Evidence map›Paper›PMID 30451992›Full record

ArticleNature biotechnology2018

T cell receptor fingerprinting enables in-depth characterization of the interactions governing recognition of peptide-MHC complexes.

Amalie K Bentzen, Lina Such, Kamilla K Jensen, Andrea M Marquard, Leon E Jessen, Natalie J Miller, Candice D Church, Rikke Lyngaa, David M Koelle, Jürgen C Becker and 6 more

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

53 citing papers in PubMed, 93 citations in OpenAlex.

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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 at 5 institutions in 5 countries.

Amalie K BentzenDepartment of Micro and Nanotechnology, Technical University of Denmark, Lyngby, Denmark.
Lina SuchDepartment of Micro and Nanotechnology, Technical University of Denmark, Lyngby, Denmark.
Kamilla K JensenDepartment of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
Andrea M MarquardDepartment of Micro and Nanotechnology, Technical University of Denmark, Lyngby, Denmark.
Leon E JessenDepartment of Micro and Nanotechnology, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0003-2879-2559
Natalie J MillerDepartment of Medicine, Divisions of Dermatology, University of Washington, Seattle, Washington, USA.
Candice D ChurchDepartment of Medicine, Divisions of Dermatology, University of Washington, Seattle, Washington, USA.
Rikke LyngaaDepartment of Micro and Nanotechnology, Technical University of Denmark, Lyngby, Denmark.
David M KoelleDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Jürgen C BeckerTranslational Skin Cancer Research, University Hospital Essen and University of Duisburg-Essen, Essen, Germany.
Carsten LinnemannDepartment of Molecular Oncology & Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-2879-2559
Ton N M SchumacherDepartment of Molecular Oncology & Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-0517-8804
Paolo MarcatiliDepartment of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
Paul NghiemDepartment of Medicine, Divisions of Dermatology, University of Washington, Seattle, Washington, USA.
Morten NielsenDepartment of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
Sine R HadrupDepartment of Micro and Nanotechnology, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-5937-4344
Technical University of Denmark · DKUniversity of Washington · USThe Netherlands Cancer Institute · NLNational University of General San Martín · ARUniversity of Duisburg-Essen · DE

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Understand & overcome resistance to PD-1P01CA225517 · NCI · UNIVERSITY OF WASHINGTON · PI Cecilia C Yeung · 2019 to 2026
$22.7M
Viral oncoprotein targeted immune therapy for Merkel cell carcinomaR01CA176841 · NCI · UNIVERSITY OF WASHINGTON · PI NGHIEM, PAUL · 2013 to 2016
$2.6M
Pathogenetic and prognostic studies for improved therapy of Merkel cell carcinomaK24CA139052 · NCI · UNIVERSITY OF WASHINGTON · PI NGHIEM, PAUL · 2009 to 2018
$1.8M
NCI NIH HHS K24 CA139052NCI NIH HHS P01 CA225517NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA176841
6 · The paper itself

Abstract

The promiscuous nature of T-cell receptors (TCRs) allows T cells to recognize a large variety of pathogens, but makes it challenging to understand and control T-cell recognition. Existing technologies provide limited information about the key requirements for T-cell recognition and the ability of TCRs to cross-recognize structurally related elements. Here we present a 'one-pot' strategy for determining the interactions that govern TCR recognition of peptide-major histocompatibility complex (pMHC). We measured the relative affinities of TCRs to libraries of barcoded peptide-MHC variants and applied this knowledge to understand the recognition motif, here termed the TCR fingerprint. The TCR fingerprints of 16 different TCRs were identified and used to predict and validate cross-recognized peptides from the human proteome. The identified fingerprints differed among TCRs recognizing the same epitope, demonstrating the value of this strategy for understanding T-cell interactions and assessing potential cross-recognition before selection of TCRs for clinical development.

Identifiers

PMID30451992
PMCPMC9452375
OpenAlexW2901423492

What OpenQuestion holds

Textmetadata
LicenceTDM
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.