Doxorubicin-induced transcriptome meets interactome: identification of new drug targets

dc.contributor.authorTaymaz Nikerel, Hilal
dc.date.accessioned2022-11-10T09:34:10Z
dc.date.available2022-11-10T09:34:10Z
dc.date.issued2022
dc.description.abstractAbstract: The working mechanism of the chemotherapeutic drug doxorubicin, which is frequently used in cancer treatment, its effects on cell metabolism, and pathways activated solely by doxorubicin are not fully known. Understanding these principles is important both in improving existing therapies and in finding new drug targets. Here, I describe a systems-biology approach to find a generalizable working principle for doxorubicin by superimposition of human interactome over gene datasets commonly expressed among various cancer types. The common –in at least two different diseases–transcriptional response of distinctive cancer cell lines to doxorubicin was reflected via 199 significantly and differentially expressed genes, mostly related to the regulation of transcription. Then, by integrating with interactome data, an active network was constructed allowing detection of clusters. Since each cluster defines densely connected regions, another level of understanding of functional principles is provided. Significant clusters were associated with the linked transcription factors and transcriptional factor enrichment analysis within these regulatory networks led to the proposition of Pou5f1b, Znf428, Prmt3, Znf12, Erg, Tfdp1, Foxm1, and Cenpa as new drug targets in drug development that can be applied in different cancer types. © TÜBİTAK.en_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.3906/biy-2107-45
dc.identifier.issn1300-0152
dc.identifier.pmid37533515en_US
dc.identifier.scopus2-s2.0-85129117455en_US
dc.identifier.trdizinid521699en_US
dc.identifier.urihttps://hdl.handle.net/11411/4660
dc.identifier.urihttps://doi.org/10.3906/biy-2107-45
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/521699en_US
dc.identifier.wosWOS:000783708700003en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.indekslendigikaynakPubMeden_US
dc.issue2en_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors1en_US
dc.pages137 - 144en_US
dc.publisherTUBITAKen_US
dc.relation.ispartofTurkish Journal of Biologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBioinformaticsen_US
dc.subjectdoxorubicinen_US
dc.subjectinteractomeen_US
dc.subjectsystems biologyen_US
dc.subjecttranscriptomeen_US
dc.titleDoxorubicin-induced transcriptome meets interactome: identification of new drug targets
dc.typeArticle
dc.volume46en_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
Taymaz2022.pdf
Boyut:
5.74 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.71 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: