PMID- 30090105
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230926
IS  - 1664-3224 (Print)
IS  - 1664-3224 (Electronic)
IS  - 1664-3224 (Linking)
VI  - 9
DP  - 2018
TI  - Predicting Antigen Presentation-What Could We Learn From a Million Peptides?
PG  - 1716
LID - 10.3389/fimmu.2018.01716 [doi]
LID - 1716
AB  - Antigen presentation lies at the heart of immune recognition of infected or 
      malignant cells. For this reason, important efforts have been made to predict 
      which peptides are more likely to bind and be presented by the human leukocyte 
      antigen (HLA) complex at the surface of cells. These predictions have become even 
      more important with the advent of next-generation sequencing technologies that 
      enable researchers and clinicians to rapidly determine the sequences of pathogens 
      (and their multiple variants) or identify non-synonymous genetic alterations in 
      cancer cells. Here, we review recent advances in predicting HLA binding and 
      antigen presentation in human cells. We argue that the very large amount of 
      high-quality mass spectrometry data of eluted (mainly self) HLA ligands generated 
      in the last few years provides unprecedented opportunities to improve our ability 
      to predict antigen presentation and learn new properties of HLA molecules, as 
      demonstrated in many recent studies of naturally presented HLA-I ligands. 
      Although major challenges still lie on the road toward the ultimate goal of 
      predicting immunogenicity, these experimental and computational developments will 
      facilitate screening of putative epitopes, which may eventually help decipher the 
      rules governing T cell recognition.
FAU - Gfeller, David
AU  - Gfeller D
AD  - Department of Oncology, Ludwig Institute for Cancer Research, University of 
      Lausanne, Lausanne, Switzerland.
AD  - Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
FAU - Bassani-Sternberg, Michal
AU  - Bassani-Sternberg M
AD  - Department of Oncology, Ludwig Institute for Cancer Research, University of 
      Lausanne, Lausanne, Switzerland.
AD  - Department of Oncology, Ludwig Institute for Cancer Research, University Hospital 
      of Lausanne, Lausanne, Switzerland.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20180725
PL  - Switzerland
TA  - Front Immunol
JT  - Frontiers in immunology
JID - 101560960
PMC - PMC6068240
OTO - NOTNLM
OT  - T cell epitope
OT  - antigen presentation
OT  - computational immunology
OT  - human leukocyte antigen ligand prediction
OT  - human leukocyte antigen peptidomics
EDAT- 2018/08/10 06:00
MHDA- 2018/08/10 06:01
PMCR- 2018/01/01
CRDT- 2018/08/10 06:00
PHST- 2018/04/27 00:00 [received]
PHST- 2018/07/12 00:00 [accepted]
PHST- 2018/08/10 06:00 [entrez]
PHST- 2018/08/10 06:00 [pubmed]
PHST- 2018/08/10 06:01 [medline]
PHST- 2018/01/01 00:00 [pmc-release]
AID - 10.3389/fimmu.2018.01716 [doi]
PST - epublish
SO  - Front Immunol. 2018 Jul 25;9:1716. doi: 10.3389/fimmu.2018.01716. eCollection 
      2018.