Genome-wide functional genomic and transcriptomic analyses for genes regulating sensitivity to vorinostat

Area of Science:

• Oncology
• Molecular Biology
• Genetics

Background:

• Histone deacetylase inhibitors (HDACi), such as vorinostat, are anticancer agents with potential clinical applications.
• Mechanisms of resistance to HDACi can limit their therapeutic efficacy.
• Identifying factors that modulate sensitivity to HDACi is crucial for improving cancer therapy.

Purpose of the Study:

• To identify genes and microRNAs (miRNAs) that influence sensitivity to vorinostat-induced cell death.
• To generate comprehensive datasets for analyzing drug resistance mechanisms.
• To facilitate computational biology approaches for understanding gene regulatory networks in response to HDAC inhibition.

Main Methods:

• Utilized a multi-tier siRNA screening approach to identify genes conferring sensitivity to vorinostat.
• Performed a miRNA overexpression screen to find miRNAs impacting vorinostat sensitivity.
• Conducted transcriptomic analysis via massively parallel sequencing upon knockdown of validated vorinostat-resistance genes.

Main Results:

• A dataset of genes conferring sensitivity to vorinostat-induced cell death upon knockdown was generated.
• A dataset of miRNAs contributing to vorinostat sensitivity was identified.
• Transcriptomic data from 14 validated vorinostat-resistance genes provides insights into resistance mechanisms.

Conclusions:

• The presented datasets enable the analysis of genes and miRNAs involved in cell death pathways modulated by vorinostat.
• These resources support computational studies to uncover gene regulatory networks related to HDAC inhibitor response.
• This work contributes to a better understanding of vorinostat resistance and sensitivity, aiding in the development of more effective cancer treatments.