Evidence map›Paper›PMID 24522437›Full record

ArticleScientific reports2014

The complex and specific pMHC interactions with diverse HIV-1 TCR clonotypes reveal a structural basis for alterations in CTL function.

Zhen Xia, Huabiao Chen, Seung-gu Kang, Tien Huynh, Justin W Fang, Pedro A Lamothe, Bruce D Walker, Ruhong Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. A mutagenesis study of autoantigen optimization for potential T1D vaccine design.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. In silico design and validation of high-affinity RNA aptamers targeting epithelial cellular adhesion molecule dimers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Article
  7. Article
  8. T cell receptors for the HIV KK10 epitope from patients with differential immunologic control are functionally indistinguishable.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. 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.

Zhen Xia1] Computational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA [2].
Huabiao Chen1] Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA [2].
Seung-gu KangComputational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA.
Tien HuynhComputational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA.
Justin W FangRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
Pedro A LamotheRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
Bruce D Walker1] Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland, USA.
Ruhong Zhou1] Computational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA [2] Department of Chemistry, Columbia University, New York, New York, USA.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
INHIBITION OF HIV1 REPLICATION BY CYTOTOXIC LYMPHOCYTESR01AI030914 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI WALKER, BRUCE D · 1991 to 2013
$4.2M
Howard Hughes Medical InstituteNIAID NIH HHS 5 P30 AI060354-04NIAID NIH HHS AI030914NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI030914
6 · The paper itself

Abstract

Immune control of viral infections is modulated by diverse T cell receptor (TCR) clonotypes engaging peptide-MHC class I complexes on infected cells, but the relationship between TCR structure and antiviral function is unclear. Here we apply in silico molecular modeling with in vivo mutagenesis studies to investigate TCR-pMHC interactions from multiple CTL clonotypes specific for a well-defined HIV-1 epitope. Our molecular dynamics simulations of viral peptide-HLA-TCR complexes, based on two independent co-crystal structure templates, reveal that effective and ineffective clonotypes bind to the terminal portions of the peptide-MHC through similar salt bridges, but their hydrophobic side-chain packings can be very different, which accounts for the major part of the differences among these clonotypes. Non-specific hydrogen bonding to viral peptide also accommodates greater epitope variants. Furthermore, free energy perturbation calculations for point mutations on the viral peptide KK10 show excellent agreement with in vivo mutagenesis assays, with new predictions confirmed by additional experiments. These findings indicate a direct structural basis for heterogeneous CTL antiviral function.

Indexed as

Binding SitesCrystallography, X-RayEpitopesHistocompatibility Antigens Class IHIV-1HLA-B27 AntigenHydrogen BondingModels, MolecularMolecular Dynamics SimulationMutagenesisPeptidesProtein BindingProtein Structure, QuaternaryReceptors, Antigen, T-CellThermodynamicsEpitopesHistocompatibility Antigens Class IHLA-B*27:05 antigenHLA-B27 AntigenPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID24522437
PMCPMC3923210

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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.