JAN 21, 2016 8:00 AM PST

How to identify key genes with CRISPR-Cas9 and shRNA screens

Sponsored by: Dharmacon, Dharmacon
Speaker

Abstract
DATE:  January 21, 2016
TIME:   8am Pacific time, 11am Eastern time


In this webinar, you will learn: 
  • basics of pooled lentiviral screening workflows
  • implications of library size and construct representation
  • effects of depth of gene coverage and fold representation
  • tools to assist experimental planning and analysis
  • real-world data from shRNA and sgRNA pooled lentiviral screens
The ability to modulate gene expression at genome scale has revolutionized functional genomics in mammalian cells. A highly effective method to determine gene function is to perform pooled lentiviral screens. Regardless of whether you are looking to knock out gene function using CRISPR-Cas9 and single guide RNAs (sgRNAs) or knock down gene expression using RNAi and short hairpin RNAs (shRNAs), lentiviral-based pooled screens can be used to interrogate hundreds or thousands of gene targets in parallel. These types of screens can answer a variety of questions including identifying genes that regulate cellular responses and signaling pathways or drug target identification. In comparison to arrayed screens that examine a single reagent at a time and require considerable automation and liquid handling, pooled screens do not require automation and therefore can be performed by many research labs. However, pooled library screening presents unique challenges that must be addressed to ensure experimental success.

During this webinar we will discuss considerations and nuances that can lead to success or failure of pooled lentiviral screens. We will present experimental data to highlight many variables that impact pooled screening including size of the pooled library and maintaining fold-representation throughout the experiment. We will also introduce tools that can make these experiments easier to perform and help ensure successful screening. To provide context for technology selection, we will present a comparison of data from two pooled screens, one using sgRNAs and the other using shRNAs. Both screens analyzed the role of kinases in cell viability.

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