SEP 30, 2020 7:30 AM PDT

Keynote Presentation: Functionalizing Genome Editing Techniques on a Broad Range of Cellular Targets

Presented at: CRISPR 2020
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Assistant Member, Center for Advanced Genome Engineering (CAGE), St. Jude Children's Research Hospital, Department of Cell and Molecular Biology
    Biography

      Shondra Pruett-Miller, Ph.D. is an Assistant Member in the Department of Cell and Molecular Biology, the Founding Director of the Center for Advanced Genome Engineering (CAGE), and the Associate Director of Shared Resoucres for the Comprehensive Cancer Center at St. Jude Children’s Research Hospital in Memphis, TN.  Shondra completed her Ph.D. in Cell and Molecular Biology from The University of Texas Southwestern Medical Center in August 2008.  While at UT Southwestern, she worked in Matthew Porteus’ lab on the optimization of zinc finger nucleases for use in mammalian cells.  After graduate school, she was recruited to Sigma-Aldrich as a Senior Scientist in R&D working on their CompoZr ZFN technology.  In 2012, she returned to academia as the Founder and Director of the Genome Engineering and iPSC Center (GEiC) at Washington University School of Medicine in St. Louis.  In 2017, she joined the Faculty at St. Jude Children’s Research Hospital where she established and is directing the Center for Advanced Genome Engineering (CAGE).  Shondra has overseen the creation of over 1000 custom edited clonal cell lines, more than 250 custom edited preclinical animal models, and over 50 custom pooled gRNA screens.


    Abstract

    Genome Engineering allows the easy manipulation of genomes down to the nucleotide level.  Targeted deep sequencing enables the detection and quantification of low-frequency editing events.  However, the large amounts of data generated by targeted deep sequencing can be difficult to interpret and quickly analyze.  We have developed a Python-based computer program called CRIS.py that allows the easy analysis of multiple types of editing events.  We will show examples of how rapid deep sequence analysis has guided experimental design leading to high-efficiency genome editing in a broad range of applications.

    Learning Objectives:

    1. Discuss assays for evaluating on-target genome editing outcomes

    2. Explain CRIS.py NGS pipeline

    3. Discuss best practices for creating custom genome edited cell lines and animals


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