scholarly journals Genetics of HLA peptide presentation, and impact on outcomes in HLA-matched allo-HCT.

Author(s):  
Charlotte McIlwaine Story ◽  
Tao Wang ◽  
Vijaya Raj Bhatt ◽  
Minoo Battiwalla ◽  
Sherif M. Badawy ◽  
...  
Keyword(s):  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pep Amengual-Rigo ◽  
Victor Guallar

AbstractAntigens presented on the cell surface have been subjected to multiple biological processes. Among them, C-terminal antigen processing constitutes one of the main bottlenecks of the peptide presentation pathways, as it delimits the peptidome that will be subjected downstream. Here, we present NetCleave, an open-source and retrainable algorithm for the prediction of the C-terminal antigen processing for both MHC-I and MHC-II pathways. NetCleave architecture consists of a neural network trained on 46 different physicochemical descriptors of the cleavage site amino acids. Our results demonstrate that prediction of C-terminal antigen processing achieves high accuracy on MHC-I (AUC of 0.91), while it remains challenging for MHC-II (AUC of 0.66). Moreover, we evaluated the performance of NetCleave and other prediction tools for the evaluation of four independent immunogenicity datasets (H2-Db, H2-Kb, HLA-A*02:01 and HLA-B:07:02). Overall, we demonstrate that NetCleave stands out as one of the best algorithms for the prediction of C-terminal processing, and we provide one of the first evidence that C-terminal processing predictions may help in the discovery of immunogenic peptides.


2021 ◽  
pp. 100111
Author(s):  
Rachel Marty Pyke ◽  
Datta Mellacheruvu ◽  
Steven Dea ◽  
Charles Abbott ◽  
Simo V. Zhang ◽  
...  

Nature ◽  
1987 ◽  
Vol 330 (6149) ◽  
pp. 660-662 ◽  
Author(s):  
Janet L. Maryanski ◽  
Jean-Pierre Abastado ◽  
Philippe Kourilsky

Biomaterials ◽  
2020 ◽  
Vol 245 ◽  
pp. 119973 ◽  
Author(s):  
Ben P. Hung ◽  
Tomas Gonzalez-Fernandez ◽  
Jenny B. Lin ◽  
Takeyah Campbell ◽  
Yu Bin Lee ◽  
...  

2019 ◽  
Vol 37 (3) ◽  
pp. 639-650 ◽  
Author(s):  
Jatin Arora ◽  
Federica Pierini ◽  
Paul J McLaren ◽  
Mary Carrington ◽  
Jacques Fellay ◽  
...  

Abstract Pathogen-mediated balancing selection is regarded as a key driver of host immunogenetic diversity. A hallmark for balancing selection in humans is the heterozygote advantage at genes of the human leukocyte antigen (HLA), resulting in improved HIV-1 control. However, the actual mechanism of the observed heterozygote advantage is still elusive. HLA heterozygotes may present a broader array of antigenic viral peptides to immune cells, possibly resulting in a more efficient cytotoxic T-cell response. Alternatively, heterozygosity may simply increase the chance to carry the most protective HLA alleles, as individual HLA alleles are known to differ substantially in their association with HIV-1 control. Here, we used data from 6,311 HIV-1-infected individuals to explore the relative contribution of quantitative and qualitative aspects of peptide presentation in HLA heterozygote advantage against HIV. Screening the entire HIV-1 proteome, we observed that heterozygous individuals exhibited a broader array of HIV-1 peptides presented by their HLA class I alleles. In addition, viral load was negatively correlated with the breadth of the HIV-1 peptide repertoire bound by an individual’s HLA variants, particularly at HLA-B. This suggests that heterozygote advantage at HLA-B is at least in part mediated by quantitative peptide presentation. We also observed higher HIV-1 sequence diversity among HLA-B heterozygous individuals, suggesting stronger evolutionary pressure from HLA heterozygosity. However, HLA heterozygotes were also more likely to carry certain HLA alleles, including the highly protective HLA-B*57:01 variant, indicating that HLA heterozygote advantage ultimately results from a combination of quantitative and qualitative effects in antigen presentation.


Sign in / Sign up

Export Citation Format

Share Document