Category: Automation and High-Throughput Technologies
Microarray-based comparative genomic hybridization (aCGH), also known as chromosomal microarray analysis (CMA), is a critical tool used in Clinical Diagnostics to detect large deletions and duplications within the genome that are correlated with genetic diseases. We have developed an automated high-throughput cost-effective protocol that improves overall assay reliability and allows for assay miniaturization. Automation of this process allows for improved sample traceability and integrity, dynamic handling of multiple assay panels, and increased sample throughput by four fold at a fraction of the cost compared to manual processing. The Derivative Log Ratio (DLR) spread is used as a measure of array quality with values <0.20 considered as passing. Implementing automation for the aCGH process increased run to run consistency, increased per run processing by a minimum of 4X per technician a day, as well as decreased assay cost by approximately 55% with respect to manual aCGH procedures. This demonstrates how automation enables a rapid, cost-efficient, robust, and high-quality approach to aCGH processing that is essential to ensure sample tractability and integrity in a high-throughput environment.
Emily Greene– Research Associate, Automation Specialist, Ambry Genetics, Aliso Viejo, CA
Research Associate, Automation Specialist
Aliso Viejo, CA
Emily Greene currently serves as a research associate and automation specialist in the Research and Development department of Ambry Genetics. She has a Bachelor’s of Science in Biochemistry from Vanguard University and is completing a Master’s of Science in Microbiology and Cell Science from the University of Florida. Her scientific background also includes chemical and genetic analysis of medically relevant plant extracts as well as a background in forensic alcohol and toxicology.