Translating Proteomics
‘Translating Proteomics’ explores the science of proteomics and its growing impact on biological research, biomarker discovery, drug development, food and energy security, and a range of other timely topics. The goal of these conversations is to expose you to important issues in proteomics, deepen your love of science, and prompt you to question assumptions about what may be possible.
Your hosts are Drs. Parag Mallick and Andreas Huhmer of Nautilus Biotechnology. Parag is an Associate Professor at Stanford University whose lab performs systems biology studies that drive precision medicine approaches for cancer diagnosis and treatment. Andreas is a veteran scientist whose industry work has supported thousands of proteomics researchers by helping to bring the latest mass spec technologies into their labs.
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All episodes of the Translating Proteomics podcast
The idea to measure the proteome to get a clear understanding of healthy and diseased tissues at the molecular level has been around for many years but has not come to fruition in a broadly accessible and applicable way. In this episode we discuss:
- Why now is the time to make this goal a reality
- Why past efforts to broadly leverage proteomics did not work out
- What we’ve learned from the past
- What’s changed in proteomics and science in general that makes a proteomics breakthrough possible
Learn more about proteomics
Sure, proteomics may revolutionize precision medicine and biomarker discovery, but did you know it can help make better cheese? Listen to this episode of “Translating Proteomics” featuring Nautilus Co-Founder and Chief Scientist, Parag Mallick, and Nautilus Senior Director of Scientific Affairs and Alliance Management, Andreas Huhmer to learn the many ways we can put the proteome to work as the proteomics revolution begins to bear fruit.
Learn more about applications of proteomics
It’s no surprise that biological systems change dramatically over space and time, but we often ignore these dynamics when comparing biological samples. In the latest episode of Translating Proteomics, Parag and Andreas discuss why it’s essential to take space and time into account and envision ways we can design experiments that explicitly incorporate spacial and temporal considerations.
Chapters:
00:00 – Biological systems as dynamic, adaptive systems
04:45 – How current experimental designs rarely take space and time into account
11:54 – The tools necessary to sufficiently measure biology in space and time
Some key takeaways from the conversation:
- Different biological processes occur at very different time scales
- Complex, multiomic interactions can only be understood over time and space
- We need to properly collect, annotate, and share omics-level data in order to understand the rules that govern complex biology
Protein biomarkers are proteins measured as indicators of biological processes. People often hope biomarkers will take the form of elevated or decreased amounts of single proteins, but few single protein measurements provide specific and sensitive indications of biological processes. In this episode of Translating Proteomics, Parag and Andreas discuss why it is difficult to find new biomarkers and describe how new techniques can enable the development of multi protein, multi-time point, and even multiomic biomarkers that have more potential than any single protein measurement.
Learn more about biomarkers.
Chapters:
00:00 – What are biomarkers and why are they hard to find?
06:40 – What makes a good biomarker?
13:35 – How we can move beyond single-protein/single measurement biomarkers
Some key points of discussion:
- Biomarkers are difficult to find because of the methods we use to find them and because there is a ton of variability in natural biological systems
- Most proteins are biomarkers
- We need more proteome-scale data over space and time to find new biomarkers
Subscribe to Translating Proteomics on YouTube, Apple Podcasts, Spotify, or your favorite podcast outlet