Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows

STAR Protoc. 2021 Oct 23;2(4):100910. doi: 10.1016/j.xpro.2021.100910. eCollection 2021 Dec 17.

Abstract

MicroRNAs (miRNAs) are elements of the gene regulatory network and manipulating their abundance is essential toward elucidating their role in patho-physiological conditions. We present a detailed workflow that identifies important miRNAs using a machine learning algorithm. We then provide optimized techniques to validate the identified miRNAs through over-expression/loss-of-function studies. Overall, these protocols apply to any field in biology where high-dimensional data are produced. For complete details on the use and execution of this protocol, please refer to Wong et al. (2021a).

Keywords: Bioinformatics; Cell culture; Computer sciences; Gene Expression; Molecular Biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Cell Culture Techniques / methods
  • Cells, Cultured
  • Gene Expression Profiling / methods*
  • Gene Knockdown Techniques
  • Gene Regulatory Networks / genetics
  • Humans
  • Islets of Langerhans / cytology
  • Machine Learning*
  • MicroRNAs / genetics*
  • Transcriptome / genetics*
  • Workflow

Substances

  • MicroRNAs