Evidence map›Paper›PMID 28287509›Full record

ArticleJournal of visualized experiments : JoVE2017

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens.

Bruce J MacLachlan, Alexander Greenshields-Watson, Georgina H Mason, Andrea J Schauenburg, Valentina Bianchi, Pierre J Rizkallah, Andrew K Sewell, Anna Fuller, David K Cole

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 3 countries.

Bruce J MacLachlanDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
Alexander Greenshields-WatsonDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
Georgina H MasonDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
Andrea J SchauenburgDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
Valentina BianchiDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University; Department of Oncology, University Hospital of Lausanne (CHUV); Ludwig Insitutue for Cancer Research, Lausanne Branch, University of Lausanne.
Pierre J RizkallahDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
Andrew K SewellDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
Anna FullerDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University.
David K ColeDivision of Infection and Immunity and Systems Immunity Research Institute, Cardiff University; ColeDK@cardiff.ac.uk.
Cardiff University · GBInstitute of Infection and Immunity · CAUniversity of Lausanne · CH

Funding

Cancer Research UKWellcome TrustWellcome Trust WT095767
6 · The paper itself

Abstract

Human CD8+ cytotoxic T lymphocytes (CTLs) are known to play an important role in tumor control. In order to carry out this function, the cell surface-expressed T-cell receptor (TCR) must functionally recognize human leukocyte antigen (HLA)-restricted tumor-derived peptides (pHLA). However, we and others have shown that most TCRs bind sub-optimally to tumor antigens. Uncovering the molecular mechanisms that define this poor recognition could aid in the development of new targeted therapies that circumnavigate these shortcomings. Indeed, present therapies that lack this molecular understanding have not been universally effective. Here, we describe methods that we commonly employ in the laboratory to determine how the nature of the interaction between TCRs and pHLA governs T-cell functionality. These methods include the generation of soluble TCRs and pHLA and the use of these reagents for X-ray crystallography, biophysical analysis, and antigen-specific T-cell staining with pHLA multimers. Using these approaches and guided by structural analysis, it is possible to modify the interaction between TCRs and pHLA and to then test how these modifications impact T-cell antigen recognition. These findings have already helped to clarify the mechanism of T-cell recognition of a number of cancer antigens and could direct the development of altered peptides and modified TCRs for new cancer therapies.

Indexed as

Immunity, CellularAntigens, NeoplasmBiophysicsCrystallography, X-RayHumansNeoplasmsReceptors, Antigen, T-CellAntigens, NeoplasmReceptors, Antigen, T-Cell

Identifiers

PMID28287509
PMCPMC5408581
OpenAlexW2587711392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.