Name:
An introduction to gene expression analysis
Description:
An introduction to gene expression analysis
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Duration:
T00H02M26S
Embed URL:
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Content URL:
https://cadmoreoriginalmedia.blob.core.windows.net/566e4b99-b6c1-4952-bd03-bdef7d005434/Gene Expression Analysis V7.mp4?sv=2019-02-02&sr=c&sig=84dVSUbhC3JglhAY3ZIOzTFJZDqsH19YCcGEK51gTVc%3D&st=2024-11-23T12%3A07%3A39Z&se=2024-11-23T14%3A12%3A39Z&sp=r
Upload Date:
2023-06-05T00:00:00.0000000
Transcript:
Language: EN.
Segment:0 .
Genetic analysis has been long established as a crucial tool for overcoming the challenges inherent in the discovery and development of cutting edge biologics. Pharmaceutical researchers employ a wide variety of genetic analysis to better understand how the biochemical action of an investigational molecular entity can infer its intended benefit, efficacy and safety, or identify its potential for adverse reactions.
An ideal way for scientists to understand a drug's potential effect is to identify genes inherent in the disease state in question and measure their expression following exposure to the proposed agent. Because of its highly sensitive, quick and reproducible analysis, real time PCR or q, PCR is revered as a gold standard choice for many applications in biologics, discovery and development, including gene expression analysis during drug target identification.
Q PCR based gene expression analysis can be used to demonstrate inhibition or activation of pathways associated with a particular disease state by quantitate and comparing mrna levels in disease versus control samples, scientists can help validate hypotheses and generate actionable insights into target selection. Similarly, during subsequent lead selection and validation studies, comparing gene expression profiles before and after administering the treatment can demonstrate inhibition or activation of a disease associated pathway during discovery and development.
Q PCR based gene expression analysis can be used for many applications, such as identifying a gene of interest, plasmid engineering and viral vector development to monitor transgene expression. It can also be used to confirm biodistribution and in vivo expression by quantitative mrna levels in specific tissues. Lastly, gene expression analysis plays a critical role in candidate preclinical safety and toxicity screening, helping to monitor for therapeutic efficacy and off target effects in preclinical and clinical trials.
To find out more about gene expression studies and QPCR, check out our infocus with Thermo Fisher Scientific at biotech. Dexcom