Proteomics calibration with Lindsay Pino (#59)

April 21, 2021

In this episode, Lindsay Pino discusses the challenges of making quantitative measurements in the field of proteomics. Specifically, she discusses the difficulties of comparing measurements across different samples, potentially acquired in different labs, as well as a method she has developed recently for calibrating these measurements without the need for expensive reagents. The discussion then turns more broadly to questions in genomics that can potentially be addressed using proteomic measurements.

Links:

• Talus Bioscience
• Matrix-Matched Calibration Curves for Asssessing Analytical Figures of Merit in Quantitative Proteomics (Lindsay K. Pino, Brian C. Searle, Han-Yin Yang, Andrew N. Hoofnagle, William S. Noble, and Michael J. MacCross)

Music: Eric Skiff — Come and Find Me (modified, licensed under CC BY 4.0).

Subscribe to the bioinformatics chat on Apple Podcasts, Pocket Casts, Spotify, or any other podcasting app via the RSS feed link. You can also follow the podcast on Mastodon and Twitter and support it on Patreon.