The molpigs Podcast

molpigs

Welcome to molpigs, the Molecular Programming Interest Group! molpigs is a group aimed at PhD students and early career researchers within the fields of Molecular Programming, DNA Computing, and other related specialties. We run most of our events in the form of podcasts, which you can find right here!

  1. 16/07/2025

    Molecular Programming Decadal Flightplan: Panel on collaboration, part 1

    Our sister organization, the Molecular Programming Society, is organizing a "Decadal Flightplan Initiative", gathering researchers from across molecular programming in Seattle next week to sketch out what the next 10 years of the field could look like. They'll be thinking about what types of research should be done, what technology we need to develop, and also how we should work together as a community. Since not everybody can join in Seattle, they asked if we could convene an international panel to talk about how the field can work together and communicate across borders. Turns out it's not even possible to get everybody together in one call (thanks timezones), so we are trying something different: recording two panel discussions, and releasing them as podcasts so everybody has a chance to hear the discussion. The first panel is out now on all major podcast feeds, with the second coming in the next few days. A little something for all of you heading to Seattle to listen to on the plane! Today's panel members:* Emily Tsang (PhD candidate, Aarhus University)* Quentin Laurent (Postdoc, University Grenoble-Alpes)* Ibuki Kawamata (Associate Professor, Kyoto University)* Masahiro Takinoue (Professor, Institute of Science-Tokyo) https://molecularprogrammers.org/https://www.mpflightplan.com/ ---Find more information at the episode page here:https://podcast.molpi.gs/media/flightplan-ca12e2221f7e8f36/

    1h 6m
  2. 13/09/2024

    molpigs Team: 4 years in the sty

    On this episode of the molpigs Podcast we introduce the new members of the molpigs team and re-introduce the long-term hosts, Boya Wang and Erik Poppleton. Hannah and Georgeos have stepped down from the podcast team, though Hannah continues to support us from behind the scenes. Joining us today are our two new members, Spencer Winter and Anuhya Edupuganti. On this episode we interview each other about why we're here, our strengths, our dreams, and why you should host boardgame nights at DNA conferences. A couple of factual errata:When Erik is talking about annealing ramps for DNA origami crystal assemblies, he says that they use a zigzag temperature around the nucleation temperature. In fact, they just ran extremely slow annealing ramps around the nucleation temperature (see the SI of the paper linked below)The word for the plant cellular structure that Erik can't remember is plasmodesmata, not desmosome. Links to the papers discussed in this episode:Anuhya's favorite paper: Isothermal self-assembly of multicomponent and evolutive DNA nanostructures by Rossi-Gendron et. al. (2023) https://www.nature.com/articles/s41565-023-01468-2Spencer's favorite paper: A deoxyribozyme-based molecular automaton by Stojanovic & Stefanovic (2003) https://www.nature.com/articles/nbt862Boya's favorite paper: Scaling Up Digital Circuit Computation with DNA Strand Displacement Cascades by Qian & Winfree (2011) https://www.science.org/doi/10.1126/science.1200520Erik's favorite paper: Binding to nanopatterned antigens is dominated by the spatial tolerance of antibodies by Shaw et. al. (2019) https://www.nature.com/articles/s41565-018-0336-3 Erik also mentioned a series of other papers which use similar ideas in nanopatterning to study biological systems:https://academic.oup.com/nar/article/48/10/5777/5827196https://pubs.acs.org/doi/full/10.1021/acsnano.0c10104https://www.nature.com/articles/s41565-020-0719-0https://www.biorxiv.org/content/10.1101/2023.12.29.573647v1https://www.biorxiv.org/content/10.1101/2022.06.08.495340v3 The papers on crystal assembly:https://www.science.org/doi/full/10.1126/science.adl5549https://www.science.org/doi/10.1126/science.adl2733 (edited) ---Find more information at the episode page here:https://podcast.molpi.gs/media/team2-aa6644d339dcddb0/

    57 min
  3. 04/07/2023

    Zibo Chen: What's really cool is when it's functional and predictable

    In this episode of the molpigs podcast, Hannah, Boya and Erik talk with Zibo Chen, a new professor at Westlake University about his scientific journey through the world of biological information system design. We discuss how he went from designing DNA, to proteins, to entire cellular systems. Designing with different materials requires different design and modeling methods. We also take a look to the future and how he plans to take protein-based neural networks from living cells to synthetic cells. Further Reading:"A cargo sorting DNA robot" - https://www.science.org/doi/full/10.1126/science.aan6558?rss=1="Programmable design of orthogonal protein heterodimers" - https://www.nature.com/articles/s41586-018-0802-y"Confirmation of intersubunit connectivity and topology of designed protein complexes by native MS" - https://www.pnas.org/doi/full/10.1073/pnas.1713646115"A synthetic protein-level neural network in mammalian cells" - https://www.biorxiv.org/content/10.1101/2022.07.10.499405v1.abstract"De novo design of modular and tunable protein biosensors" - https://www.nature.com/articles/s41586-021-03258-z --- Zibo Chen is an assistant professor in the School of Life Sciences at Westlake University. He received his Ph.D. degree in biochemistry in the labs of David Baker and Frank DiMaio at the University of Washington and worked on mammalian synthetic biology with Michael Elowitz at Caltech as a Damon Runyon Fellow. His work focuses on programming biology using proteins as the coding language. He has received a number of awards, including the Robert Dirks Molecular Programming Prize, and was included in Forbes 30 Under 30. Outside of the lab, Zibo is an instrument rated pilot and enjoys flying around in a small Cessna. ---Find more information at the episode page here:https://podcast.molpi.gs/media/chen-z-b52941b1a263e1a2/

    46 min
  4. 05/06/2023

    Ashwin Gopinath: Merging top-down and bottom-up synthesis

    On this episode, the molpigs team talks with Ashwin Gopinath about bridging size scales in nanomaterial size scales. We explore his journey from optical physics to learning DNA nanotechnology in the Rothemund lab and his current projects and vision for highly multiplexed molecular measurements. Ashwin's career path has been quite the adventure, starting in academia, working for Google and then starting and later selling his own company. Finally, we turn to ways that AI is going to change research and the impending death of the current grant-funding structure. His excitement for scientific progress, perspective on different work environments and creativity in research is always inspiring for scientists young and old. The paper Ashwin mentions on developing new AI capabilities can be found here: https://arxiv.org/abs/2303.11366 --- Ashwin received his PhD in Electrical Engineering from Boston University, working on devices for detecting and characterizing single biomolecules. Challenges he encountered during this motivated him to switch focus from optical physics to DNA nanotechnology, leading to a postdoc under Paul Rothemund at Caltech. After working briefly for Google X, he is now an Assistant Professor at MIT. He has received the Robert Dirks Molecular Programming Prize for his work combining DNA nanotechnology with conventional micro-fabrication. ---Find more information at the episode page here:https://podcast.molpi.gs/media/gopinath-a-e8cafaf0680033a7/

    47 min

About

Welcome to molpigs, the Molecular Programming Interest Group! molpigs is a group aimed at PhD students and early career researchers within the fields of Molecular Programming, DNA Computing, and other related specialties. We run most of our events in the form of podcasts, which you can find right here!