WEBVTT - Spike

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<v Speaker 1>School of Humans. In nineteen sixty six, an outbreak of

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<v Speaker 1>respiratories and sicial virus spread through Washington DC. RSV is

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<v Speaker 1>a highly contagious virus that usually pops up in the

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<v Speaker 1>colder months. It can block the airways of infants and

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<v Speaker 1>cause pneumonia in older adults. Tens of millions of people

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<v Speaker 1>get sick from it every year, and thousands die. To

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<v Speaker 1>stop those deaths, a team at the National Institutes of

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<v Speaker 1>Health created some RSV vaccines and tested them in babies,

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<v Speaker 1>mostly babies from poor black families. The trial went badly,

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<v Speaker 1>really badly. Dozens of infants got a new RSV vaccine,

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<v Speaker 1>and not only did the vaccine not protect them from

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<v Speaker 1>the virus, it actually seemed to expose them to graver sickness.

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<v Speaker 1>So the vaccinated babies who caught RSV fared worse than

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<v Speaker 1>those who got no vaccine at all. Eighteen of those

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<v Speaker 1>kids ended up in the hospital and two of them die.

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<v Speaker 1>As far as vaccine trials go, it was a total disaster.

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<v Speaker 1>It's a cruel irony of vaccine development that those two

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<v Speaker 1>kids deaths fifty years ago indirectly led to one of

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<v Speaker 1>the greatest successes in the history of modern drugs. The

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<v Speaker 1>COVID nineteen vaccines, the single biggest breakthrough in coronavirus vaccine research,

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<v Speaker 1>was inspired by scientists who wanted to protect kids from RSV,

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<v Speaker 1>and because of that work, they figured out how to

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<v Speaker 1>make a vaccine for coronavirus two years before the first

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<v Speaker 1>case of COVID nineteen. In this episode, we're going to

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<v Speaker 1>get a little technical on you, but it's necessary in

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<v Speaker 1>order to get to the heart of how these vaccines work.

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<v Speaker 1>From iHeartRadio and School of Humans, I'm Sean Revive and

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<v Speaker 1>this is long shot. Yeah, people want, you know, they

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<v Speaker 1>want to see smoking vessels of like Purvalla, but you know,

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<v Speaker 1>by all just for not chemists. That's Jason McClellan. He

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<v Speaker 1>works at the University of Texas in Austin, and he's

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<v Speaker 1>telling us that his office isn't as exciting as visitors

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<v Speaker 1>might think. I mean, when people come to visit, we

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<v Speaker 1>add food, gallering and things because they want to see yellow.

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<v Speaker 1>But like everything the work of his water, it's like biological.

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<v Speaker 1>I'm in Austin, Texas, at the University of Texas. I'm

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<v Speaker 1>in one of the departments called a Molecular Biosciences department.

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<v Speaker 1>I'm a structural biologist. Structural biologists zoom a way in

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<v Speaker 1>on large molecules or groups of molecules and figure out

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<v Speaker 1>how their parts are put together and why they work

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<v Speaker 1>the way they do. They spend a lot of time

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<v Speaker 1>looking at proteins, which play a ton of roles in

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<v Speaker 1>the body of humans and other living things. Proteins help

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<v Speaker 1>you grow, digest food, fight disease, stay energized. They also

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<v Speaker 1>help bind cells together and transport nutrients. Some hormones like insulin,

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<v Speaker 1>are proteins. Antibodies are proteins, Enzymes are proteins. Hemoglobin, which

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<v Speaker 1>is the dominant component of our blood, is a protein.

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<v Speaker 1>Structural biologists like Jason want to know exactly what proteins

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<v Speaker 1>look like. Without the structures, we don't really know what

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<v Speaker 1>these proteins look like. We draw them as ovals or squares.

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<v Speaker 1>But once we determine their structures, we're able to like

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<v Speaker 1>three D print the actual molecule essentially and know where

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<v Speaker 1>every amino acids is located on the protein, how the

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<v Speaker 1>proteins fold The structure leads to function. So by understanding

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<v Speaker 1>the structure, we know something about how the protein works.

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<v Speaker 1>And if you know how proteins work and how they look.

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<v Speaker 1>You can figure out ways to alter them, change amino acids,

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<v Speaker 1>maybe make the protein more stable, or chop off some parts.

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<v Speaker 1>We don't want to try to make them the best

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<v Speaker 1>possible vaccine antigens. Understanding what specific proteins do is the

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<v Speaker 1>key to the COVID vaccines. But it's not like Jason

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<v Speaker 1>went to college and majored in proteins. Oh, it was

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<v Speaker 1>a kind of winding path, I guess. I went to

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<v Speaker 1>college Wayne State University in Detroit, Michigan. I wanted to

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<v Speaker 1>do pre med and be a doctor. Most I was

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<v Speaker 1>just trying to think of things I could do to

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<v Speaker 1>help people. But early on I realized I really liked chemistry.

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<v Speaker 1>Was quick good at chemistry, so I went to graduate school.

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<v Speaker 1>I've learned a technique called X ray crystallography, and that's

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<v Speaker 1>one of the methods for determining structures of proteins. But

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<v Speaker 1>ultimately I wanted to do a bit more than just

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<v Speaker 1>determine destructures. I wanted to try to have some applied

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<v Speaker 1>research to create things that could end up going into

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<v Speaker 1>humans and improve human health. Around two thousand and eight,

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<v Speaker 1>Jason heard about a guy at the NIH doing a

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<v Speaker 1>lot of cool stuff with HIV, looking closely at the

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<v Speaker 1>virus's structure and trying to design a vaccine. He joined

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<v Speaker 1>the lab there, and while at the NAH he ended

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<v Speaker 1>up working with a doctor and virologist named Barney Graham,

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<v Speaker 1>a world expert on RSV. The RSV vaccine that failed

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<v Speaker 1>back the sixties was made by weakening a strain of

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<v Speaker 1>the virus by passing it through animal tissue or human cells.

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<v Speaker 1>That's the way the great vaccine creators of the past,

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<v Speaker 1>like Maurice Hilleman made their vaccines. Jason and doctor Graham

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<v Speaker 1>wanted to create a vaccine in a totally different way.

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<v Speaker 1>They wanted to manipulate a specific protein of the RSV virus,

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<v Speaker 1>the one the virus uses to infect human cells. It's

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<v Speaker 1>called the f protein f as in fudge, and it

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<v Speaker 1>comes in two forms or a scientists say two confirmations,

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<v Speaker 1>prefusion and post fusion. Here's Jason to explain more. Proteins

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<v Speaker 1>exist in some initial confirmation on the surface of the virus.

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<v Speaker 1>That's what we call the prefusion confirmation. Then there's an

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<v Speaker 1>event that causes the protein to begin refolding and rearranging,

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<v Speaker 1>much like a transformer, going from a car to a robot.

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<v Speaker 1>Parts of it, parts of the protein, just start moving

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<v Speaker 1>and refolding, and it ends up forming an intermediate confirmation

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<v Speaker 1>where it's part of the protein into our host cell membrane.

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<v Speaker 1>That's pretty confusing, so let's try and visualize it. There's

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<v Speaker 1>a virus cell and a human cell. We'll picture them

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<v Speaker 1>as tennis balls. The virus tennis ball has its protein

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<v Speaker 1>on its surface, sort of shape like a cone or

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<v Speaker 1>a stubby mushroom stalk. That's its f protein. So the

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<v Speaker 1>virus tennis ball looks for human tennis balls in the body,

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<v Speaker 1>and when it finds one, here's what happens. The mushroom

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<v Speaker 1>stalk stretches and elongates and attaches itself to the human

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<v Speaker 1>tennis ball. So it's like a bridge between the two

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<v Speaker 1>tennis balls, human and virus. So it's stock between the

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<v Speaker 1>host cell membrane and the viral membrane. The membrane of

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<v Speaker 1>a cell is like its skin. It separates the inside

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<v Speaker 1>of the cell from whatever is on the outside, and

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<v Speaker 1>then it bends back around like a hairpin to bring

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<v Speaker 1>the two membranes together, and then it adopts this final

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<v Speaker 1>state called the postfusion state. So after the stock on

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<v Speaker 1>the virus tennis ball has elongated and attached itself to

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<v Speaker 1>the human tennis ball, it folds itself in half in

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<v Speaker 1>order to bring the two tennis balls together. That's the fusion.

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<v Speaker 1>And so when the f protein has already elongated and

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<v Speaker 1>then folded, it's in its postfusion form. By then it's

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<v Speaker 1>too late. You want to teach your body to fight

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<v Speaker 1>the prefusion form before the mushroom stock has folded and

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<v Speaker 1>attached to the human cell. And so, if you think

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<v Speaker 1>of your immune system as a security guard, you want

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<v Speaker 1>to train your immune system to recognize the form that

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<v Speaker 1>might impact you, like the dangerous form, and that's the

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<v Speaker 1>prefusion form. If you train it to recognize the postfusion form,

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<v Speaker 1>the prefusion form can still sneak by you. So in

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<v Speaker 1>order to train the immune system to recognize the prefusion

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<v Speaker 1>form of rsv F proteins, Jason needed to keep the

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<v Speaker 1>proteins in their prefusion unfolded form. But that isn't easy.

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<v Speaker 1>First of all, rsv F proteins really want to go

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<v Speaker 1>into their post fusion form. Second, proteins are tiny. It's

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<v Speaker 1>not like they could go in with tweezers and hold

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<v Speaker 1>the F protein in place. The F protein has a

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<v Speaker 1>molecular mass of fifty seven point four kilo daltons, which

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<v Speaker 1>means it's weight in Grahams has twenty one zeros. After

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<v Speaker 1>the decimal point, it's really difficult to see what they

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<v Speaker 1>look like, much less alter their behavior. And nobody could

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<v Speaker 1>figure out how do we create a form of the

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<v Speaker 1>prefusion molecule that will stay in the prefusion shape and

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<v Speaker 1>allow us to purify it and inject it into evil.

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<v Speaker 1>But in twenty thirteen they had a breakthrough. They were

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<v Speaker 1>finally able to determine the exact structure of the prefusion

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<v Speaker 1>form of the rsv F protein. Plus they figured out

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<v Speaker 1>how to keep it in that form, how to keep

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<v Speaker 1>it from elongating, and we could start making changes like

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<v Speaker 1>adding in little molecular staples to link two regions together

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<v Speaker 1>so that we the one part couldn't pull away from

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<v Speaker 1>the other. And that work. We were eventually able to

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<v Speaker 1>make four different changes to the protein that really locked

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<v Speaker 1>it in the prefusion confirmation and allowed its use as

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<v Speaker 1>a vaccine antigen. Basically, they discovered how a sort of

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<v Speaker 1>staple the mushroom stock in place, and when Barney immunized

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<v Speaker 1>mice and compared postfusion versus prefusion, the mice receiving the

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<v Speaker 1>prefusion form of the F protein elicited neutralizing antibodies about

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<v Speaker 1>ten times higher than those that received the postfusion This

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<v Speaker 1>is huge. This was the first time structural biology had

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<v Speaker 1>helped discover a new way to stop a virus. Science

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<v Speaker 1>magazine called it one of the top ten breakthroughs of

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<v Speaker 1>twenty thirteen, and their success in stabilizing the F protein

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<v Speaker 1>made them want to try the same process with other

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<v Speaker 1>similar viruses. What else could we take this new approach,

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<v Speaker 1>the structure based approach, and apply to what other pathogens

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<v Speaker 1>are important? And that was around the time that the

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<v Speaker 1>MIRS coronavirus had emerged in the Saudi Arabia and the

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<v Speaker 1>Middle East. That's Middle East respiratory syndrome, which is caused

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<v Speaker 1>by a coronavirus called MRS Covey. The disease was first

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<v Speaker 1>reported in Saudi Arabia in twenty twelve. It causes bad

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<v Speaker 1>respiratory illness, fever, cough, shortness of breath, and it can

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<v Speaker 1>eventually kill you with pneumonia and kidney failure. Even today,

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<v Speaker 1>there are still cases that pop up on occasion. Thirty

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<v Speaker 1>five percent of people infected with it were dying. It's

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<v Speaker 1>a real lethal virus, and we thought that this would

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<v Speaker 1>be a good target to try to take everything we

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<v Speaker 1>had just learned about RSV and apply it to not

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<v Speaker 1>just mers, but coronaviruses in general, because we knew Stars

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<v Speaker 1>coronavirus had emerged in China in two thousand and two

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<v Speaker 1>and it caused an epidemic. Remember Eddie Holmes spoke about

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<v Speaker 1>the First Stars in episode one. I realized is that

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<v Speaker 1>raccoon dogs. They were implicated in the First Stars I

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<v Speaker 1>break of two thousand and two two thousand and three

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<v Speaker 1>because they were positive. First came Stars one, then came

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<v Speaker 1>Mrs Here's Jason again, and then ten years later we

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<v Speaker 1>saw Mirrors emerge. We felt like maybe we were on

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<v Speaker 1>a ten year cycle or something where we keep having

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<v Speaker 1>coronaviruses emerge into the human population, and so we wanted

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<v Speaker 1>to figure out how can we do structure based vaccine

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<v Speaker 1>design or coronaviruses to make the best possible vaccine antigens.

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<v Speaker 1>Jason and Barney Graham wanted to use their ability to

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<v Speaker 1>zoom in on viruses and their ability to play around

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<v Speaker 1>with them to make better vaccines. Since Mrs Covey was

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<v Speaker 1>on their radar, they focus on that virus MERS has

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<v Speaker 1>a protein very similar to the F protein of RSV.

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<v Speaker 1>It's called the spike protein. The spike protein acts pretty

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<v Speaker 1>similarly to the F protein, it just has this additional part.

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<v Speaker 1>If you're thinking about the F protein as a mushroom stock,

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<v Speaker 1>the spike protein is kind of like a full mushroom

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<v Speaker 1>with a cap. When attacking a human cell, the cap

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<v Speaker 1>of the spike protein binds to a certain enzyme on

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<v Speaker 1>the surface of the human cell. The enzyme is called

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<v Speaker 1>the ACE two receptor. The ACE two receptor sort of

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<v Speaker 1>pops off the spike protein's cap, and then the spike

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<v Speaker 1>protein stalk does all the things the F protein does.

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<v Speaker 1>Based on decades of literature, for many researchers, it was

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<v Speaker 1>clear that the spike protein is a key component of

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<v Speaker 1>any vaccine because when humans are infected with coronaviruses, they

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<v Speaker 1>make a large antibody response to the spike protein because

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<v Speaker 1>it's really that that's the major protein on the surface

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<v Speaker 1>of the of the virus. So we know we needed

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<v Speaker 1>to use spike protein as the vaccine but we also

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<v Speaker 1>know that the spike protein can change shapes and isn't

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<v Speaker 1>so stable, so then you know what form do you

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<v Speaker 1>want to use. Our previous work, it's shown that what

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<v Speaker 1>you really want to immunize with is a prefusion stabilized

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<v Speaker 1>form that that can't change shape. So that way we

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<v Speaker 1>train our immune system to recognize the shape of the

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<v Speaker 1>spike protein as it exists on the surface of the virus.

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<v Speaker 1>So with coronavirus, they knew they wanted to stabilize the

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<v Speaker 1>spike protein, the key protein on its surface. They wanted

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<v Speaker 1>to make sure it did not elongate. The spike protein

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<v Speaker 1>was pretty unstable. Its stock was liable to elongate and

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<v Speaker 1>go to post fusion form on the drop of a dime,

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<v Speaker 1>and they had trouble even seeing its structure. To make

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<v Speaker 1>it easier, they switched to another virus, one that we've

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<v Speaker 1>all gotten, HKU one. That's one of the four coronaviruses

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<v Speaker 1>that we've probably all been infected with. It's one of

0:13:35.125 --> 0:13:38.965
<v Speaker 1>the many causes of the common cold. And for whatever reason,

0:13:39.725 --> 0:13:42.605
<v Speaker 1>the spike protein from HK one was actually pretty stable

0:13:42.965 --> 0:13:47.645
<v Speaker 1>and it was amenable to the structured determination efforts, and

0:13:48.045 --> 0:13:50.725
<v Speaker 1>we brought in another group, doctor Andrew Ward's group at

0:13:50.765 --> 0:13:55.125
<v Speaker 1>the Script's Research Institute. He's an expert in cryoelectron microscopy,

0:13:55.445 --> 0:13:57.565
<v Speaker 1>and working together they were able to get that first

0:13:57.605 --> 0:14:02.405
<v Speaker 1>structure of a human coronavirus spike protein in the prefusion shapes.

0:14:02.485 --> 0:14:05.125
<v Speaker 1>Now we had our first blueprint to start making changes

0:14:05.485 --> 0:14:11.285
<v Speaker 1>tweaks to stabilize spike proteins of coronaviruses. Using this blueprint,

0:14:11.805 --> 0:14:14.645
<v Speaker 1>Jason's post duc Nian Chung Wang look closely at the

0:14:14.685 --> 0:14:20.685
<v Speaker 1>mirror structure here, he is, it's actually pretty boy, but

0:14:20.765 --> 0:14:24.485
<v Speaker 1>it's also increasing. Why is it boring and why is

0:14:24.485 --> 0:14:30.125
<v Speaker 1>it interesting? Is that we got to try okay and

0:14:30.325 --> 0:14:34.045
<v Speaker 1>again most of the time it's got to feel yeah,

0:14:34.085 --> 0:14:37.245
<v Speaker 1>it's not that too easy. Nianshuang tested more than one

0:14:37.285 --> 0:14:40.685
<v Speaker 1>hundred different mutations to the spike protein until finally coming

0:14:40.725 --> 0:14:44.205
<v Speaker 1>across two changes that stabilized it, that kept the spike

0:14:44.245 --> 0:14:47.365
<v Speaker 1>in its pre fusion form, and it was really stable.

0:14:47.685 --> 0:14:50.685
<v Speaker 1>It stayed all in the pre fusion shape. What was

0:14:50.725 --> 0:14:53.405
<v Speaker 1>exciting is that the region where we made these changes

0:14:53.605 --> 0:14:57.685
<v Speaker 1>is very similar between different coronavirus spikes, So the same

0:14:57.765 --> 0:15:02.645
<v Speaker 1>changes we could also introduce them into stars. Kobe from

0:15:02.685 --> 0:15:05.645
<v Speaker 1>two thousand and two, and that led to stabilization. So

0:15:05.725 --> 0:15:08.845
<v Speaker 1>my twenty seventeen we really had this method, kind of

0:15:08.845 --> 0:15:13.205
<v Speaker 1>a universal method for stabilizing data coronavirus spikes in their

0:15:13.245 --> 0:15:17.045
<v Speaker 1>prefusion confirmation. But there was one problem with their success

0:15:17.085 --> 0:15:23.085
<v Speaker 1>stabilizing the MERS spike protein. Nobody really cared. It flew

0:15:23.085 --> 0:15:25.765
<v Speaker 1>away under the radar because by then it was evident

0:15:25.805 --> 0:15:29.765
<v Speaker 1>that MERS, as dangerous as it was, didn't spread very easily.

0:15:30.645 --> 0:15:33.365
<v Speaker 1>A few people were getting MERS a vaccine for it

0:15:33.405 --> 0:15:38.205
<v Speaker 1>didn't seem super important. Yeah, it's kind of painful. At

0:15:38.205 --> 0:15:42.845
<v Speaker 1>that time, most coronavirus at that time was not considered

0:15:42.765 --> 0:15:47.125
<v Speaker 1>a big issue because there are few our cases, so

0:15:47.245 --> 0:15:52.125
<v Speaker 1>people didn't pay matt attention on that kind of coronavirus.

0:15:53.045 --> 0:15:55.725
<v Speaker 1>Although their work didn't get much attention, they knew they

0:15:55.765 --> 0:15:58.565
<v Speaker 1>had a vaccine technology ready to be put into action.

0:15:59.485 --> 0:16:02.765
<v Speaker 1>By twenty seventeen, they were prepared to test their stabilizing

0:16:02.805 --> 0:16:07.205
<v Speaker 1>spike protein method on another coronavirus. They just needed an outbreak.

0:16:08.885 --> 0:16:12.525
<v Speaker 1>And then two years later we found out in the

0:16:12.565 --> 0:16:15.765
<v Speaker 1>beginning of twenty twenty that this new virus that was

0:16:15.805 --> 0:16:20.165
<v Speaker 1>causing pneumonia outbreaks in Wuhan China was a coronavirus and

0:16:20.365 --> 0:16:23.765
<v Speaker 1>very similar to Stars Kobe Ie. They'd finally have a

0:16:23.845 --> 0:16:26.045
<v Speaker 1>chance to test out the spike protein in real life,

0:16:26.725 --> 0:16:30.885
<v Speaker 1>but a big question remained, would it work in people.

0:16:35.245 --> 0:16:37.885
<v Speaker 1>Jason and his team spent years figuring out how to

0:16:37.965 --> 0:16:40.445
<v Speaker 1>keep a spike protein stable and use that to make

0:16:40.445 --> 0:16:43.445
<v Speaker 1>a new kind of vaccine, but they needed an outbreak

0:16:43.645 --> 0:16:46.525
<v Speaker 1>to test it on real people infected by a coronavirus.

0:16:47.805 --> 0:16:50.245
<v Speaker 1>Then all of a sudden, they have a real time

0:16:50.245 --> 0:16:53.685
<v Speaker 1>pandemic crashing down on the world. The reports were coming

0:16:53.685 --> 0:16:57.205
<v Speaker 1>out of these pneumonia clusters in Wuhan. We could just

0:16:57.245 --> 0:16:59.765
<v Speaker 1>see it following along on science, Twitter and on the news,

0:16:59.845 --> 0:17:02.765
<v Speaker 1>and so people were already kind of nervous, especially in

0:17:02.765 --> 0:17:05.245
<v Speaker 1>the coronavirus feel that we could be looking at the

0:17:05.485 --> 0:17:09.445
<v Speaker 1>beginnings of a coronavirus outbreak. And then it was early

0:17:09.525 --> 0:17:12.925
<v Speaker 1>in January when it was learned that in fact, it

0:17:12.965 --> 0:17:16.485
<v Speaker 1>is a coronavirus, a beta coronavirus that's similar to the

0:17:16.805 --> 0:17:20.525
<v Speaker 1>first Stars Kobe from two thousand and two. At this point,

0:17:20.605 --> 0:17:23.005
<v Speaker 1>Jason's working at the University of Texas and he's on

0:17:23.125 --> 0:17:26.365
<v Speaker 1>vacation with his family. Barney Graham called me. He said

0:17:26.525 --> 0:17:29.405
<v Speaker 1>he was in contact with the US CDC Chinese CDC.

0:17:30.205 --> 0:17:33.365
<v Speaker 1>They were going to try and work quickly work with Maderna.

0:17:33.525 --> 0:17:37.005
<v Speaker 1>Maderna was then an upstart company based in Cambridge, Massachusetts

0:17:37.085 --> 0:17:39.405
<v Speaker 1>that had never brought a vaccine to market, but they

0:17:39.485 --> 0:17:42.965
<v Speaker 1>tested several vaccines for other viruses, and Barney Graham had

0:17:42.965 --> 0:17:44.605
<v Speaker 1>a plan to work with them on a bat born

0:17:44.685 --> 0:17:48.485
<v Speaker 1>virus called NIPA, but when the novel coronavirus came along,

0:17:49.125 --> 0:17:52.005
<v Speaker 1>doctor Graham told Maderna they should focus on that instead,

0:17:52.485 --> 0:17:55.685
<v Speaker 1>and he wanted to know if we were interested in

0:17:55.685 --> 0:17:59.285
<v Speaker 1>continuing our collaboration to determine the structure of the stars

0:17:59.325 --> 0:18:03.045
<v Speaker 1>Kobe to spike protein and use that information to create

0:18:03.565 --> 0:18:08.005
<v Speaker 1>the vaccine antigens. Jason texted his graduate student Daniel Rapp

0:18:08.445 --> 0:18:10.045
<v Speaker 1>and told him they were going to be busy the

0:18:10.085 --> 0:18:12.885
<v Speaker 1>next few days. Based on this information, we were sort

0:18:12.885 --> 0:18:15.405
<v Speaker 1>of ready to go. That's Daniel, because we've been studying

0:18:15.445 --> 0:18:17.485
<v Speaker 1>these spike proteins for such a long time. We knew

0:18:17.485 --> 0:18:20.525
<v Speaker 1>how to effectively stabilize spike in the pre fusion confirmation

0:18:20.645 --> 0:18:23.885
<v Speaker 1>and that acts as a really good vaccine candidate, and

0:18:24.125 --> 0:18:25.725
<v Speaker 1>so during that time we were kind of just like

0:18:25.725 --> 0:18:28.605
<v Speaker 1>sitting on our hands, like really anxiously waiting for that

0:18:28.645 --> 0:18:31.325
<v Speaker 1>information to become available to everybody, because that was the

0:18:31.325 --> 0:18:33.725
<v Speaker 1>thing that was holding us back from getting started back

0:18:33.725 --> 0:18:35.245
<v Speaker 1>to Jason, and then we just kind of had to

0:18:35.245 --> 0:18:36.965
<v Speaker 1>wait a couple of these because nothing we could really

0:18:37.005 --> 0:18:39.925
<v Speaker 1>do until the genome sequence became available so we could

0:18:39.925 --> 0:18:42.845
<v Speaker 1>see what the sequence of this spike protein was. On

0:18:42.965 --> 0:18:46.485
<v Speaker 1>January eleventh, a scientist in China made it available for all.

0:18:46.765 --> 0:18:49.325
<v Speaker 1>That was John jen Jang who sent the sequence to

0:18:49.405 --> 0:18:52.765
<v Speaker 1>Eddie Holmes in Australia, who then posted it online. Jason

0:18:52.805 --> 0:18:54.965
<v Speaker 1>got the sequence and started working on a vaccine with

0:18:55.005 --> 0:18:57.965
<v Speaker 1>his team the next day. So what does it actually

0:18:57.965 --> 0:19:01.485
<v Speaker 1>mean to get a virus's genetic sequence. The sequence is

0:19:01.565 --> 0:19:04.085
<v Speaker 1>kind of like it's barcode. You're scanning the letters in

0:19:04.165 --> 0:19:06.405
<v Speaker 1>its genome to figure out actually what it is and

0:19:06.485 --> 0:19:09.005
<v Speaker 1>how it works. It's essentially a file like somebody can

0:19:09.005 --> 0:19:11.605
<v Speaker 1>just you know, it's an attachment, the text file that

0:19:11.685 --> 0:19:14.925
<v Speaker 1>somebody can send us containing the sequence, just a bunch

0:19:14.925 --> 0:19:17.605
<v Speaker 1>of letters, so like computer code. And then we have

0:19:17.605 --> 0:19:19.725
<v Speaker 1>to figure out what changes we want to make very

0:19:19.805 --> 0:19:23.205
<v Speaker 1>quickly just by taking that sequence and aligning it to

0:19:23.325 --> 0:19:26.405
<v Speaker 1>the other spike sequences. We knew right where to put

0:19:26.445 --> 0:19:30.765
<v Speaker 1>the two changes that we had identified earlier, so that

0:19:30.885 --> 0:19:33.125
<v Speaker 1>was probably done within a couple of hours. Just the

0:19:33.165 --> 0:19:37.045
<v Speaker 1>design of these constructs. Remember, Jason's team is looking for

0:19:37.045 --> 0:19:39.045
<v Speaker 1>a way to alter the proteins on the surface of

0:19:39.045 --> 0:19:42.485
<v Speaker 1>the virus so they won't go into that post fusion confirmation.

0:19:43.285 --> 0:19:45.845
<v Speaker 1>The change that Niche Wong and the team had discovered

0:19:45.885 --> 0:19:49.765
<v Speaker 1>working with mers is called the two P mutation. The

0:19:49.885 --> 0:19:53.445
<v Speaker 1>P stands for prolene, one of twenty amino acids that

0:19:53.485 --> 0:19:57.565
<v Speaker 1>are the building blocks of all living things. Proleins are

0:19:57.605 --> 0:20:01.765
<v Speaker 1>special because they're the most rigid amino acid and because

0:20:01.805 --> 0:20:05.325
<v Speaker 1>they are rigid. Swapping out two other amino acids for

0:20:05.605 --> 0:20:08.845
<v Speaker 1>two proteins at a certain joint of the spike protein

0:20:09.645 --> 0:20:13.405
<v Speaker 1>keeps the mushroom stock in place, meaning it keeps it

0:20:13.405 --> 0:20:17.405
<v Speaker 1>in pre fusion form. But Jason and his team couldn't

0:20:17.445 --> 0:20:20.325
<v Speaker 1>just do the two P mutation on the laptop. They

0:20:20.325 --> 0:20:23.965
<v Speaker 1>had to do it in real life. There are companies

0:20:23.965 --> 0:20:26.525
<v Speaker 1>out there that can take a modified genetic sequence like

0:20:26.565 --> 0:20:29.565
<v Speaker 1>the one they designed at UT and turn it into

0:20:29.605 --> 0:20:33.325
<v Speaker 1>something physical. And you need to turn it into a

0:20:33.365 --> 0:20:36.885
<v Speaker 1>biological substance. Like actual DNA. And so that's where we

0:20:36.925 --> 0:20:38.885
<v Speaker 1>need to work with the companies, where we send them

0:20:38.885 --> 0:20:41.765
<v Speaker 1>the file and they're able to synthesize DNA and send

0:20:41.805 --> 0:20:43.285
<v Speaker 1>it send it back to us, and then we have

0:20:43.325 --> 0:20:45.565
<v Speaker 1>to stitch some of it together and do some other things.

0:20:45.685 --> 0:20:47.885
<v Speaker 1>And so in the lab we were working with the DNA.

0:20:48.005 --> 0:20:51.525
<v Speaker 1>When Jason says he's working with DNA, he essentially means

0:20:51.565 --> 0:20:54.765
<v Speaker 1>that they're making changes to genes in order to program

0:20:54.885 --> 0:20:59.405
<v Speaker 1>human cells to produce the stable spike proteins. Remember this

0:20:59.485 --> 0:21:02.405
<v Speaker 1>is the key to the whole vaccine. Our own cells

0:21:02.445 --> 0:21:05.365
<v Speaker 1>will be the factories that produce the stable spike proteins,

0:21:05.845 --> 0:21:09.245
<v Speaker 1>and the DNA is the thing sending those instructions via

0:21:09.325 --> 0:21:14.165
<v Speaker 1>messenger RNA. So that way the cells realized the instructions

0:21:14.165 --> 0:21:17.205
<v Speaker 1>have changed, the recipe has changed, if you will, and

0:21:17.245 --> 0:21:20.525
<v Speaker 1>they just make a protein containing proteins at those positions

0:21:20.605 --> 0:21:24.485
<v Speaker 1>instead of the original amino acids at those positions. I

0:21:24.485 --> 0:21:28.085
<v Speaker 1>think within ten days, maybe a bit more, Nianchwang had

0:21:28.085 --> 0:21:31.885
<v Speaker 1>had cloned like ten different plasmids. Plasmids are like small

0:21:32.005 --> 0:21:36.125
<v Speaker 1>snippets of DNA molecules, ending Chwang was working around the

0:21:36.165 --> 0:21:39.285
<v Speaker 1>clock to stitch them together. Into a full DNA strand

0:21:39.485 --> 0:21:43.885
<v Speaker 1>that could encode for the spike proteins. Meanwhile, Barney Graham's

0:21:43.965 --> 0:21:47.005
<v Speaker 1>lab was talking to MODERNA telling them how to stabilize

0:21:47.005 --> 0:21:50.045
<v Speaker 1>the spike protein with a two P mutations, like what

0:21:50.325 --> 0:21:53.085
<v Speaker 1>spike protein to encode in the mRNA, where to put

0:21:53.125 --> 0:21:58.085
<v Speaker 1>the stabilizing prolein mutations. Then came January thirtieth, twenty twenty.

0:21:58.405 --> 0:22:01.885
<v Speaker 1>It was an exciting day. We Daniel was harvesting. He's

0:22:01.925 --> 0:22:05.165
<v Speaker 1>talking about his grad student, Daniel Repp, the purified spike

0:22:05.205 --> 0:22:08.005
<v Speaker 1>proteins that were produced by the cells we had growing

0:22:08.005 --> 0:22:11.125
<v Speaker 1>in the lab. So we was able to harvest the spike,

0:22:11.365 --> 0:22:18.045
<v Speaker 1>purify it and start freezing cryoEM grids. cryoEM stands for

0:22:18.085 --> 0:22:23.965
<v Speaker 1>cryoelectron microscopy, a method for seeing proteins at atomic resolution. First,

0:22:24.245 --> 0:22:26.925
<v Speaker 1>Daniel would flash freeze the proteins in ice on a

0:22:27.005 --> 0:22:31.485
<v Speaker 1>tiny mesh disc. Then he'd use an electron microscope to

0:22:31.485 --> 0:22:34.965
<v Speaker 1>take thousands of two dimensional images of the proteins. A

0:22:35.005 --> 0:22:38.005
<v Speaker 1>computer program then use those pictures to create a three

0:22:38.085 --> 0:22:41.445
<v Speaker 1>D image showing the structure of the proteins. That allowed

0:22:41.525 --> 0:22:44.565
<v Speaker 1>us to start the data collection that night, and we

0:22:44.565 --> 0:22:47.445
<v Speaker 1>could see the individual spike proteins for the first time,

0:22:48.005 --> 0:22:50.525
<v Speaker 1>and within twenty four hours we had collected a complete

0:22:50.565 --> 0:22:53.045
<v Speaker 1>data set and we got the first looks at the

0:22:53.125 --> 0:22:58.925
<v Speaker 1>molecular shape of the coronavirus spike protein. Within about thirty

0:22:59.005 --> 0:23:02.525
<v Speaker 1>days we had determined in a manuscript submitted that paper

0:23:02.565 --> 0:23:05.325
<v Speaker 1>has been sighted close to four thousand times now we have.

0:23:05.525 --> 0:23:09.525
<v Speaker 1>We were sharing the coordinates of the structure, the blueprint

0:23:09.565 --> 0:23:11.365
<v Speaker 1>of the structure to people all over the world. We

0:23:11.405 --> 0:23:14.245
<v Speaker 1>were shipping the plasmids that we had made two hundred

0:23:14.245 --> 0:23:16.245
<v Speaker 1>groups or so. Is that way they could make the

0:23:16.285 --> 0:23:21.525
<v Speaker 1>spike protein in their labs for diagnostics, for antibody isolation

0:23:21.725 --> 0:23:25.045
<v Speaker 1>or additional structural studies. So it is a really crazy

0:23:25.045 --> 0:23:28.485
<v Speaker 1>time early last year. Now they knew exactly how to

0:23:28.525 --> 0:23:31.845
<v Speaker 1>stabilize the spike protein the mushroom shape on the surface

0:23:31.845 --> 0:23:36.365
<v Speaker 1>of the coronavirus. They'd actually created stabilized spikes in the lab,

0:23:36.765 --> 0:23:40.285
<v Speaker 1>and the pharmaceutical company Baderna would use these stabilize spikes

0:23:40.405 --> 0:23:43.245
<v Speaker 1>as building blocks for the vaccine. They are just directly

0:23:43.245 --> 0:23:49.005
<v Speaker 1>synthesizing the mRNA, but it's still at the instructions level,

0:23:49.165 --> 0:23:51.605
<v Speaker 1>such that when the RNA is injected into a person

0:23:51.885 --> 0:23:55.525
<v Speaker 1>that person sells read the recipe and make a protein

0:23:55.965 --> 0:23:59.605
<v Speaker 1>that contains two proteins at these positions rather than the

0:23:59.685 --> 0:24:05.405
<v Speaker 1>other amino acids that the virus normally uses. RNA is

0:24:05.525 --> 0:24:08.485
<v Speaker 1>the sort of middleman between DNA and the spike proteins.

0:24:09.245 --> 0:24:11.485
<v Speaker 1>We'll learn more about this in the next episode, but

0:24:11.565 --> 0:24:16.285
<v Speaker 1>the saying amongst scientists is that DNA makes RNA, makes

0:24:16.325 --> 0:24:21.885
<v Speaker 1>proteins makes life. Maderna's vaccine sort of skips the DNA

0:24:21.965 --> 0:24:26.365
<v Speaker 1>step and sends the mRNA or messenger RNA directly into

0:24:26.405 --> 0:24:30.965
<v Speaker 1>the body. Maderna encapsulates the mRNA in a fatty sphere

0:24:31.245 --> 0:24:34.125
<v Speaker 1>called a lipid nanoparticle. Another thing we'll talk about in

0:24:34.125 --> 0:24:37.845
<v Speaker 1>an upcoming episode. That bubble helps the mRNA get to

0:24:37.885 --> 0:24:41.445
<v Speaker 1>ourselves without falling apart, and when it does, our selves

0:24:41.485 --> 0:24:44.885
<v Speaker 1>get the recipe from making two p mutated spike proteins.

0:24:45.645 --> 0:24:48.885
<v Speaker 1>They make them, and the immune system sees these coronavirus

0:24:48.965 --> 0:24:52.805
<v Speaker 1>proteins in their prefusion form, and the immune system learns

0:24:52.885 --> 0:24:55.845
<v Speaker 1>that they are a threat. It learns that a spike

0:24:55.885 --> 0:24:59.485
<v Speaker 1>protein in the folded hairpin shape is an enemy and

0:24:59.565 --> 0:25:02.485
<v Speaker 1>the body has to fight it and stop it from spreading.

0:25:03.685 --> 0:25:06.805
<v Speaker 1>If you get infected with coronavirus. The body now knows

0:25:06.845 --> 0:25:09.525
<v Speaker 1>what to do when it comes across the spike protein

0:25:09.885 --> 0:25:13.125
<v Speaker 1>in pre fusion form. It knows how to keep you

0:25:13.205 --> 0:25:17.085
<v Speaker 1>from getting sick. They tested the vaccine in mice and

0:25:17.125 --> 0:25:20.325
<v Speaker 1>saw that it produced an antibody response, and then they

0:25:20.365 --> 0:25:25.285
<v Speaker 1>readied it for humans. By March twenty twenty, Maderna had

0:25:25.405 --> 0:25:27.965
<v Speaker 1>enough vaccine to be used for a phase one clinical trial.

0:25:28.725 --> 0:25:31.485
<v Speaker 1>That material was shipped to the different sites in the

0:25:31.565 --> 0:25:35.325
<v Speaker 1>US where they began immunizing the first forty five people

0:25:35.765 --> 0:25:41.725
<v Speaker 1>with different doses, testing side effects, dose response, the level

0:25:41.765 --> 0:25:45.205
<v Speaker 1>of antibodies being produced. Yeah, I think it's like it's

0:25:45.285 --> 0:25:48.365
<v Speaker 1>like sixty three days or sixty five days something. After

0:25:48.405 --> 0:25:51.125
<v Speaker 1>the genome sequence was made available online, the first people

0:25:51.125 --> 0:25:54.365
<v Speaker 1>are being immunized, which is incredible. Um. Hi, my name

0:25:54.445 --> 0:25:58.365
<v Speaker 1>is Nicolas Nicola in the second episode was one of

0:25:58.365 --> 0:26:01.085
<v Speaker 1>those first people. I was part of the Phase one

0:26:01.165 --> 0:26:06.965
<v Speaker 1>of modernas vaccine trial for COVID. Feisser and Johnson and

0:26:07.045 --> 0:26:10.685
<v Speaker 1>Johnson also used the two P mutation for their COVID vaccines.

0:26:11.165 --> 0:26:13.765
<v Speaker 1>It's the driving force behind all the vaccines that Americans

0:26:13.765 --> 0:26:16.405
<v Speaker 1>are getting and of some other vaccines being made around

0:26:16.445 --> 0:26:18.565
<v Speaker 1>the world. The last year is difficult because there's a

0:26:18.565 --> 0:26:22.445
<v Speaker 1>lot of mixed emotions because there are certain scientific successes

0:26:22.965 --> 0:26:26.125
<v Speaker 1>that we would normally celebrate, but the whole time the

0:26:26.485 --> 0:26:31.205
<v Speaker 1>economy is being devastated. People are losing their jobs, hospitalizations, deaths.

0:26:31.525 --> 0:26:34.165
<v Speaker 1>So it's really a range of mixed emotions where we're

0:26:34.165 --> 0:26:36.725
<v Speaker 1>excited for the science and everything we've been working on

0:26:36.765 --> 0:26:40.045
<v Speaker 1>for years being translated into a vaccine that was looking

0:26:40.125 --> 0:26:44.045
<v Speaker 1>very promising, but at the same time also just really devastating.

0:26:45.085 --> 0:26:47.725
<v Speaker 1>We spoke with Jason in March of this year. At

0:26:47.725 --> 0:26:51.045
<v Speaker 1>the time, three vaccines were already approved for emergency use

0:26:51.085 --> 0:26:54.405
<v Speaker 1>by the FDA, More than thirty million Americans had already

0:26:54.405 --> 0:26:58.165
<v Speaker 1>been fully vaccinated, and millions more were scrambling for appointments.

0:26:59.285 --> 0:27:02.685
<v Speaker 1>Me and my producer Gabby had gotten the Maderna shot

0:27:02.685 --> 0:27:06.645
<v Speaker 1>a few days earlier, but Jason still hadn't been vaccinated.

0:27:07.005 --> 0:27:10.525
<v Speaker 1>He was young and healthy, not a frontline worker, happy

0:27:10.565 --> 0:27:13.205
<v Speaker 1>to wait his turn. He got his first shot a

0:27:13.205 --> 0:27:26.005
<v Speaker 1>couple of weeks later. The search for an RSV vaccine

0:27:26.405 --> 0:27:29.485
<v Speaker 1>after that trial went bad in the sixties inspired the

0:27:29.525 --> 0:27:33.085
<v Speaker 1>technology used in today's COVID vaccines. But what about RSV

0:27:33.525 --> 0:27:36.125
<v Speaker 1>that virus that still kills thousands of people every year.

0:27:36.765 --> 0:27:39.365
<v Speaker 1>It's normally a virus that peaks in winter, but it's

0:27:39.405 --> 0:27:42.805
<v Speaker 1>been surging in children this summer alongside of and maybe

0:27:42.845 --> 0:27:46.205
<v Speaker 1>even because of the surge in the coronavirus delta variants.

0:27:47.325 --> 0:27:50.205
<v Speaker 1>There's still no vaccine for RSV on the market, but

0:27:50.325 --> 0:27:54.365
<v Speaker 1>they're working on it. Last year November October of twenty twenty,

0:27:54.725 --> 0:27:58.565
<v Speaker 1>prefusion f proteins have gone into phase three clinical trials,

0:27:58.725 --> 0:28:01.085
<v Speaker 1>and yeah, we're really excited about that. It's taken a

0:28:01.085 --> 0:28:04.685
<v Speaker 1>long time, that's sort of the normal vaccine development timelines,

0:28:05.045 --> 0:28:09.085
<v Speaker 1>starting a thirteen with the antigen just entering phase three

0:28:09.125 --> 0:28:12.045
<v Speaker 1>clinical trials in twenty twenty, but yeah, everything still looks

0:28:12.085 --> 0:28:16.965
<v Speaker 1>really good and we're really excited by it. Scientific failure

0:28:17.325 --> 0:28:22.205
<v Speaker 1>and scientific success are unstable concepts, about as unstable as

0:28:22.285 --> 0:28:27.045
<v Speaker 1>prefusion spike proteins. When a trial for an RSV vaccine

0:28:27.045 --> 0:28:29.845
<v Speaker 1>failed about as badly as a vaccine trial can fail,

0:28:30.485 --> 0:28:32.885
<v Speaker 1>it led to a newer and better way of making vaccines.

0:28:32.965 --> 0:28:37.045
<v Speaker 1>Fifty years later in twenty seventeen, when they stabilize the

0:28:37.045 --> 0:28:41.165
<v Speaker 1>spike protein, Jason and Nichuang and Daniel and everyone else

0:28:41.205 --> 0:28:43.565
<v Speaker 1>they worked with. All they got was crickets, but they

0:28:43.565 --> 0:28:47.165
<v Speaker 1>did it anyway. Here's Daniel Rapagin. Yeah, it's it's a

0:28:47.165 --> 0:28:50.645
<v Speaker 1>little surreal because we would be doing this work whether

0:28:50.765 --> 0:28:54.205
<v Speaker 1>or not COVID nineteen became a pandemic. We would still

0:28:54.205 --> 0:28:56.565
<v Speaker 1>be studying the spike protein figuring out how it worked.

0:28:57.005 --> 0:29:00.365
<v Speaker 1>But it's been a little surreal to have so much

0:29:00.365 --> 0:29:02.725
<v Speaker 1>attention paid to our work because, like as I've been

0:29:02.725 --> 0:29:06.085
<v Speaker 1>describing to you, we do things that most people would

0:29:06.085 --> 0:29:08.565
<v Speaker 1>think of is just like minutia, Like if there wasn't

0:29:08.605 --> 0:29:10.525
<v Speaker 1>a pandemic, we would still be doing this and people

0:29:10.525 --> 0:29:13.885
<v Speaker 1>would wonder why. The best example of it is, for

0:29:13.925 --> 0:29:15.645
<v Speaker 1>the past like five or six years, I've been telling

0:29:15.685 --> 0:29:19.685
<v Speaker 1>people I studied coronaviruses, and up until like a year ago,

0:29:19.725 --> 0:29:24.365
<v Speaker 1>people would say, what's a coronavirus. On the next episode

0:29:24.365 --> 0:29:27.085
<v Speaker 1>of long Shot, we'll speak with the founders of Moderna,

0:29:27.445 --> 0:29:31.005
<v Speaker 1>a company that started with essentially zero employees before becoming

0:29:31.005 --> 0:29:34.565
<v Speaker 1>one of the biggest names in COVID nineteen vaccines. We'll

0:29:34.605 --> 0:29:37.045
<v Speaker 1>also find out what role Jennifer Aniston played in that

0:29:37.085 --> 0:29:42.925
<v Speaker 1>origin story. Today's episode of long Shot was produced, written,

0:29:42.925 --> 0:29:46.245
<v Speaker 1>and narrated by me Sean Revie. My co producer is

0:29:46.285 --> 0:29:49.565
<v Speaker 1>Gabby Watts. Special thanks to Noel Brown and iHeartRadio and

0:29:49.645 --> 0:29:55.565
<v Speaker 1>journalist Alan Dove and Ryan Cross. Executive producers are Virginia Prescott,

0:29:55.605 --> 0:29:59.165
<v Speaker 1>Brandon Barr and Else Crowley. Long Shot was scored by

0:29:59.205 --> 0:30:02.605
<v Speaker 1>Jason Shannon. The score was mixed by Vic Stafford. Sound

0:30:02.685 --> 0:30:05.445
<v Speaker 1>design and audio mix was by Harper Harris with Tunewelder

0:30:22.405 --> 0:30:23.285
<v Speaker 1>School of Humans