{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Balz K"],"funding":["Philipps-Universität Marburg","NIAID NIH HHS","NIH HHS"],"pagination":["4792"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7910599"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(1)"],"pubmed_abstract":["The outbreak of the new severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a public health emergency. Asthma does not represent a risk factor for COVID-19 in several published cohorts. We hypothesized that the SARS-CoV-2 proteome contains T cell epitopes, which are potentially cross-reactive to allergen epitopes. We aimed at identifying homologous peptide sequences by means of two distinct complementary bioinformatics approaches. Pipeline 1 included prediction of MHC Class I and Class II epitopes contained in the SARS-CoV-2 proteome and allergens along with alignment and elaborate ranking approaches. Pipeline 2 involved alignment of SARS-CoV-2 overlapping peptides with known allergen-derived T cell epitopes. Our results indicate a large number of MHC Class I epitope pairs incl"],"journal":["Scientific reports"],"pubmed_title":["Homologies between SARS-CoV-2 and allergen proteins may direct T cell-mediated heterologous immune responses."],"pmcid":["PMC7910599"],"funding_grant_id":["R01 AI140134","U01 AI140498","R01AI140134-01","U01AI140498-03"],"pubmed_authors":["Balz K","Skevaki C","Chen M","Cemic F","Renz H","Kaushik A","Heger V","Nadeau K"],"additional_accession":[]},"is_claimable":false,"name":"Homologies between SARS-CoV-2 and allergen proteins may direct T cell-mediated heterologous immune responses.","description":"The outbreak of the new severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a public health emergency. Asthma does not represent a risk factor for COVID-19 in several published cohorts. We hypothesized that the SARS-CoV-2 proteome contains T cell epitopes, which are potentially cross-reactive to allergen epitopes. We aimed at identifying homologous peptide sequences by means of two distinct complementary bioinformatics approaches. Pipeline 1 included prediction of MHC Class I and Class II epitopes contained in the SARS-CoV-2 proteome and allergens along with alignment and elaborate ranking approaches. Pipeline 2 involved alignment of SARS-CoV-2 overlapping peptides with known allergen-derived T cell epitopes. Our results indicate a large number of MHC Class I epitope pairs incl","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Feb","modification":"2026-07-16T01:25:56.532Z","creation":"2021-03-05T09:12:44Z"},"accession":"S-EPMC7910599","cross_references":{"pubmed":["33637823"],"doi":["10.1038/s41598-021-84320-8"]}}