WEBVTT 00:00:00.000 --> 00:00:02.720 Welcome to the Deep Dive, where we unlock the 00:00:02.720 --> 00:00:04.700 profound insights from groundbreaking research, 00:00:05.099 --> 00:00:06.879 giving you a shortcut to truly understanding 00:00:06.879 --> 00:00:08.740 the discoveries that are reshaping our world. 00:00:09.240 --> 00:00:11.179 Today, we're embarking on a truly remarkable 00:00:11.179 --> 00:00:13.599 journey, one that takes us deep into the hidden, 00:00:13.779 --> 00:00:16.320 intricate biological mechanisms that silently 00:00:16.320 --> 00:00:19.859 govern our health every single second. I mean, 00:00:20.219 --> 00:00:22.760 how often do you pause to consider the ceaseless, 00:00:23.079 --> 00:00:25.780 elegant dance happening inside your body at a 00:00:25.780 --> 00:00:28.280 molecular level? What if we can not only witness 00:00:28.280 --> 00:00:30.399 those breathtaking interactions with unprecedented 00:00:30.399 --> 00:00:32.840 clarity, but also understand their precise language, 00:00:33.039 --> 00:00:35.380 and then, crucially, learn to communicate back, 00:00:35.479 --> 00:00:37.079 perhaps even, you know, whisper instructions 00:00:37.079 --> 00:00:39.820 or shout commands to restore health? Imagine 00:00:39.820 --> 00:00:41.939 a scientist who possesses this almost superhuman 00:00:41.939 --> 00:00:44.960 ability to literally see the unseen, to translate 00:00:44.960 --> 00:00:47.380 the invisible choreography of molecules into 00:00:47.380 --> 00:00:49.539 actionable knowledge, thereby unlocking potential 00:00:49.539 --> 00:00:52.299 cures and redesigning the very fabric of biological 00:00:52.299 --> 00:00:54.740 communication. That's the extraordinary individual 00:00:54.740 --> 00:00:56.950 we're deep diving into today. K. Christopher 00:00:56.950 --> 00:00:58.530 Garcia, he's not just an American scientist, 00:00:58.810 --> 00:01:01.509 he's a structural biologist who holds a distinguished 00:01:01.509 --> 00:01:03.710 professorship at Stanford University School of 00:01:03.710 --> 00:01:05.769 Medicine, an investigator of the prestigious 00:01:05.769 --> 00:01:08.250 Howard Hughes Medical Institute, and a highly 00:01:08.250 --> 00:01:10.209 respected member of both the National Academies 00:01:10.209 --> 00:01:14.219 of Science and Medicine. And to immediately underscore 00:01:14.219 --> 00:01:16.400 the profound translational impact of his visionary 00:01:16.400 --> 00:01:18.900 work, it's vital to know he's also a co -founder 00:01:18.900 --> 00:01:21.219 of several pioneering biotechnology companies. 00:01:21.500 --> 00:01:23.480 This isn't just theory. This is discovery moving 00:01:23.480 --> 00:01:25.579 directly to application. Right. And what's truly 00:01:25.579 --> 00:01:27.719 fascinating here, I think, is that Garcia's entire 00:01:27.719 --> 00:01:31.019 approach stands as a testament to bridging what 00:01:31.019 --> 00:01:33.540 often appears to be a chasm between fundamental 00:01:33.540 --> 00:01:36.620 curiosity -driven basic science and its direct 00:01:36.620 --> 00:01:40.400 impactful translational application. This intersection 00:01:40.400 --> 00:01:42.920 is not just vital, it's becoming the very crucible 00:01:42.920 --> 00:01:45.459 of modern biological innovation, really. Our 00:01:45.459 --> 00:01:47.900 mission today is to meticulously explore how 00:01:47.900 --> 00:01:50.439 he has masterfully integrated the powerful disciplines 00:01:50.439 --> 00:01:53.200 of structural biology, biochemistry, and protein 00:01:53.200 --> 00:01:56.810 engineering. His goal, well... It's to understand 00:01:56.810 --> 00:01:59.030 with atomic precision how cell surface receptors 00:01:59.030 --> 00:02:01.730 function, to reveal the fundamental, often elusive 00:02:01.730 --> 00:02:04.409 mechanisms that drive human disease, and then 00:02:04.409 --> 00:02:06.650 armed with that profound understanding to design 00:02:06.650 --> 00:02:09.569 entirely novel therapeutics. And his work is 00:02:09.569 --> 00:02:11.530 exceptionally broad, spanning critical areas 00:02:11.530 --> 00:02:13.770 from the intricate world of immunology, which 00:02:13.770 --> 00:02:16.509 protects us, to the complexities of neurobiology 00:02:16.509 --> 00:02:19.289 and the very foundations of developmental biology. 00:02:19.469 --> 00:02:21.030 It's an expansive and breathtaking spectrum, 00:02:21.069 --> 00:02:23.169 isn't it? It really is. From deciphering the 00:02:23.169 --> 00:02:26.259 most minute molecular handshake, to engineering 00:02:26.259 --> 00:02:28.460 sophisticated solutions for some of humanity's 00:02:28.460 --> 00:02:31.659 most complex and challenging diseases. Okay, 00:02:31.900 --> 00:02:34.039 let's unpack this incredible journey of discovery, 00:02:34.280 --> 00:02:36.819 delving into how visualizing these impossibly 00:02:36.819 --> 00:02:39.819 tiny molecular interactions has yielded insights 00:02:39.819 --> 00:02:42.800 with truly enormous implications for human health 00:02:42.800 --> 00:02:45.699 and, well, our understanding of life itself. 00:02:46.680 --> 00:02:49.819 Okay, so to truly appreciate the profound impact 00:02:49.819 --> 00:02:51.740 of K. Christopher Garcia's contributions, we 00:02:51.740 --> 00:02:53.439 probably need to start at the beginning, right? 00:02:53.900 --> 00:02:56.360 lay the bedrock of his career by examining his 00:02:56.360 --> 00:02:59.340 foundational education and the unique structural 00:02:59.340 --> 00:03:02.949 biology lens he meticulously developed. His academic 00:03:02.949 --> 00:03:05.289 trajectory reveals consistent, almost relentless 00:03:05.289 --> 00:03:08.289 pursuit of a fundamental atomic -level biological 00:03:08.289 --> 00:03:10.550 understanding. He kicked things off at Tulane 00:03:10.550 --> 00:03:12.969 University, earning his bachelor of science in 00:03:12.969 --> 00:03:15.930 biochemistry. A solid chemical and biological 00:03:15.930 --> 00:03:18.069 grounding there. Exactly. But it was his graduate 00:03:18.069 --> 00:03:20.169 work at Johns Hopkins University School of Medicine 00:03:20.169 --> 00:03:22.469 that really set the trajectory for his future 00:03:22.469 --> 00:03:25.349 groundbreaking work. He got his PhD in biophysics 00:03:25.349 --> 00:03:28.930 under El Mario Amso. Right, and that early specialization 00:03:28.930 --> 00:03:32.009 in biophysics is key. Why so key? Well, biophysics 00:03:32.009 --> 00:03:34.689 applies the principles of physics to biological 00:03:34.689 --> 00:03:37.650 systems. It honed his ability to think about 00:03:37.650 --> 00:03:39.949 the physical forces, the structures governing 00:03:39.949 --> 00:03:42.530 life. It wasn't just about what molecules were 00:03:42.530 --> 00:03:44.930 there, but how they physically interacted, their 00:03:44.930 --> 00:03:48.090 mechanics. This shaped his talent for visualizing 00:03:48.090 --> 00:03:51.479 complex structures later on. Ah. OK, so he was 00:03:51.479 --> 00:03:54.419 learning the mechanics of life's machinery, essentially. 00:03:54.699 --> 00:03:57.719 Precisely. And that strong, almost architectural 00:03:57.719 --> 00:04:00.479 foundation in biophysics was then profoundly 00:04:00.479 --> 00:04:03.439 amplified by his postdoctoral research. He spent 00:04:03.439 --> 00:04:06.039 a pivotal period at Genentech, working in the 00:04:06.039 --> 00:04:08.919 labs of David Goodell and Tony Kosyakoff. Genentech, 00:04:08.919 --> 00:04:11.159 that was a big deal back then, wasn't it? Especially 00:04:11.159 --> 00:04:14.020 for biotech. Huge. And this wasn't just any postdoc. 00:04:14.099 --> 00:04:16.360 It was an immersion into what were genuinely 00:04:16.360 --> 00:04:19.000 nascent technologies at the time, things like 00:04:19.000 --> 00:04:21.160 protein engineering. and recombinant protein 00:04:21.160 --> 00:04:24.240 expression. Think about it, late 80s, early 90s, 00:04:24.660 --> 00:04:27.579 the ability to rationally design or even just 00:04:27.579 --> 00:04:30.040 reliably produce specific proteins in large amounts, 00:04:30.480 --> 00:04:32.379 that was revolutionary. Right, we sort of take 00:04:32.379 --> 00:04:35.240 it for granted now. We do. Gentec was pushing 00:04:35.240 --> 00:04:37.779 those boundaries. So Garcia's time there was 00:04:37.779 --> 00:04:40.060 critical. He wasn't just watching. He was developing 00:04:40.060 --> 00:04:42.420 the tools, the practical methods, and maybe even 00:04:42.420 --> 00:04:45.259 that sort of entrepreneurial mindset to manipulate 00:04:45.259 --> 00:04:47.459 and understand proteins on a whole new scale. 00:04:48.040 --> 00:04:50.699 And following Gentec, he then further solidified 00:04:50.699 --> 00:04:53.240 his expertise in structural biology. He went 00:04:53.240 --> 00:04:55.480 to the Scripps Research Institute, working in 00:04:55.480 --> 00:04:58.060 Ian Wilson's lab. Another top institution. What 00:04:58.060 --> 00:05:00.759 was the focus there? Wilson's lab was a powerhouse 00:05:00.759 --> 00:05:03.240 in X -ray crystallography, the technique for 00:05:03.240 --> 00:05:05.920 figuring out the 3D structure of molecules. So 00:05:05.920 --> 00:05:08.660 this phase really refined his skills in crystallizing 00:05:08.660 --> 00:05:11.199 tricky proteins and deciphering their atomic 00:05:11.199 --> 00:05:14.100 structures. So what you see emerging is this 00:05:14.100 --> 00:05:16.860 extraordinary multidisciplinary training from 00:05:16.860 --> 00:05:19.860 these top tier places. And that GenTech experience 00:05:19.860 --> 00:05:22.779 in particular gave him this truly unique toolkit. 00:05:22.819 --> 00:05:25.779 How so? It blended the deep theoretical structural 00:05:25.779 --> 00:05:28.379 insights with the very practical hands -on application. 00:05:28.240 --> 00:05:31.459 of protein engineering. This unique fusion, the 00:05:31.459 --> 00:05:34.240 ability not just to see and understand, but to 00:05:34.240 --> 00:05:37.000 actively design and build new biological molecules 00:05:37.000 --> 00:05:39.240 that became a defining hallmark of his lab's 00:05:39.240 --> 00:05:41.740 work later on. So he could ask the big questions 00:05:41.740 --> 00:05:44.279 and then actually engineer the tools to find 00:05:44.279 --> 00:05:47.040 the answers. Exactly, and potentially engineer 00:05:47.040 --> 00:05:49.819 the tools to fix the problems too. It's undeniably 00:05:49.819 --> 00:05:52.579 clear how that incredibly diverse and hands -on 00:05:52.579 --> 00:05:54.920 training lead the intellectual groundwork for 00:05:54.920 --> 00:05:58.839 his research philosophy at Stanford. So today... 00:05:58.540 --> 00:06:02.600 His lab there is this vibrant hub, a place where 00:06:02.600 --> 00:06:05.500 structural biology, biochemistry, protein engineering, 00:06:06.220 --> 00:06:08.120 they're not just existing side by side, they're 00:06:08.120 --> 00:06:10.740 deeply integrated. Absolutely, working in concert. 00:06:10.839 --> 00:06:13.680 And the core theme driving it all is understanding 00:06:13.680 --> 00:06:16.459 how cell surface receptors, the cell's antenna, 00:06:17.120 --> 00:06:19.100 basically sense cues from their environment. 00:06:19.399 --> 00:06:22.079 Picking up those signals, those extracellular 00:06:22.079 --> 00:06:24.199 ligands. And then, crucially, how they transmit 00:06:24.199 --> 00:06:26.779 those signals inside the cell, triggering responses. 00:06:26.920 --> 00:06:29.160 Right, the transduction. So his main goal is 00:06:29.160 --> 00:06:32.480 to clarify, like with atomic detail, the structural 00:06:32.480 --> 00:06:34.920 and mechanistic basis of how these receptors 00:06:34.920 --> 00:06:37.459 get activated, particularly in systems relevant 00:06:37.459 --> 00:06:39.480 to human disease. But it doesn't stop at just 00:06:39.480 --> 00:06:41.839 understanding. No, that's the key part, isn't 00:06:41.839 --> 00:06:43.980 it? Once that deep knowledge is there, the rules 00:06:43.980 --> 00:06:46.620 of communication are figured out. That information 00:06:46.620 --> 00:06:49.180 is then strategically exploited to design and 00:06:49.180 --> 00:06:51.519 engineer completely new molecules, tailor -made 00:06:51.519 --> 00:06:54.160 with therapeutic properties. Precisely. So for 00:06:54.160 --> 00:06:56.500 you listening, what does this all mean? Well, 00:06:56.720 --> 00:06:59.459 think of yourselves constantly listening to their 00:06:59.459 --> 00:07:01.860 surroundings, processing signals every second, 00:07:02.160 --> 00:07:05.319 deciding to grow, move, whatever. Garcia's work 00:07:05.319 --> 00:07:08.399 is like being a master cryptographer. Deciphering 00:07:08.399 --> 00:07:11.500 the code. Exactly. Figuring out the exact language 00:07:11.500 --> 00:07:13.920 and the mechanism of that cellular listening. 00:07:14.959 --> 00:07:17.420 just observing. He's learning the rules and then 00:07:17.420 --> 00:07:19.360 learning how to whisper precise instructions 00:07:19.360 --> 00:07:22.019 or maybe shout commands for therapeutic benefit. 00:07:22.699 --> 00:07:24.680 Essentially rewriting parts of the biological 00:07:24.680 --> 00:07:26.959 instruction manual for health. Yeah, that's a 00:07:26.959 --> 00:07:30.079 great way to put it. Deciphering and then judiciously 00:07:30.079 --> 00:07:33.259 editing life's instructions. Okay, so let's pivot 00:07:33.259 --> 00:07:36.139 now. Let's talk about one of Garcia's most impactful 00:07:36.139 --> 00:07:38.839 early contributions. Something that really reshaped 00:07:38.839 --> 00:07:42.040 immunology. Visualizing T -cell recognition. 00:07:42.300 --> 00:07:45.199 A truly foundational piece of work. It seems 00:07:45.199 --> 00:07:47.519 his early work, even back in grad school at Johns 00:07:47.519 --> 00:07:49.740 Hopkins, was setting the stage. He was looking 00:07:49.740 --> 00:07:53.019 at how anti -endotypic antibodies recognize peptide 00:07:53.019 --> 00:07:55.620 antigens. Which sounds complex. It is a bit. 00:07:56.000 --> 00:07:58.439 But basically these are antibodies that recognize 00:07:58.439 --> 00:08:01.420 other antibodies, potentially mimicking an antigen's 00:08:01.420 --> 00:08:03.540 shape. So if an early dive into the principles 00:08:03.540 --> 00:08:06.480 of molecular recognition, how one molecule specifically 00:08:06.480 --> 00:08:09.100 finds and binds another. Laying the groundwork 00:08:09.100 --> 00:08:12.040 for T cells. Exactly. Because the pivotal moment 00:08:12.040 --> 00:08:15.329 came during his post -doc at Scripps. He led 00:08:15.329 --> 00:08:17.569 this groundbreaking study that revealed, for 00:08:17.569 --> 00:08:21.009 the very first time, how T cells actually survey 00:08:21.009 --> 00:08:24.189 peptide fragments presented by MHC proteins on 00:08:24.189 --> 00:08:27.050 other cells. The self versus non -self recognition 00:08:27.050 --> 00:08:29.490 system. The absolute core of it, distinguishing 00:08:29.490 --> 00:08:31.730 healthy cells from infected or cancerous ones. 00:08:32.289 --> 00:08:34.330 And his research led to the monumental first 00:08:34.330 --> 00:08:37.330 visualization of a T cell receptor. the TCR, 00:08:37.669 --> 00:08:40.909 bound to a peptide MHC complex, the PMHC. Published 00:08:40.909 --> 00:08:43.990 in Science in 1996. A huge deal. It wasn't just 00:08:43.990 --> 00:08:46.309 an observation, it fundamentally changed how 00:08:46.309 --> 00:08:49.490 we saw T cell immunity. Oh, absolutely. That 00:08:49.490 --> 00:08:52.309 96 paper wasn't just another publication, it 00:08:52.309 --> 00:08:55.169 was like a scientific earthquake. It shifted 00:08:55.169 --> 00:08:58.090 the entire field. Before that, immunologists 00:08:58.090 --> 00:09:01.450 had theories, models, lots of indirect evidence, 00:09:01.809 --> 00:09:03.850 but they lacked the definitive picture. They 00:09:03.850 --> 00:09:06.600 knew what T cells did. Kill infected cells. regulate 00:09:06.600 --> 00:09:09.799 immunity. Right. But Garcia provided the actual 00:09:09.799 --> 00:09:12.259 atomic level snapshot of how they engage with 00:09:12.259 --> 00:09:15.200 the antigen. It was like having a map of a city 00:09:15.200 --> 00:09:17.340 but never having seen the actual building. Ah, 00:09:17.360 --> 00:09:19.559 okay. This provided the architectural details. 00:09:19.740 --> 00:09:23.210 Exactly. The missing link. And the impact. immediate 00:09:23.210 --> 00:09:26.230 and profound. It transformed immunology, gave 00:09:26.230 --> 00:09:28.990 a rational basis for designing vaccines, helped 00:09:28.990 --> 00:09:31.669 understand autoimmunity, how T cells might mistake 00:09:31.669 --> 00:09:34.690 self, and crucially, it catalyzed the whole field 00:09:34.690 --> 00:09:36.750 of immunotherapy, especially for cancer. Because 00:09:36.750 --> 00:09:38.889 that relies on directing T cells, right? Fundamentally. 00:09:39.190 --> 00:09:41.309 This structure provided the blueprint for how 00:09:41.309 --> 00:09:43.029 to do that, how to target that interaction. It 00:09:43.029 --> 00:09:45.250 was literally a blueprint for immune intervention. 00:09:45.710 --> 00:09:48.429 It's amazing how one clear image can just change 00:09:48.429 --> 00:09:50.970 everything. And his work on T cells didn't stop 00:09:50.970 --> 00:09:53.750 there, did it? when he got to Stanford? No, his 00:09:53.750 --> 00:09:57.049 lab continued to push the boundaries. In 2007, 00:09:57.129 --> 00:09:59.549 for instance, they reported the structure of 00:09:59.549 --> 00:10:02.529 the pre -B cell receptor, the pre -BCR. What 00:10:02.529 --> 00:10:04.889 was significant about that one? It revealed a 00:10:04.889 --> 00:10:07.070 completely different mechanism. It showed how 00:10:07.070 --> 00:10:10.330 these pre -BCRs cluster together oligomerized 00:10:10.330 --> 00:10:13.029 to signal without needing an antigen. So not 00:10:13.029 --> 00:10:15.950 the usual key and lock thing? Not at all. Sometimes 00:10:15.950 --> 00:10:18.629 just forming the right cluster is enough to send 00:10:18.629 --> 00:10:21.450 a powerful signal. It showed this whole other 00:10:21.450 --> 00:10:24.250 layer of control in how immune cells develop. 00:10:24.570 --> 00:10:27.210 And they kept publishing landmark papers in this 00:10:27.210 --> 00:10:29.690 area. They did, including the first structure 00:10:29.690 --> 00:10:32.669 of a co -TCR PMHC complex. They have a delta 00:10:32.669 --> 00:10:34.470 T cells. Yeah. They're different, right? Very 00:10:34.470 --> 00:10:36.789 distinct, yeah. Different roles, sort of first 00:10:36.789 --> 00:10:39.470 line of defense in some tissues. Understanding 00:10:39.470 --> 00:10:41.629 their interactions was a whole new puzzle. They 00:10:41.629 --> 00:10:43.870 also figured out the molecular basis for how 00:10:43.870 --> 00:10:48.039 TCRs can both self and foreign MHCs showing this 00:10:48.039 --> 00:10:51.279 remarkable adaptability. Fine -tuned scanning. 00:10:51.519 --> 00:10:53.940 And they looked into the germline basis, suggesting 00:10:53.940 --> 00:10:56.899 maybe innate predispositions in how these interactions 00:10:56.899 --> 00:10:59.039 happen. And what about cross -reactivity? I remember 00:10:59.039 --> 00:11:01.340 reading about that. Yeah, that was vital work, 00:11:01.799 --> 00:11:05.080 too. Quantifying how one single TCR can actually 00:11:05.080 --> 00:11:08.419 react to multiple different PMHCs. Which is good 00:11:08.419 --> 00:11:10.500 for fighting lots of bugs. Right, gives you immune 00:11:10.500 --> 00:11:13.320 rep. But it's also a major source of autoimmunity, 00:11:13.460 --> 00:11:16.720 where that TCR mistakenly hits a self -peptide. 00:11:16.779 --> 00:11:20.110 The downside of flexibility. Exactly. And finally, 00:11:20.210 --> 00:11:22.690 they really nailed down the structural trigger 00:11:22.690 --> 00:11:25.710 for TCR signaling itself, moving beyond just 00:11:25.710 --> 00:11:27.850 how they bind to how that binding event actually 00:11:27.850 --> 00:11:30.769 kicks off the signaling cascade inside the cell. 00:11:31.210 --> 00:11:34.090 So from the static picture to the dynamic mechanism. 00:11:34.590 --> 00:11:37.250 Precisely. Understanding the conformational change, 00:11:37.350 --> 00:11:39.090 the flick of the wrist, that sets everything 00:11:39.090 --> 00:11:41.210 off. And again, this deep foundational knowledge 00:11:41.210 --> 00:11:44.110 wasn't just for textbooks. It directly fuels 00:11:44.110 --> 00:11:47.230 new technologies. One of the big recent developments 00:11:47.230 --> 00:11:50.799 is a peptide MH3. library technology. OK, what 00:11:50.799 --> 00:11:52.600 does that let scientists do? Well, imagine you 00:11:52.600 --> 00:11:54.720 find a T cell in a tumor that seems to be fighting 00:11:54.720 --> 00:11:56.980 the cancer, but you don't know what specific 00:11:56.980 --> 00:12:00.000 target it's recognizing. It's antigen. This technology, 00:12:00.220 --> 00:12:02.820 often using yeast display, lets you create huge 00:12:02.820 --> 00:12:05.620 libraries of potential peptide MHC complexes. 00:12:05.820 --> 00:12:07.940 Like a giant lineup of suspects. Kind of, yeah. 00:12:08.500 --> 00:12:11.139 You can screen these libraries to find the specific 00:12:11.139 --> 00:12:14.039 antigen for those orphan T cell receptors, especially 00:12:14.039 --> 00:12:17.659 the ones inside tumors. finding the target for 00:12:17.659 --> 00:12:20.179 the tumor -fighting T cells. Exactly. It's a 00:12:20.179 --> 00:12:22.759 key tool for precision immunotherapy. Understanding 00:12:22.759 --> 00:12:25.159 what the T cells are trying to fight helps us 00:12:25.159 --> 00:12:28.139 help them do it better. And interestingly, this 00:12:28.139 --> 00:12:31.080 tech also gave them new ways to study the initiation 00:12:31.080 --> 00:12:34.000 of signaling, refining those earlier structural 00:12:34.000 --> 00:12:36.720 trigger insights even further. That's just incredible. 00:12:36.940 --> 00:12:38.799 It really feels like unlocking a secret code, 00:12:38.799 --> 00:12:40.840 doesn't it? Being able to direct our own immune 00:12:40.840 --> 00:12:44.299 system with such precision. OK, so from the immune 00:12:44.299 --> 00:12:47.940 system, let's broaden out. Because Garcia's curiosity 00:12:47.940 --> 00:12:50.379 and his structural toolkit, they weren't just 00:12:50.379 --> 00:12:52.899 limited to immune cells. He turned that same 00:12:52.899 --> 00:12:55.539 lens onto other vital cellular communications. 00:12:55.820 --> 00:12:58.000 A whole symphony of interactions. Yeah, exactly. 00:12:58.559 --> 00:13:00.440 Here's where it gets really captivating, seeing 00:13:00.440 --> 00:13:02.639 this structural approach applied across different 00:13:02.639 --> 00:13:05.659 signaling systems. OK, first up in this symphony. 00:13:05.740 --> 00:13:08.139 Cytokine signaling, the language of cells you 00:13:08.139 --> 00:13:10.240 called it earlier. Right. These small proteins 00:13:10.240 --> 00:13:12.700 are crucial messengers, especially in the immune 00:13:12.700 --> 00:13:15.580 system, but also in development, repair. All 00:13:15.580 --> 00:13:17.559 sorts of things. And Garcia's work established 00:13:17.559 --> 00:13:19.639 the fundamental principles, right? How they bind 00:13:19.639 --> 00:13:22.039 receptors, how they activate signals. Yeah, he 00:13:22.039 --> 00:13:24.200 provided the structural basis for a lot of it. 00:13:24.480 --> 00:13:26.759 His lab determined the first crystal structures 00:13:26.759 --> 00:13:29.600 for several key cytokine families bound to their 00:13:29.600 --> 00:13:32.399 receptors. Like which ones? Well, the GP130 family, 00:13:32.399 --> 00:13:35.179 that includes IL -6, a big player in inflammation 00:13:35.179 --> 00:13:38.360 and development. And the common gamma chain family, 00:13:38.440 --> 00:13:41.159 IL -2, is in there, vital for T cell growth. 00:13:41.259 --> 00:13:43.860 And others too? Oh, yeah. Type I and type III 00:13:43.860 --> 00:13:47.049 interferons. critical for fighting viruses. And 00:13:47.049 --> 00:13:49.889 structures for many others, IL -1, IL -4, IL 00:13:49.889 --> 00:13:55.450 -13, IL -15, IL -17, IL -23, LIF, CNTF, a huge 00:13:55.450 --> 00:13:57.250 body of work. So what did all these different 00:13:57.250 --> 00:13:59.649 structures actually reveal? Was there one common 00:13:59.649 --> 00:14:01.740 theme? That's the interesting part, not really 00:14:01.740 --> 00:14:03.740 one theme. They showed this incredible diversity 00:14:03.740 --> 00:14:05.720 in how they bind different architectures, different 00:14:05.720 --> 00:14:08.879 topologies. It suggests nature, through convergent 00:14:08.879 --> 00:14:10.779 evolution, found many different ways for these 00:14:10.779 --> 00:14:12.820 receptors to get the signal across the membrane. 00:14:13.259 --> 00:14:15.500 A master class in molecular problem solving, 00:14:15.700 --> 00:14:18.500 as you said. Exactly. Lots of ingenious solutions. 00:14:18.620 --> 00:14:20.360 And again, it wasn't just about understanding. 00:14:20.580 --> 00:14:23.539 No, they leveraged that knowledge. Garcia's group 00:14:23.539 --> 00:14:26.000 used directed evolution that accelerated evolution 00:14:26.000 --> 00:14:28.519 in the lab to engineer cytokine variants. To 00:14:28.519 --> 00:14:30.620 make them better. Essentially. Yeah, they created 00:14:30.620 --> 00:14:34.679 versions of IL -2, IL -4, and IFN with much higher 00:14:34.679 --> 00:14:37.120 affinity, better stability, improved therapeutic 00:14:37.120 --> 00:14:40.059 properties. So like designing a super cytokine. 00:14:40.259 --> 00:14:42.799 That's the idea. Yeah. One that could more effectively 00:14:42.799 --> 00:14:45.679 boost an immune response against cancer, or maybe 00:14:45.679 --> 00:14:47.860 calm inflammation in autoimmune disease, but 00:14:47.860 --> 00:14:50.799 with more precision and fewer side effects. Direct 00:14:50.799 --> 00:14:53.659 application of that structural insight. OK, moving 00:14:53.659 --> 00:14:56.480 on to another fundamental system. What signaling? 00:14:56.779 --> 00:14:58.759 You call this one a doughnut -shaped mystery. 00:14:59.210 --> 00:15:01.250 Yeah, that refers to the structure they found. 00:15:01.789 --> 00:15:03.970 Want signaling is absolutely crucial for embryonic 00:15:03.970 --> 00:15:06.230 development, tissue regeneration, maintaining 00:15:06.230 --> 00:15:09.190 stem cells, really fundamental stuff. And his 00:15:09.190 --> 00:15:12.629 lab had a big moment here. They did. Back in 00:15:12.629 --> 00:15:15.330 2012, they got the crystal structure of a want 00:15:15.330 --> 00:15:18.169 protein bound to its receptor frizzled. And what 00:15:18.169 --> 00:15:21.169 was so aha about it? It showed this really unusual 00:15:21.169 --> 00:15:24.759 binding mode. Want proteins use a lipid modification, 00:15:25.379 --> 00:15:27.960 a fatty acid chain stuck onto the protein to 00:15:27.960 --> 00:15:30.279 directly grab onto the fizzled receptor. That's 00:15:30.279 --> 00:15:32.620 not typical for soluble ligands. Not at all. 00:15:32.700 --> 00:15:36.080 Usually it's protein -protein contact. This lipid 00:15:36.080 --> 00:15:38.620 key fitting into a specific lock was unexpected. 00:15:39.059 --> 00:15:41.480 And the overall structure of the complex, it 00:15:41.480 --> 00:15:44.039 formed this striking donut shape. Which made 00:15:44.039 --> 00:15:46.840 the cover of science. It did. It completely changed 00:15:46.840 --> 00:15:49.799 the view of how wants communicate, highlighting 00:15:49.799 --> 00:15:52.320 this unique lipid -mediated interaction. And 00:15:52.320 --> 00:15:55.679 knowing that mechanism, that donut shape. that 00:15:55.679 --> 00:15:58.700 opened up therapeutic possibilities. Huge possibilities. 00:15:58.840 --> 00:16:01.139 More recently, his lab reported they could actually 00:16:01.139 --> 00:16:03.480 recreate what's signaling the main canonical 00:16:03.480 --> 00:16:05.820 pathway using engineered molecules. Why do they 00:16:05.820 --> 00:16:09.059 do that? They design these water -soluble, bispecific 00:16:09.059 --> 00:16:11.679 ligands, molecules that grab onto both Frizzled 00:16:11.679 --> 00:16:14.440 and another co -receptor, LRP6, and bring them 00:16:14.440 --> 00:16:16.679 together, mimicking the natural activation. And 00:16:16.679 --> 00:16:19.519 the implications. Massive for regenerative medicine. 00:16:19.840 --> 00:16:23.019 Being able to precisely turn on these powerful 00:16:23.019 --> 00:16:26.340 repair and growth pathways. Think about repairing 00:16:26.340 --> 00:16:28.559 damaged tissues, maybe even growing new ones. 00:16:28.919 --> 00:16:31.840 It's a direct result of understanding that initial 00:16:31.840 --> 00:16:37.059 structure. Another critical pathway for self 00:16:37.059 --> 00:16:39.500 -fate decisions, development. And notoriously 00:16:39.500 --> 00:16:42.059 tricky to study structurally. But Garcia's lab 00:16:42.059 --> 00:16:45.580 managed it. They did. In 2015 and 2017, they 00:16:45.580 --> 00:16:47.980 published the first atomic level views of notch 00:16:47.980 --> 00:16:50.419 signaling complexes in science. How do they overcome 00:16:50.419 --> 00:16:52.360 the difficulties? The interactions are weak, 00:16:52.440 --> 00:16:55.080 right? Yeah, low affinity. So they cleverly used 00:16:55.080 --> 00:16:57.320 directed evolution again to strengthen the binding 00:16:57.320 --> 00:16:59.740 between notch one and its ligands, like delta 00:16:59.740 --> 00:17:02.500 like four, DLL four, and jagged one, jag one, 00:17:02.779 --> 00:17:05.529 just enough to stabilize them for crystal. Smart 00:17:05.529 --> 00:17:07.529 workaround. And what did the structures show? 00:17:07.710 --> 00:17:10.829 Long, narrow binding interfaces. But with a real 00:17:10.829 --> 00:17:13.470 surprise. These interfaces were heavily decorated 00:17:13.470 --> 00:17:15.829 with O -linked Fucose and glucose modifications 00:17:15.829 --> 00:17:18.170 on notch sugars. Sugars right at the binding 00:17:18.170 --> 00:17:21.349 site. Exactly. And O -linked glycans like that 00:17:21.349 --> 00:17:24.150 are rarely seen playing such a direct role in 00:17:24.150 --> 00:17:27.349 protein interfaces. It immediately explained 00:17:27.349 --> 00:17:30.109 how changing the glycosylation, changing those 00:17:30.109 --> 00:17:32.809 sugars, could directly tune notch signaling. 00:17:33.200 --> 00:17:36.559 an unexpected chemical detail with big consequences. 00:17:36.819 --> 00:17:39.759 But wait, there's more. The 2017 paper also showed 00:17:39.759 --> 00:17:42.299 that these notch -legged interactions form catch 00:17:42.299 --> 00:17:45.460 bonds. Catch bonds. Remind me. They get stronger 00:17:45.460 --> 00:17:48.380 under mechanical force, up to a point. Counterintuitive, 00:17:48.640 --> 00:17:51.259 right? Normally, pull harder, things break faster. 00:17:51.519 --> 00:17:53.460 So pulling actually stabilizes the connection. 00:17:53.680 --> 00:17:56.420 For a bit, yes. Which raises fascinating questions 00:17:56.420 --> 00:17:58.420 about how cells physically pull on each other 00:17:58.420 --> 00:18:01.279 to communicate. They found that delta and jagged 00:18:01.279 --> 00:18:03.680 ligands have different force thresholds to activate 00:18:03.680 --> 00:18:06.599 notch. Suggesting a sophisticated mechano -sensing 00:18:06.599 --> 00:18:08.980 mechanism. Precisely. Cells aren't just sending 00:18:08.980 --> 00:18:11.480 chemical signals. They're literally feeling each 00:18:11.480 --> 00:18:14.059 other out with physical tension translating directly 00:18:14.059 --> 00:18:16.940 into a biochemical response. The pulling is part 00:18:16.940 --> 00:18:19.480 of the message. That is remarkable. A handshake 00:18:19.480 --> 00:18:21.859 that gets stronger when you pull? Revealing how 00:18:21.859 --> 00:18:25.059 physical forces impact cellular decisions. Amazing 00:18:25.059 --> 00:18:27.680 stuff. Okay, finally in this section, let's touch 00:18:27.680 --> 00:18:31.240 on GPCR signaling. G -protein coupled receptors. 00:18:31.519 --> 00:18:33.740 Huge class of drug targets. Absolutely massive. 00:18:33.920 --> 00:18:36.279 Involved in almost everything. Mediating responses 00:18:36.279 --> 00:18:39.440 to hormones, neurotransmitters, senses. And a 00:18:39.440 --> 00:18:41.400 huge percentage of drugs target them. Around 00:18:41.400 --> 00:18:44.119 30, 40 percent, yeah. So understanding them is 00:18:44.119 --> 00:18:46.279 critical for medicine. And Garcia's lab made 00:18:46.279 --> 00:18:48.920 breakthroughs here too. especially with protein 00:18:48.920 --> 00:18:51.599 ligand. They did! In 2015, they reported the 00:18:51.599 --> 00:18:55.019 structure of a viral GPCR, U .S. 28, bound to 00:18:55.019 --> 00:18:58.980 its chemokine ligand, fractokin. Now visualizing 00:18:58.980 --> 00:19:01.960 a protein ligand bound to a GPCR, that was a 00:19:01.960 --> 00:19:04.619 major achievement. GPCRs are tricky enough to 00:19:04.619 --> 00:19:06.559 crystallize on their own, let alone with big 00:19:06.559 --> 00:19:08.880 flexible protein partners. So what did that structure 00:19:08.880 --> 00:19:12.079 reveal? A cool two -part mechanism. The globular 00:19:12.079 --> 00:19:15.460 head of fractokine docks onto the GPCR's extracellular 00:19:15.460 --> 00:19:18.559 loops, but then its flexible N -terminal tail 00:19:18.559 --> 00:19:21.059 actually threads down into a cavity in the center 00:19:21.059 --> 00:19:23.539 of the GPCR. Breading into the receptor. Yeah, 00:19:23.680 --> 00:19:26.480 like feeding a string into a hole. And this threading 00:19:26.480 --> 00:19:29.180 seemed to fine -tune the signaling output controlling 00:19:29.180 --> 00:19:31.769 the specific message sent inside the cell. And 00:19:31.769 --> 00:19:34.390 this led to deeper insights about GPCR activation 00:19:34.390 --> 00:19:36.809 in general. It did. More recent work from the 00:19:36.809 --> 00:19:40.089 lab, using engineered biased ligands, ones designed 00:19:40.089 --> 00:19:42.890 to push signaling down one path versus another, 00:19:43.289 --> 00:19:45.549 showed something really fundamental. It suggested 00:19:45.549 --> 00:19:48.130 that GPCR activation might be governed less by 00:19:48.130 --> 00:19:50.630 highly specific chemical bonds, the traditional 00:19:50.630 --> 00:19:53.609 key and lock idea, and more by ligands inducing 00:19:53.609 --> 00:19:56.609 specific shape changes or conformational shifts 00:19:56.609 --> 00:19:59.609 in the receptor. Ah, the dance move idea. Exactly. 00:19:59.670 --> 00:20:01.740 It shifts how we think about designing drugs. 00:20:02.039 --> 00:20:04.019 Maybe it's not just about finding a key that 00:20:04.019 --> 00:20:06.779 fits, but finding a molecule that makes a receptor 00:20:06.779 --> 00:20:09.900 adopt the right shape, the right dynamic conformation 00:20:09.900 --> 00:20:12.220 to get the desired therapeutic effect. A much 00:20:12.220 --> 00:20:14.559 more dynamic view of drug design. And potentially 00:20:14.559 --> 00:20:17.279 much more powerful for creating specific, effective 00:20:17.279 --> 00:20:19.420 drugs with fewer side effects. Okay, so we've 00:20:19.420 --> 00:20:22.519 seen all this incredible fundamental work visualizing 00:20:22.519 --> 00:20:26.680 T cells, decoding cytokines, Wentz, Notch, GPCRs. 00:20:26.980 --> 00:20:29.660 But what does it all mean for, you know, actual 00:20:29.660 --> 00:20:32.859 patients? Right, the translational impact. These 00:20:32.859 --> 00:20:35.400 insights aren't just for textbooks. They're fueling 00:20:35.400 --> 00:20:38.660 new ways to treat really tough diseases. Let's 00:20:38.660 --> 00:20:41.460 focus on cancer immunotherapy, where his work 00:20:41.460 --> 00:20:44.380 has clearly had a huge impact. Definitely a major 00:20:44.380 --> 00:20:47.099 area. His lab has made key contributions there, 00:20:47.359 --> 00:20:49.779 turning that structural understanding into potential 00:20:49.779 --> 00:20:54.000 therapies. Like the CD47 work. Exactly. Back 00:20:54.000 --> 00:20:57.279 in 2013, they developed high affinity antagonists 00:20:57.279 --> 00:21:00.579 for CD47. That's the don't eat me signal that 00:21:00.579 --> 00:21:02.940 cancer cells use to hide from the immune system's 00:21:02.940 --> 00:21:05.400 macrophages. So these antagonists block that 00:21:05.400 --> 00:21:08.019 signal. Right. They essentially unmask the cancer 00:21:08.019 --> 00:21:10.380 cells, allowing immune cells like macrophages 00:21:10.380 --> 00:21:12.700 to see them and attack, especially enhancing 00:21:12.700 --> 00:21:15.559 the effect of other therapeutic antibodies. But 00:21:15.559 --> 00:21:17.900 then came a really crucial follow up insight. 00:21:18.470 --> 00:21:20.630 Garcia's team found that the best therapeutic 00:21:20.630 --> 00:21:24.190 effects of blocking CD47 actually require combination 00:21:24.190 --> 00:21:26.430 therapy. Meaning you need to combine it with 00:21:26.430 --> 00:21:28.569 checkpoint blockade antibodies, the ones like 00:21:28.569 --> 00:21:30.829 anti -PD -1 that take the breaks off T cells, 00:21:31.269 --> 00:21:33.269 especially in a host with a working immune system. 00:21:33.910 --> 00:21:36.109 Ah, so CD47 blockade isn't enough on its own. 00:21:36.240 --> 00:21:39.000 It seems it works best by stimulating the adaptive 00:21:39.000 --> 00:21:42.039 immune system, the T cells. It synergizes with 00:21:42.039 --> 00:21:44.380 the checkpoint blockade. It's not a standalone 00:21:44.380 --> 00:21:47.119 fix, but a powerful part of a broader immune 00:21:47.119 --> 00:21:49.660 activation strategy. It connects right back to 00:21:49.660 --> 00:21:51.359 T cell biology. Oh, that makes sense. It's about 00:21:51.359 --> 00:21:53.400 a multi -pronged attack. And they've also worked 00:21:53.400 --> 00:21:55.539 on engineering the immune cells themselves. They 00:21:55.539 --> 00:21:58.500 created something called an orthogonal IL -2 00:21:58.500 --> 00:22:01.920 receptor complex. Orthogonal. Meaning it's a 00:22:01.920 --> 00:22:05.420 synthetic receptor that only responds to a modified 00:22:05.420 --> 00:22:08.799 synthetic version of IL -2, not the natural kind. 00:22:08.900 --> 00:22:11.339 Why is that useful? It allows selective delivery 00:22:11.339 --> 00:22:14.400 of that potent IL -2 signal only to the engineered 00:22:14.400 --> 00:22:16.619 T cells you're using for therapy, like Socar 00:22:16.619 --> 00:22:20.039 T cells. Natural IL -2 can cause widespread side 00:22:20.039 --> 00:22:22.759 effects because it activates lots of cells. This 00:22:22.759 --> 00:22:25.869 orthogonal system targets the boost Just to the 00:22:25.869 --> 00:22:28.009 cancer -fighting cells? Minimizing side effects, 00:22:28.309 --> 00:22:31.190 maximizing the punch. Precisely. Safer and potentially 00:22:31.190 --> 00:22:33.349 more effective. And one more thing in this area, 00:22:33.549 --> 00:22:36.289 their technology using yeast -displayed peptide 00:22:36.289 --> 00:22:39.670 MHCs to identify tumor antigens recognized by 00:22:39.670 --> 00:22:42.430 TILs, those tumor -infiltrating lymphocytes. 00:22:42.690 --> 00:22:44.890 We touched on this earlier, finding out what 00:22:44.890 --> 00:22:47.029 the T cells in the tumor are actually targeting. 00:22:47.150 --> 00:22:50.029 Exactly. It's like finding the specific flags 00:22:50.029 --> 00:22:52.630 on the tumor that the patient's own immune system 00:22:52.630 --> 00:22:55.190 is trying to attack. Which is like giving the 00:22:55.190 --> 00:22:57.410 immune cells a highly specialized map, right, 00:22:57.589 --> 00:23:00.190 to find and destroy the cancer cells more effectively. 00:23:00.349 --> 00:23:03.069 That's a great analogy. Identify the unique flags, 00:23:03.450 --> 00:23:06.230 then engineer T cells or therapies to go straight 00:23:06.230 --> 00:23:09.410 for those targets, revolutionizing precision 00:23:09.410 --> 00:23:12.990 immunotherapy. And beyond the academic lab, Garcia 00:23:12.990 --> 00:23:15.430 has been directly involved in translating these 00:23:15.430 --> 00:23:18.009 discoveries through biotech companies. Yes, he's 00:23:18.009 --> 00:23:20.349 taken that entrepreneurial step. He's a co -founder 00:23:20.349 --> 00:23:23.009 of several companies. Which ones? Elixir Therapeutics, 00:23:23.069 --> 00:23:26.809 focusing on immune checkpoints like CD47, Serosin, 00:23:26.910 --> 00:23:28.930 which is working on regenerative medicines by 00:23:28.930 --> 00:23:31.549 targeting one -inch signaling direct link there, 00:23:31.849 --> 00:23:35.950 and 3T Biosciences, developing novel T cell receptor 00:23:35.950 --> 00:23:39.450 -based immunotherapies, leveraging his deep expertise 00:23:39.450 --> 00:23:42.529 in TCRs and antigen discovery. So these companies 00:23:42.529 --> 00:23:44.730 are directly trying to bring his lab science 00:23:44.730 --> 00:23:47.339 to the clinic. Absolutely. It demonstrates that 00:23:47.339 --> 00:23:50.819 full circle from basic structural insight deep 00:23:50.819 --> 00:23:54.160 in the lab all the way to potential patient benefit. 00:23:54.380 --> 00:23:56.920 It really underscores his commitment to making 00:23:56.920 --> 00:23:59.200 sure this knowledge gets applied to improve human 00:23:59.200 --> 00:24:02.019 health. Truly inspiring to see that bridge built 00:24:02.019 --> 00:24:04.940 so effectively from fundamental discovery to 00:24:04.940 --> 00:24:08.180 tangible impact. Now, with all this intense scientific 00:24:08.180 --> 00:24:10.220 work, you might think there's no time for anything 00:24:10.220 --> 00:24:13.180 else. But let's quickly acknowledge the recognition 00:24:13.180 --> 00:24:15.539 he's received. It signals the impact, right? 00:24:16.140 --> 00:24:18.039 Definitely. He was elected to the National Academy 00:24:18.039 --> 00:24:20.640 of Sciences in 2012. And the National Academy 00:24:20.640 --> 00:24:23.559 of Medicine in 2016. Prestigious honors, plus 00:24:23.559 --> 00:24:27.220 the Pisano Award recently in 2024. And earlier 00:24:27.220 --> 00:24:29.980 awards like Pew Scholar, Keck Distinguished Medical 00:24:29.980 --> 00:24:32.500 Scholar. Clear signs of his influence. Yeah, 00:24:32.680 --> 00:24:34.900 recognized early on for his potential and consistently 00:24:34.900 --> 00:24:36.519 delivering. What's also fascinating, I think, 00:24:36.599 --> 00:24:38.740 is how that kind of dedication and rigor often 00:24:38.740 --> 00:24:41.660 shows up elsewhere in life. It takes incredible 00:24:41.660 --> 00:24:43.730 endurance and focus to do this kind of. science 00:24:43.730 --> 00:24:46.349 for decades. And apparently, Garcia channels 00:24:46.349 --> 00:24:49.609 that same drive into competitive long -distance 00:24:49.609 --> 00:24:51.890 running. Really? How competitive? Well, according 00:24:51.890 --> 00:24:55.329 to reports, he's run more than 120 ultramarathons, 00:24:55.470 --> 00:24:58.990 including several 100 -mile races. 100 miles. 00:24:59.089 --> 00:25:02.710 Wow. That's unbelievable endurance. Isn't it? 00:25:02.809 --> 00:25:04.670 You know, that discipline, that perseverance, 00:25:05.069 --> 00:25:07.549 the strategic thinking you need for an ultramarathon, 00:25:07.990 --> 00:25:10.869 it absolutely resonates with the sustained effort 00:25:10.869 --> 00:25:14.369 and meticulous planning needed for decades of 00:25:14.369 --> 00:25:16.150 groundbreaking science. There's definitely a 00:25:16.150 --> 00:25:17.990 parallel there, pushing boundaries. Yeah, pushing 00:25:17.990 --> 00:25:19.730 boundaries, both physically and intellectually. 00:25:20.559 --> 00:25:24.160 that relentless drive overcoming obstacles, whether 00:25:24.160 --> 00:25:26.279 it's a tough crystallization problem or mile 00:25:26.279 --> 00:25:28.960 80 of a race, it kind of encapsulates his whole 00:25:28.960 --> 00:25:31.559 approach, doesn't it? Hashtag tag tag outro. 00:25:33.400 --> 00:25:35.740 And that really brings us to the end of our deep 00:25:35.740 --> 00:25:38.319 dive today into the incredible career of K. Christopher 00:25:38.319 --> 00:25:40.339 Garcia. We've journeyed through this amazing 00:25:40.339 --> 00:25:42.980 molecular world, seeing how he uniquely blends 00:25:42.980 --> 00:25:46.240 structural biology, biochemistry, protein engineering. 00:25:46.720 --> 00:25:48.940 His genius seems to be in visualizing and then 00:25:48.940 --> 00:25:50.819 truly understanding how cells communicate at 00:25:50.819 --> 00:25:52.599 the most fundamental level. From those first 00:25:52.599 --> 00:25:55.500 pictures of TCRs engaging antigens, which changed 00:25:55.500 --> 00:25:58.309 immunology. right, to decoding cytokines, went 00:25:58.309 --> 00:26:02.049 notch GPCRs. His work hasn't just advanced fields, 00:26:02.329 --> 00:26:04.450 it's genuinely transformed our understanding 00:26:04.450 --> 00:26:08.119 of immunity development disease. And it's paved 00:26:08.119 --> 00:26:10.480 the way for therapies that are already making 00:26:10.480 --> 00:26:12.559 a difference. You know, it raises that important 00:26:12.559 --> 00:26:14.900 question about the ultimate value of structural 00:26:14.900 --> 00:26:17.279 biology. When you can see the architecture of 00:26:17.279 --> 00:26:19.359 these interactions, understand the shapes, how 00:26:19.359 --> 00:26:22.059 they fit, how they move, you gain the power not 00:26:22.059 --> 00:26:24.319 just to understand disease, but to rationally 00:26:24.319 --> 00:26:26.579 engineer solutions. Moving from just observing 00:26:26.579 --> 00:26:29.160 to actually designing. Exactly. It's molecular 00:26:29.160 --> 00:26:31.460 design at its most fundamental level, driven 00:26:31.460 --> 00:26:34.700 by deep insight into life's machinery. It's the 00:26:34.700 --> 00:26:36.819 blueprint for building the medicines of the future. 00:26:37.019 --> 00:26:41.160 Absolutely. So as you go about your day, maybe 00:26:41.160 --> 00:26:43.660 just take a second to consider that almost unimaginable 00:26:43.660 --> 00:26:45.819 complexity inside every single cell in your body. 00:26:46.359 --> 00:26:48.099 And think about how understanding these fundamental 00:26:48.099 --> 00:26:50.460 interactions like Garcia has done isn't just 00:26:50.460 --> 00:26:52.859 intellectually satisfying. It unlocks possibilities 00:26:52.859 --> 00:26:54.759 for health and healing we couldn't have dreamed 00:26:54.759 --> 00:26:58.279 of before. It turns mysteries into solvable problems. 00:26:58.960 --> 00:27:01.349 So How much more deep diving is left for us to 00:27:01.349 --> 00:27:03.349 do? What other hidden structures, what other 00:27:03.349 --> 00:27:05.309 molecular dances are just waiting to be revealed, 00:27:05.670 --> 00:27:08.049 holding the keys to future cures? Or maybe just 00:27:08.049 --> 00:27:10.470 a deeper appreciation for life itself? Thank 00:27:10.470 --> 00:27:11.869 you for joining us on the Deep Dive.