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632nm
Misha Shalaginov, Michael Dubrovsky, Xinghui Yin
Veröffentlicht: 2025-06-24
© 2025 Misha Shalaginov, Michael Dubrovsky, Xinghui Yin
Gratis
Neu
27 Folgen
Audio
Gratis
Neu
27 Folgen
Audio
Veröffentlicht: 2025-06-24
© 2025 Misha Shalaginov, Michael Dubrovsky, Xinghui Yin
-42
Nr.
156
in
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Aktuelle Folge
Science Memes, Epigenetic Inheritance, and Rethinking Peer Review
In this episode of the 632nm podcast, we explore cutting-edge ideas in epigenetics and academic publishing. Oded Rechavi reveals how C. elegans worms defy conventional genetics by passing on traits through small RNAs, and discusses how these mechanisms
Länge: 1:33:09
Abspielen
In this episode of the 632nm podcast, we explore cutting-edge ideas in epigenetics and academic publishing. Oded Rechavi reveals how C. elegans worms defy conventional genetics by passing on traits through small RNAs, and discusses how these mechanisms might reshape our understanding of heredity. We also hear about a remarkable experiment hijacking Toxoplasma gondii—the so-called “cat parasite”—to deliver proteins into the brain, opening possible routes for new therapies.
Beyond the lab, we explore problems with modern publishing, from glacial review timelines to flawed incentives that push quantity over quality. Learn how AI-driven solutions might speed up peer review, allow scientists to focus on what truly matters, and help keep the spark of curiosity alive.
02:33 The Journey of Memeing on Twitter 06:50 Frustrations with Scientific Publishing 13:36 AI in Scientific Reviews 23:57 The Joys and Challenges of Academia 28:25 The Dead Sea Scrolls Project 45:15 Exploring Epigenetic Processes 47:16 Advantages of C. Elegans in Research 51:45 Transgenerational Epigenetic Inheritance 57:07 Challenges in Human Epigenetic Research 01:08:58 Model Organisms in Scientific Research 01:14:50 Innovative Brain Parasite Research 01:22:11 The State of Academic Science 01:29:19 Balancing Science and Life in Israel 01:32:00 Improving the Scientific System
Follow us:
Twitter: https://x.com/632nmPodcast
Substack: https://632nmpodcast.substack.com/
Michael Dubrovsky: https://x.com/MikeDubrovsky
Misha Shalaginov: https://x.com/MYShalaginov
Xinghui Yin: https://x.com/XinghuiYin
Subscribe:
Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269
Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR
Website: https://www.632nm.com
Folgen-ID:
1000714392916
GUID: a3269c55-ec1a-496c-b3a4-363de1757037
Erscheinungsdatum: 24.6.2025, 21:00:00
Beschreibung
Technical interviews with the greatest scientists in the world.
Feed-URL
https://feeds.transistor.fm/632nm
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