Evidence map›Paper›PMID 29712860›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

The C-terminal extension landscape of naturally presented HLA-I ligands.

Philippe Guillaume, Sarah Picaud, Petra Baumgaertner, Nicole Montandon, Julien Schmidt, Daniel E Speiser, George Coukos, Michal Bassani-Sternberg, Panagis Filippakopoulos, David Gfeller

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Structural Prediction of Peptide-MHC Binding Modes.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Immunoinformatics: Predicting Peptide-MHC Binding.Annual review of biomedical data science · 2020
    Article
  20. Review
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

10 authors at 3 institutions in 2 countries.

Philippe GuillaumeLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.
Sarah PicaudStructural Genomics Consortium, Nuffield Department of Clinical Medicine, University of Oxford, OX3 7DQ Oxford, United Kingdom.
Petra BaumgaertnerLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.
Nicole MontandonLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.
Julien SchmidtLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.
Daniel E SpeiserLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.ORCID 0000-0003-2031-3250
George CoukosLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.
Michal Bassani-SternbergLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland.
Panagis FilippakopoulosStructural Genomics Consortium, Nuffield Department of Clinical Medicine, University of Oxford, OX3 7DQ Oxford, United Kingdom.
David GfellerLudwig Institute for Cancer Research, Department of Fundamental Oncology, University of Lausanne, 1066 Epalinges, Switzerland; david.gfeller@unil.ch.ORCID 0000-0002-3952-0930
Ludwig Cancer Research · CHUniversity of Oxford · GBSIB Swiss Institute of Bioinformatics · CH

Funding

Medical Research Council MR/N010051/1Wellcome TrustWellcome Trust 092809/Z/10/ZWellcome Trust 095751/Z/11/Z
6 · The paper itself

Abstract

HLA-I molecules play a central role in antigen presentation. They typically bind 9- to 12-mer peptides, and their canonical binding mode involves anchor residues at the second and last positions of their ligands. To investigate potential noncanonical binding modes, we collected in-depth and accurate HLA peptidomics datasets covering 54 HLA-I alleles and developed algorithms to analyze these data. Our results reveal frequent (442 unique peptides) and statistically significant C-terminal extensions for at least eight alleles, including the common HLA-A03:01, HLA-A31:01, and HLA-A68:01. High resolution crystal structure of HLA-A68:01 with such a ligand uncovers structural changes taking place to accommodate C-terminal extensions and helps unraveling sequence and structural properties predictive of the presence of these extensions. Scanning viral proteomes with the C-terminal extension motifs identifies many putative epitopes and we demonstrate direct recognition by human CD8

Indexed as

AlgorithmsAmino Acid SequenceAntigen PresentationCrystallography, X-RayEpitopes, T-LymphocyteHLA AntigensHumansLigandsPeptide FragmentsProtein BindingT-LymphocytesEpitopes, T-LymphocyteHLA AntigensLigandsPeptide Fragmentscomputational immunologyHLA-I–peptide interactionsHLA-I structuresHLA peptidomicsT cell epitope

Identifiers

PMID29712860
PMCPMC5960288
OpenAlexW2767178058

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.