TY  - JOUR
AU  - Cirac, Ana
AU  - Poirey, Remy
AU  - Dieckmeyer, Michael
AU  - Witter, Klaus
AU  - Delecluse, Henri-Jacques
AU  - Behrends, Uta
AU  - Mautner, Josef
TI  - Immunoinformatic Analysis Reveals Antigenic Heterogeneity of Epstein-Barr Virus Is Immune-Driven.
JO  - Frontiers in immunology
VL  - 12
SN  - 1664-3224
CY  - Lausanne
PB  - Frontiers Media
M1  - DKFZ-2022-00025
SP  - 796379
PY  - 2021
N1  - #EA:F100#
AB  - Whole genome sequencing of Epstein-Barr virus (EBV) isolates from around the world has uncovered pervasive strain heterogeneity, but the forces driving strain diversification and the impact on immune recognition remained largely unknown. Using a data mining approach, we analyzed more than 300 T-cell epitopes in 168 published EBV strains. Polymorphisms were detected in approximately 65
KW  - Epstein-Barr virus (Other)
KW  - T-cell epitope (Other)
KW  - immunoinformatics (Other)
KW  - strain variants (Other)
KW  - virus evolution (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:34975903
C2  - pmc:PMC8716887
DO  - DOI:10.3389/fimmu.2021.796379
UR  - https://inrepo02.dkfz.de/record/178375
ER  -