy LeQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0001-9134-0104
George AmbalathingalQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Jyothy RajuQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Sweera RehanQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Leone BeagleyQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Pauline CrooksQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Panteha KhalediQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0009-0004-1983-3851
Arushi MahajanQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Pamela MukhopadhyayQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Rajiv KhannaQueensland Immunology Research Centre, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. rajiv.khanna@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0003-2241-0353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic virus-specific T cell (VST) therapies offer distinct advantages, including scalability, rapid deployment, and manufacturing consistency, and have demonstrated efficacy in multiple clinical trials. However, identifying VST products with high therapeutic potential remains a major hurdle. Here, we present a multidimensional analytical platform that integrates in vitro and in vivo anti-viral reactivity, T cell receptor (TCR) repertoire analysis, gene expression profiling, immunophenotyping, and functional validation in a humanized mouse model. Epstein-Barr virus (EBV)-specific T cells expanded from HLA-diverse healthy donors consistently enriched for TCRs targeting EBV-encoded antigens. Transcriptomic and high-dimensional flow cytometric analyses revealed a distinct effector-associated signature. Importantly, this integrative approach uncovered correlative biomarkers of T cell potency and effector function, validated in an in vivo model of EBV-driven B cell lymphoma. These findings establish a scalable framework for the characterization of allogeneic T cell products and may inform the development of predictive metrics for in vivo efficacy.

Indexed as

Epstein-Barr Virus InfectionsHerpesvirus 4, HumanImmunotherapy, AdoptiveT-LymphocytesAnimalsGene Expression ProfilingHumansLymphoma, B-CellMiceReceptors, Antigen, T-CellWorkflowReceptors, Antigen, T-Cell

Identifiers

PMID41495027
PMCPMC12795813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.