Integrating 5hmC and gene expression data to infer regulatory mechanisms | Zendy

Cristina Mitrea | Zendy; Priyanga Wijesinghe | Zendy; Greg Dyson | Zendy; Adéle Kruger | Zendy; Douglas M. Ruden | Zendy; Sorin Drăghici | Zendy; Aliccia BolligFischer | Zendy

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Integrating 5hmC and gene expression data to infer regulatory mechanisms

Author(s) -

Cristina Mitrea,

Priyanga Wijesinghe,

Greg Dyson,

Adéle Kruger,

Douglas M. Ruden,

Sorin Drăghici,

Aliccia BolligFischer

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx777

Subject(s) - computational biology , gene expression , expression (computer science) , regulation of gene expression , gene , computer science , regulatory sequence , gene expression profiling , biology , genetics , programming language

Epigenetic mechanisms are known to play a major role in breast cancer. However, the role of 5-hydroxymethylcytosine (5hmC) remains understudied. We hypothesize that 5hmC mediates redox regulation of gene expression in an aggressive subtype known as triple negative breast cancer (TNBC). To address this, our objective was to highlight genes that may be the target of this process by identifying redox-regulated, antioxidant-sensitive, gene-localized 5hmC changes associated with mRNA changes in TNBC cells.

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