Evidence map›Paper›PMID 30418433›Full record

ArticleNature biotechnology2018

High-throughput determination of the antigen specificities of T cell receptors in single cells.

Shu-Qi Zhang, Ke-Yue Ma, Alexandra A Schonnesen, Mingliang Zhang, Chenfeng He, Eric Sun, Chad M Williams, Weiping Jia, Ning Jiang

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 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

122 citing papers in PubMed, 198 citations in OpenAlex.

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  15. T cell receptor specificity landscape revealed through de novo peptide design.Proceedings of the National Academy of Sciences of the United States of America · 2025
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62 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Shu-Qi ZhangMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, USA.
Ke-Yue MaInstitute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.
Alexandra A SchonnesenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA.
Mingliang ZhangDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Chenfeng HeDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA.
Eric SunDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA.
Chad M WilliamsDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA.
Weiping JiaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.ORCID http://orcid.org/0000-0002-6244-2168
Ning JiangInstitute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.ORCID http://orcid.org/0000-0003-1103-5922
The University of Texas at Austin · USShanghai Jiao Tong University · CNLivestrong Foundation · US

Funding

Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
An integrated therapeutic T cell receptor screening platform for adoptive cell therapy in cancerR33CA225539 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2018 to 2022
$1.1M
Genomic Approaches to the T Cell Receptor Repertoire during AgingR00AG040149 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2013 to 2015
$740k
BioMark HD System for High-Throughput Genomic StudiesS10OD020072 · OD · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2015 to 2015
$489k
NCI NIH HHS R33 CA225539NIA NIH HHS R00 AG040149NIBIB NIH HHS T32 EB007507NIH HHS S10 OD020072
6 · The paper itself

Abstract

We present tetramer-associated T-cell receptor sequencing (TetTCR-seq) to link T cell receptor (TCR) sequences to their cognate antigens in single cells at high throughput. Binding is determined using a library of DNA-barcoded antigen tetramers that is rapidly generated by in vitro transcription and translation. We applied TetTCR-seq to identify patterns in TCR cross-reactivity with cancer neoantigens and to rapidly isolate neoantigen-specific TCRs with no cross-reactivity to the wild-type antigen.

Identifiers

PMID30418433
PMCPMC6728224
OpenAlexW2899327929

What OpenQuestion holds

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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.