Evidence map›Paper›PMID 30485806›Full record

ArticleCell reports2018

Identifying and Tracking Low-Frequency Virus-Specific TCR Clonotypes Using High-Throughput Sequencing.

Kyle Wolf, Tyler Hether, Pavlo Gilchuk, Amrendra Kumar, Ahmad Rajeh, Courtney Schiebout, Julie Maybruck, R Mark Buller, Tae-Hyuk Ahn, Sebastian Joyce and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Deciphering the TCR Repertoire to Solve the COVID-19 Mystery.Trends in pharmacological sciences · 2020
    Review
  17. Article
  18. 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

11 authors at 5 institutions in 2 countries.

Kyle WolfDepartment of Molecular Microbiology and Immunology, Saint Louis University, Saint Louis, MO 63104, USA.
Tyler HetherAdaptive Biotechnologies, Seattle, WA 98102, USA.
Pavlo GilchukDepartment of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA.
Amrendra KumarDepartment of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA.
Ahmad RajehProgram in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO 63104, USA.
Courtney SchieboutProgram in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO 63104, USA.
Julie MaybruckFederal Bureau of Investigation, Washington, DC 20535, USA.
R Mark BullerDepartment of Molecular Microbiology and Immunology, Saint Louis University, Saint Louis, MO 63104, USA.
Tae-Hyuk AhnDepartment of Computer Science, Saint Louis University, Saint Louis, MO 63104, USA; Program in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO 63104, USA.
Sebastian JoyceDepartment of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA.
Richard J DiPaoloDepartment of Molecular Microbiology and Immunology, Saint Louis University, Saint Louis, MO 63104, USA. Electronic address: richard.dipaolo@health.slu.edu.
Saint Louis University · USVanderbilt University · USSaint Louis University · ESAdaptive Biotechnologies (United States) · USFederal Bureau of Investigation · US

Funding

Molecular Basis of CD1D and Natural Killer T Cell FunctionR01AI137082 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOYCE, SEBASTIAN · 2019 to 2022
$2.1M
Processing and Presentation of Minor Histocompatibility Antigens that Cause GvHDR01HL121139 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOYCE, SEBASTIAN · 2014 to 2017
$1.6M
Vaccinating at Mucosal Surfaces with Nanoparticle Conjugated Antigen and AdjuvantI01BX001444 · VA · VETERANS HEALTH ADMINISTRATION · PI JOYCE, SEBASTIAN · 2014 to 2022
–
BLRD Research Career Scientist Award ApplicationIK6BX004595 · VA · VETERANS HEALTH ADMINISTRATION · PI JOYCE, SEBASTIAN · 2019 to 2025
–
BLRD VA I01 BX001444BLRD VA IK6 BX004595NHLBI NIH HHS R01 HL121139NIAID NIH HHS R01 AI137082
6 · The paper itself

Abstract

Tracking antigen-specific T cell responses over time within individuals is difficult because of lack of knowledge of antigen-specific TCR sequences, limitations in sample size, and assay sensitivities. We hypothesized that analyses of high-throughput sequencing of TCR clonotypes could provide functional readouts of individuals' immunological histories. Using high-throughput TCR sequencing, we develop a database of TCRβ sequences from large cohorts of mice before (naive) and after smallpox vaccination. We computationally identify 315 vaccine-associated TCR sequences (VATS) that are used to train a diagnostic classifier that distinguishes naive from vaccinated samples in mice up to 9 months post-vaccination with >99% accuracy. We determine that the VATS library contains virus-responsive TCRs by in vitro expansion assays and virus-specific tetramer sorting. These data outline a platform for advancing our capabilities to identify pathogen-specific TCR sequences, which can be used to identify and quantitate low-frequency pathogen-specific TCR sequences in circulation over time with exceptional sensitivity.

Indexed as

Cell TrackingAmino Acid SequenceAnimalsClone CellsFemaleGene LibraryHigh-Throughput Nucleotide SequencingMaleMice, Inbred C57BLOrthopoxvirusPeptidesPoxviridae InfectionsReceptors, Antigen, T-CellVaccinationVirusesPeptidesReceptors, Antigen, T-CellbiomarkersDNA sequencingHLA-A2monkeypoxT cell receptorvaccinia

Identifiers

PMID30485806
PMCPMC7770954
OpenAlexW2902657486

What OpenQuestion holds

Textmetadata
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.