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ATCC's Podcast: Behind the Biology

ATCC
ATCC's Podcast: Behind the Biology
Último episodio

47 episodios

  • ATCC's Podcast: Behind the Biology

    Episode 50: Every Genome Has a Story

    04/08/2026 | 26 min
    Listen in, as Dr. Scott Nguyen continues the conversation by looking at how sequencing data becomes something scientists can actually use. Dr. Nguyen explains that biological data should not be interpreted on its own. To understand what a genome sequence really means, scientists need to consider where the sample came from, how the experiment was performed, what tools were used, and what limitations may exist. He then shapes the discussion around the bigger picture: bioinformatics is not just about running data through software — it also requires judgment, context, and careful review.
  • ATCC's Podcast: Behind the Biology

    Episode 49: Without Context, Data Lies

    28/07/2026 | 29 min
    In this episode, Dave Yarmosh sits down with Dr. Scott Nguyen to introduce the world of biocuration and why it matters in modern biology. Dr. Nguyen explains that biocuration is all about making sure scientific data is connected to the right information. In sequencing work, that means confirming that a genome is matched to the correct strain and that the strain’s background details, or metadata, are accurate. He breaks down why this matters: even the best sequencing data can become confusing or misleading if it is not connected to the right biological context. Dr. Nguyen closes by discussing how scientists need a clear starting point for understanding how careful data organization supports trustworthy science.
  • ATCC's Podcast: Behind the Biology

    Episode 48: Innovation to Application- The Next Chapter of Microphysiological Systems

    09/06/2026 | 18 min
    What’s next for microphysiological systems? In this episode, Dr. Carolina Lucchesi shares her perspective on how these technologies are advancing toward broader adoption in research and drug development. She discusses the potential of patient-derived models to support personalized medicine, the integration of experimental and in silico approaches, and the hurdles that remain in scaling and automation. The conversation also examines the role of MPS in improving safety and predictability—from early drug screening to infectious disease research—while offering a realistic outlook on their future impact.
  • ATCC's Podcast: Behind the Biology

    Episode 47: Rethinking Models- A Scientist’s Path to Organ-on-a-Chip Innovation

    02/06/2026 | 21 min
    What drives a scientist to rethink how we model human biology? In this episode, Dr. Carolina Lucchesi shares how her career evolved from animal-based research to pioneering work in organ-on-a-chip systems. She discusses the technical challenges she helped solve, the growing importance of microphysiological systems in drug discovery, and how ATCC is working to bring greater consistency and trust to these emerging models. The episode also highlights the role of diverse cell sources in building more representative and predictive research systems.
  • ATCC's Podcast: Behind the Biology

    Episode 46: Microphysiological Systems: A Human‑Relevant Bridge

    26/05/2026 | 23 min
    In this episode of Behind the Biology, Dr. Carolina Lucchesi explores microphysiological systems (MPS)—advanced bioengineering devices designed to mimic key organ or tissue functions in a more physiologically relevant way than traditional 2D culture, while offering a more human-relevant alternative than many animal models in specific contexts. Dr Lucchesi digs into what it takes to build and run MPS in practice: choosing materials (and understanding tradeoffs like small molecule absorption), selecting the right cell source (primary cells, organoids, iPSC derived cells, or cell lines), accounting for organ specific mechanical forces (like shear stress), and managing biological complexity across multiple cell types, media, and timelines. The episode closes with how cross industry collaboration and protocol harmonization can improve reproducibility and make data more comparable across platforms.
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