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PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs.
Naderi Yeganeh, Pourya; Teo, Yue Y; Karagkouni, Dimitra; Pita-Juárez, Yered; Morgan, Sarah L; Slack, Frank J; Vlachos, Ioannis S; Hide, Winston A.
Afiliación
  • Naderi Yeganeh P; Harvard Medical School, Boston, MA, USA.
  • Teo YY; Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Karagkouni D; Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA.
  • Pita-Juárez Y; National University of Singapore, Singapore.
  • Morgan SL; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Slack FJ; Harvard Medical School, Boston, MA, USA.
  • Vlachos IS; Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Hide WA; Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA.
Brief Bioinform ; 24(6)2023 09 22.
Article en En | MEDLINE | ID: mdl-37985452
ABSTRACT
Charting microRNA (miRNA) regulation across pathways is key to characterizing their function. Yet, no method currently exists that can quantify how miRNAs regulate multiple interconnected pathways or prioritize them for their ability to regulate coordinate transcriptional programs. Existing methods primarily infer one-to-one relationships between miRNAs and pathways using differentially expressed genes. We introduce PanomiR, an in silico framework for studying the interplay of miRNAs and disease functions. PanomiR integrates gene expression, mRNA-miRNA interactions and known biological pathways to reveal coordinated multi-pathway targeting by miRNAs. PanomiR utilizes pathway-activity profiling approaches, a pathway co-expression network and network clustering algorithms to prioritize miRNAs that target broad-scale transcriptional disease phenotypes. It directly resolves differential regulation of pathways, irrespective of their differential gene expression, and captures co-activity to establish functional pathway groupings and the miRNAs that may regulate them. PanomiR uses a systems biology approach to provide broad but precise insights into miRNA-regulated functional programs. It is available at https//bioconductor.org/packages/PanomiR.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: MicroARNs Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: MicroARNs Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos