GENEration Hope
Welcome — I’m Ron Kleiman, and this is GENEration Hope.In this episode, I’m joined by Dr. Guoping Feng, Professor of Neuroscience at MIT, affiliated with the McGovern Institute, the Yang Tan Collective, and the Broad Institute. We talk about: • Why he left medicine to pursue research that could lead to treatments for kids  • The urgency of moving faster — because “kids are growing up every day”  • Gene therapy delivery, the blood–brain barrier, and what’s changing with new vectors  • How AI and machine learning are speeding up vector design and behavioral testing  • The miniSHANK3 approach: why the full SHANK3 gene is too large, how a mini gene is designed, and how it’s delivered  • Where genome editing (base editing / prime editing) may fit in the future If conversations like this help, please subscribe, like, and share — it’s the best way to support GENEration Hope. This content is for informational purposes only and is not medical advice.Chapters00:00 Cold open: the urgency + “that’s our hope” 01:07 Intro: state of genetic medicine (April 2026) + guest setup 04:29 Who Guoping is (MIT / Yang Tan Collective) + mission 04:54 Hangzhou med school → why he shifted to research 06:12 From fruit flies to mouse models (Drosophila → mammals) 06:40 PhD at SUNY Buffalo + moving into mouse genetics 07:20 Postdoc at WashU + “benefit patients” as the goal 07:52 Conditions his lab targets: PMS, Rett, SYNGAP1, Dravet 09:23 Can AI speed discovery? What actually moves things faster 10:15 Donors + centers at MIT + enabling translation to clinic 11:26 “Kids are growing up every day” + the role of young scientists 15:20 Why primate studies matter + safety confidence 16:25 Ben Deverman vectors + BBB is species-specific 17:39 ICV vs IV delivery + combining gene therapy with better capsids 20:14 AI protein design + ML behavior tracking + trial design 22:25 Lisa Yang’s story + SHANK3 connection 25:01 Why rare monogenic disorders need resources + “technical problem” 28:50 What a treatable world could look like for families 31:36 Brain plasticity + what changes might look like over time 32:46 Why foundations matter + speeding recruitment and development 36:20 Mini gene + safer genome editing (base editing) 40:30 Timeline: getting things into clinic (optimism + under 5 years) 41:53 Jaguar license: miniSHANK3 and why SHANK3 is too big 42:25 How they chose what to keep/remove in miniSHANK3 44:48 Why not split into two vectors? the delivery problem 46:33 Base editing limits + prime editing + Prime Medicine 48:54 Who owns IP at MIT/Broad + licensing basics 50:29 Explain it simply: what vectors are + how AAV9/ICV works 53:04 CSF basics + neuron counts + how much coverage is needed 55:26 Distribution challenges + future vectors + re-dosing & antibodies 58:13 Wrap-up + thanks + outro 
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