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dc.contributor.authorYiğit, Esra Nur
dc.contributor.authorSönmez, Ekin
dc.contributor.authorYüksel, İsa
dc.contributor.authorAksan Kurnaz, Işıl
dc.contributor.authorÇakır, Tunahan
dc.date.accessioned2023-09-13T12:26:37Z
dc.date.available2023-09-13T12:26:37Z
dc.date.issued2023en_US
dc.identifier.citationYiğit, E. N., Sönmez, E., Yüksel, İ., Aksan Kurnaz, I. ve Çakır, T. (2023). A transcriptome based approach to predict candidate drug targets and drugs for Parkinson's disease using an in vitro 6-OHDA model. Molecular Omics, 19(3), 218-228. https://dx.doi.org/10.1039/d2mo00267aen_US
dc.identifier.issn2515-4184
dc.identifier.urihttps://dx.doi.org/10.1039/d2mo00267a
dc.identifier.urihttps://hdl.handle.net/20.500.12511/11424
dc.description.abstractThe most common treatment strategies for Parkinson's disease (PD) aim to slow down the neurodegeneration process or control the symptoms. In this study, using an in vitro PD model we carried out a transcriptome-based drug target prediction strategy. We identified novel drug target candidates by mapping genes upregulated in 6-OHDA-treated cells on a human protein-protein interaction network. Among the predicted targets, we show that AKR1C3 and CEBPB are promising in validating our bioinformatics approach since their known ligands, rutin and quercetin, respectively, act as neuroprotective drugs that effectively decrease cell death, and restore the expression profiles of key genes upregulated in 6-OHDA-treated cells. We also show that these two genes upregulated in our in vitro PD model are downregulated to basal levels upon drug administration. As a further validation of our methodology, we further confirm that the potential target genes identified with our bioinformatics approach are also upregulated in post-mortem transcriptome samples of PD patients from the literature. Therefore, we propose that this methodology predicts novel drug targets AKR1C3 and CEBPB, which are relevant to future clinical applications as potential drug repurposing targets for PD. Our systems-based computational approach to predict candidate drug targets can be employed in identifying novel drug targets in other diseases without a priori assumption.en_US
dc.language.isoengen_US
dc.publisherRoyal Society of Chemistryen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject6-OHDA Modelen_US
dc.subjectParkinson's Diseaseen_US
dc.subjectDrugsen_US
dc.subjectPredict Candidateen_US
dc.titleA transcriptome based approach to predict candidate drug targets and drugs for Parkinson's disease using an in vitro 6-OHDA modelen_US
dc.typearticleen_US
dc.relation.ispartofMolecular Omicsen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsüen_US
dc.authorid0000-0001-9037-5217en_US
dc.identifier.volume19en_US
dc.identifier.issue3en_US
dc.identifier.startpage218en_US
dc.identifier.endpage228en_US
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/315S302
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1039/d2mo00267aen_US
dc.institutionauthorYiğit, Esra Nur
dc.identifier.wosqualityQ3en_US
dc.identifier.wos000920909700001en_US
dc.identifier.scopus2-s2.0-85147436735en_US
dc.identifier.pmid36723117en_US
dc.identifier.scopusqualityQ2en_US


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