Analysis of major histocompatibility complex (MHC) immunopeptidomes using mass spectrometry

E Caron, DJ Kowalewski, CC Koh, T Sturm… - Molecular & Cellular …, 2015 - ASBMB
The myriad of peptides presented at the cell surface by class I and class II major
histocompatibility complex (MHC) molecules are referred to as the immunopeptidome and …

A large peptidome dataset improves HLA class I epitope prediction across most of the human population

S Sarkizova, S Klaeger, PM Le, LW Li, G Oliveira… - Nature …, 2020 - nature.com
Prediction of HLA epitopes is important for the development of cancer immunotherapies and
vaccines. However, current prediction algorithms have limited predictive power, in part …

Gapped sequence alignment using artificial neural networks: application to the MHC class I system

M Andreatta, M Nielsen - Bioinformatics, 2016 - academic.oup.com
Motivation: Many biological processes are guided by receptor interactions with linear
ligands of variable length. One such receptor is the MHC class I molecule. The length …

[HTML][HTML] Application of mass spectrometry-based MHC immunopeptidome profiling in neoantigen identification for tumor immunotherapy

X Zhang, Y Qi, Q Zhang, W Liu - Biomedicine & Pharmacotherapy, 2019 - Elsevier
One of the challenges for cancer vaccine and adoptive T-cell-based immunotherapy is to
identify the major histocompatibility complex (MHC)-associated non-self neoantigens …

NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

M Nielsen, M Andreatta - Genome medicine, 2016 - Springer
Background Binding of peptides to MHC class I molecules (MHC-I) is essential for antigen
presentation to cytotoxic T-cells. Results Here, we demonstrate how a simple alignment step …

The length distribution of class I–restricted T cell epitopes is determined by both peptide supply and MHC allele–specific binding preference

T Trolle, CP McMurtrey, J Sidney, W Bardet… - The Journal of …, 2016 - journals.aai.org
HLA class I–binding predictions are widely used to identify candidate peptide targets of
human CD8+ T cell responses. Many such approaches focus exclusively on a limited range …

Computationally optimized SARS-CoV-2 MHC class I and II vaccine formulations predicted to target human haplotype distributions

G Liu, B Carter, T Bricken, S Jain, M Viard… - Cell systems, 2020 - cell.com
We present a combinatorial machine learning method to evaluate and optimize peptide
vaccine formulations for SARS-CoV-2. Our approach optimizes the presentation likelihood of …

Quantification of epitope abundance reveals the effect of direct and cross-presentation on influenza CTL responses

T Wu, J Guan, A Handel, DC Tscharke, J Sidney… - Nature …, 2019 - nature.com
The magnitude of T cell responses to infection is a function of the naïve T cell repertoire
combined with the context and duration of antigen presentation. Using mass spectrometry …

Potential CD8+ T cell cross-reactivity against SARS-CoV-2 conferred by other coronavirus strains

CH Lee, MP Pinho, PR Buckley… - Frontiers in …, 2020 - frontiersin.org
While individuals infected with coronavirus disease 2019 (COVID-19) manifested a broad
range in susceptibility and severity to the disease, the pre-existing immune memory to …

Development of a novel clustering tool for linear peptide sequences

SK Dhanda, K Vaughan, V Schulten, A Grifoni… - …, 2018 - Wiley Online Library
Epitopes identified in large‐scale screens of overlapping peptides often share significant
levels of sequence identity, complicating the analysis of epitope‐related data. Clustering …