02587nas a2200241   4500008004100000022001400041245011400055210006900169260000800238300001200246490000800258520175700266653002402023653002402047653002802071653001302099653002402112653002102136653001802157100001902175700002102194856013002215       2023                        eng d  a1617-461500aIdentification of potential microRNAs regulating metabolic plasticity and cellular phenotypes in glioblastoma0 aIdentification of potential microRNAs regulating metabolic plast  cJAN  a161-1810 v2983 a<p>
	MicroRNAs (miRNAs) play important role in regulating cellular metabolism, and are currently being explored in cancer. As metabolic reprogramming in cancer is a major mediator of phenotypic plasticity, understanding miRNA-regulated metabolism will provide opportunities to identify miRNA targets that can regulate oncogenic phenotypes by taking control of cellular metabolism. In the present work, we studied the effect of differentially expressed miRNAs on metabolism, and associated oncogenic phenotypes in glioblastoma (GBM) using patient-derived data. Networks of differentially expressed miRNAs and metabolic genes were created and analyzed to identify important miRNAs that regulate major metabolism in GBM. Graph network-based approaches like network diffusion, backbone extraction, and different centrality measures were used to analyze these networks for identification of potential miRNA targets. Important metabolic processes and cellular phenotypes were annotated to trace the functional responses associated with these miRNA-regulated metabolic genes and associated phenotype networks. miRNA-regulated metabolic gene subnetworks of cellular phenotypes were extracted, and important miRNAs regulating these phenotypes were identified. The most important outcome of the study is the target miRNA combinations predicted for five different oncogenic phenotypes that can be tested experimentally for miRNA-based therapeutic design in GBM. Strategies implemented in the study can be used to generate testable hypotheses in other cancer types as well, and design context-specific miRNA-based therapy for individual patient. Their usability can be further extended to other gene regulatory networks in cancer and other genetic diseases.</p>
10aCellular phenotypes10aFunctional analysis10aGlioblastoma metabolism10amicroRNA10amiRNA-based therapy10aNetwork analysis10aTranscriptome1 aBhowmick, Rupa1 aSarkar, Ram, Rup  uhttps://library.ncl.res.in/content/identification-potential-micrornas-regulating-metabolic-plasticity-and-cellular-phenotypes