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Breaking through RT-qPCR boundaries in gene expression analysis

Presented By: Jennifer Sandoval, M.S. Speaker Biography: Jennifer Sandoval joined Thermo Fisher Scientific in 2010 as a Technical Scientist and has supported genome editing and analysis during her career for over 17 years. An experienced scientist with a background in pharmaceutical drug development, Jennifer’s specialty has been focused on the effects of endothelin antagonists on hepatic hemodynamics in cirrhotic rats, as well as genomic profiling analysis of epidermal growth factors and prostaglandin dehydrogenase markers in ovarian cancer. She holds a master’s degree in Biochemistry and Molecular Biology from the University of Arkansas Medical School in Little Rock, Arkansas. Jennifer is passionate about new technologies for genomic analysis and is always searching for ways to share new findings with the scientific community. Webinar: Breaking through RT-qPCR boundaries in gene expression analysis Webinar Abstract: Variation in gene expression among cell types, tissues, and organisms is commonly examined by reverse transcription quantitative PCR, or RT-qPCR. In this process, RNA is isolated from samples of interest and reverse-transcribed into complementary DNA (cDNA). The levels of gene expression are then determined from the quantity of cDNA amplified by PCR. The initial stages of the RT-qPCR workflow, such as RNA isolation and reverse transcription, can critically impact the accuracy of the quantitation of gene expression. LabRoots on Social: Facebook:   / labrootsinc   Twitter:   / labroots   LinkedIn:   / labroots   Instagram:   / labrootsinc   Pinterest:   / labroots   SnapChat: labroots_inc