Evidence map›Paper›PMID 23500145›Full record

ArticleJournal of immunological methods2013

Engineering improved T cell receptors using an alanine-scan guided T cell display selection system.

Karolina Malecek, Shi Zhong, Katelyn McGary, Connie Yu, Kevin Huang, Laura A Johnson, Steven A Rosenberg, Michelle Krogsgaard

Abstract read
In one paragraph

Article in Journal of immunological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Strategies and rules for tuning TCR-derived therapy.Expert reviews in molecular medicine · 2023
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. T-cell Receptors EngineeredCancer immunology research · 2019
    Article
  16. Article
  17. Weaponizing T-cell receptors through molecular engineering.The Journal of biological chemistry · 2019
    Article
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Karolina MalecekNYU Cancer institute, New York University School of Medicine, NewYork, NY 10016, USA.
Shi Zhong
Katelyn McGary
Connie Yu
Kevin Huang
Laura A Johnson
Steven A Rosenberg
Michelle Krogsgaard
New York University · USNational Institutes of Health · USEastern Cooperative Oncology Group · US

Funding

Training program in Molecular BiophysicsT32GM088118 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI STOKES, DAVID L. · 2010 to 2019
$1.8M
Visualizing ligand-induced signal propagation in the TCR-signaling complexR01GM085586 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE · 2008 to 2014
$1.5M
Biophysical analysis of T-cell discrimination among classes of self-ligandsU01CA137070 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE · 2009 to 2010
$701k
NCI NIH HHS U01 CA137070NCI NIH HHS U01CA137070NIGMS NIH HHS R01 GM085586NIGMS NIH HHS R01GM085586NIGMS NIH HHS T32 GM088118
6 · The paper itself

Abstract

T cell receptors (TCRs) on T cells recognize peptide-major histocompatibility complex (pMHC) molecules on the surface of antigen presenting cells and this interaction determines the T cell immune response. Due to negative selection, naturally occurring TCRs bind self (tumor) peptides with low affinity and have a much higher affinity for foreign antigens. This complicates isolation of naturally occurring, high affinity TCRs that mediate more effective tumor rejection for therapeutic purposes. An attractive approach to resolve this issue is to engineer high affinity TCRs in vitro using phage, yeast or mammalian TCR display systems. A caveat of these systems is that they rely on a large library by random mutagenesis due to the lack of knowledge regarding the specific interactions between the TCR and pMHC. We have focused on the mammalian retroviral display system because it uniquely allows for direct comparison of TCR-pMHC-binding properties with T-cell activation outcomes. Through an alanine-scanning approach, we are able to quickly map the key amino acid residues directly involved in TCR-pMHC interactions thereby significantly reducing the library size. Using this method, we demonstrate that for a self-antigen-specific human TCR (R6C12) the key residues for pMHC binding are located in the CDR3β region. This information was used as a basis for designing an efficacious TCR CDR3α library that allowed for selection of TCRs with higher avidity than the wild-type as evaluated through binding and activation experiments. This is a direct approach to target specific TCR residues in TCR library design to efficiently engineer high avidity TCRs that may potentially be used to enhance adoptive immunotherapy treatments.

Indexed as

AlanineAntigensCytokinesHLA-A2 AntigenHumansLymphocyte ActivationMajor Histocompatibility ComplexMutagenesisProtein BindingReceptors, Antigen, T-CellRetroviridaeT-LymphocytesAlanineAntigensCytokinesHLA-A2 AntigenReceptors, Antigen, T-Cell

Identifiers

PMID23500145
PMCPMC3668434
OpenAlexW1981964848

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.