Evidence map›Paper›PMID 39612336›Full record

ArticleScience advances2024

T cell receptor-centric perspective to multimodal single-cell data analysis.

Kerry A Mullan, My Ha, Sebastiaan Valkiers, Nicky de Vrij, Benson Ogunjimi, Kris Laukens, Pieter Meysman

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Review
  6. Article
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

7 authors.

Kerry A MullanAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-4400-1198
My HaAntwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), Antwerp, Belgium.ORCID 0000-0002-6262-341X
Sebastiaan ValkiersAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-4940-1310
Nicky de VrijAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-7962-745X
Benson OgunjimiAntwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), Antwerp, Belgium.ORCID 0000-0002-0831-2063
Kris LaukensAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-8217-2564
Pieter MeysmanAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-5903-633X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The T cell receptor (TCR), despite its importance, is underutilized in single-cell analysis, with gene expression features solely driving current strategies. Here, we argue for a TCR-first approach, more suited toward T cell repertoires. To this end, we curated a large T cell atlas from 12 prominent human studies, containing in total 500,000 T cells spanning multiple diseases, including melanoma, head and neck cancer, blood cancer, and lung transplantation. Here, we identified severe limitations in cell-type annotation using unsupervised approaches and propose a more robust standard using a semi-supervised method or the TCR arrangement. We showcase the utility of a TCR-first approach through application of the STEGO.R tool for the identification of treatment-related dynamics and previously unknown public T cell clusters with potential antigen-specific properties. Thus, the paradigm shift to a TCR-first can highlight overlooked key T cell features that have the potential for improvements in immunotherapy and diagnostics.

Indexed as

Receptors, Antigen, T-CellSingle-Cell AnalysisData AnalysisHumansNeoplasmsT-LymphocytesReceptors, Antigen, T-Cell

Identifiers

PMID39612336
PMCPMC11606500

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.