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MicroRNA Interactome Multiomics Characterization for Cancer Research and Personalized Medicine: An Expert Review

K J Sindhu1, Nalini Venkatesan1, Devarajan Karunagaran1

  • 1Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India.

Omics : a Journal of Integrative Biology
|August 27, 2021
PubMed

Insights

Multiomics approaches reveal the crucial role of microRNA (miRNA) interactomes in cancer. Understanding these interactions is key for developing predictive, preventive, and personalized cancer medicine.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) and their interactomes are vital in cancer pathogenesis and treatment.
  • Single-omics methods provide incomplete insights into the complex miRNA interactome.
  • Multiomics approaches are essential for a comprehensive understanding of miRNA interactions.

Purpose of the Study:

  • To review multiomics strategies for identifying miRNA interactomes in cancer.
  • To highlight the application of miRNA interactomes in cancer classification and therapeutic target discovery.
  • To discuss the integration of single-omics and computational methods for miRNA interactome analysis.

Main Methods:

  • Expert review of existing literature on multiomics approaches for miRNA interactome identification.
  • Focus on studies utilizing proteomics in conjunction with other omics data.
  • Inclusion of computational methods for miRNA interactome prediction and analysis.

Main Results:

  • Multiomics approaches offer a comprehensive view of miRNA interactomes, surpassing single-omics limitations.
  • Proteomics-focused studies are instrumental in dissecting miRNA-protein interactions within the cancer interactome.
  • Integration of various omics data and computational tools enhances the identification and characterization of miRNA interactomes.

Conclusions:

  • Multiomics strategies are powerful tools for elucidating miRNA interactomes in cancer.
  • Understanding the miRNA interactome is critical for advancing predictive, preventive, and personalized medicine in oncology.
  • The review emphasizes the potential of integrated omics and computational approaches for future cancer research and clinical applications.
Keywords:
MicroRNAbiomarkerscancerinteractomemultiomicsproteomics

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