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المؤلفMathew, S.
المؤلفMathew, Shilu
المؤلفFakhroo, Aisha D.
المؤلفSmatti, Maria
المؤلفAl Thani, Asmaa A.
المؤلفYassine, Hadi M.
تاريخ الإتاحة2022-09-13T14:49:40Z
تاريخ النشر2022-04-01
اسم المنشورImmunogenetics
المعرّفhttp://dx.doi.org/10.1007/s00251-021-01250-5
الاقتباسMathew, S., Fakhroo, A. D., Smatti, M., Al Thani, A. A., & Yassine, H. M. (2022). Immunoinformatics prediction of potential immunodominant epitopes from human coronaviruses and association with autoimmunity. Immunogenetics, 74(2), 213-229.‏
الرقم المعياري الدولي للكتاب00937711
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122920081&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/33923
الملخصCross-reactivity between different human coronaviruses (HCoVs) might contribute to COVID-19 outcomes. Here, we aimed to predict conserved peptides among different HCoVs that could elicit cross-reacting B cell and T cell responses. Three hundred fifty-one full-genome sequences of HCoVs, including SARS-CoV-2 (51), SARS-CoV-1 (50), MERS-CoV (50), and common cold species OC43 (50), NL63 (50), 229E (50), and HKU1 (50) were downloaded aligned using Geneious Prime 20.20. Identification of epitopes in the conserved regions of HCoVs was carried out using the Immune Epitope Database (IEDB) to predict B- and T-cell epitopes. Further, we identified sequences that bind multiple common MHC and modeled the three-dimensional structures of the protein regions. The search yielded 73 linear and 35 discontinuous epitopes. A total of 16 B-cell and 19 T-cell epitopes were predicted through a comprehensive bioinformatic screening of conserved regions derived from HCoVs. The 16 potentially cross-reactive B-cell epitopes included 12 human proteins and four viral proteins among the linear epitopes. Likewise, we identified 19 potentially cross-reactive T-cell epitopes covering viral proteins. Interestingly, two conserved regions: LSFVSLAICFVIEQF (NSP2) and VVHSVNSLVSSMEVQSL (spike), contained several matches that were described epitopes for SARS-CoV. Most of the predicted B cells were buried within the SARS-CoV-2 protein regions’ functional domains, whereas T-cell stretched close to the functional domains. Additionally, most SARS-CoV-2 predicted peptides (80%) bound to different HLA types associated with autoimmune diseases. We identified a set of potential B cell and T cell epitopes derived from the HCoVs that could contribute to different diseases manifestation, including autoimmune disorders.
اللغةen
الناشرSpringer Science and Business Media Deutschland GmbH
الموضوعAuto-immune disease
B cell
Coronavirus
Cross-reactivity
Immunoinformatics
T cell
العنوانImmunoinformatics prediction of potential immunodominant epitopes from human coronaviruses and association with autoimmunity
النوعArticle
رقم العدد2
رقم المجلد74
dc.accessType Open Access


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