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24
th
Biotechnology Congress: Research & Innovations
CRISPR Cas9 Technology and Genetic Engineering
Annual Congress on
October 24-25, 2018 | Boston, USA
Journal of Biotechnology & Biomaterials | ISSN: 2155-952X | Volume: 8
Measuring andmonitoring structural variation associatedwith gene editing using directional genomic
hybridization (dGH) and automated image processing
David Sebesta
KromaTiD Inc, USA
A
number of widely used gene editing techniques, including CRISPR/Cas9, ZFNs, TALENs, and meganucleases rely on
directed double-strand breaks and endogenous DNA repair mechanisms. Between repair mechanism failure and cellular
damage induced by harsh editing system conditions, genomic structural changes are unavoidable. Therefore, it is critical to
utilize techniques for the discovery and quantitation of genomic structural rearrangements in populations of cells both before
and after editing. While individual errors are rare, even low prevalence errors or off-target effects pose risks to patients and
require rigorous quantification and control for therapeutic applications. Directional Genomic Hybridization™ (dGH™) is a
highly precise cytogenetic technique, enabling the direct visualization of genomic structural rearrangements of 5kb or less. Using
the reference genome, dGH probes are designed against normal sequence and produced using single-stranded fluorescently
labeled DNA. dGH probes are hybridized to prepared metaphase chromosomes and imaged, with a simple, accessible method.
Structural variations from the reference genome are then easily visualized from the resulting signal. Assessment of cell lines or
patient samples before and after gene editing elucidates the effects of the editing process on the desired edit site and identifies
any off-target effects occurring above the baseline rate of the pre-edit sample. In this poster, we illustrate how dGH is used to
discover and detect structural rearrangements missed by NGS and other methods that use pooled DNA, precisely detecting
the prevalence of multiple and variable rearrangements occurring on a cell by cell basis. We describe our progress toward
automated image analysis in control and edited cell populations. Process development such as AI-based image analysis and
scoring will be presented.
Biography
KromaTiD provides innovative solutions for the discovery, detection and quantification of genomic structural variations. With our dGH™ platform, we are able
to observe gene editing associated rearrangements in their chromosomal structural context. The data is complementary to sequencing and our assays provide
researchers and innovators in gene editing with an additional dimension of data to support optimization of process variables, quantitation of structural offtarget
effects, and tracking of durable genomic changes over time.
David.sebesta@kromatid.comDavid Sebesta, J Biotechnol Biomater 2018, Volume 8
DOI: 10.4172/2155-952X-C4-098