Decoding the Data Ecosystem: A CFDE Training Center Podcast

Podcast 09: MoTrPAC and the Science of Fitness

Description

In this episode, Allissa Dillman chats with researchers Malene Lindholm and Dan Katz about their work on MoTrPAC. Malene has a 20-year background in molecular exercise physiology and Dan started his medical training in cardiology and now uses high-dimensional data to understand heart failure. MoTrPAC (Molecular Transducers of Physical Activity Consortium) is a NIH-funded initiative studying exercise effects across multiple sites in the US using both human and animal studies. Dan and Malene explain what the dataset is all about, including what data is collected, from where, and the kinds of raw and pre-processed data available. They also describe how it can be accessed through various user-friendly tools for scientists of all technical abilities. Find out more at https://motrpac-data.org/ and contact them with questions at motrpac-helpdesk@lists.stanford.edu. 

Guests

Malene Lindholm and Dan Katz

Guest Bio

Daniel Katz, MD, is an Assistant Professor of Medicine in the Stanford Center for Biomedical Informatics Research (BMIR) and the Cardiovascular Medicine Divisions. He practices as an Advanced Heart Failure and Transplant Cardiologist. He completed internal medicine residency at Massachusetts General Hospital, general cardiology training at Beth Israel Deaconess Medical Center, and joined Stanford in 2021 for his advanced heart failure training. His research focuses on identifying the various pathophysiological patterns and mechanisms that lead to the heterogeneous syndrome of heart failure. His efforts leverage high dimensional data in many forms including clinical phenotypes, plasma proteomics, metabolomics, and genetics. He is presently engaged in analysis of multi-omics data from MoTrPAC, and the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. 

Malene Lindholm, PhD, is a senior research engineer and Director of the Human Molecular Athlete Moonshot for the Wu Tsai Human Performance Alliance at Stanford University. After earning her PhD in Medicine at the Karolinska Institute in Sweden, she performed her postdoctoral studies at the Cardiovascular Institute at Stanford University. Her current research focuses on unraveling the multi-omics adaptation mechanisms to exercise across tissues and the genetic basis of extreme human performance. The ultimate objective is to transform the findings into tangible application in the field of precision exercise health and medicine.

ABOUT THE PODCAST

Host Bio

Allissa Dillman, PhD, Training and Engagement Director for the CFDE Training Center, is the founder and CEO of BioData Sage LLC, a company focused on providing a holistic approach to data science integration in the biomedical and biological science fields. She works with clients in industry, academia, government, and the nonprofit sector to create and support training programs on bioinformatics, cloud computing, and the tools and standards for reproducible data science practices for scientific and lay communities. She also creates community events, such as hackathons, where broad communities work towards solving real biomedical data challenges. Dr. Dillman is a member of the adjunct faculty at Montgomery College and has over 10 years of experience working for the National Institutes of Health (NIH). Her work focuses on lowering the barriers of entry for data science and cloud computing. She received her PhD in computational neuroscience as part of the graduate partnership program between NIH and the Karolinska Institute, Sweden.

Why Listen?

Decoding the Data Ecosystem: A CFDE Training Center Podcast is more than just a podcast; it's a community for anyone passionate about the potential of omics research to solve complex biological puzzles and address pressing health challenges. Whether you're a seasoned researcher, a student just starting out, or simply curious about the future of biology, this podcast offers valuable insights, inspiring stories, and practical advice to guide your journey through the world of omics research training and education.

Availability

Find Decoding the Data Ecosystem on your favorite podcast platform, including Spotify, Apple Podcasts, Google Podcasts, and more. Subscribe today to stay updated with the latest episodes and join the conversation shaping the future of omics research training and education. This podcast is hosted by Oak Ridge Associated Universities (ORAU). Learn more at orau.org.

Links

• Contact the CFDE Training Center