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Peter Attia MDPeter Attia MD

323 - CRISPR and the future of gene editing: scientific advances, genetic therapies, & more

View show notes here: https://bit.ly/3BVio8U Become a member to receive exclusive content: https://peterattiamd.com/subscribe/ Sign up to receive Peter's email newsletter: https://peterattiamd.com/newsletter/ Feng Zhang, a professor of neuroscience at MIT and a pioneering figure in gene editing, joins Peter to discuss his groundbreaking work in CRISPR technology, as well as his early contributions to optogenetics. In this episode, they explore the origins of CRISPR and the revolutionary advancements that have transformed the field of gene editing. Feng delves into the practical applications of CRISPR for treating genetic diseases, the importance of delivery methods, and the current successes and challenges in targeting cells specific tissues such as those in the liver and eye. He also covers the ethical implications of gene editing, including the debate around germline modification, as well as reflections on Feng’s personal journey, the impact of mentorship, and the future potential of genetic medicine. We discuss: 0:00:00 - Intro 0:01:32 - Feng’s background, experience in developing optogenetics, and his shift toward improving gene-editing technologies 0:10:05 - The discovery of CRISPR in bacterial DNA and the realization that these sequences could be harnessed for gene editing 0:21:48 - How the CRISPR system fights off viral infections and the role of the Cas9 enzyme and PAM sequence 0:29:48 - The limitations of earlier gene-editing technologies prior to CRISPR 0:39:08 - How CRISPR revolutionized the field of gene editing, potential applications, and ongoing challenges 0:51:59 - CRISPR’s potential in treating genetic diseases and the challenges of effective delivery 0:57:55 - How CRISPR is used to treat sickle cell anemia 1:05:51 - Gene editing with base editing, the role of AI in protein engineering, and challenges of delivery to the right cells 1:13:10 - How CRISPR is advancing scientific research by fast-tracking the development of transgenic mice 1:17:43 - Advantages of Cas13’s ability to direct CRISPR to cleave RNA and the advances and remaining challenges of delivery 1:27:55 - CRISPR-Cas9: therapeutic applications in the liver and the eye 1:40:15 - The ethical implications of gene editing, the debate around germline modification, regulation, and more 1:52:45 - Genetic engineering to enhance human traits: challenges, trade-offs, and ethical concerns 1:58:25 - Feng’s early life, the influence of the American education system, and the critical role teachers played in shaping his desire to explore gene-editing technology 2:13:15 - Feng’s optimism about the trajectory of science -------- About: The Peter Attia Drive is a deep-dive podcast focusing on maximizing longevity, and all that goes into that from physical to cognitive to emotional health. With over 90 million episodes downloaded, it features topics including exercise, nutritional biochemistry, cardiovascular disease, Alzheimer’s disease, cancer, mental health, and much more. Peter Attia is the founder of Early Medical, a medical practice that applies the principles of Medicine 3.0 to patients with the goal of lengthening their lifespan and simultaneously improving their healthspan. Learn more: https://peterattiamd.com Connect with Peter on: Facebook: http://bit.ly/PeterAttiaMDFB Twitter: http://bit.ly/PeterAttiaMDTW Instagram: http://bit.ly/PeterAttiaMDIG Subscribe to The Drive: Apple Podcast: http://bit.ly/TheDriveApplePodcasts Overcast: http://bit.ly/TheDriveOvercast Spotify: http://bit.ly/TheDriveSpotify Google Podcasts: http://bit.ly/TheDriveGoogle Disclaimer: This podcast is for general informational purposes only and does not constitute the practice of medicine, nursing, or other professional healthcare services, including the giving of medical advice. No doctor-patient relationship is formed. The use of this information and the materials linked to this podcast is at the user's own risk. The content on this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they have, and they should seek the assistance of their healthcare professionals for any such conditions. I take conflicts of interest very seriously. For all of my disclosures and the companies I invest in or advise, please visit my website where I keep an up-to-date and active list of such companies. For a full list of our registered and unregistered trademarks, trade names, and service marks, please review our Terms of Use: https://peterattiamd.com/terms-of-use/

Feng ZhangguestPeter Attiahost
Oct 28, 20242h 18mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:00 – 1:32

    Intro

    1. FZ

      The Human Genome Project was completed in early 2000s, and with the human genome having been sequenced, and then also with DNA sequencing technology becoming cheaper and faster, um, scientists were able to start to sequence many, many more genomes. And so they can start to make comparisons between healthy individuals and also people who are affected by specific diseases to see what's different between their genomes. And by doing that comparison, they can identify the differences that may be causal for disease. And so, you know, to date, um, based on genetic analysis, researchers have probably identified more than five thousand, uh, genetic mutations that have a direct causative role in disease. And so these are called genetic diseases. They are usually, um, you know, affecting a small population of individuals. They're not, they're not as common as things like cancer or diabetes or, or these, um, what people call com-complex or, or complicated diseases. But, but nevertheless, um, these are the ones where we know the exact genetic, uh, cause. And so the tantalizing idea is then if you know the mutation in the genome, why not just go and fix it? And so that's where gene editing comes in.

    2. PA

      [upbeat music] Hey, everyone. Welcome to "The Drive" podcast. I'm your host, Peter Attia.

  2. 1:32 – 10:05

    Feng’s background, experience in developing optogenetics, and his shift toward improving gene-editing technologies

    1. PA

      Hey, Feng. Thank you so much for detouring your, your trip and coming through Austin. I've been really looking forward to sitting down with you for, uh, uh, frankly, about a year. Um, so this is a topic that I don't think there's anybody who's heard this podcast who hasn't heard the term CRISPR. Um, but I think very few people can actually explain it, uh, and explain what a powerful tool it is. But I do think that before we get there, it would be really helpful to kind of understand a little bit more about your journey-

    2. FZ

      Mm-hmm

    3. PA

      ... on one hand, and then the journey of gene editing kind of as a, as a parallel. Uh, but let, let's start with, with, with yours. Um, you and I overlapped a little bit because, I mean-

    4. FZ

      Mm-hmm

    5. PA

      ... not temporally, but you were at Stanford, and you, uh, were you a postdoc in Karl Deisseroth's lab?

    6. FZ

      Well, first of all, thank you for having me be on this posca- podcast. I've listened to your podcast, uh, on and off, uh, especially when I'm, um, you know, running around or, or exercising, and it's always I learn a lot from listening to the podcast.

    7. PA

      Oh, awesome.

    8. FZ

      Uh, thank you for having me here. Um, so back to Stanford, um, I was there as a graduate student. Uh, I was in the lab-

    9. PA

      Okay

    10. FZ

      ... of a researcher, uh, named Karl Deisseroth, and, uh, I was there for five years.

    11. PA

      That's right. You did your PhD there with Karl. Okay. Now, as you know, Karl ha- was, and I were classmates. Karl's been on this podcast. Um, and so maybe folks who either didn't listen to that podcast or who did but have forgotten, uh, give us a, a kind of a quick, uh, summary of the type of work that you and Karl did.

    12. FZ

      When I was working with Karl Deisseroth, uh, we developed a technology called optogenetics, and it's a way of studying, uh, brain cells in, in the brain, um, how they are connected together and how they mediate, uh, memory, mediate different types of physiological function. The way it works is that we took a gene, uh, from a green algae, and this is a gene that senses light and converts it into, uh, electrical current, uh, in a cell. So we can put this gene from the green algae right into the brain cells in a mouse, and we can shine blue light or a yellow light, uh, and control the brain activity, uh, in these mice. So for example, if you wanted to study, uh, sleep, you can put this gene into different groups of cells in the brain and stimulate them, and you can find out which ones of these are controlling wakefulness or which one are causing the mouse to become more sleepy. Uh, so if you do this systematically one by one from one type of cell to another type of cell, you can gradually start to put together a picture of how the brain is wired together and then also what are the different components that govern all sorts of behaviors, uh, from, you know, sleep and, and wakefulness to thirst and hunger to memory and even to motivation and happiness. Um, so it was really fun to be at Stanford and working with Karl.

    13. PA

      Yeah, and, and to me, the thing that always stood out about the technique was just the resolution, right?

    14. FZ

      Mm-hmm.

    15. PA

      It was, you know, I don't know what a great analogy would be, but it was sort of, y-you know-

    16. FZ

      Mm-hmm

    17. PA

      ... resolution at the level [clears throat] of the word rather than the page-

    18. FZ

      Mm-hmm

    19. PA

      ... if you were thinking about a book, for example.

    20. FZ

      Right. Uh, what is incredible about these, um, algal proteins is that they are very, very fast. So you can control, uh, the way the s- the brain cells are able to signal to each other at the action potential level.

    21. PA

      Hmm.

    22. FZ

      So action potentials are these individual signals that they're basically like the, the phonemes, uh, of, of the speech that one neuron speaks with another neuron, and, uh, and you can control it at, at every single phoneme level, and, and that is, um, pretty cool.

    23. PA

      And since we're gonna be talking a lot about gene editing, what was the technique that you guys used to insert those algal genes into the brains?

    24. FZ

      The way that you would put a gene, uh, into the brain, uh, is usually by using a virus. Um, so this is, uh, a virus that, that exists in nature, but we have engineered it by removing everything that is pathogenic about the virus and then replacing those pathogenic genes with the gene that we're trying to put into the brain. So in this case, it's the gene from the green algae. And by injecting the virus into a brain area that you want to study, uh, the virus will infect all the cells in that region and then make those cells begin to produce this algal protein. So once, once the neuron starts to carry this algal protein, it becomes light sensitive. So you can Turn blue light on it and then be able to stimulate it

    25. PA

      Yeah. Amazing. Um, what year did you finish your PhD?

    26. FZ

      In 2009.

    27. PA

      Okay. And then you went to MIT, or you went to Broad?

    28. FZ

      Um, then, then I went to Harvard.

    29. PA

      Okay.

    30. FZ

      I was there for about a year.

  3. 10:05 – 21:48

    The discovery of CRISPR in bacterial DNA and the realization that these sequences could be harnessed for gene editing

    1. PA

      So let's keep that story on the side for a moment-

    2. FZ

      Mm-hmm

    3. PA

      ... and let's tell in parallel another story, a story that started long before-

    4. FZ

      Mm-hmm

    5. PA

      ... um, you were even in college, right?

    6. FZ

      Mm-hmm.

    7. PA

      When you were, when you were a young kid.

    8. FZ

      Absolutely. Right.

    9. PA

      Um, and it stems from an observation-

    10. FZ

      Mm-hmm

    11. PA

      ... um, that grew out of a discovery in sequences that existed in bacterial DNA.

    12. FZ

      Mm-hmm.

    13. PA

      A certain type of repeating structure that had all these-

    14. FZ

      Mm-hmm

    15. PA

      ... interesting characteristics.

    16. FZ

      Mm-hmm.

    17. PA

      Um, so let's go back to the '80s and tell a little bit of that story and it's o- obviously I wouldn't be going through this if it wasn't gonna q-

    18. FZ

      Sure. [laughs]

    19. PA

      ... quickly converge with your life, uh-

    20. FZ

      Sure

    21. PA

      ... and change the direction of your life. But let's go back to the '80s.

    22. FZ

      Sure. Um, I was born in the '80s.

    23. PA

      Yep.

    24. FZ

      Um, but, um, what was really, uh, interesting that you're pointing out is that back in the '80s, uh, there was a group of Japanese researchers who were just looking at DNA sequences of bacteria, and they were looking at, um, E. coli. And what they found is that within some of the genomes, the DNA sequences of these bacteria, there are these regions that are very repetitive, so just repeat over and over and over again. Normally, um, genome sequences are not repetitive, um, because they encode genes and different genes. Uh, but here you, they found that there are these repeat sequences that are, um, that are all grouped together, so they're clustered, and they are not tandem repeats, so it's not repeat one next to each other, but they're interspaced by a short fixed length gap. And so it's basically A, B, A, C, A, D, A, E, A, G. Um, and so it just continues to, uh, repeat itself, but in this regularly spaced pattern. And when they first found it, they had no idea what it was, what the sequence was all about.

    25. PA

      And there's something else about those repeating segments that was quite interesting as well, right?

    26. FZ

      Mm-hmm.

    27. PA

      Which is in each direction, whichever way you read them, they were the same.

    28. FZ

      Right. So they're called palindromes. Um, D- no, DNA is double-stranded, so there's a top strand and there's a double strand, uh, uh, there's a bottom strand. And so this is why, uh, they're, they, they look like a double helix, so they twist and, and turn. And, uh, what is interesting is that when they-- when you read these repeat sequences from the top and you read in the reverse way on the bottom, uh, they're almost the same. Uh, so, so they're a palindrome.

    29. PA

      So you had these palindromic clustered repeats-

    30. FZ

      Mm-hmm

  4. 21:48 – 29:48

    How the CRISPR system fights off viral infections and the role of the Cas9 enzyme and PAM sequence

    1. PA

      Um, let's walk through two scenarios.

    2. FZ

      Mm-hmm.

    3. PA

      First infection, reinfection, and explain the difference between how the bacteria defends itself with special-

    4. FZ

      Sure

    5. PA

      ... attention to the use of the CRISPR system and the Cas9 enzyme.

    6. FZ

      Sure. So, so first of all-

    7. PA

      First infection now, out of the gate. You're-

    8. FZ

      Right

    9. PA

      ... you're an E. coli. I'm a bacteriophage.

    10. FZ

      Right.

    11. PA

      You've never seen me before. I come along. I've in- I've just injected my viral DNA into you.

    12. FZ

      Right. So, so CRISPR is an adaptive immune system, so it means this system can evolve with the bacteria to be able to a- accommodate many, many virus infections.

    13. PA

      Yep.

    14. FZ

      So, so when the virus, uh, which is called a bacteriophage, first infects the bacteria, it will inject its genetic information into the bacteria. The virus is usually very powerful, uh, and very potent. It will probably wipe out most of the bacterial population. But for a very small number of cells, maybe one out of a million, um, the CRISPR system will successfully recognize a piece of the DNA of that virus and begin to insert it into this repeat area, uh, in, in the CRISPR, um, system.

    15. PA

      And how long a piece is that typically? How many nucleotides in that piece?

    16. FZ

      It's usually 30 letters long.

    17. PA

      Okay.

    18. FZ

      And that is enough, uh, for the bacteria to uniquely recognize the virus. So, so anyway, so during the first infection, um, you know, most bacteria die. Very, very small number of them begin to acquire a snippet of the genetic information of this virus, and it inserts it into the CRISPR system. So those bacteria that survived have now acquired immunity against these viruses.

    19. PA

      And in the process of surviving, what do they have to rapidly do to fend off that first viral infection?

    20. FZ

      Well, so the bacteria has many different defense systems in addition to CRISPR. So in fact, uh, CRISPR is not the first line of defense. There are other things that are also very powerful, uh, technologies now that are called restriction endonucleases. These are proteins or enzymes that bacteria use. Uh, they don't adapt, so they don't evolve-

    21. PA

      Yep

    22. FZ

      ... but they recognize fixed letter sequences, and sometimes these will get But these will always get activated first and, and try to fend off the virus. But if it doesn't, then there are a host of other, uh, defense systems, and, uh, one of these will eventually work. But unfortunately for the bacterial population, um, these things don't come in quick enough, and that's why most of the cells die. But the few where these things were able to keep up with the virus, that's what allows the CRISPR systems to begin to acquire, uh, the genetic information.

    23. PA

      So now let's talk about that subsequent infection.

    24. FZ

      Mm-hmm.

    25. PA

      So we've obviously, through a very Darwinian mechanism, selected a subset of the E. coli in this case that indeed-

    26. FZ

      Mm-hmm

    27. PA

      ... are able to not just survive with their first and second line defense-

    28. FZ

      Right

    29. PA

      ... against the bacteriophage, but now they've also developed the memory, so to speak, the way we would use the term.

    30. FZ

      Right, right.

  5. 29:48 – 39:08

    The limitations of earlier gene-editing technologies prior to CRISPR

    1. PA

      So Feng, does this bring us more or less up to speed with the state of the art when you turned your attention to how-

    2. FZ

      Mm-hmm

    3. PA

      ... can I create a finer resolution-

    4. FZ

      Mm-hmm

    5. PA

      ... for gene editing for my optogenetics problem? Is this about where the state of the art was?

    6. FZ

      Yeah. So, um, I started to, uh, work at MIT and the Broad Institute, uh, in 2011. And so when I first started, um, I went to a, a scientific, uh, presentation and they were talking about CRISPR. Uh, and they mentioned that, uh, CRISPRs are nucleases. Uh, because I was thinking about nucleases and gene editing at the time, when I heard that word, it just kind of, um, got me a- uh, interested. And so I went on to, uh, Wikipedia and looked at what CRISPR is, and, and Francis Mojica and Sylvain Moineau and Rodolphe Barrangou, they had just published the very early, uh, studies on the Cas9 system. Back then it was still called Cas5. Uh, it was only later on renamed to be Cas9. But, but there was all these papers that if you read them, there aren't too many of them, you can piece together the information and you can get a sense that this is a RNA-guided DNA targeting cleaving enzyme. And, uh, and at the time there were other, uh, gene editing systems that were being worked on by researchers in the field, something called zinc finger nuclease or, or TALEN. Uh, and, and these are systems that use proteins to recognize DNA, but not using RNA to recognize DNA.

    7. PA

      So maybe let's talk a little bit about both of those because they were the state-of-the-art-

    8. FZ

      Mm-hmm

    9. PA

      ... up until fifteen years ago.

    10. FZ

      Mm-hmm.

    11. PA

      And, um, I wanna understand both how they work and why they may not have been sufficient for your application. In other words, why, why were you looking for something beyond two techniques that already existed?

    12. FZ

      Sure. So when I first became interested in gene editing, um, i- in the, you know, uh, sort of late 2000s, um, there were people already developing gene editing technologies. In fact, um, there were multiple iterations of technologies that, that came around. Uh, there's something called meganuclease, which was very, very early. And then, uh, what got me excited was a New York Times article, I think it was two thousand and eight or two thousand and nine. Uh, it talked about, um, a system called zinc finger nuclease. Uh, there's a company, uh, in, in, uh, uh, California, um, that's called, uh, Sangamo Biosciences, and they were already developing zinc finger nucleases for gene therapy to be able to go and edit DNA and treat disease. But zinc finger was a really, uh, challenging system for scientists to adapt and use because it required very sophisticated protein engineering. Um, the way it works is that, um, zinc fingers are, are protein domains that are just one glob of protein. Each finger, each zinc finger can recognize three letters of DNA, and they occur in nature, uh, so you can find them in naturally occurring DNA, uh, binding proteins called transcription factors. And they allow transcription factors to go and recognize different genes in the genome to modulate their activity, either turn them on or turn them off or change how much they are expressed in the cell.

    13. PA

      But how do you get specificity when you are only recognizing three nucleotides? The probability of three-- those three-

    14. FZ

      Right

    15. PA

      ... nucleotides showing up seems pretty likely across the genome, right?

    16. FZ

      Right. Exactly. So, so nature has solved this problem by forming zinc finger arrays. So they tether multiple fingers together-

    17. PA

      Ah

    18. FZ

      ... to form-

    19. PA

      And all of them have to hit their target of three nucleotides.

    20. FZ

      Correct. That's right. So if you have an array of three fingers, it recognizes nine letters. If you have array of six fingers, then that's eighteen letters.

    21. PA

      Yeah.

    22. FZ

      So in a complicated genome like our genome with three billion letters, eighteen would give us uniqueness. So eighteen can allow you to find or, or define just a single position.

    23. PA

      And that's because four to the power of eighteen-

    24. FZ

      Mm-hmm

    25. PA

      ... is a big enough number?

    26. FZ

      It's bigger than three billion.

    27. PA

      Yeah. Okay. So, um, let's now talk about the TALENs. Why-- Well, first of all, what is that technique, and why was that not necessarily going to serve your purpose?

    28. FZ

      Right. So, so the challenge with zinc finger is that you have to engineer the fingers to recognize different combinations of three letters, and you have to make sure that when you tether them together to make a zinc finger array, they can recognize what you intend to recognize in that multiple three fashion. That turned out to be really cum-cumbersome, and usually it doesn't work very well. So then, um, this other system that you mentioned called transcription activator-like effector, TALE, uh, nuclease were developed. Uh, so these systems came also from bacteria. Um, they came from, uh, a s-specific pathogenic bacteria called Xanthomonas oryzae. So it lives on rice plants and is a major rice pathogen. The way these proteins work is that they're injected by the bacteria that's trying to colonize the plant into the plant cell. And once it gets inside, it homes into the genome of the plant cell, finds a gene, and then starts to turn it on. When it turns it on, it allows the bacteria to-- uh, it allows the plant to become more susceptible to the bacterial colonization.

    29. PA

      Hmm.

    30. FZ

      And so allows the bacteria to be able to more successfully, uh, survive on, on this host, uh, plant. So it's a, it's a, it's a major pathogenic system. But what is really cool about TALENs or TALES is that they recognize DNA in a, in a sort of a very programmable fashion. These proteins, they have repeat domains, just like zinc fingers, that form an array, but individual domains recognize single DNA letters. And so you can find these TALE proteins-

  6. 39:08 – 51:59

    How CRISPR revolutionized the field of gene editing, potential applications, and ongoing challenges

    1. PA

      So it's very interesting. I mean, I think it's worth just sort of taking a step back, right? I mean, if-

    2. FZ

      Mm-hmm

    3. PA

      ... if most people can sort of remember what they were thinking 10 years ago-

    4. FZ

      Mm-hmm

    5. PA

      ... you know, 12, 15 years ago, and-

    6. FZ

      Mm-hmm

    7. PA

      ... you know, look, the, the human genome was sequenced, uh, nearly 25 years ago.

    8. FZ

      Mm-hmm.

    9. PA

      And the promise of gene therapy-

    10. FZ

      Mm-hmm

    11. PA

      ... um, was sort of hailed as right around the corner.

    12. FZ

      Mm-hmm.

    13. PA

      And yet here we are, a decade, more than a decade after the sequencing of the human genome-

    14. FZ

      Right

    15. PA

      ... and it doesn't appear that gene therapy through gene editing was-

    16. FZ

      Mm-hmm

    17. PA

      ... any closer than it really was from a practical standpoint-

    18. FZ

      Mm-hmm

    19. PA

      ... a decade earlier.

    20. FZ

      Mm-hmm.

    21. PA

      I think that's a bit of a disconnect for people. I think most people who necessarily aren't in a lab would be-

    22. FZ

      Mm-hmm

    23. PA

      ... surprised to understand that simply knowing what the sequence of genes are, I mean-

    24. FZ

      Mm-hmm

    25. PA

      ... A, we've talked about this a lot in the podcast.

    26. FZ

      Mm-hmm.

    27. PA

      We still have no idea what most of these genes do anyway.

    28. FZ

      Mm-hmm. Right.

    29. PA

      Uh, we have no idea why there are coding segments, and the majority of the DNA is non-coding segments.

    30. FZ

      Mm-hmm.

  7. 51:59 – 57:55

    CRISPR’s potential in treating genetic diseases and the challenges of effective delivery

    1. PA

      what diseases are currently amenable to that type of gene therapy? And we'll put aside the regulatory stuff, which we can talk about.

    2. FZ

      Mm-hmm.

    3. PA

      But if we were dealing, if we pretended that humans were laboratory animals-

    4. FZ

      Right

    5. PA

      ... um, where we could do an experiment and actually do this, what, what are some of the diseases that we could directly-

    6. FZ

      Mm-hmm

    7. PA

      ... affect in that manner?

    8. FZ

      So, um, so there are a lot of genetic diseases, uh, where there is a mutation that is pathogenic.

    9. PA

      Overexpression. Well, in this case, overexpression if you want to deactivate it, but-

    10. FZ

      Right

    11. PA

      ... some would be underexpressed, of course.

    12. FZ

      Yeah. So, so these are genes that are usually important for the body, um, but there's a mutation in it, um, and, uh, and that makes the, the resulting protein, uh, the mutant protein, um, deleterious for, for, for the patient. And so, so if you can inactivate these genes, uh, then, then you can, you can treat disease. So for example, there are diseases of the liver where there are certain proteins that cause, uh, amyloidosis, um, and, and that can lead to, uh, serious problems. And so by using CRISPR, you can go in and cleave these genes, inactivate them so that they no longer produce these toxic gene product. Uh, Huntington is another example, uh, where there are mutations that are occurring in the gene that makes the, the gene deleterious and, um, and so if you can go and try to inactivate these deleterious mutations, it may be possible to, to treat the disease.

    13. PA

      Is it generally the case that autosomal dominant diseases are an overexpression problem or an expression of something harmful problem, whereas-

    14. FZ

      Mm-hmm

    15. PA

      ... recessive diseases-

    16. FZ

      Mm-hmm

    17. PA

      ... are, uh, the opposite, where you tend to not be producing enough or something of that nature? Is that a, is that a-

    18. FZ

      Yeah, I think that-

    19. PA

      ... overly simplistic, but-

    20. FZ

      I think that, yeah, I think that's a good, um, good explanation.

    21. PA

      So many people are probably familiar with Huntington's because it is one of the most devastating neurodegenerative diseases imaginable, perhaps second only to-

    22. FZ

      Mm-hmm

    23. PA

      ... Lou Gehrig's disease or ALS.

    24. FZ

      Mm-hmm.

    25. PA

      Um, but unlike ALS, where we don't really know the etiology, we clearly-

    26. FZ

      Mm-hmm

    27. PA

      ... know the etiology of Huntington's disease, which is-

    28. FZ

      Right

    29. PA

      ... a gene, right?

    30. FZ

      Right, right.

  8. 57:55 – 1:05:51

    How CRISPR is used to treat sickle cell anemia

    1. PA

      so-

    2. FZ

      Sure

    3. PA

      ... um, tell people what sickle cell anemia is and why it's amenable to this type of therapy.

    4. FZ

      Right. So sickle cell ane- anemia is caused by a mutation that causes the red blood cell to sickle, so they form a sickle form. And so they are, they're not able to, uh, sort of, um, you know, properly function, and sometimes they can aggregate, and then this can c- cause occlusion in the blood vessel and can cause serious problems. And, um, and so these red blood cells are made by, uh, progenitor or stem cells, uh, in the body, um, that produce these red blood cells. And so one idea for treating-

    5. PA

      And it's a simple mutation.

    6. FZ

      It's a simple, it's a single-

    7. PA

      It's a, it's a single point mutation-

    8. FZ

      Correct

    9. PA

      ... that changes one amino acid.

    10. FZ

      That's right.

    11. PA

      And that one amino acid based on one base pair change-

    12. FZ

      Yep

    13. PA

      ... I can't remember what it is. It's an-

    14. FZ

      Right

    15. PA

      ... alanine to a glycine or something. It's-

    16. FZ

      Right

    17. PA

      ... it's quite trivial-

    18. FZ

      Yeah

    19. PA

      ... um, is what leads to all of this bad, this downstream bad-

    20. FZ

      Exactly

    21. PA

      ... badness you talk about. Um, but now if you-- So current treatment for these patients is blood transfusions, right? I mean, it's a-

    22. FZ

      Mm-hmm

    23. PA

      ... it's a, it's an awful disease.

    24. FZ

      Yep.

    25. PA

      And these patients experience-

    26. FZ

      Very painful

    27. PA

      ... unbearable pain.

    28. FZ

      Right.

    29. PA

      Um, as an aside, some might ask, why does this disease exist? Why didn't Darwin get rid of this?

    30. FZ

      Mm-hmm.

  9. 1:05:51 – 1:13:10

    Gene editing with base editing, the role of AI in protein engineering, and challenges of delivery to the right cells

    1. FZ

      The latter is a harder problem, but there's also very good progress on that front.

    2. PA

      Okay.

    3. FZ

      Uh, so for example, David Liu, uh, developed a methodology-

    4. PA

      Also at Harvard.

    5. FZ

      Yeah, also.

    6. PA

      Yeah, yeah.

    7. FZ

      Yeah. Uh, he's a colleague of mine-

    8. PA

      Mm-hmm

    9. FZ

      ... and he developed a technology called base editing, and base editing allows you to use Cas9. You, you get rid of the DNA cleaving activity of Cas9. And so, so it simply goes in, binds to DNA. So you use it as kind of a guidance system to direct a different enzyme called a deaminase-

    10. PA

      Hmm

    11. FZ

      ... to be able to go in and chemically modify a single base.

    12. PA

      It's amazing to me, Feng, that that is easier-

    13. FZ

      Uh-huh

    14. PA

      ... than what we just wish we could do, which is Change that C to a G.

    15. FZ

      Mm-hmm.

    16. PA

      Take out the C, make it a G.

    17. FZ

      Mm-hmm.

    18. PA

      And that will give me the amino acid I want. Like the fact-

    19. FZ

      Right

    20. PA

      ... that we're chemically having to modify-

    21. FZ

      Yeah

    22. PA

      ... it with a deaminase.

    23. FZ

      Mm-hmm.

    24. PA

      Um.

    25. FZ

      Yeah.

    26. PA

      What do you think is necessary-

    27. FZ

      Uh-huh

    28. PA

      ... to take this next-- 'Cause we've already had, as you described it, a big step function-

    29. FZ

      Right

    30. PA

      ... from where we were 10 years ago.

  10. 1:13:10 – 1:17:43

    How CRISPR is advancing scientific research by fast-tracking the development of transgenic mice

    1. PA

      Let's go back to animal models for a moment.

    2. FZ

      Hmm.

    3. PA

      Um, you touched briefly on the idea of a transgenic mouse, and again, people who have listened to this podcast for years-

    4. FZ

      Mm-hmm

    5. PA

      ... are no stranger to the transgenic mouse.

    6. FZ

      Mm-hmm.

    7. PA

      So many amazing breakthroughs in science-

    8. FZ

      Mm-hmm

    9. PA

      ... have come through these, and, and frankly just through genetic understanding of, of mice, making changes to a mouse gene. You know, we recently had Denina Dubal on the podcast.

    10. FZ

      Oh.

    11. PA

      We talked about Klotho, to me-

    12. FZ

      Uh-huh

    13. PA

      ... one of the most interesting proteins out there.

    14. FZ

      Right.

    15. PA

      And of course, we learned the story of how Klotho came about, and it be- you know, silencing a gene found this thing, overexpress the gene, found this thing. Okay. How-

    16. FZ

      Mm-hmm

    17. PA

      ... does CRISPR enable that today? Has it changed the ability of people working on totally other problems to get there quicker using, uh, laboratory animals?

    18. FZ

      Right. So the transgenic mouse technology, uh, really revolutionized biology.

    19. PA

      Mm-hmm.

    20. FZ

      Um, um, and, and when the transgenic mouse technology was developed, um, the way it worked is that you would start with stem cells from mice. You would modify these stem cells, and then you put the stem cells back into a embryo, and then you transplant the embryo into a, a mouse so that the embryo can develop into a full, um, e- develop into fetus and then, then be born as a new mouse. That is a very long process, and then once the mouse is born, usually that mouse does not have 100% of that, uh, genetic-

    21. PA

      Mm-hmm

    22. FZ

      ... modification. So the mouse is called a mosaic, and then you have to take that mouse and breed the mouse again with a- another mouse in hoping that, um-

    23. PA

      That the mosaic part is the one that gets expressed and you-

    24. FZ

      Sh- gets transmitted

    25. PA

      ... yeah, you basically try to concentrate the mosaic portion of it.

    26. FZ

      Exactly.

    27. PA

      Yeah.

    28. FZ

      So when you use this methodology, um, it can take probably a year or maybe even longer, uh, to be able to generate a specific transgenic mouse. So it used to take a long time to do this, um, but, but now with CRISPR technology, uh, what people can do is they can directly inject the gene editing Cas9 and guide RNA into a embryo, into a single-cell embryo and then modify it there.

    29. PA

      Ah. So again, this is so brilliant because we can't do this in humans, of course.

    30. FZ

      Mm-hmm.

  11. 1:17:43 – 1:27:55

    Advantages of Cas13’s ability to direct CRISPR to cleave RNA and the advances and remaining challenges of delivery

    1. PA

      Now, we've talked a lot about Cas9, um, but you've also specifically done quite a lot with another protein, another-

    2. FZ

      Mm-hmm

    3. PA

      ... CRISPR-associated protein called Cas13.

    4. FZ

      Mm-hmm.

    5. PA

      What's the difference, and, uh, w- how does this potentially impact future work?

    6. FZ

      Sure. CRISPR is, uh, a bacterial immune system, and there are many, many different types of CRISPR. And so in nature, um, bacteria are invaded by DNA viruses, by RNA viruses, all sorts of different viruses. Cas9 protects bacteria against DNA viruses, but then there also needs to be a CRISPR system that protects against RNA viruses. So Cas13 is the, the RNA analog of Cas9. It uses a guide RNA to recognize the RNA virus and then cleave the RNA genome. And what is really interesting about Cas13 is that, um, unlike Cas9 It not only cleaves the recognized RNA, but once it recognizes a piece of RNA, it also turns on almost a suicidal function. It goes and cleaves any other RNA that's in the bacterial cell. And so in the infection cycle, uh, you can think of this as a altruistic, um, sort of a, a system where, um, when a, when, when the Cas13 recognizes, um, my, my s- my cell has been infected by RNA virus, I want to shut myself down, kill the cell, and save the population.

    7. PA

      So hang on. Why is that the case, um, if we-- So, so why does the cell not choose to do that with the DNA virus? Are RNA viruses necessarily more lethal to bacteria?

    8. FZ

      RNA is usually more abundant, and so usually there are many, many-- Once, once the RNA gets produced, there are many copies, and so it's difficult to, to shut down every single copy of RNA. Whereas with DNA, there's usually just one copy of DNA, so if you can shut it down-

    9. PA

      So when a DNA virus infects a bacteria-

    10. FZ

      Right

    11. PA

      ... so again, w- let's just talk about a very specific bacteriophage latches on the outside of an E. coli. It's gonna shoot in-

    12. FZ

      Mm-hmm

    13. PA

      ... a piece of DNA.

    14. FZ

      The DNA. Right.

    15. PA

      We've already talked at length about how that works-

    16. FZ

      Right

    17. PA

      ... and the role Cas9 plays in that.

    18. FZ

      Right.

    19. PA

      When a different bacteriophage comes along-

    20. FZ

      Mm-hmm

    21. PA

      ... you're saying it inserts a lot of RNA.

    22. FZ

      No. Um, so one of-

    23. PA

      Or just the RNA replicates much quicker.

    24. FZ

      RNA replicates quicker.

    25. PA

      Got it. Okay.

    26. FZ

      And-

    27. PA

      So it inserts a small amount of RNA.

    28. FZ

      Right.

    29. PA

      But remind me why a small amount of RNA will be amplified much quicker than a small amount of DNA. Is it because it's one step less? It's already made the-

    30. FZ

      Correct. For sure

  12. 1:27:55 – 1:40:15

    CRISPR-Cas9: therapeutic applications in the liver and the eye

    1. FZ

      capabilities that we want to realize.

    2. PA

      Okay.

    3. FZ

      For example, how do you insert large genes into the genome precisely and efficiently? Um, I think that is, is, you know, just as important of a problem. Um, Cas9, even though it's large, um, we can deliver it, um, to some cells already. And, and, uh, so there's already-

    4. PA

      In vivo or only in vitro?

    5. FZ

      In vivo.

    6. PA

      What, what cells can be delivered in vivo using Cas9 currently?

    7. FZ

      So liver.

    8. PA

      Okay.

    9. FZ

      Yeah, liver is a place where we can use lipid nanoparticles-

    10. PA

      Oh

    11. FZ

      ... to deliver Cas9 and guide RNA into. Uh, you know, the COVID vaccine is made using mRNA-

    12. PA

      Mm-hmm

    13. FZ

      ... and lipid nanoparticle, and, uh, and so it's a very similar approach where you formulate, uh, these, uh, lipids with the Cas9 mRNA and guide RNA.

    14. PA

      And what is it about the liver that makes it amenable to a lipid nanoparticle?

    15. FZ

      Lipid, um, there's a lot of lipid recycling happening in the liver.

    16. PA

      Mm.

    17. FZ

      And so when you have a lipid nanoparticle, uh, they, they get bound by these recycling proteins and they get taken up.

    18. PA

      Interesting. And this is, does it matter the manner in which it's given, intravenous, intramuscular? Does it, do all lipid nanoparticles end up there-

    19. FZ

      Mm-hmm

    20. PA

      ... provided they're not ingested orally and presumably digested?

    21. FZ

      Mm-hmm. A lot of it goes to liver. Um-

    22. PA

      Yeah.

    23. FZ

      Yeah, because liver also, you know, it's one of the areas in our body that filter out all the toxins.

    24. PA

      Yeah.

    25. FZ

      And, uh, so, so everything gets trapped there.

    26. PA

      So in other words, if you were thinking about one of the rare inborn met- diseases of metabolism, these are-

    27. FZ

      Mm

    28. PA

      ... the really rare diseases where children are born-

    29. FZ

      Mm-hmm

    30. PA

      ... without, you know, a particular enzyme that allows them to either metabolize a-

  13. 1:40:15 – 1:52:45

    The ethical implications of gene editing, the debate around germline modification, regulation, and more

    1. FZ

      is.

    2. PA

      Is there any, um, foundational roadblock to doing this, or is it simply just more-- like, you know, if we think about, again, like a M- is there a Moore's law aspect to this where it's-

    3. FZ

      Mm-hmm

    4. PA

      ... just going to get significantly-

    5. FZ

      Mm-hmm

    6. PA

      ... cheaper over time in the same way that, uh, transistors just get significantly cheaper over time?

    7. FZ

      Um, I'm not an expert on, on this, uh, but, but I think there, there will definitely be, uh, efficiencies from scale. Um, enzymatic processes for making these, uh, RNAs, uh, is getting much better. Um, purity is g- uh, is improving. Uh, so all those things, I think, uh, they will compound and, and that will result in significant cost reduction.

    8. PA

      How much do you, uh, follow/pay attention to-

    9. FZ

      Uh-huh

    10. PA

      ... um, sort of the, the regulation of gene editing? Um, I know that, gosh, sometime in the last six, seven years-

    11. FZ

      Mm-hmm

    12. PA

      ... there was a very controversial case in China-

    13. FZ

      Right

    14. PA

      ... with a scientist who had, it seems somewhat nefariously from my reading of the story-

    15. FZ

      Mm-hmm

    16. PA

      ... um, j- uh, edited the embryos of kids to render them, on the surface this sounds like a great idea, but rendered them, um, immune to HIV, and I believe one of their parents was HIV positive.

    17. FZ

      Mm-hmm. Right.

    18. PA

      This was an IVF case. But it turned out that there was an enormous amount of backlash-

    19. FZ

      Mm-hmm

    20. PA

      ... from the scientific and medical community because, I guess, one, he did it without the full consent-

    21. FZ

      Right

    22. PA

      ... of the medical community, um, and also the belief that you actually didn't-- the risk of transmission of HIV was quite low to the child in the first place.

    23. FZ

      Right.

    24. PA

      Can you say more about that case in particular, and then also what the current state of, um, the, of, of the, of genetic, uh, manipulation is from a sort of ethical legal standpoint?

    25. FZ

      Right. So, so this was back in twenty eighteen. Um, there, um, so, so, so there was a, there was a couple, uh, who wanted to have children. Uh, the father was HIV positive, and so they wanted to make sure that their, uh, children, uh, are not HI- are, are not infected by HIV. And, um, and so, so scientists, um, uh, made a mutation, uh, in the embryos, um, that is a gene in, uh, called, called CCR5.

    26. PA

      Mm-hmm.

    27. FZ

      And, uh, and, and this, a CCR5 mutation is a naturally occurring mutation in the human population. Single digit percent of individuals carry this mutation, and, uh, and these individuals are naturally immune to HIV infection because they don't have a specific-

    28. PA

      This is the Magic Johnson mutation.

    29. FZ

      Right. They don't have this specific protein on the surface to allow HIV to bind and, and enter the cell. Um, and so the scientists edited the embryo, a human embryo, um, to remove this PC- uh, this CCR5, uh, gene. But it turned out that that edit wasn't complete. Um, like earlier we were talking about mosaicism.

    30. PA

      Mm-hmm.

  14. 1:52:45 – 1:58:25

    Genetic engineering to enhance human traits: challenges, trade-offs, and ethical concerns

    1. FZ

      Right.

    2. PA

      Um-

    3. FZ

      Right

    4. PA

      ... so then it gets to maybe a, a more complicated question-

    5. FZ

      Right

    6. PA

      ... which is, is there a role for genetic engineering-

    7. FZ

      Choice, yeah

    8. PA

      ... within, um, well, within in utero, for example?

    9. FZ

      Yeah.

    10. PA

      Um, or is that just so technically challenging that it's much easier to focus on just the IVF side of things?

    11. FZ

      So certainly on the disease treatment, monogenic genetic disorder, IVF, I think that that is probably the most likely application. Um, further down the road, um, there are some obstac- obstacles to solve. One, we don't really understand biology enough, so if you wanted to make your kid, you know, 30 IQ points smarter-

    12. PA

      Nobody knows how to do that today

    13. FZ

      ... we don't really know how to do that, and so the biology needs to catch up.

    14. PA

      Yep.

    15. FZ

      But I do think that as society continues to develop, if the science is there and the technology is also there, I think people will opt to, um, to do that. Uh, and of course, you consider whether or not there are other-

    16. PA

      Sorry, meaning i- let's just assume, and by the way-

    17. FZ

      Yeah

    18. PA

      ... I think this is personally, you know, Feng, my view is I think these problems are way harder than people think. I think these polygenic-

    19. FZ

      Mm-hmm

    20. PA

      ... nuanced traits like intelligence-

    21. FZ

      Right

    22. PA

      ... athletic performance-

    23. FZ

      Right

    24. PA

      ... resilience-

    25. FZ

      Right

    26. PA

      ... happiness.

    27. FZ

      Right.

    28. PA

      All of those things I think are infinitely more complicated-

    29. FZ

      Mm-hmm

    30. PA

      ... than we believe, and probably just as environmental as they are genetic.

  15. 1:58:25 – 2:13:15

    Feng’s early life, the influence of the American education system, and the critical role teachers played in shaping his desire to explore gene-editing technology

    1. FZ

      long run.

    2. PA

      So I wanna talk a little bit about kind of your s- your story going back. So you, you grew up in China. You came-

    3. FZ

      Mm-hmm

    4. PA

      ... to the middle of the country, right? Where'd you grow up?

    5. FZ

      Yeah, I grew up in Iowa. So I moved to Des Moines, Iowa, when I was 11 years old.

    6. PA

      What brought your parents here?

    7. FZ

      Uh, my mother came to the U.S. first. Uh, she was a exchange scholar, uh, in computer science, and, um, and she, she had a chance to visit, uh, one of the schools in Iowa, and she saw that the educational system in Iowa was much more hands-on-

    8. PA

      Mm-hmm

    9. FZ

      ... uh, as opposed to just old memorization. And, uh, and because of that, uh, she thought I would maybe benefit more from that type of instruction, so she decided to, uh, to, uh, stay in the U.S. and, and, uh, and immigrate here.

    10. PA

      And when did you start to become aware of your, uh, your, your, your intellectual abilities, for lack of a better term? I mean, was it, was there a, was it just, was school always so easy for you? Were you sort of breezing through high school-

    11. FZ

      [laughs]

    12. PA

      ... acing every test put in front of you or, or what, what was it like?

    13. FZ

      No, I, I, I don't think I'm all that smart. Um, I think, um, I, I, I've always been interested in science. I've always been very curious. Um, so I think I've just always kind of followed my, my curiosity, uh, to do something that, that is enjoyable and fun. Um, I think, um, uh, what, what is really interesting is I, um, I didn't like biology at all, uh, when I-

    14. PA

      You preferred physics and chemistry and mathematics.

    15. FZ

      Yeah, and math. It was more logical.

    16. PA

      Mm-hmm.

    17. FZ

      Um, predict, um, things that I can understand and build a mental model for and then be able to predict things. Biology was very much just old memorization. Uh, so when I first moved to Iowa, um, in seventh, seventh grade, there was life science in middle school. And, uh, I remember it was really about memorizing trees and dissecting frogs and identifying anatomical parts. Uh, it wasn't so much sort of, um, based on logic.

    18. PA

      Yep.

    19. FZ

      It was during seventh grade, um, that I attended a Saturday enrichment class. Uh, it was on molecular biology. Um, I didn't know what molecular, uh, what, what, what, what biology had to do with molecular things, so I went to it. And in that class, that's when I started to learn about the advances in modern biology. Uh, the teacher was very passionate. He taught us about DNA, RNA, protein, the central dogma. Uh, but he also, uh, had us do fun experiments like, um, extracting DNA from strawberries and putting a antibiotic resistant, resistance gene into a bacteria so that it can-

    20. PA

      Wow

    21. FZ

      ... survive on ampicillin. And, uh, he also, at the same time, showed us this, I call it a documentary, but it's actually a Hollywood movie called Jurassic Park.

    22. PA

      [laughs]

    23. FZ

      Um, because think, if you, if you put yourself, uh, in my shoes at the time where you're learning all these molecular biology fundamentals ... gene splicing, all that. And then watching Jurassic Park to see all those theories being so tangibly there to make a dinosaur, um, you know, the movie really felt like a documentary. Uh, but, but it was also just so inspiring and, and exciting. And, um-

    24. PA

      'Cause that's about when Jurassic Park came out, would've been the mid-'90s-

    25. FZ

      Yes, that's right

    26. PA

      ... which is when you were in middle school.

    27. FZ

      Yeah, it was '94. Nine-

    28. PA

      Yeah

    29. FZ

      Yeah. And, uh, so anyway, so I, so I saw that, and I, I became really interested in learning more about molecular biology. We also learned about gene therapy and the promise of using, uh, molecular biology to build rational design medicine. Uh, so, so that really captivated my imagination. The teacher was amazing. Uh, his name is Ed Pelkington, and, uh, he, um-

    30. PA

      Was he only the teacher of the enrichment class, or did he also have r- a regular class that he taught in high school or middle school?

  16. 2:13:15 – 2:18:45

    Feng’s optimism about the trajectory of science

    1. PA

      So you're, you know, barely forty years old. Um, you're one of the most prominent scientists in your field. Um, do you-- are you optimistic about the state of science? Are you, um... And I, and I'll point out two things-

    2. FZ

      Mm-hmm

    3. PA

      ... that are negative that you don't need to comment on.

    4. FZ

      Uh-huh.

    5. PA

      Um, 'cause I don't wanna put you in hot water, but, but just sort of, uh, there's been a clear attack on meritocracy in the United States.

    6. FZ

      Mm-hmm.

    7. PA

      So a lot of the opportunities that, that served you well might not have served you well today.

    8. FZ

      Mm-hmm.

    9. PA

      They might not have been available to you today for various reasons, including your race.

    10. FZ

      Mm-hmm.

    11. PA

      And similarly, um, I think Despite all of the remarkable scientific advances during COVID, there was also a loss of public faith in science during COVID, where some of the lines between science and advocacy got blurred greatly, um, in addition to a whole bunch of other things. So in other words, I guess what I'm saying is there are a lot of things today that-

    12. FZ

      Mm-hmm

    13. PA

      ... don't look as promising as they did maybe 10 years ago vis-a-vis, um, the field, um, and, and just sort of the, the state of the art. Despite those things, do you remain as optimistic as ever, or do you have concerns?

    14. FZ

      I am an optimist. I think that's the only way to be, because if you're not optimistic, then, then there's only downside, uh, when, when you are like that. Uh, but I am optimistic about science. I mean, I'm so excited about all of the rapid advances that are happening. Um, knowledge about biology, about the human body, physiology is accumulating at a very rapid pace. Every week there are interesting and exciting discoveries that are being reported, and our technologies for studying biological systems are also accelerating with, you know, sequencing technology development to protein, uh, mass spectrometry, to gene editing, uh, to new microscopy. Um, that is allowing us to collect new and more rich data, uh, cheaper and faster. And then there's AI. Um, with the, the advance of AI and larger computing, um, platforms, uh, we can analyze and learn and, and build models around those data, um, that are much more, for- much more powerful and much more, uh, predictive, predictive and generative, uh, than ever before. And that, combined with future advances in robotics, where we can have automation of experimentation and maybe even building a closed loop system where AI and, and with human intervention can design and iterate our experiments, uh, rapidly-

    15. PA

      Mm

    16. FZ

      ... I think it's gonna accelerate science and medicine and human health, uh, beyond our imagination. So I think that's really exciting. Um, at the same time, I think we need to continue to motivate people's interest in science. Um, we, we need to make sure that the best talent are going into science.

    17. PA

      Do you worry that we've lost the focus on STEM that-- I mean, obviously people talk about the heyday of science, right? During the 1960s-

    18. FZ

      Mm-hmm

    19. PA

      ... when kids growing up saw the space program, saw the Cold War-

    20. FZ

      Mm-hmm

    21. PA

      ... the best and the brightest wanted to do science. They wanted to do engineering.

    22. FZ

      Mm-hmm.

    23. PA

      Um, do you, do you feel that's slipping away? And if so, what do you think is necessary to bring it back? How do we get the absolute best people into STEM?

    24. FZ

      I think we can do more, for sure. Um, I think we need to get kids more excited about science. Um, and I think we need to, um, we, we need the education system to, to support, um, kids who are curious and, and, uh, who have special interests in the science and technical things and, and to give them opportunities like the ones that I had-

    25. PA

      Yeah

    26. FZ

      ... to, to really explore those curiosities and interests. Um, when they're young, um, they are optimistic, and they have energy, and if we can nurture that and help them maintain that curiosity and energy, I think that's how we get the best people to continue in science.

    27. PA

      Yeah. I, I couldn't agree with you more. Um, and this is not an investment that pays off in a year.

    28. FZ

      Mm-mm.

    29. PA

      Right? You've got to be doing this today, and then you'll get your payoff in a decade, in two decades.

    30. FZ

      Right.

Episode duration: 2:18:46

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