Evidence map›Paper›PMID 28369038›Full record

ArticleNature genetics2017

Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire.

Ryan O Emerson, William S DeWitt, Marissa Vignali, Jenna Gravley, Joyce K Hu, Edward J Osborne, Cindy Desmarais, Mark Klinger, Christopher S Carlson, John A Hansen and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 346 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
346citing papers in PubMed, 1 pooled it
29.0field-weighted citation impact, top 1% 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

346 citing papers in PubMed, 1 synthesis or guideline pooled it, 581 citations in OpenAlex.

  1. Resolving SARS-CoV-2 CD4Cell reports. Medicine · 2022
    Pooled it
  2. Trial
  3. Gliadin-specific CD4Science advances · 2026
    Article
  4. Review
  5. Article
  6. T Cell Thoughts.Immunological reviews · 2026
    Review
  7. Article
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  10. Review
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  12. Article
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  14. Review
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  20. Article

286 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

12 authors at 2 institutions in 1 country.

Ryan O EmersonAdaptive Biotechnologies, Seattle, Washington, USA.
William S DeWittAdaptive Biotechnologies, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-6802-9139
Marissa VignaliAdaptive Biotechnologies, Seattle, Washington, USA.
Jenna GravleyFred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Joyce K HuAdaptive Biotechnologies, Seattle, Washington, USA.
Edward J OsborneAdaptive Biotechnologies, Seattle, Washington, USA.
Cindy DesmaraisAdaptive Biotechnologies, Seattle, Washington, USA.
Mark KlingerAdaptive Biotechnologies, Seattle, Washington, USA.
Christopher S CarlsonFred Hutchinson Cancer Research Center, Seattle, Washington, USA.
John A HansenFred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Mark RiederAdaptive Biotechnologies, Seattle, Washington, USA.
Harlan S RobinsAdaptive Biotechnologies, Seattle, Washington, USA.
Adaptive Biotechnologies (United States) · USFred Hutch Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro, and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy.

Indexed as

AlgorithmsCohort StudiesCytomegalovirusEpitopes, T-LymphocyteHigh-Throughput Nucleotide SequencingHistocompatibility TestingHLA-A AntigensHLA AntigensHLA-B AntigensHost-Pathogen InteractionsHumansModels, ImmunologicalReceptors, Antigen, T-CellReproducibility of ResultsT-LymphocytesEpitopes, T-LymphocyteHLA-A AntigensHLA AntigensHLA-B AntigensReceptors, Antigen, T-Cell

Identifiers

PMID28369038
OpenAlexW2605177850

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.