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

STAR Protocols

Najah T. Nassif¹  Mugdha V. Joglekar¹  Ronald C.W. Ma¹  Wilson K.M. Wong²  Louise T. Dalgaard³  Guozhi Jiang⁴  Vijit Saini⁴  Ann M. Simpson⁴  Anandwardhan A. Hardikar⁵ 

[1] Gilchrist Drive, Campbelltown, NSW 2560, Australia;School of Life Sciences and the Centre for Health Technologies, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia;Department of Medicine and Therapeutics, and Hong Kong Institute of Diabetes and Obesity, and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Special Administrative Region, China;;Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road &School of Life Sciences and the Centre for Health Technologies, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia;

关键词: Bioinformatics;    Cell culture;    Molecular Biology;    Gene Expression;    Computer sciences;   

DOI  :  

来源: DOAJ

【 摘 要 】

Summary: 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).

【 授权许可】

Unknown