8 afleveringen

‘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. Hosts Parag Mallick Ph.D. and Andreas Huhmer Ph.D. of Nautilus Biotechnology aim to share their perspectives on important issues in proteomics, deepen your love of science, and prompt you to question assumptions about what may be possible.

Translating Proteomics Nautilus Biotechnology

    • Wetenschap

‘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. Hosts Parag Mallick Ph.D. and Andreas Huhmer Ph.D. of Nautilus Biotechnology aim to share their perspectives on important issues in proteomics, deepen your love of science, and prompt you to question assumptions about what may be possible.

    Expanding the Druggable Universe with Proteomics

    Expanding the Druggable Universe with Proteomics

    Despite incredible leaps in our understanding of molecular biology, the majority of drug development efforts still fail, and those that succeed often fail to return investment dollars. Proteomics has the potential to change that by providing high-resolution views of the biochemical drivers of biological function - proteins. In this episode of Translating Proteomics, Parag and Andreas discuss how proteomics can help researchers identify good drug targets, personalize drug development, and advance precision medicine.
    Chapters:
    00:00 - How do we define good drug targets and "druggable" in the age of proteomics
    08:16 - Advancing personalized medicine through proteomics
    10:58 - How proteomics technologies have changed drug development
    15:13 - New abilities next-generation proteomics technologies give us in drug development
    Learn about proteomics and biomarker discovery:
    https://youtu.be/8rcAxHSRGYs?si=kZ0UX42TJ8tWIaSN
    Learn more about proteomics and precision medicine:
    https://youtu.be/bzRlM45agBY?si=eop2XcGLc_oLeiVc

    • 26 min.
    Harnessing Proteoforms to Understand Life's Complexity

    Harnessing Proteoforms to Understand Life's Complexity

    Proteins are far more than just the output of genes. They can be modified in myriad ways to produce millions of proteoforms with altered dynamics, localization, and function. For a comprehensive understanding of biology that will propel drug development and biomarker discovery forward, we need to be able to measure proteoforms routinely. In this episode, Parag and Andreas discuss the incredible value that will come from studying proteoforms and describe what it will take to make proteoform measurement a routine part of biology research.
    Chapters:
    00:00 - Introduction to proteoforms
    09:38 - Evidence that proteoforms are important and how we can use proteoform data
    19:28 - Technology advances needed to understand proteoform biology

    • 24 min.
    The Future of AI in Biomedicine

    The Future of AI in Biomedicine

    AI might be the biggest buzz word of the decade, but the buzz is warranted in terms of its practical potential in biological research. In this episode of Translating Proteomics, Parag and Andreas discuss some of the early wins for AI in biology, practical ways AI can be applied to biology research in the near term, challenges in that application, and how proteomics researchers in particular can use AI to advance their work.
    Chapters:
    00:00 – Why now is the time to apply AI to biomedicine05:28 – Difficulties and potential solutions when applying AI to biology14:20 – How AI will impact the study of proteins19:34 – Risks of AI in biomedicine

    • 24 min.
    Why the Dogma around Biology's Central Dogma Is Wrong

    Why the Dogma around Biology's Central Dogma Is Wrong

    From high school biology on up, we're taught the central dogma of biology - that biological information flows from DNA to RNA to proteins. This representation of the central dogma is, however, very much a simplification of its original formulation by Francis Crick and over-applying it can lead us down spurious paths and faulty conclusions. In this episode of Translating Proteomics, Parag and Andreas dive into the real meaning of the central dogma and discuss how modern biology research, including proteomics, shows we must drastically alter the ways we use and interpret the central dogma.
    Chapters:
    00:00 – What is the central dogma and how is it misinterpreted?
    08:06 – Regulation and control in biology
    11:58 – The need for new models in biology

    • 17 min.
    Single-protein Biomarkers Don't Cut It

    Single-protein Biomarkers Don't Cut It

    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.
    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 systemsMost proteins are biomarkersWe need more proteome-scale data over space and time to find new biomarkers
    Learn more about biomarkers.
    Let us know what you think about the podcast.

    • 21 min.
    Biology in Space and Time

    Biology in Space and Time

    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 scalesComplex, multiomic interactions can only be understood over time and spaceWe need to properly collect, annotate, and share omics-level data in order to understand the rules that govern complex biology
    Let us know what you think about the podcast.

    • 21 min.

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