WEBVTT - Breakthrough, Part Six: Unlikely Heroes

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<v Speaker 1>On a warm September day in Berlin, Hungarian biochemist Catalan

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<v Speaker 1>Cattico walks into the nearly century old auditorium at Berlin's

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<v Speaker 1>chetty Tay Hospital. She takes her seat in the front

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<v Speaker 1>row of a World Health Organization event. She surrounded by

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<v Speaker 1>politicians and public health leaders. Just a year earlier, there

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<v Speaker 1>would have been little reason for Catalan to be there

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<v Speaker 1>at all. A few of the other guests would have

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<v Speaker 1>even known her name, But now she's a guest of honor.

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<v Speaker 1>Catalan spent her life researching messenger RNA, the tiny postal

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<v Speaker 1>workers that carry genetic instructions inside cells. For decades, few

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<v Speaker 1>paid attention to what she found that has now changed. Yes.

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<v Speaker 1>Even at the event in September, German Chancellor Angelo Meeric

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<v Speaker 1>called praises Catalan for not giving up. The German Chancellor

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<v Speaker 1>tells the audience that Catalan's thirty years of effort laid

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<v Speaker 1>the groundwork for our current fight against COVID nineteen. In

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<v Speaker 1>her own remarks, Catalan says her collaborators deserve credit too.

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<v Speaker 1>First of all, I would like to correct you because

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<v Speaker 1>there are many, many people contributed to it, and I

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<v Speaker 1>was just one of them. And I am glad that

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<v Speaker 1>I go also goold have I am just representing all

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<v Speaker 1>of those fellow scientists. Then she makes a plea, but

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<v Speaker 1>the dignitaries in the audience to give people with ideas

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<v Speaker 1>that seem crazy a chance. Those who who might have

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<v Speaker 1>an idea which is too weird to support, maybe they

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<v Speaker 1>get more support and sort of problems we were facing

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<v Speaker 1>the future. Catalan doesn't stick around long for drinks. Afterward,

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<v Speaker 1>She's at the co check In less than an hour,

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<v Speaker 1>She's going to Budapest. They're painting her picture onto the

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<v Speaker 1>side of a building there. She's only awards circuit, but

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<v Speaker 1>she says she'd rather be back in her lab as

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<v Speaker 1>soon as possible. Catalan helped lay the groundwork for a

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<v Speaker 1>most important weapon against the deadly virus that has so

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<v Speaker 1>far killed more than five million people around the globe.

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<v Speaker 1>She never expected that, but she also showed the world

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<v Speaker 1>the potential for a new technology, messenger RNA, And this

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<v Speaker 1>is what Catalan had hoped for all along. This is

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<v Speaker 1>a story about what most people would agree is the

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<v Speaker 1>biggest success of the pandemic. Messenger RNA vaccines could never

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<v Speaker 1>have proven themselves so quickly outside the crucible of that

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<v Speaker 1>first pandemic year. The technology may well win some researchers

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<v Speaker 1>and Nobel Prize. It will almost certainly have big implications

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<v Speaker 1>for the future of medicine. Odds are you've taken one

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<v Speaker 1>of these mr Anda vaccines yourself, and you might think

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<v Speaker 1>you know the story of how they swooped onto the

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<v Speaker 1>world stage so quickly, But odds are you don't know

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<v Speaker 1>the half of it. This is also the story of

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<v Speaker 1>as unlikely a bunch of world saving heroes as you'll

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<v Speaker 1>ever encounter. My name is Naomi Kraski, and I'm a

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<v Speaker 1>health journalist for Bloomberg News. In the first half of

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<v Speaker 1>the season, you've heard about the lingering consequences of COVID

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<v Speaker 1>for many patients and hospitals. Now we'll tell you about

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<v Speaker 1>the consequences for science. They're a lot more hopeful. From

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<v Speaker 1>the Prognosis podcast, this is Breakthrough. I first heard of

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<v Speaker 1>messenger are A vaccines more than a year before the

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<v Speaker 1>mysterious new virus emerged in Wuhan. The biggest buzz in

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<v Speaker 1>the drug industry at that time was the idea of

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<v Speaker 1>using the immune system to attack tumors and help cancer

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<v Speaker 1>patients live longer. Scientists were trying a bunch of different

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<v Speaker 1>ways to do this, and a source told me I

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<v Speaker 1>should talk to the people at a German startup called BioNTech.

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<v Speaker 1>Inside European biotech, everybody knew them, but outside that insular

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<v Speaker 1>world a few people had ever heard of them. They

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<v Speaker 1>were trying to make something that had failed many times before,

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<v Speaker 1>a cancer vaccine, but they were trying to do it

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<v Speaker 1>using messenger RNA. Here's BioNTech CEO Uger Shahin speaking at

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<v Speaker 1>a tech conference called codex in. I think you have

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<v Speaker 1>to dare to start without having all solutions in the hand,

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<v Speaker 1>hoping that something would come up. It was fascinating stuff,

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<v Speaker 1>full of hope and cutting edge science, but as is

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<v Speaker 1>often the case in the risky business of biotech, it

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<v Speaker 1>wasn't at all clear that the MR and A vaccines

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<v Speaker 1>would actually work. I wrote a feature story for the

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<v Speaker 1>news wire, then moved on to other topics and went

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<v Speaker 1>on maternity leave. Then in January my boss called. He

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<v Speaker 1>said a new story was keeping him busy, strange new

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<v Speaker 1>coronavirus that had emerged in China and was spreading around

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<v Speaker 1>the world. It's too bad you're not here now, he said.

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<v Speaker 1>It'll probably be all over by the time you're back.

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<v Speaker 1>Of course, when I came back to the office the

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<v Speaker 1>next month, it wasn't over. It was spreading. I live

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<v Speaker 1>in Germany. A few weeks later we went into our

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<v Speaker 1>first lockdown, and it's still not over. The world has changed.

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<v Speaker 1>We're still finding out just how much our story starts.

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<v Speaker 1>In nine the modern study of human genetics was just

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<v Speaker 1>getting going. Only eight years prior, scientists had discovered the

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<v Speaker 1>double helix structure of DNA. Now they were trying to

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<v Speaker 1>figure out how cells act on the instructions encoded in

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<v Speaker 1>the genes. A team from the Pastor Institute in Paris

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<v Speaker 1>identified an elusive molecule that copies pieces of genetic code

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<v Speaker 1>and delivers its instructions into the machinery of the cell.

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<v Speaker 1>They named it messenger RNA. RNA stands for ribonucleic acid,

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<v Speaker 1>where DNA is a double strand RNA is a single strand.

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<v Speaker 1>There are a few types of RNA that play important

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<v Speaker 1>roles in sending DNA's instructions to cells, and messenger RNA

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<v Speaker 1>is essentially leave the errand boy. One of the best

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<v Speaker 1>explanations I've heard of how the biology works comes from

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<v Speaker 1>Derek Rossy Harvard University stem cell biologists. M RNA is

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<v Speaker 1>actually a necessary and obligate intermediate between genes, which are

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<v Speaker 1>encoded in DNA and live in the nucleus, and proteins,

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<v Speaker 1>which do all the busy work of the cell. But

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<v Speaker 1>they're made in another part of the cell called the cytoplasm,

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<v Speaker 1>so the two don't meet the nason the nucleus, protein

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<v Speaker 1>synthesis is and the cytoplasm. So there had to be

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<v Speaker 1>an intermediate molecule, which was discovered to be messenger RNA

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<v Speaker 1>an appropriate an appropriate name. It carries the message encoded

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<v Speaker 1>by the gene out to allow that sort of code

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<v Speaker 1>to be turned into something that has utility, something that

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<v Speaker 1>has function proteins, So DNA makes mRNA makes protein, makes

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<v Speaker 1>all of life. Three French scientists shared a Nobel Prize

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<v Speaker 1>in nineteen sixty five for the discovery of m r

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<v Speaker 1>and A, but for decades after that, m RNA wasn't

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<v Speaker 1>a very high profile area for research. Part of the

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<v Speaker 1>reason was that the molecules fragile and hard to work with.

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<v Speaker 1>Scientists didn't figure out how to synthesize it in the

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<v Speaker 1>lab until in the nineteen nineties. The field Superstars focused

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<v Speaker 1>on DNA instead. DNA was easier than RNA to work

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<v Speaker 1>with and more stable. It was also in the limelight

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<v Speaker 1>thanks to the mapping of the genome and the Human

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<v Speaker 1>Genome Project that lasted from two thousand three. Scientists focused

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<v Speaker 1>on the idea of curing illnesses by fixing errors in

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<v Speaker 1>the genome, but there were a few exceptions researchers who

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<v Speaker 1>stuck with m RNA despite the challenges both scientific and personal.

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<v Speaker 1>One of them came from Hungary. By the time the

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<v Speaker 1>pandemic was a year old, her name would be known

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<v Speaker 1>around the world as the woman who pioneered mr and

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<v Speaker 1>A vaccines. She would be covered endlessly in newspaper articles

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<v Speaker 1>and TV shows. But each time I think I've learned

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<v Speaker 1>everything about her story, something new turns up to surprise me.

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<v Speaker 1>Catalan Cadko was born in Hungary. In she's in grade

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<v Speaker 1>school when the first MR and A discoveries are being lauded.

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<v Speaker 1>The Poster Institute and Nobel Prizes would have seemed very

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<v Speaker 1>far away to her. She grows up under communism in

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<v Speaker 1>gishuis Sarash, a small town in the countryside of eastern Hungary.

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<v Speaker 1>Her father is a butcher, but she knows even as

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<v Speaker 1>a teenager that she wants to be assigned best. Catalan

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<v Speaker 1>declined to be interviewed for this podcast. I and others

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<v Speaker 1>that Bloomberg had already spoken to her many times, and

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<v Speaker 1>she said she wants to focus again on her work

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<v Speaker 1>after being on the interview circuit. I get where she's

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<v Speaker 1>coming from, so we decided to draw from what I

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<v Speaker 1>think is her most unusual interview. She's spoken May with

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<v Speaker 1>Clube Radio, an independent broadcaster based in Budapest. We've dubbed

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<v Speaker 1>her voice from her native Hungarian Madam, I'm not a

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<v Speaker 1>special person at all. I saw that my parents were called,

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<v Speaker 1>and I also tried to help them. Along with my siblings.

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<v Speaker 1>We studied odd that was our job as Catalan earned

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<v Speaker 1>her PhD in Hungary at the University of second just

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<v Speaker 1>a two hour drive from where she grew up. She

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<v Speaker 1>started her postdoctoral research in the same city at the

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<v Speaker 1>Biological Research Center of the Hungarian Academy of Sciences. In

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<v Speaker 1>eight As a PhD student in Hungary, she worked with

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<v Speaker 1>RNA for the first time. It was the start of

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<v Speaker 1>a lifelong obsession. In she got the opportunity to move

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<v Speaker 1>to the US for a job at Temple University in Philadelphia.

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<v Speaker 1>She took it, moving with her husband and toddler daughter.

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<v Speaker 1>The Hungarian government only allowed them to bring a hundred

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<v Speaker 1>dollars with them. Legally, they sold another nine hundred pounds

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<v Speaker 1>about one thousand, two hundred dollars into her daughter's teddy

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<v Speaker 1>bear alment. We flew off. We didn't have any foreign renatives.

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<v Speaker 1>We couldn't count on anyone to send us money. What

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<v Speaker 1>she found wasn't what she had expected either. She says

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<v Speaker 1>the lab wasn't as well equipped as the one back home,

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<v Speaker 1>and one of the co workers doors and yelled. After

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<v Speaker 1>a week she wanted to leave. She stayed out of

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<v Speaker 1>necessity and out of hope. Were in survival mode, and

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<v Speaker 1>I thought I would learn something interesting and we would survive.

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<v Speaker 1>And this is what changes people, that they become so

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<v Speaker 1>defenseless and they must rely on their talent and make

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<v Speaker 1>do with the best they can. By nine, things were

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<v Speaker 1>looking slightly better. Catalan got a research assistant professor position

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<v Speaker 1>at the University of Pennsylvania. This was a chance to

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<v Speaker 1>make a name for herself maybe eventually get tenure. Because

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<v Speaker 1>of the way these jobs work, she was expected to

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<v Speaker 1>win her own grant funding to support her research, but

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<v Speaker 1>she ran into a big roadblock. She was still obsessed

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<v Speaker 1>with m R and A. Well she had seen so

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<v Speaker 1>far in her experiments convinced her that it would make

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<v Speaker 1>a better medicine than d n A. But no, but

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<v Speaker 1>the else agreed. She wrote a lot of grand proposals,

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<v Speaker 1>at one point one every month, she told us, but

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<v Speaker 1>nobody wanted to fund the experiments she wanted to do.

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<v Speaker 1>Nobody wanted to fund work on m R and A.

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<v Speaker 1>She didn't exactly make it easier on herself. One thing

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<v Speaker 1>I learned from her Hungarian interview was that she wasn't

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<v Speaker 1>a networker. Instead, she wanted to spend her time at

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<v Speaker 1>the lab bench doing science. Should I always keep those

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<v Speaker 1>meetings filled with small talk, which could have held my career?

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<v Speaker 1>Those really drove me crazy. Even in stores if they

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<v Speaker 1>were long lines, I thought, you're stealing my time, would you?

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<v Speaker 1>Elliott barn Nathan was her boss at the time. He's

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<v Speaker 1>a cardiologist who was then an associate professor of medicine

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<v Speaker 1>at Penn. Elliott was later to leave academia for a

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<v Speaker 1>drug industry career. He's an executive at Johnson and Johnson now,

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<v Speaker 1>but he remembers Catalan. Well, so the first thing is

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<v Speaker 1>she's incredibly hard working and and brilliant, I mean, really

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<v Speaker 1>truly brilliant. And the thing that's interesting is that she's

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<v Speaker 1>a voracious reader, and and so she would always read

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<v Speaker 1>science and Nature and come into the lab this morning

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<v Speaker 1>with the latest, you know, issue of science that you

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<v Speaker 1>hadn't even come across my desk yet, and she had

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<v Speaker 1>already read it and figured out somebody researching something completely

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<v Speaker 1>different in a different content and a different disease entity.

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<v Speaker 1>But there was a kernel here that was going to

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<v Speaker 1>help us do the next step of what we needed

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<v Speaker 1>to do. And she was always connecting the dots. Messenger

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<v Speaker 1>r n a degree quickly in the body. There are

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<v Speaker 1>enzymes that break loose mrn a down outside of cells,

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<v Speaker 1>but it also goes away quite quickly once it's delivered

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<v Speaker 1>its message inside the cell. Catalan thought that would actually

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<v Speaker 1>be a good thing. She reasoned that you could use

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<v Speaker 1>m RNA to flip a switch in the self for

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<v Speaker 1>a limited period of time. Elliott told me the idea

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<v Speaker 1>would be for it to have the desired effect then

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<v Speaker 1>go away. But convincing the scientific establishment to give her

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<v Speaker 1>experiments a chance proved very, very difficult. They could only

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<v Speaker 1>see the challenge, not the potential benefit for them. mRNA

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<v Speaker 1>was too fragile, too fleeting a dead end, so it

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<v Speaker 1>was very It was very heretical back in those days.

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<v Speaker 1>People said, oh, you're crazy, you know, m RNA will

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<v Speaker 1>never work, it's too unstable. But she really firmly belowd

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<v Speaker 1>She had a vision that it was doable. It was

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<v Speaker 1>just we needed to figure out how to do it.

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<v Speaker 1>Elliott used his own research funding to subsidize Catalan's experiments.

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<v Speaker 1>They had some successes, but time and time again she

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<v Speaker 1>failed to get grant funding. In she was stripped of

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<v Speaker 1>her assistant professor title and demoted to essentially a glorified

0:16:23.160 --> 0:16:27.800
<v Speaker 1>lab researcher. It seemed unlikely that she would ever get

0:16:27.840 --> 0:16:32.040
<v Speaker 1>her own lab. People just couldn't see the see the

0:16:32.080 --> 0:16:37.600
<v Speaker 1>truth of it. Unfortunately, it was a bitter blow. After

0:16:37.720 --> 0:16:41.280
<v Speaker 1>making it all the way from Ural Hungary depend one

0:16:41.280 --> 0:16:45.040
<v Speaker 1>of the top research institutions in the world, Catalan faced

0:16:45.080 --> 0:16:48.160
<v Speaker 1>the very real possibility that she might have to stop

0:16:48.240 --> 0:16:52.120
<v Speaker 1>doing the work that she loved. At the same time,

0:16:52.440 --> 0:16:56.080
<v Speaker 1>she was dealing with a cancer scare and her husband

0:16:56.080 --> 0:16:58.600
<v Speaker 1>was stuck back in Hungary for more than four months

0:16:58.760 --> 0:17:01.080
<v Speaker 1>due to a processing to life for his green card.

0:17:02.120 --> 0:17:06.359
<v Speaker 1>In the Hungarian radio show, she's interviewed alongside a singer

0:17:06.560 --> 0:17:11.160
<v Speaker 1>named Zoran Stephan of It. The show has a unique format.

0:17:11.640 --> 0:17:14.840
<v Speaker 1>It tries to put two people from totally different walks

0:17:14.880 --> 0:17:18.800
<v Speaker 1>of life on the air together. In this case, Oron

0:17:18.960 --> 0:17:23.040
<v Speaker 1>wrote Catalan's favorite song, a ballot called Diamond and Gold.

0:17:23.720 --> 0:17:26.320
<v Speaker 1>She chokes up when she talks about listening to him

0:17:26.320 --> 0:17:34.320
<v Speaker 1>sing when things got tough, that did That's offen. Oran

0:17:34.440 --> 0:17:38.480
<v Speaker 1>released the song in the same year. Catalan moved to

0:17:38.520 --> 0:17:42.280
<v Speaker 1>the US and was the frontman for two Hungarian rock

0:17:42.320 --> 0:17:46.159
<v Speaker 1>bands in the nineteen sixties and nineteen seventies. Under a

0:17:46.160 --> 0:17:49.600
<v Speaker 1>communist regime that opposed rock music, he knew a singer

0:17:49.640 --> 0:17:54.480
<v Speaker 1>or two about persevering during tough times. Zorn's song is

0:17:54.520 --> 0:17:56.760
<v Speaker 1>about how you need to work hard and stay the

0:17:56.800 --> 0:18:00.119
<v Speaker 1>course to achieve your goals. Diamond and Gold of a

0:18:00.240 --> 0:18:03.400
<v Speaker 1>nice shine, he says, but you need to dig deep

0:18:03.440 --> 0:18:07.639
<v Speaker 1>to get it. This resonates with Catalan. She digs a

0:18:07.680 --> 0:18:10.960
<v Speaker 1>long time before she hits pe dirt, and even when

0:18:10.960 --> 0:18:13.960
<v Speaker 1>she does, she's one of only a few who recognizes

0:18:14.320 --> 0:18:26.800
<v Speaker 1>what she's found. The first time I interviewed Catalan was

0:18:26.840 --> 0:18:31.959
<v Speaker 1>in summer. Each time she speaks, I'm struck by how

0:18:32.040 --> 0:18:35.080
<v Speaker 1>little bitterness she expresses about getting shut out by the

0:18:35.160 --> 0:18:40.800
<v Speaker 1>academic establishment for so long. She sounds disappointed, yes, and

0:18:40.880 --> 0:18:45.160
<v Speaker 1>sometimes frustrated. She also talks about how she really got

0:18:45.160 --> 0:18:48.600
<v Speaker 1>a raise. She was hired at forty dollars, and two

0:18:48.600 --> 0:18:52.200
<v Speaker 1>decades later she was making sixty dollars, which she says

0:18:52.320 --> 0:18:55.000
<v Speaker 1>is less than what a laptech would make. But I

0:18:55.040 --> 0:18:57.800
<v Speaker 1>got the impression that because she managed to keep on

0:18:57.880 --> 0:19:01.200
<v Speaker 1>doing science, the lack of our cognition and low pay,

0:19:02.000 --> 0:19:06.080
<v Speaker 1>these were secondary concerns. Here. She is earlier this year,

0:19:06.359 --> 0:19:09.520
<v Speaker 1>speaking for a Bloomberg project about the one year anniversary

0:19:09.560 --> 0:19:13.800
<v Speaker 1>of the pandemic. This is previously unaired audio. As long

0:19:13.880 --> 0:19:15.879
<v Speaker 1>as I was in the lab and focus what I

0:19:15.920 --> 0:19:19.760
<v Speaker 1>can do, I was very happy. I mean, at the weekends,

0:19:20.040 --> 0:19:23.000
<v Speaker 1>long days. And my husband once said that, you know,

0:19:24.040 --> 0:19:27.919
<v Speaker 1>probably my earning is first than in a McDonald's, because

0:19:27.960 --> 0:19:33.720
<v Speaker 1>he collplated probably won all right, So as a biochemist

0:19:33.760 --> 0:19:37.280
<v Speaker 1>in the nineteen nineties, she was probably making less per

0:19:37.320 --> 0:19:40.400
<v Speaker 1>hour than I did at the time. Babysitting the kids

0:19:40.480 --> 0:19:46.200
<v Speaker 1>on my street in Elliott barn Nathan, who was subsidizing

0:19:46.200 --> 0:19:49.560
<v Speaker 1>Catalan's work at Penn, left the university to take a

0:19:49.680 --> 0:19:53.679
<v Speaker 1>job at a biotech. She managed to find a spot

0:19:53.800 --> 0:19:58.399
<v Speaker 1>in another lab, but she needed a close collaborator, someone

0:19:58.520 --> 0:20:02.359
<v Speaker 1>enthusiastic about the science with the cloud, to ensure she

0:20:02.400 --> 0:20:06.159
<v Speaker 1>could fund her projects. How she found this person is

0:20:06.240 --> 0:20:09.680
<v Speaker 1>one of those great water cooler moments that will probably

0:20:09.720 --> 0:20:15.359
<v Speaker 1>go down in science textbooks. In early Catalan started seeing

0:20:15.359 --> 0:20:18.639
<v Speaker 1>a new face at the Xerox machine where she'd copy

0:20:18.720 --> 0:20:22.919
<v Speaker 1>the academic journal articles that she read so eagerly. He

0:20:23.080 --> 0:20:27.280
<v Speaker 1>was an immunologist named Drew Wiseman, fresh off a fellowship

0:20:27.320 --> 0:20:30.399
<v Speaker 1>at Tony Fauci's lab at the National Institute's of Health.

0:20:31.359 --> 0:20:35.960
<v Speaker 1>Drew was also a voracious suiteader of journal articles. Back

0:20:36.000 --> 0:20:37.800
<v Speaker 1>in those days, you'd have to hunt them up in

0:20:37.800 --> 0:20:41.720
<v Speaker 1>the library or somebody else's lab, then copy them and

0:20:41.760 --> 0:20:45.960
<v Speaker 1>take them home. They weren't online. Drew says. They copied

0:20:46.080 --> 0:20:51.320
<v Speaker 1>hundreds of articles before I ran into Katie Carrico over

0:20:51.400 --> 0:20:56.359
<v Speaker 1>a Xerox machine and we would both sort of fight

0:20:56.480 --> 0:21:00.000
<v Speaker 1>over it, but really just wait for each other to finish,

0:21:00.280 --> 0:21:05.160
<v Speaker 1>and we started talking. Drew was interested in dendridic cells,

0:21:05.760 --> 0:21:09.480
<v Speaker 1>which helped the immune system adapt to fight new intruders.

0:21:10.280 --> 0:21:16.080
<v Speaker 1>They migrate throughout the body and collect foreign things, so

0:21:16.240 --> 0:21:22.920
<v Speaker 1>that includes viruses, bacteria, parasites, tumor cells, and they bring

0:21:23.040 --> 0:21:28.520
<v Speaker 1>those two lymph nodes where they start immune reaction. And

0:21:28.520 --> 0:21:32.320
<v Speaker 1>why that's important for a vaccine is that they're the

0:21:32.440 --> 0:21:37.440
<v Speaker 1>critical cell that picks up a vaccine and turns on

0:21:37.920 --> 0:21:42.520
<v Speaker 1>the immune reactions. Drew wanted to work on an HIV vaccine.

0:21:43.160 --> 0:21:47.919
<v Speaker 1>Catalan thought m RNA could help. We started talking and

0:21:47.960 --> 0:21:51.439
<v Speaker 1>I told her about my interest in dendrodic cells and HIV,

0:21:52.280 --> 0:21:55.040
<v Speaker 1>and she told me about her interest in m RNA.

0:21:55.880 --> 0:21:59.640
<v Speaker 1>So we started working together and we started doing experiments

0:21:59.680 --> 0:22:04.600
<v Speaker 1>together other and and that's where our collaboration started. It's

0:22:04.600 --> 0:22:08.480
<v Speaker 1>important to note that up until then, Catalan wasn't really

0:22:08.560 --> 0:22:12.200
<v Speaker 1>thinking about RNA as something you'd used to make a vaccine.

0:22:13.000 --> 0:22:17.480
<v Speaker 1>She wanted to make treatments to use mRNA to spur

0:22:17.640 --> 0:22:20.520
<v Speaker 1>the cells machinery to make a protein that the body

0:22:20.600 --> 0:22:25.920
<v Speaker 1>needs to heal itself. In that sense, Wiseman's involvement broadened

0:22:25.920 --> 0:22:30.040
<v Speaker 1>her perspective. I should also note that some experiments at

0:22:30.080 --> 0:22:33.040
<v Speaker 1>that point had already shown the promise of using genetic

0:22:33.119 --> 0:22:39.840
<v Speaker 1>material to spur the body's cells to produce vaccine. Researchers

0:22:39.840 --> 0:22:42.400
<v Speaker 1>at Merk and Co. Were able to spurn immune response

0:22:42.480 --> 0:22:46.680
<v Speaker 1>in mice by injecting them with DNA that contained instructions

0:22:46.720 --> 0:22:52.439
<v Speaker 1>for influenza proteins. But seeing something working animals and having

0:22:52.480 --> 0:22:56.159
<v Speaker 1>it work in humans, those are two very different things.

0:22:57.640 --> 0:23:02.520
<v Speaker 1>The old line in this mice lie and and macacs exaggerate,

0:23:02.840 --> 0:23:07.040
<v Speaker 1>So if it happens in a mouse, that's never a

0:23:07.080 --> 0:23:11.080
<v Speaker 1>guarantee it'll happen in the human. The body has multiple

0:23:11.160 --> 0:23:14.320
<v Speaker 1>lines of defense against any m RNA that looks like

0:23:14.520 --> 0:23:18.800
<v Speaker 1>it might not belong. These guards are enzymes that will

0:23:18.840 --> 0:23:24.080
<v Speaker 1>break down loose m RNA found outside a cell. If

0:23:24.200 --> 0:23:27.440
<v Speaker 1>m RNA conduct those attacks and try to get inside

0:23:27.440 --> 0:23:32.720
<v Speaker 1>a cell, its troubles aren't over. Derrick Rossi, Harvard stem

0:23:32.720 --> 0:23:36.000
<v Speaker 1>cell scientists we heard from earlier, says the cell's first

0:23:36.040 --> 0:23:38.680
<v Speaker 1>response is to do the exact opposite of what you'd

0:23:38.720 --> 0:23:42.359
<v Speaker 1>want if you're going to use m RNA for a therapy.

0:23:42.520 --> 0:23:46.479
<v Speaker 1>It's to stop making any proteins at all that doesn't

0:23:46.520 --> 0:23:49.640
<v Speaker 1>want viral proteins being made in the cell. And then

0:23:49.680 --> 0:23:54.000
<v Speaker 1>if the response is robust enough, it triggers these ultruastic

0:23:54.040 --> 0:23:57.600
<v Speaker 1>self kill pathways uh and they die because it's better

0:23:57.640 --> 0:24:01.399
<v Speaker 1>for the cell to die than it is to serve

0:24:01.440 --> 0:24:06.959
<v Speaker 1>as a manufacturing facility for a hundred thousand viral particles. Essentially,

0:24:07.080 --> 0:24:11.159
<v Speaker 1>the sell flips a self destruct swich. This makes a

0:24:11.160 --> 0:24:15.320
<v Speaker 1>lot of sense from a biological standpoint. It ensures cells

0:24:15.400 --> 0:24:18.840
<v Speaker 1>stay on track, make the right amount of the right protein,

0:24:19.040 --> 0:24:22.800
<v Speaker 1>and don't get duped into producing a pathogen. But to

0:24:22.960 --> 0:24:26.480
<v Speaker 1>use mr and A as a drug, Catalan and Drew

0:24:26.760 --> 0:24:28.959
<v Speaker 1>had to figure out how to get it into the

0:24:29.000 --> 0:24:33.480
<v Speaker 1>cell without flipping that self destruct switch. That was a

0:24:33.560 --> 0:24:36.560
<v Speaker 1>lot of years of research. It's about seven years of

0:24:36.720 --> 0:24:40.600
<v Speaker 1>work together. And what we did is we first had

0:24:40.600 --> 0:24:45.679
<v Speaker 1>to figure out why it was inflammatory, So what receptors

0:24:46.200 --> 0:24:50.200
<v Speaker 1>was it activating, How was it being recognized. So we

0:24:50.640 --> 0:24:56.600
<v Speaker 1>found some receptors, other people found receptors. In total, there

0:24:56.600 --> 0:25:01.840
<v Speaker 1>are seventeen of them, and we started to look at

0:25:01.280 --> 0:25:06.520
<v Speaker 1>how RNA interacted with those receptors. They did years of

0:25:06.600 --> 0:25:11.600
<v Speaker 1>painstaking experiments trying to disable the self destruct switch. Finally

0:25:11.840 --> 0:25:16.680
<v Speaker 1>the breakthrough came in an unexpected place. You could say

0:25:16.720 --> 0:25:20.520
<v Speaker 1>Look played a role. Look made possible by years of

0:25:20.600 --> 0:25:25.320
<v Speaker 1>hard work. Catalan's old boss, Elliott Barnathan, explained it to me.

0:25:26.040 --> 0:25:30.000
<v Speaker 1>She's a brilliant scientist, and you know, sometimes it's the

0:25:30.040 --> 0:25:35.240
<v Speaker 1>controls that you use that really help you to make

0:25:35.600 --> 0:25:38.119
<v Speaker 1>the advance. Is not necessarily what the experiment is, but

0:25:38.400 --> 0:25:41.600
<v Speaker 1>how well controlled it was. The control group is the

0:25:41.640 --> 0:25:45.200
<v Speaker 1>part of the experiment where you usually don't change anything,

0:25:45.800 --> 0:25:48.480
<v Speaker 1>the part that's supposed to serve as a comparison to

0:25:48.560 --> 0:25:54.320
<v Speaker 1>show whether the hypothesis you're testing is true. Catalan was

0:25:54.400 --> 0:25:57.760
<v Speaker 1>using a special type of RNA called transfer rna as

0:25:57.800 --> 0:26:02.080
<v Speaker 1>a control in one of her experiments. This t RNA

0:26:02.600 --> 0:26:07.119
<v Speaker 1>has an important difference compared to mRNA. There's a different

0:26:07.200 --> 0:26:13.000
<v Speaker 1>arrangement of a structural piece called uridine. So Catalan uses

0:26:13.040 --> 0:26:16.240
<v Speaker 1>this t RNA in the control group and she notices

0:26:16.359 --> 0:26:22.840
<v Speaker 1>something unusual. The immune response inflammation didn't happen in those cells.

0:26:23.720 --> 0:26:25.560
<v Speaker 1>That was sort of the light bulb that went off

0:26:25.560 --> 0:26:29.000
<v Speaker 1>in her head. She decides to make a slight modification

0:26:29.080 --> 0:26:32.520
<v Speaker 1>to the RNA molecule to mimic what naturally occurs in

0:26:32.600 --> 0:26:37.800
<v Speaker 1>transfer rna bingo. The cells don't try to fight off

0:26:37.840 --> 0:26:41.600
<v Speaker 1>the foreign RNA, and even better, they make ten times

0:26:41.600 --> 0:26:45.359
<v Speaker 1>as much protein, and so it was a double whammy.

0:26:45.440 --> 0:26:50.240
<v Speaker 1>And that was really the fundamental patent that both Maderna

0:26:50.440 --> 0:26:55.680
<v Speaker 1>and the fisor bio in tech vaccines use in terms

0:26:55.760 --> 0:27:04.320
<v Speaker 1>of m RNA therapy. In two thousand five, Catalan Currico

0:27:04.600 --> 0:27:08.080
<v Speaker 1>and Drew Wiseman published a paper laying out their method

0:27:08.200 --> 0:27:11.000
<v Speaker 1>for modifying r n A. I asked Drew what he

0:27:11.040 --> 0:27:14.239
<v Speaker 1>thought would happen next. So that was one of my

0:27:14.359 --> 0:27:19.119
<v Speaker 1>more embarrassing moments, because what I said to Katie after

0:27:19.200 --> 0:27:22.159
<v Speaker 1>the paper was published was that our phones are going

0:27:22.240 --> 0:27:24.919
<v Speaker 1>to start ringing off the hook, and people are going

0:27:24.960 --> 0:27:27.000
<v Speaker 1>to call us up and want to work with RNA,

0:27:27.720 --> 0:27:31.199
<v Speaker 1>and drug companies are gonna want to use RNA, and

0:27:32.119 --> 0:27:35.880
<v Speaker 1>our phones never ran. We would sit there looking at

0:27:35.880 --> 0:27:39.159
<v Speaker 1>the phone, and nothing happened. In days and weeks and

0:27:39.240 --> 0:27:43.840
<v Speaker 1>months and years went by and nothing happened. Nobody was interested.

0:27:43.960 --> 0:27:47.119
<v Speaker 1>Even though we published how to make it work well

0:27:47.800 --> 0:27:51.160
<v Speaker 1>and how to use it as a drug, nobody was interested.

0:27:52.400 --> 0:27:55.920
<v Speaker 1>I find that astonishing. I asked him what he thought

0:27:56.000 --> 0:27:59.840
<v Speaker 1>that was. You know, I think that even though we

0:28:00.080 --> 0:28:03.680
<v Speaker 1>published that paper, they still said RNA is too difficult

0:28:03.720 --> 0:28:06.359
<v Speaker 1>to work with and they just didn't want to work

0:28:06.359 --> 0:28:11.480
<v Speaker 1>with RNA. Catalan said she felt like Cassandra, the mythological

0:28:11.600 --> 0:28:15.600
<v Speaker 1>trojan priestess who finds that her gift of prophecy is

0:28:15.640 --> 0:28:19.520
<v Speaker 1>really a curse. I mean, I knew that it can

0:28:19.640 --> 0:28:21.800
<v Speaker 1>be used for everything, and you know, kind of a

0:28:21.880 --> 0:28:25.640
<v Speaker 1>Cassandra feeling that I can see the future and nobody

0:28:25.720 --> 0:28:30.480
<v Speaker 1>believes me. Catalan and Drew filed for a patent to

0:28:30.640 --> 0:28:34.119
<v Speaker 1>keep on doing experiments, but it would take someone with

0:28:34.240 --> 0:28:37.840
<v Speaker 1>more salesman skills to bring the technology to the limelight.

0:28:41.480 --> 0:28:44.440
<v Speaker 1>Derek Rossi, who we heard from earlier, had been a

0:28:44.480 --> 0:28:48.760
<v Speaker 1>postdoctorate fellow at Stanford University when Drew and Catalan published

0:28:48.760 --> 0:28:51.680
<v Speaker 1>their study. He didn't read it at the time, but

0:28:51.760 --> 0:28:54.680
<v Speaker 1>a few years later at Harvard he ran into it

0:28:54.760 --> 0:28:57.960
<v Speaker 1>while trying to solve a problem in stem cell biology.

0:28:58.200 --> 0:29:02.400
<v Speaker 1>He wanted to convert cells back into a state similar

0:29:02.480 --> 0:29:06.120
<v Speaker 1>to that of an embryonic stem cell, a state from

0:29:06.160 --> 0:29:08.640
<v Speaker 1>which a cell can turn into any type of cell

0:29:08.680 --> 0:29:13.040
<v Speaker 1>in the body. A Japanese researcher named Shinya Yamanaka had

0:29:13.040 --> 0:29:16.480
<v Speaker 1>shown this was possible, but he had used a virus

0:29:16.560 --> 0:29:20.200
<v Speaker 1>to deliver the genetic cargo to reprogram the cells, which

0:29:20.280 --> 0:29:24.760
<v Speaker 1>scarred the cell. Derek wanted to use m RNA instead.

0:29:25.720 --> 0:29:29.560
<v Speaker 1>He decided to try a test protein first, something that

0:29:29.600 --> 0:29:35.720
<v Speaker 1>would be easy to recognize if it worked. We encoded

0:29:35.840 --> 0:29:39.120
<v Speaker 1>for the gene for the green fluorescent protein, which is

0:29:39.200 --> 0:29:43.880
<v Speaker 1>a jellyfish gene that fluoresces green under a certain wavelength

0:29:43.920 --> 0:29:47.760
<v Speaker 1>of light uh, and we synthesized that m RNA and

0:29:47.760 --> 0:29:49.720
<v Speaker 1>then we put it onto cells human cells in a

0:29:49.800 --> 0:29:55.200
<v Speaker 1>dish and we got a few green cells, but we

0:29:55.600 --> 0:29:59.520
<v Speaker 1>got a lot of dead cells and bed cells. Of course,

0:29:59.560 --> 0:30:01.760
<v Speaker 1>was not a our goal. We were not trying to

0:30:01.800 --> 0:30:06.240
<v Speaker 1>make a plateful of dead cells. Nope, they wanted green cells,

0:30:06.960 --> 0:30:09.520
<v Speaker 1>or rather, they wanted to get the cells to express

0:30:09.720 --> 0:30:15.120
<v Speaker 1>this green fluorescent protein. So we realized we had another challenge.

0:30:15.280 --> 0:30:18.720
<v Speaker 1>Why what was killing all these cells? When we introduced

0:30:18.720 --> 0:30:23.400
<v Speaker 1>the mRNA they almost gave up. But then Derek turned

0:30:23.480 --> 0:30:26.360
<v Speaker 1>to academic journals to see if anybody else had run

0:30:26.400 --> 0:30:31.080
<v Speaker 1>into this issue, and that is where we came across

0:30:31.120 --> 0:30:35.239
<v Speaker 1>the work of Captaalin Trico and Drew Weissman, whom in

0:30:35.600 --> 0:30:39.600
<v Speaker 1>two thousand and five published a seminal paper which, by

0:30:39.640 --> 0:30:47.600
<v Speaker 1>the way, got largely ignored by the academic press. Derek's

0:30:47.640 --> 0:30:51.840
<v Speaker 1>team followed the instructions in the paper swapping the modified

0:30:51.840 --> 0:30:55.080
<v Speaker 1>building blocks for the RNA. And now when we put

0:30:55.120 --> 0:30:59.280
<v Speaker 1>that jellyfish mRNA onto cells, essentially all the cells in

0:30:59.320 --> 0:31:04.400
<v Speaker 1>the dish where happy and blasting expression of this GFP protein.

0:31:04.520 --> 0:31:08.040
<v Speaker 1>So we were no longer killing cells on mass in

0:31:08.080 --> 0:31:12.280
<v Speaker 1>the dish. And that that discovery that they made, I

0:31:12.360 --> 0:31:17.000
<v Speaker 1>believe is well, it's fundamental to this entire field. Uh

0:31:17.040 --> 0:31:19.840
<v Speaker 1>And I believe it's going to earn them a Nobel

0:31:20.040 --> 0:31:23.920
<v Speaker 1>prize because it really is what allows these mr and

0:31:24.000 --> 0:31:28.600
<v Speaker 1>A vaccines and any mRNA therapeutic down the road. It's

0:31:28.680 --> 0:31:33.000
<v Speaker 1>the enabling sort of peace to the puzzle. Derek's team

0:31:33.040 --> 0:31:36.600
<v Speaker 1>published a paper in showing that they could use mr

0:31:36.680 --> 0:31:40.720
<v Speaker 1>and A to reprogram human skin cells. Now this was

0:31:40.800 --> 0:31:45.760
<v Speaker 1>sexy enough to get people's attention. It made a huge splash.

0:31:46.120 --> 0:31:48.840
<v Speaker 1>You may have seen the headlines. Scientists can now take

0:31:48.880 --> 0:31:51.760
<v Speaker 1>an ordinary cell from the body and transform it into

0:31:51.760 --> 0:31:54.680
<v Speaker 1>a cell that's very similar to an embryonic stem cell.

0:31:55.480 --> 0:31:58.280
<v Speaker 1>Most of the media reports were about the stem cells,

0:31:58.520 --> 0:32:02.440
<v Speaker 1>not the mr and a technolo oology, and that was exciting. Indeed,

0:32:02.480 --> 0:32:06.600
<v Speaker 1>from a basic science perspective, but Derek was already thinking

0:32:06.640 --> 0:32:10.960
<v Speaker 1>about the broader potential, and I was thinking to myself, Okay,

0:32:11.560 --> 0:32:15.080
<v Speaker 1>there's a lot of attention being given to the cell

0:32:15.160 --> 0:32:18.240
<v Speaker 1>based aspect of this, but nobody's really sort of recognizing

0:32:18.320 --> 0:32:22.080
<v Speaker 1>the modified m R and A based aspect. So I

0:32:22.080 --> 0:32:25.200
<v Speaker 1>should go out and try to start a company around this,

0:32:25.320 --> 0:32:27.840
<v Speaker 1>and that's that's the origin of Maderna. And I went

0:32:27.840 --> 0:32:32.400
<v Speaker 1>out and convinced some early investors and people that has

0:32:32.440 --> 0:32:36.680
<v Speaker 1>had potential, and it sort of launched launches the industry.

0:32:36.720 --> 0:32:41.880
<v Speaker 1>I guess Harvard colleague introduced Derek to venture capital company

0:32:41.920 --> 0:32:48.560
<v Speaker 1>Flagship Pioneering, which founded Moderna in operations began the next year.

0:32:49.240 --> 0:32:53.920
<v Speaker 1>Industry veterans signed on, including Stefan pan Cell and experienced

0:32:53.960 --> 0:32:58.040
<v Speaker 1>French executive who took the CEOs job at Moderna. The

0:32:58.080 --> 0:33:02.080
<v Speaker 1>company stayed private for eight years, raising two point five

0:33:02.160 --> 0:33:05.720
<v Speaker 1>billion dollars in venture capital and drug company investment. Along

0:33:05.720 --> 0:33:08.800
<v Speaker 1>the way, then had one of the biggest I p

0:33:08.960 --> 0:33:13.600
<v Speaker 1>O s in biotech history in December. Along the Way,

0:33:13.880 --> 0:33:19.000
<v Speaker 1>Moderna earned a reputation for secrecy until it published a

0:33:19.040 --> 0:33:23.120
<v Speaker 1>few scientific papers, preferring to keep its discoveries under wraps.

0:33:24.080 --> 0:33:27.920
<v Speaker 1>Derek left the company he founded in to focus on

0:33:28.000 --> 0:33:32.680
<v Speaker 1>his research. Catalan still reflects with wonder on how Bancel

0:33:32.720 --> 0:33:36.200
<v Speaker 1>and Moderna were able to collect so much money when

0:33:36.280 --> 0:33:40.280
<v Speaker 1>she wasn't even able to get a research grant. I concluded,

0:33:40.400 --> 0:33:44.800
<v Speaker 1>probably I did not explain well because look, come, come

0:33:44.840 --> 0:33:51.120
<v Speaker 1>a salesman the like Stefanson, poor, and when he goes

0:33:51.160 --> 0:33:54.400
<v Speaker 1>to have a breakfast reader Sioan, then in ten minutes

0:33:54.440 --> 0:33:58.560
<v Speaker 1>already two million dollar. He could convince him that that

0:33:58.840 --> 0:34:03.480
<v Speaker 1>mRNA is good for everything. And I said the same

0:34:03.560 --> 0:34:07.960
<v Speaker 1>to people, and they didn't even give me for the research.

0:34:14.160 --> 0:34:18.320
<v Speaker 1>But in Germany, a very different competitor was also working

0:34:18.480 --> 0:34:22.280
<v Speaker 1>on the m R and A technology. Husband wife team

0:34:22.360 --> 0:34:26.200
<v Speaker 1>Uger Shahina notes them to Achi founded BioNTech in two

0:34:26.239 --> 0:34:30.560
<v Speaker 1>thousand eight. Before Derrick Cross's work brought the idea of

0:34:30.640 --> 0:34:34.520
<v Speaker 1>modified m R and A into the limelight, the pair

0:34:34.560 --> 0:34:39.000
<v Speaker 1>had spent years pursuing immune based treatments for cancer. Starting

0:34:39.000 --> 0:34:41.719
<v Speaker 1>in the nineteen nineties at the University Medical Center of

0:34:41.719 --> 0:34:46.840
<v Speaker 1>the Johanna Schuttenberg University in minz Uger had started exploring

0:34:47.000 --> 0:34:50.760
<v Speaker 1>m R and as delivery method in two thousand something.

0:34:50.920 --> 0:34:53.840
<v Speaker 1>His wife once told me was considered a crazy idea

0:34:53.960 --> 0:34:57.879
<v Speaker 1>at the time, where moderna was polished and corporate from

0:34:57.920 --> 0:35:03.400
<v Speaker 1>the start. BioNTech an academic vibe who uses his university

0:35:03.480 --> 0:35:11.239
<v Speaker 1>email address. They've published hundreds of scientific papers. Who were

0:35:11.520 --> 0:35:15.960
<v Speaker 1>hired Catalan Cardicho away from PENN. They put out a

0:35:15.960 --> 0:35:19.920
<v Speaker 1>press release saying that her work had opened a new

0:35:20.040 --> 0:35:24.880
<v Speaker 1>field of therapy. She finally got her own lab just

0:35:25.000 --> 0:35:28.880
<v Speaker 1>down the hall from the CEO S office. Catalan says

0:35:28.960 --> 0:35:33.360
<v Speaker 1>she joined because she wanted to see her work in action.

0:35:34.360 --> 0:35:37.960
<v Speaker 1>I wanted to see the first patient to be treated,

0:35:38.040 --> 0:35:41.400
<v Speaker 1>some one person at least. I wanted to see that, okay,

0:35:41.400 --> 0:35:45.480
<v Speaker 1>this modified Emma and he helped one one person at least.

0:35:46.880 --> 0:35:50.560
<v Speaker 1>How the story would go from there, well, she never

0:35:50.600 --> 0:36:03.200
<v Speaker 1>expected that. That's next time on Breakthrough. Next week on Breakthrough,

0:36:03.360 --> 0:36:06.000
<v Speaker 1>we'll tell you about the frantic ten months of COVID

0:36:06.120 --> 0:36:10.920
<v Speaker 1>nineteen vaccine development that silenced the doubters in the scientific community.

0:36:11.000 --> 0:36:15.000
<v Speaker 1>At least it was highly likely that this is going

0:36:15.120 --> 0:36:19.080
<v Speaker 1>to be a pandemic, and we started to discuss what

0:36:19.120 --> 0:36:24.600
<v Speaker 1>we can do. This episode of Prognosis Breakthrough was written

0:36:24.640 --> 0:36:28.400
<v Speaker 1>and reported by me Naomi Kresky. So for Foreheads is

0:36:28.400 --> 0:36:33.040
<v Speaker 1>our senior producer. Carl Kevin Robinson Jr. Is our associate producer.

0:36:33.680 --> 0:36:36.800
<v Speaker 1>Our theme music was composed and performed by Hannis Brown.

0:36:37.680 --> 0:36:42.120
<v Speaker 1>Veronica Guyash did voice over, and Emma Cord, Bob Langrath,

0:36:42.480 --> 0:36:47.200
<v Speaker 1>and Sultan Shimon contributed reporting. Rick Shine is our editor.

0:36:47.880 --> 0:36:51.480
<v Speaker 1>Francesca Levy is the head of Bloomberg Podcasts. Be sure

0:36:51.480 --> 0:36:54.520
<v Speaker 1>to subscribe if you haven't already. If you liked this episode,

0:36:54.680 --> 0:36:57.319
<v Speaker 1>please leave us a review. It helps others find out

0:36:57.360 --> 0:37:09.680
<v Speaker 1>about the show. Thanks for listening.