Olga Troyanskaya, a professor in the department of computer science at Princeton, discusses the impact of evolving biotechnologies on genomics. They explore the intersection of computer science and biology, advancements in genomics tools and technologies, integration of genomics with environment and health, and the importance of making biotechnological tools accessible.
Evolving biotechnologies have improved scientists' ability to see different views of the cell, including RNA, proteomics, and metabolomics at the single-cell level.
Integrated analysis of genomics, proteomics, metabolomics, and environmental factors can lead to more precise treatments and personalized medicine.
Deep dives
Advancements in Biotechnologies for Understanding Cells
The podcast episode features Olga Troinskaya and Vijay Pandey discussing the development of biotechnologies that have enhanced scientists' ability to study cells at different levels. They highlight the importance of looking at RNA, proteomics, and metabolomics at the single-cell level to better understand cell trajectories and the diversity of biology.
Identifying Genomic Vulnerabilities in Environmental Contexts
The conversation delves into how genomic research can unveil individuals' vulnerability to certain diseases in specific environmental conditions. For instance, the podcast mentions a genetic susceptibility to chronic kidney disease exacerbated by living in highly polluted environments. This understanding of genomic signals can lead to tailored treatments that target the individual's unique genetic background and the pathways affected by environmental factors.
Integrating Data Modalities for Precision Medicine
The podcast emphasizes the need to integrate multiple data modalities, such as genomics, proteomics, metabolomics, and environmental factors, to advance precision medicine. By combining molecular, clinical, socioeconomic, and environmental data, researchers aim to uncover the complex interactions and relationships between these variables. The use of advanced AI models and thoughtful generation of targeted data sets are instrumental in developing more precise treatments, predicting outcomes, and spurring new drug development.
Olga Troyanskaya, a professor in the department of computer science at Princeton and Deputy Director for Genomics at the Flatiron Institute's Center for Computational Biology, joins Vijay Pande, founding partner of a16z Bio + Health.
Together, they talked about Olga's background and how she got involved in genomics, as well as how evolving biotechnologies have improved scientists’ ability to see different views of the cell. They also discussed social determinants of health, and how, in the future, studies of genomics and SDoH might pave the way to treatment options.
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