Evidence map›Paper›PMID 30796163›Full record

ArticleThe Journal of biological chemistry2019

Human cytomegalovirus-specific T-cell receptor engineered for high affinity and soluble expression using mammalian cell display.

Ellen K Wagner, Ahlam N Qerqez, Christopher A Stevens, Annalee W Nguyen, George Delidakis, Jennifer A Maynard

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Strategies and rules for tuning TCR-derived therapy.Expert reviews in molecular medicine · 2023
    Review
  6. Nanoparticle-based modulation of CD4Nature communications · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Weaponizing T-cell receptors through molecular engineering.The Journal of biological chemistry · 2019
    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

6 authors at 1 institution in 1 country.

Ellen K WagnerFrom the McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712.
Ahlam N QerqezFrom the McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712.
Christopher A StevensFrom the McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712.
Annalee W NguyenFrom the McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712.
George DelidakisFrom the McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712.
Jennifer A MaynardFrom the McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712. Electronic address: maynard@che.utexas.edu.
The University of Texas at Austin · US

Funding

Engineered receptors for CMV-targeted adoptive T cell immunotherapyR21AI144719 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI MAYNARD, JENNIFER A · 2019 to 2020
$409k
Mammalian platform for identification of polyclonal antibody cancer therapiesF32GM111018 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI NGUYEN, ANNALEE W. · 2014 to 2016
$180k
NIAID NIH HHS HHSN272201300006CNIAID NIH HHS R21 AI144719NIGMS NIH HHS F32 GM111018
6 · The paper itself

Abstract

T-cell receptors (TCR) have considerable potential as therapeutics and antibody-like reagents to monitor disease progression and vaccine efficacy. Whereas antibodies recognize only secreted and surface-bound proteins, TCRs recognize otherwise inaccessible disease-associated intracellular proteins when they are presented as processed peptides bound to major histocompatibility complexes (pMHC). TCRs have been primarily explored for cancer therapy applications but could also target infectious diseases such as cytomegalovirus (CMV). However, TCRs are more difficult to express and engineer than antibodies, and advanced methods are needed to enable their widespread use. Here, we engineered the human CMV-specific TCR RA14 for high-affinity and robust soluble expression. To achieve this, we adapted our previously reported mammalian display system to present TCR extracellular domains and used this to screen CDR3 libraries for clones with increased pMHC affinity. After three rounds of selection, characterized clones retained peptide specificity and activation when expressed on the surface of human Jurkat T cells. We obtained high yields of soluble, monomeric protein by fusing the TCR extracellular domains to antibody hinge and Fc constant regions, adding a stabilizing disulfide bond between the constant domains and disrupting predicted glycosylation sites. One variant exhibited 50 nm affinity for its cognate pMHC, as measured by surface plasmon resonance, and specifically stained cells presenting this pMHC. Our work has identified a human TCR with high affinity for the immunodominant CMV peptide and offers a new strategy to rapidly engineer soluble TCRs for biomedical applications.

Indexed as

Gene ExpressionGene LibraryProtein EngineeringAnimalsCHO CellsCricetulusCytomegalovirusHumansImmunoglobulin Constant RegionsJurkat CellsMiceProtein DomainsReceptors, Antigen, T-CellRecombinant Fusion ProteinsSolubilityImmunoglobulin Constant RegionsReceptors, Antigen, T-CellRecombinant Fusion Proteinsaffinityantibody engineeringantiviral treatmentcytomegalovirusglycosylationimmunoglobulin foldprotein engineeringrecombinant protein expressionT-cell receptor

Identifiers

PMID30796163
PMCPMC6463697
OpenAlexW2916483558

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.