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dc.contributor.authorYurduseven, Kübra
dc.contributor.authorBabal, Yigit Koray
dc.contributor.authorÇelik, Eşref
dc.contributor.authorKerman, Bilal Ersen
dc.contributor.authorAksan Kurnaz, Işıl
dc.date.accessioned2022-05-27T08:19:32Z
dc.date.available2022-05-27T08:19:32Z
dc.date.issued2022en_US
dc.identifier.citationYurduseven, K., Babal, Y. K., Çelik, E., Kerman, B. E. ve Aksan Kurnaz, I. (2022). Multiple sclerosis biomarker candidates revealed by cell-type-specific interactome analysis. Omics : A Journal of Integrative Biology, 26(5), 305-317. https://doi.org/10.1089/omi.2022.0023en_US
dc.identifier.issn1536-2310
dc.identifier.issn1557-8100
dc.identifier.urihttps://doi.org/10.1089/omi.2022.0023
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9470
dc.description.abstractMultiple sclerosis (MS) is a demyelinating disorder that affects multiple regions of the central nervous system such as the brain, spinal cord, and optic nerves. Susceptibility to MS, as well as disease progression rates, displays marked patient-to-patient variability. To date, biomarkers that forecast differences in clinical phenotypes and outcomes have been limited. In this context, cell-type-specific interactome analyses offer important prospects and hope for novel diagnostics and therapeutics. We report here an original study using bioinformatic analysis of MS data sets that revealed interaction profiles as well as specific hub proteins in white matter (WM) and gray matter (GM) that appear critical for disease mechanisms. First, cell-type-specific interactome analyses suggested that while interactions within the WM were focused on oligodendrocytes, interactions within the GM were mostly neuron centric. Second, hub proteins such as APP, EGLN3, PTEN, and LRRK2 were identified to be differentially regulated in MS data sets. Lastly, a comparison of the brain and peripheral blood samples identified biomarker candidates such as NRGN, CRTC1, CDC42, and IFITM3 to be differentially expressed in different types of MS. These findings offer a unique cell-type-specific cell-to-cell interaction network in MS and identify potential biomarkers by comparative analysis of the brain and the blood transcriptomics. From a study design and methodology perspective, we suggest that the cell-type-specific interactome analysis is an important systems science frontier that might offer new insights on other neurodegenerative and brain disorders as well.en_US
dc.language.isoengen_US
dc.publisherMary Ann Lieberten_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiomarkersen_US
dc.subjectInteractomeen_US
dc.subjectMolecular Targetsen_US
dc.subjectMultiple Sclerosisen_US
dc.subjectNeurodegenerative Diseasesen_US
dc.subjectPersonalized Medicineen_US
dc.titleMultiple sclerosis biomarker candidates revealed by cell-type-specific interactome analysisen_US
dc.typearticleen_US
dc.relation.ispartofOmics : A Journal of Integrative Biologyen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)en_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsüen_US
dc.authorid0000-0003-1106-3288en_US
dc.identifier.volume26en_US
dc.identifier.issue5en_US
dc.identifier.startpage305en_US
dc.identifier.endpage317en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1089/omi.2022.0023en_US
dc.institutionauthorYurduseven, Kübra
dc.institutionauthorÇelik, Eşref
dc.institutionauthorKerman, Bilal Ersen
dc.identifier.wosqualityQ2en_US
dc.identifier.wos000792498600001en_US
dc.identifier.scopus2-s2.0-85130002702en_US
dc.identifier.pmid35483054en_US
dc.identifier.scopusqualityQ2en_US


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