Identification of protein-protein interaction bridges for multiple sclerosis

dc.authorid0000-0003-0334-811X
dc.authorid0000-0003-1106-3288
dc.contributor.authorYazıcı, Gözde
dc.contributor.authorKurt Vatandaşlar, Burcu
dc.contributor.authorAydın Cantürk, İlknur
dc.contributor.authorAydınlı, Fatmagül İlayda
dc.contributor.authorArıcı Düz, Özge
dc.contributor.authorKarakoç, Emre
dc.contributor.authorKerman, Bilal Ersen
dc.contributor.authorAlkan, Can
dc.date.accessioned2023-05-15T13:55:30Z
dc.date.available2023-05-15T13:55:30Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Nöroloji Ana Bilim Dalı
dc.description.abstractMotivation: Identifying and prioritizing disease-related proteins is an important scientific problem to develop proper treatments. Network science has become an important discipline to prioritize such proteins. Multiple sclerosis, an autoimmune disease for which there is still no cure, is characterized by a damaging process called demyelination. Demyelination is the destruction of myelin, a structure facilitating fast transmission of neuron impulses, and oligodendrocytes, the cells producing myelin, by immune cells. Identifying the proteins that have special features on the network formed by the proteins of oligodendrocyte and immune cells can reveal useful information about the disease.Results: We investigated the most significant protein pairs that we define as bridges among the proteins providing the interaction between the two cells in demyelination, in the networks formed by the oligodendrocyte and each type of two immune cells (i.e. macrophage and T-cell) using network analysis techniques and integer programming. The reason, we investigated these specialized hubs was that a problem related to these proteins might impose a bigger damage in the system. We showed that 61%-100% of the proteins our model detected, depending on parameterization, have already been associated with multiple sclerosis. We further observed the mRNA expression levels of several proteins we prioritized significantly decreased in human peripheral blood mononuclear cells of multiple sclerosis patients. We therefore present a model, BriFin, which can be used for analyzing processes where interactions of two cell types play an important role.
dc.identifier.citationYazıcı, G., Kurt Vatandaşlar, B., Aydın Cantürk, İ., Aydınlı, F. İ., Arıcı Düz, Ö., Karakoç, E. ... Alkan, C. (2023). Identification of protein-protein interaction bridges for multiple sclerosis. Bioinformatics, 39(4). https://doi.org/10.1093/bioinformatics/btad175
dc.identifier.doi10.1093/bioinformatics/btad175
dc.identifier.issn1367-4803
dc.identifier.issn1367-4811
dc.identifier.issue4
dc.identifier.pmid37018152
dc.identifier.scopus2-s2.0-85160769134
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1093/bioinformatics/btad175
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10944
dc.identifier.volume39
dc.identifier.wos000975574900002en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorKurt Vatandaşlar, Burcu
dc.institutionauthorAydınlı, Fatmagül İlayda
dc.institutionauthorArıcı Düz, Özge
dc.institutionauthorKerman, Bilal Ersen
dc.language.isoen
dc.publisherOxford University Press
dc.relation.ispartofBioinformaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/1001-218S495
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectT-CELLS
dc.subjectMyelin
dc.subjectAtlas
dc.titleIdentification of protein-protein interaction bridges for multiple sclerosis
dc.typeArticle

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