WEBVTT - Lab 019: What's Beef?

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<v Speaker 1>I don't judge, but the Internet does. The Internet says

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<v Speaker 1>the worst people are somebody that's doing CrossFit or someone

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<v Speaker 1>who's mean. I was gonna say, let me get it. Vegans.

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<v Speaker 2>Yeah, Honestly, I feel like nobody loves talking about themselves

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<v Speaker 2>more than vegans. I don't have nothing against a vegan.

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<v Speaker 2>Whatever you want to eat, eat that, that's fine with me.

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<v Speaker 2>But they love talking about being vegan.

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<v Speaker 1>A lot of posts out there about being vegan. Yeah.

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<v Speaker 2>There are some aggressive vegans though, that are like, really

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<v Speaker 2>mean if you aren't vegan, And those are the ones

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<v Speaker 2>that I'm just like, Okay, well, I'm gonna just keep

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<v Speaker 2>my distance because I don't want no smoke.

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<v Speaker 1>Well, I gotta tell you I had an impossible burger recently,

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<v Speaker 1>and you might have to keep your distance from me. Okay,

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<v Speaker 1>you're gonna give me some plant blazed smoke. Yeah, you're

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<v Speaker 1>gonna get some. I'm gonna get these wood chips. Okay. Okay.

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<v Speaker 1>I'm t T and I'm Zachiah and from Spotify Studios.

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<v Speaker 1>This is Dope Laps. I am all on the plant

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<v Speaker 1>based meat alternative kick.

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<v Speaker 2>Okay, Yeah, we went and got that impossible whopper and

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<v Speaker 2>then all of a sudden, the Kia is soy everything,

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<v Speaker 2>soy life.

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<v Speaker 1>That's not true, Like what do you mean?

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<v Speaker 3>Oh?

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<v Speaker 1>This is impossible meat? And I'm like, m well, what

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<v Speaker 1>are we gonna do for the function? Because everybody no? Okay? Dogs?

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<v Speaker 1>We had. That is so funny because I posted the

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<v Speaker 1>other day that I was at the grocery store and

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<v Speaker 1>I saw some of the Beyond like the Beyond crumbles

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<v Speaker 1>that you can get, and I posted it on Instagram

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<v Speaker 1>and my friend Kate wrote me and said, is that

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<v Speaker 1>what you're making the turkey out of? That? Is that

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<v Speaker 1>what you're doing?

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<v Speaker 2>Because we have friends giving at your house, right m h?

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<v Speaker 2>And so yes, if I would have that, I would

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<v Speaker 2>have been alarmed to but we didn't have that, y'all.

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<v Speaker 2>We had a lot of really good food. This is

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<v Speaker 2>almost becoming a food podcast.

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<v Speaker 1>I know we got to change the category. But you

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<v Speaker 1>know I got even my dad. I got him eating

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<v Speaker 1>plant based. Let me tell you that is a meat eater.

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<v Speaker 1>He could eat six chicken thighs in one sitting. It's true.

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<v Speaker 2>He's very tall and very strong and he's powered by

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<v Speaker 2>chicken thighs.

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<v Speaker 1>He's gonna kill you. And so when you think about

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<v Speaker 1>taking someone like that, and I don't know what his

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<v Speaker 1>carbon footprint is, okay, Paul Bunyan carbon footprint. But when

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<v Speaker 1>you take someone like that and you say, all right,

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<v Speaker 1>I got this person to eat plant based meat alternative something,

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<v Speaker 1>you're doing something different because he's not gonna eat a

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<v Speaker 1>Boca Burger. No shade to Boca Burgers. I like those two,

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<v Speaker 1>but he's not going for it. Okay. I got him

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<v Speaker 1>that burrito bowl at Cadoba. He said, hey, you tell

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<v Speaker 1>me this right here, this is all vegetables. I'm in.

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<v Speaker 1>I can do it every day.

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<v Speaker 2>Even Oprah, she did a thirty day vegan challenge right right.

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<v Speaker 1>See, we're onto something. You have to follow on the

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<v Speaker 1>footsteps of the greats. Yes, Oprah Beyonce, impossible, man, you'll

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<v Speaker 1>get a burger. You don't get a burger. You'll get

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<v Speaker 1>a burger. That was t t I thought that was

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<v Speaker 1>an alright, Oprah impression. I thought it was good. But

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<v Speaker 1>affect this Opra impressions.

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<v Speaker 2>If I meet Oprah, Hey, Oprah, love to meet you,

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<v Speaker 2>and I better help you with that.

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<v Speaker 1>Yeah, I need my friend there. Okay, So I think

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<v Speaker 1>this episode we need to put meat alternatives under the microscope.

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<v Speaker 1>So let's get into the recitation. I want to know

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<v Speaker 1>has anyone out there tried some version of this from

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<v Speaker 1>I mean, it's in our local fast food establishment, So

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<v Speaker 1>it's that Cadoba that I know about World Burger King,

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<v Speaker 1>Burger King. I saw that KFC was trying to come

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<v Speaker 1>up with a plant based chicken. That seems tough, and

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<v Speaker 1>I feel like this is coming out of nowhere. Yeah.

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<v Speaker 1>It went from one hundred percent angus beef yeah, to

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<v Speaker 1>pea protein yeah, very quickly. Yeah. Me, I just want

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<v Speaker 1>to know, like, how is this stuff made? What?

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<v Speaker 2>I don't really understand how you can make pea protein

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<v Speaker 2>sizzle on the grill?

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<v Speaker 1>Yeah? How is it made? Is it better for you?

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<v Speaker 1>Because I know people think like, oh, if I get this,

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<v Speaker 1>this is a healthier option, is it? Is it? And

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<v Speaker 1>then not only is it better, but like what kind

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<v Speaker 1>of technology is this? Are they three D printing these burgers?

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<v Speaker 1>Like I want to know the how because I know

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<v Speaker 1>it's not like we harvested peas. You know, when you

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<v Speaker 1>get a veggie burger, you can see like, oh, there's

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<v Speaker 1>a little bit of it, there's a little bit of carrot,

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<v Speaker 1>here's a little bit of pee. Yeah, there's a little

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<v Speaker 1>onion and mushroom over here. It's not like that, not

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<v Speaker 1>at all. It looks like me this thing and even

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<v Speaker 1>some it has like stuff that looks like blood pink

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<v Speaker 1>to dark brown. What's happening? I don't get it, and

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<v Speaker 1>so we want to get to the bottom of it.

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<v Speaker 1>Let's take a big bite and jump into the dissection.

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<v Speaker 1>All right, it's time for the dissection. We invited doctor

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<v Speaker 1>Christina Agapacas to help us unpack all of our questions

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<v Speaker 1>behind plant based meat. My name is Christina Agapakis.

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<v Speaker 3>I am a synthetic biologist and the creative director at

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<v Speaker 3>Ginko Bioworks.

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<v Speaker 2>Ginkgo Bioworks is a biotech company that was founded in

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<v Speaker 2>two thousand and nine by a bunch of scientists from MIT.

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<v Speaker 2>Earlier this year, the company launched a new venture called

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<v Speaker 2>Motif to find the next big thing in laboratory based food,

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<v Speaker 2>and they did this by developing the key ingredients using

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<v Speaker 2>biotechnology and fermentation. But before we dive into the science

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<v Speaker 2>behind all these plant based meat options, we wanted to

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<v Speaker 2>zoom out and get a little bit more familiar with

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<v Speaker 2>the history and the industry of plant based meat. Plant

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<v Speaker 2>based meat is nothing new, but we are in sort

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<v Speaker 2>of a renaissance period where it's becoming way more popular.

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<v Speaker 2>I see these plant based paddies everywhere, and chances are

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<v Speaker 2>you can find them in your local supermarket in the

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<v Speaker 2>meat aisle. Back in April, Burger King announced their new

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<v Speaker 2>Impossible Whopper, and McDonald's is actually working on their own

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<v Speaker 2>version of a meatless burger alternative.

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<v Speaker 1>The plant based meat industry has grown so much over

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<v Speaker 1>the past I don't know, five to ten years. Yeah,

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<v Speaker 1>you know, I remember seeing like morning Star burgers and

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<v Speaker 1>stuff like that in the frozen isle, and every now

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<v Speaker 1>and then I get a black bean burger. I even

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<v Speaker 1>try to make my own black bean burger. No good.

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<v Speaker 1>But now that this is at Burger King and all

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<v Speaker 1>these other places and in the grocery stores like, have

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<v Speaker 1>we reached a peak? Is the growth going to slow

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<v Speaker 1>down now or are we on the trajectory to just

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<v Speaker 1>keep going well.

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<v Speaker 2>Analysts expect that the plant based protein or meat alternative

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<v Speaker 2>market is going to grow by twenty eight percent a year,

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<v Speaker 2>from four point six billion dollars in twenty eighteen to

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<v Speaker 2>eighty five billion dollars in twenty thirty, so twenty.

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<v Speaker 1>Eight percent of growth each year. Between thirty. Yeah, what

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<v Speaker 1>I need to buy some stock. Yeah, the next episode

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<v Speaker 1>will be about the stock market.

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<v Speaker 3>It has been really incredible to see the change in

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<v Speaker 3>the way that people kind of talk about vegetarian options

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<v Speaker 3>and vegan options and how much demand there's been.

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<v Speaker 1>It's been really really dramatic, and there are a bunch

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<v Speaker 1>of different reasons people are gravitating more towards plant based meat.

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<v Speaker 2>Right a few years ago, I feel like people didn't

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<v Speaker 2>eat meat for two main reasons, animal rights or for

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<v Speaker 2>their personal health, like they want to get their cholesterol

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<v Speaker 2>lower or whatever. But doctor Agapakis says there's another reason

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<v Speaker 2>why it's become more popular.

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<v Speaker 3>Climate ethics and environmental impact that you have is a

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<v Speaker 3>major factor. I think that in many people's decisions, and

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<v Speaker 3>that's been something that I think has changed pretty dramatically

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<v Speaker 3>in the past few years, where where people look at

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<v Speaker 3>the sort of impacts of their everyday things that they

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<v Speaker 3>do and they see meat to the top of the list,

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<v Speaker 3>and they see better options for them for things that

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<v Speaker 3>still taste good that they can have access to that

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<v Speaker 3>can can start chipping away at that impact that they

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<v Speaker 3>have as an individual.

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<v Speaker 2>So the demand is growing dramatically for different reasons. Let's

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<v Speaker 2>talk about supply. What are these meat substitutes actually made of.

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<v Speaker 3>It's basically like protein that comes from plants, right, and

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<v Speaker 3>so there's lots of ways that that can happen.

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<v Speaker 1>That's right. There are many different kinds of plant proteins though.

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<v Speaker 1>For example, Gardenburger, which was invented in the early nineteen eighties,

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<v Speaker 1>uses soy protein and it's burger patties, and those patties

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<v Speaker 1>came with like those grill marks, so you felt like

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<v Speaker 1>it was really grill what is it? But also peas, wheat, nuts,

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<v Speaker 1>and rice are popular crops that are used as meat substitutes,

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<v Speaker 1>but a lot of those earlier meat substitutes didn't quite

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<v Speaker 1>hit the mark.

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<v Speaker 3>You can do a lot with the texture from the

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<v Speaker 3>proteins that you can get from plants, but you can't

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<v Speaker 3>really do everything that meat or dare product does. You

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<v Speaker 3>can't get the full sort of sensory experience. You can't

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<v Speaker 3>get the kind of qualities, whether that's like how it foams,

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<v Speaker 3>how it feels in your mouth, how it cooks, all

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<v Speaker 3>of those things might that have different kinds of ingredients

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<v Speaker 3>that come from the meat that are important.

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<v Speaker 2>So while a lot of earlier meat substitutes tasted just

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<v Speaker 2>find there was no way you could ever confuse them

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<v Speaker 2>for the real deal. Yeah, especially with those fake sharpie

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<v Speaker 2>grow marks.

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<v Speaker 1>And so that really brings us to why plant based

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<v Speaker 1>meat alternatives now are becoming so much more popular. So

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<v Speaker 1>let's use two of the most popular plant based meat

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<v Speaker 1>companies as an example, Impossible Burger and Beyond Meat. Both

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<v Speaker 1>companies still use plants and grains for the bulk of

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<v Speaker 1>their protein. Impossible uses soy protein concentrate and Beyond Meat

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<v Speaker 1>uses pea protein.

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<v Speaker 2>But what makes these so different from Gardenberger is the

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<v Speaker 2>specialty ingredients their scientists have developed. These ingredients are used

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<v Speaker 2>in much smaller quantities, but are what makes the product look, taste.

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<v Speaker 1>And smell like real meat.

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<v Speaker 2>In other words, these ain't the old school veggie burger patties.

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<v Speaker 1>What's an example of one of these specialty ingredients.

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<v Speaker 3>For Impossible foods? That was the heme.

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<v Speaker 1>Heme has been referred to as the magic ingredient in

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<v Speaker 1>the Impossible Burger.

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<v Speaker 2>So heme is the stuff that makes Impossible Burger cook

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<v Speaker 2>from pink to brown, right, just like a real burger.

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<v Speaker 1>So what is heme for real? For real? Heme is

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<v Speaker 1>most commonly recognized as one of the components and hemoglobin, right,

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<v Speaker 1>and that's what makes our blood red, and its primary

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<v Speaker 1>function is to just transport oxygen. So if scientists that

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<v Speaker 1>Impossible use heme to give their beef patties that meaty flavor.

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<v Speaker 3>And so being able to find a source of that

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<v Speaker 3>protein that's vegan was really important to the team at

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<v Speaker 3>Impossible Foods and is really a key ingredient for them.

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<v Speaker 2>So how did the scientists that Impossible use heme without

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<v Speaker 2>using animals as the source for hem That seems really

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<v Speaker 2>tricky and confusing for me.

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<v Speaker 1>When we tend to think about heme, people always go

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<v Speaker 1>to the example of hemoglobin and hemoglobin being in blood.

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<v Speaker 1>But the thing to remember, hem is also present in

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<v Speaker 1>plants and is present in one of our favorites.

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<v Speaker 2>Soy, we're going to take a quick break, but when

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<v Speaker 2>we get back, we're going to dive into the actual

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<v Speaker 2>process of finding and extracting these proteins that are then

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<v Speaker 2>used to make the magic ingredients in our plant based food.

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<v Speaker 1>Stay tuned.

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<v Speaker 2>We're back and we're ready to dive into the actual

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<v Speaker 2>process of engineering these plant based proteins that ultimately become

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<v Speaker 2>your impossible whopper. As doctor Agapakis says, it's an incredibly

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<v Speaker 2>multidisciplinary process that involves aspects of biology, chemistry, and genetics.

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<v Speaker 1>My friend, the kia is lighting up. It is a

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<v Speaker 1>wonderful symphony. Right. In order to get a plant based

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<v Speaker 1>burger patty just right, scientists have to go through a

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<v Speaker 1>lot of trial and error looking for the proteins they

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<v Speaker 1>have the best qualities. And before the break, we found

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<v Speaker 1>out that hem was the key ingredient in making impossible

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<v Speaker 1>burgers red and juicy.

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<v Speaker 2>Just like real meed. You can find heme in soy,

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<v Speaker 2>but only in small amounts, and so extracting it from

0:12:28.080 --> 0:12:31.959
<v Speaker 2>the soy would be really really inefficient.

0:12:32.320 --> 0:12:36.360
<v Speaker 1>So the scientist Impossible new that they couldn't just pull

0:12:36.400 --> 0:12:38.520
<v Speaker 1>the heme straight from the soy. That would kind of

0:12:38.559 --> 0:12:40.439
<v Speaker 1>cause a lot of problems. So they figured out a

0:12:40.480 --> 0:12:41.600
<v Speaker 1>way to make their own hem.

0:12:41.720 --> 0:12:44.520
<v Speaker 3>The way that they do that is actually sourcing the

0:12:44.720 --> 0:12:50.199
<v Speaker 3>gene for plant hemoglobin. So like the protein that binds

0:12:50.240 --> 0:12:53.920
<v Speaker 3>iron and blood is also used to buy iron in plants,

0:12:54.480 --> 0:12:57.400
<v Speaker 3>and so they took that same gene and then transferred

0:12:57.400 --> 0:13:00.360
<v Speaker 3>into yeast, and now yeast can start making that rotein

0:13:00.440 --> 0:13:02.360
<v Speaker 3>at high quantities and then that can be used as

0:13:02.360 --> 0:13:03.439
<v Speaker 3>an ingredient in the food.

0:13:03.679 --> 0:13:06.679
<v Speaker 2>Okay, I need to break this down a little bit. First,

0:13:06.880 --> 0:13:11.199
<v Speaker 2>they find the gene for the plant hemoglobin, where do

0:13:11.240 --> 0:13:14.240
<v Speaker 2>they find that? So in the sixties and seventies, scientists

0:13:14.320 --> 0:13:17.520
<v Speaker 2>used to use a very manual process to break down genomes.

0:13:17.920 --> 0:13:20.480
<v Speaker 2>So remember that's all the genetic information in a plant

0:13:20.600 --> 0:13:24.000
<v Speaker 2>or in an organism into these tiny little pieces. And

0:13:24.040 --> 0:13:26.280
<v Speaker 2>then to say which of these pieces has the thing

0:13:26.320 --> 0:13:27.160
<v Speaker 2>I'm interested in?

0:13:27.480 --> 0:13:28.480
<v Speaker 1>That took forever.

0:13:28.800 --> 0:13:31.200
<v Speaker 3>But now with al Gore's Internet, now I just go

0:13:31.240 --> 0:13:32.880
<v Speaker 3>to my computer and type like I want the gene

0:13:32.880 --> 0:13:33.640
<v Speaker 3>for insulin, and.

0:13:33.559 --> 0:13:34.440
<v Speaker 1>Like, whoop, there it is.

0:13:34.480 --> 0:13:36.880
<v Speaker 3>I can actually search those databases now and say like

0:13:36.920 --> 0:13:39.360
<v Speaker 3>I want a hemoglobin gene, Show me all of them,

0:13:39.640 --> 0:13:42.480
<v Speaker 3>and like here's I don't know, a few thousands.

0:13:42.559 --> 0:13:45.400
<v Speaker 2>This has really widened the pool of potential genes when

0:13:45.400 --> 0:13:48.000
<v Speaker 2>it comes to sourcing for plant based proteins.

0:13:48.040 --> 0:13:50.840
<v Speaker 3>When it comes to sourcing those genes, it's all of

0:13:50.920 --> 0:13:55.240
<v Speaker 3>biological diversity, right, Like, those proteins can come from any kingdom,

0:13:55.840 --> 0:14:00.240
<v Speaker 3>any organism, and because of the how much people will

0:14:00.240 --> 0:14:04.520
<v Speaker 3>have sequenced and how much sequencing is out there, you

0:14:04.559 --> 0:14:08.400
<v Speaker 3>can source those genes from almost anywhere now and be

0:14:08.440 --> 0:14:10.920
<v Speaker 3>able to access that diversity and learn from it.

0:14:11.040 --> 0:14:13.800
<v Speaker 2>So let's say that you've scoured the database and done

0:14:13.840 --> 0:14:16.080
<v Speaker 2>a bunch of tests and you found the gene that

0:14:16.160 --> 0:14:20.880
<v Speaker 2>produced the protein you need to make the perfectly juicy meatball.

0:14:21.560 --> 0:14:22.400
<v Speaker 1>Then what do you do.

0:14:22.520 --> 0:14:24.720
<v Speaker 3>We can take those sequences that are on the computer,

0:14:25.760 --> 0:14:29.120
<v Speaker 3>the digital sequence of the DNA code, and synthesize it

0:14:29.160 --> 0:14:33.480
<v Speaker 3>into actual chemical DNA that now the yeast can read

0:14:33.520 --> 0:14:36.640
<v Speaker 3>and start producing. That yeast now is a factory that

0:14:36.840 --> 0:14:40.120
<v Speaker 3>copies itself, and in a tank that looks like a

0:14:40.160 --> 0:14:44.480
<v Speaker 3>brewery like tank sort of facility, you can have trillions

0:14:44.520 --> 0:14:46.640
<v Speaker 3>of each of these cells, each making their own and

0:14:46.680 --> 0:14:48.360
<v Speaker 3>so like that's where you can actually get to that

0:14:48.440 --> 0:14:49.240
<v Speaker 3>level of tons.

0:14:49.600 --> 0:14:53.560
<v Speaker 2>This process is called recombinant microbial technology, and it's the

0:14:53.600 --> 0:14:56.240
<v Speaker 2>ability to take genes from one source and put them

0:14:56.360 --> 0:14:58.040
<v Speaker 2>in another organism or plant.

0:14:58.240 --> 0:15:01.360
<v Speaker 3>You change the sort of apply chain, right, So now

0:15:01.400 --> 0:15:04.359
<v Speaker 3>instead of having to grow a ton of crops to

0:15:04.400 --> 0:15:06.800
<v Speaker 3>squeeze out the tiny bit of hemoglobe, and you make

0:15:06.880 --> 0:15:09.000
<v Speaker 3>something that makes tons of sugar, you put that into

0:15:09.040 --> 0:15:12.000
<v Speaker 3>the organism that's transforming that sugar into that protein.

0:15:12.120 --> 0:15:16.000
<v Speaker 1>This is really clever. Like, I don't think we appreciate

0:15:16.040 --> 0:15:18.680
<v Speaker 1>what scientists are doing here enough. And I'm not just

0:15:18.760 --> 0:15:21.760
<v Speaker 1>saying this because biologists do it. Break it down for

0:15:21.800 --> 0:15:25.440
<v Speaker 1>the people. Zee, If you have a gene that you

0:15:25.480 --> 0:15:27.600
<v Speaker 1>know encodes for a protein, and that protein is only

0:15:27.680 --> 0:15:30.880
<v Speaker 1>made in small amounts, you have to take so much

0:15:30.920 --> 0:15:34.360
<v Speaker 1>of that source material to get enough protein to be useful.

0:15:34.840 --> 0:15:36.840
<v Speaker 1>You know, many soy plants, we would need to get

0:15:36.920 --> 0:15:41.280
<v Speaker 1>enough hem to make blood for burger king supply of burgers,

0:15:42.560 --> 0:15:45.440
<v Speaker 1>a lot of plants. So instead you take that gene

0:15:45.440 --> 0:15:47.840
<v Speaker 1>and you say, I'm going to use something that can

0:15:48.440 --> 0:15:51.920
<v Speaker 1>grow really quickly, turn over really fast, won't really damage

0:15:51.920 --> 0:15:54.680
<v Speaker 1>the environment, and use that to produce the protein I want.

0:15:54.760 --> 0:15:56.920
<v Speaker 1>So that's the yeast. They use yeas, So you can

0:15:57.000 --> 0:15:59.040
<v Speaker 1>use microorganisms which are really small. You just got to

0:15:59.040 --> 0:16:01.480
<v Speaker 1>feed them some sugar, you know, a little bit of salt,

0:16:01.480 --> 0:16:05.200
<v Speaker 1>some amino acids, add some water. They're happy. And then

0:16:05.240 --> 0:16:08.240
<v Speaker 1>you like how I make cinnamon rolls. Oh well, I

0:16:08.280 --> 0:16:12.280
<v Speaker 1>would like to add that you are using yeasts in

0:16:12.320 --> 0:16:15.880
<v Speaker 1>your cinnamon rolls, and that's what helps it to puff up. Yes,

0:16:15.920 --> 0:16:18.680
<v Speaker 1>because they're releasing gases. That's what makes your dough rise.

0:16:18.800 --> 0:16:22.160
<v Speaker 1>Don't even get me going. So imagine you have huge

0:16:22.280 --> 0:16:25.800
<v Speaker 1>vats of these bacteria or yeasts however they're doing it,

0:16:25.960 --> 0:16:28.320
<v Speaker 1>producing this protein, and then you have a way that

0:16:28.400 --> 0:16:31.000
<v Speaker 1>you can select only the protein and none of the

0:16:31.040 --> 0:16:33.200
<v Speaker 1>other stuff is left behind. And so you just have

0:16:33.360 --> 0:16:36.520
<v Speaker 1>pure protein and a bunch of it, a bunch of it.

0:16:36.560 --> 0:16:40.640
<v Speaker 1>You can make those burgers bleed and sizzle on that grill.

0:16:40.760 --> 0:16:44.400
<v Speaker 1>Baby a meat taste. Yeah, just like that.

0:16:45.320 --> 0:16:47.600
<v Speaker 2>And what really surprised me is when doctor Agapak has

0:16:47.600 --> 0:16:52.360
<v Speaker 2>told us about this recombinant microbial technology process and the

0:16:52.440 --> 0:16:54.520
<v Speaker 2>fact that it's been around for a while.

0:16:54.800 --> 0:16:55.880
<v Speaker 1>She gave us an example.

0:16:56.160 --> 0:16:58.840
<v Speaker 3>One of the most sort of important and kind of

0:16:58.880 --> 0:17:02.240
<v Speaker 3>classic examples of this is how we used to get insulin.

0:17:02.920 --> 0:17:05.320
<v Speaker 3>So in insulin for diabetics used to come from the

0:17:05.359 --> 0:17:09.320
<v Speaker 3>pancreases of pigs. And like one of the earliest applications

0:17:09.359 --> 0:17:12.920
<v Speaker 3>of exactly that recombinant technology, the ability to take genes

0:17:13.240 --> 0:17:17.160
<v Speaker 3>and move them around and start thinking about them as

0:17:17.200 --> 0:17:20.160
<v Speaker 3>these different kinds of machines that can be moved into

0:17:20.240 --> 0:17:24.960
<v Speaker 3>sort of microbial factories. Is the gene for human insulin

0:17:25.119 --> 0:17:28.879
<v Speaker 3>being moved into bacteria. So now instead of pigs and

0:17:28.960 --> 0:17:32.440
<v Speaker 3>killing pigs to get insulin, you can get human insulin

0:17:32.560 --> 0:17:35.280
<v Speaker 3>directly from a bacteria that's growing in a tank.

0:17:35.400 --> 0:17:38.119
<v Speaker 1>Some people were allergic to insulin from pigs, and I

0:17:38.119 --> 0:17:42.720
<v Speaker 1>would imagine that someone who for religious reasons or dietary

0:17:42.840 --> 0:17:48.800
<v Speaker 1>reasons does not want pork anything to enter their body.

0:17:48.920 --> 0:17:51.280
<v Speaker 1>This was probably an issue, and this was a long

0:17:51.280 --> 0:17:54.320
<v Speaker 1>time ago. Did they started doing that synthetic human insulin

0:17:54.520 --> 0:17:57.840
<v Speaker 1>basically insulin produced by bacteria, that was first done in

0:17:57.920 --> 0:18:00.520
<v Speaker 1>nineteen seventy eight's born.

0:18:00.600 --> 0:18:03.560
<v Speaker 2>Okay, so let's get back to heme. This whole process

0:18:03.680 --> 0:18:06.720
<v Speaker 2>we've gone through is just to get one of the

0:18:06.880 --> 0:18:10.000
<v Speaker 2>ingredients for the plant based meat, right, but the majority

0:18:10.000 --> 0:18:12.639
<v Speaker 2>of the patty is still made up of plant proteins

0:18:12.680 --> 0:18:14.040
<v Speaker 2>from peas or soy.

0:18:14.160 --> 0:18:17.760
<v Speaker 1>They're still using plant based protein. They're still using pea

0:18:17.800 --> 0:18:21.600
<v Speaker 1>protein and soy, but they have these features that are

0:18:21.680 --> 0:18:24.200
<v Speaker 1>what we call the especially proteins like heme, which aren't

0:18:24.240 --> 0:18:28.199
<v Speaker 1>present in large amounts. This technology allows you to scale

0:18:28.320 --> 0:18:30.840
<v Speaker 1>up how much hem and how much of the rare

0:18:31.000 --> 0:18:33.480
<v Speaker 1>you know, the rare jewels. It's like a power up.

0:18:33.520 --> 0:18:35.600
<v Speaker 1>It basically allows you to collect way more, you know,

0:18:35.880 --> 0:18:37.399
<v Speaker 1>I don't know if use a place Saga Gena says, well,

0:18:37.520 --> 0:18:40.040
<v Speaker 1>let you collect way more rings, and so now you're like,

0:18:40.040 --> 0:18:43.439
<v Speaker 1>I have everything I need to make the ultimate patty.

0:18:43.480 --> 0:18:47.120
<v Speaker 1>This is a really great way to kind of tackle

0:18:48.240 --> 0:18:51.119
<v Speaker 1>the supplying demand issue right that we have with animals,

0:18:51.160 --> 0:18:54.280
<v Speaker 1>that we have with food in general. There's a demand

0:18:54.320 --> 0:18:56.879
<v Speaker 1>for food, but the cost to the environment to keep

0:18:56.960 --> 0:18:58.880
<v Speaker 1>that supply up is really high.

0:18:59.080 --> 0:19:03.879
<v Speaker 3>Often it is significantly lower impact because the efficiency is different.

0:19:04.160 --> 0:19:06.000
<v Speaker 3>So like when you are you know, you take sugar

0:19:06.040 --> 0:19:09.080
<v Speaker 3>and you'd give it to the yeast, the conversion efficiency

0:19:09.119 --> 0:19:11.760
<v Speaker 3>of that yeast into the hem and the volumes that

0:19:11.760 --> 0:19:14.600
<v Speaker 3>you're talking about are much smaller. And similarly, like the

0:19:14.600 --> 0:19:20.000
<v Speaker 3>conversion of sunlight to p protein is a lot more

0:19:20.000 --> 0:19:24.040
<v Speaker 3>efficient than the conversion of sunlight via grass to cows

0:19:24.080 --> 0:19:25.160
<v Speaker 3>to meat protein.

0:19:25.320 --> 0:19:27.639
<v Speaker 1>We do have to consider the environment and there are

0:19:27.640 --> 0:19:31.040
<v Speaker 1>a couple of ways that this type of technology has

0:19:31.080 --> 0:19:33.800
<v Speaker 1>an impact. You do have to feed these organisms, so

0:19:33.840 --> 0:19:36.680
<v Speaker 1>it's not like, oh, this doesn't cost us anything. These

0:19:36.760 --> 0:19:41.119
<v Speaker 1>organisms don't just like yeast and microbes. Microbes don't just

0:19:41.240 --> 0:19:44.000
<v Speaker 1>produce stuff without any input. There always has to be

0:19:44.040 --> 0:19:46.320
<v Speaker 1>some type of input. I think the convenient or a

0:19:46.440 --> 0:19:49.760
<v Speaker 1>nice thing is that the input is so much lower here.

0:19:50.160 --> 0:19:52.920
<v Speaker 1>Do we need to build that, do we need special lines?

0:19:52.960 --> 0:19:55.080
<v Speaker 1>And you know, is there some stuff that's related to

0:19:55.160 --> 0:19:58.040
<v Speaker 1>the industrial nature of this, Yes, but I think the

0:19:58.040 --> 0:20:01.600
<v Speaker 1>industrial footprint and there's a couple of studies that have

0:20:01.680 --> 0:20:05.440
<v Speaker 1>shown this that the industrial footprint is lower than it

0:20:05.480 --> 0:20:10.280
<v Speaker 1>is for beef, pork, chicken, chicken. And I think the

0:20:10.320 --> 0:20:12.879
<v Speaker 1>other thing that we should consider is the source of

0:20:12.920 --> 0:20:17.919
<v Speaker 1>these materials a lot easier to harvest team from yeast

0:20:18.240 --> 0:20:24.840
<v Speaker 1>making hem than it is hem from big blood and yeah, right,

0:20:25.240 --> 0:20:28.719
<v Speaker 1>And I think that we have to acknowledge that, just

0:20:28.760 --> 0:20:33.680
<v Speaker 1>like doctor Agapacas said about the insulin, you know, there's

0:20:33.720 --> 0:20:37.840
<v Speaker 1>that added benefit. And so by using this recombinant technology

0:20:37.880 --> 0:20:40.119
<v Speaker 1>to let the microbes create what we need, we then

0:20:40.240 --> 0:20:42.480
<v Speaker 1>don't have to have such an impact on the environment.

0:20:42.480 --> 0:20:45.359
<v Speaker 1>Can you imagine growing all that soy, cutting it all down,

0:20:45.880 --> 0:20:48.600
<v Speaker 1>you know, but only only using such a small part

0:20:48.680 --> 0:20:52.320
<v Speaker 1>of it. Yeah, it was a huge waste. And so

0:20:53.320 --> 0:20:56.800
<v Speaker 1>the scientists have found a way, They've found a cheat code,

0:20:57.560 --> 0:21:01.199
<v Speaker 1>a shortcut to getting us it's the same product, but

0:21:01.480 --> 0:21:05.240
<v Speaker 1>with less waste. And I think that is something that

0:21:05.240 --> 0:21:07.760
<v Speaker 1>should not be overlooked, and I actually think this is something,

0:21:07.880 --> 0:21:09.359
<v Speaker 1>This is where we're going to head in the future.

0:21:10.160 --> 0:21:12.879
<v Speaker 1>Because now what we're talking about is just using this

0:21:13.000 --> 0:21:16.760
<v Speaker 1>technology to make one small component of a larger product.

0:21:16.960 --> 0:21:18.639
<v Speaker 1>But some people are starting to ask, well, if I

0:21:18.640 --> 0:21:20.640
<v Speaker 1>can use the lab to make this one thing, can

0:21:20.680 --> 0:21:24.320
<v Speaker 1>I make animal protein in the lab? Can I make

0:21:24.400 --> 0:21:28.560
<v Speaker 1>animal tissue? Can I make Yeah? And so now we're

0:21:28.560 --> 0:21:31.840
<v Speaker 1>talking about real funny about that they are, But you

0:21:31.920 --> 0:21:33.760
<v Speaker 1>don't feel funny when they grow the skin and give

0:21:33.800 --> 0:21:36.439
<v Speaker 1>you a skin graph that you don't You take that

0:21:36.480 --> 0:21:38.479
<v Speaker 1>skin graft and you walk out of that hospital. I

0:21:38.520 --> 0:21:41.840
<v Speaker 1>know that that's high. I know that's not the major

0:21:41.920 --> 0:21:43.960
<v Speaker 1>way that things are done now. Most people have skin

0:21:43.960 --> 0:21:46.560
<v Speaker 1>graphs from other areas on their body. But that is

0:21:46.600 --> 0:21:49.760
<v Speaker 1>a that's new technology, right, And so you really have

0:21:49.800 --> 0:21:52.280
<v Speaker 1>to ask where will we draw Where do you draw

0:21:52.320 --> 0:21:55.199
<v Speaker 1>the line? Yeah? I guess it's just basically up to you.

0:21:56.119 --> 0:22:00.480
<v Speaker 2>What do you feel comfortable with and what impacts do

0:22:00.480 --> 0:22:03.640
<v Speaker 2>you want to make on society? And once you weigh

0:22:03.640 --> 0:22:06.280
<v Speaker 2>those things out, you can make an informed decision.

0:22:06.440 --> 0:22:08.119
<v Speaker 1>I guess now we now we just gotta stick to

0:22:08.119 --> 0:22:10.680
<v Speaker 1>our crumbles. We gotta stick to those crumbles and patties.

0:22:11.280 --> 0:22:14.000
<v Speaker 1>But I hope to elevate up too. You think you

0:22:14.400 --> 0:22:18.680
<v Speaker 1>think you're gonna be a vegan. No, I'm sorry. Even

0:22:18.680 --> 0:22:21.199
<v Speaker 1>when I was, I liked the flavor. I don't have

0:22:21.240 --> 0:22:22.719
<v Speaker 1>to eat the meat, but I need it in there.

0:22:22.760 --> 0:22:26.320
<v Speaker 1>I need bacon flavor. I need bacon flavor.

0:22:26.800 --> 0:22:29.400
<v Speaker 2>If hey, scientists, wake up, If you can do that,

0:22:29.760 --> 0:22:32.720
<v Speaker 2>I'll be right on board. Yeah. I would put bacon

0:22:32.760 --> 0:22:34.840
<v Speaker 2>flavor on everything. I'd put it in my toothpaste.

0:22:35.040 --> 0:22:35.919
<v Speaker 1>Oh t T.

0:22:39.560 --> 0:22:41.440
<v Speaker 2>If you lick a burger patty, does that make you?

0:22:41.800 --> 0:22:43.680
<v Speaker 2>Does that mean you're eating meat? I think you gotta

0:22:44.240 --> 0:22:46.919
<v Speaker 2>like masticate like so, if I lick a patty, I

0:22:46.920 --> 0:22:48.040
<v Speaker 2>can be vegetarian.

0:22:48.840 --> 0:22:51.520
<v Speaker 1>If you're thinking about that, you're not committed to the

0:22:51.600 --> 0:22:56.240
<v Speaker 1>vegetarian lifestyle. Oh it's just so hard. Yeah, we won't.

0:22:56.760 --> 0:22:59.600
<v Speaker 1>Don't bother joining the group. I don't think you're gonna

0:22:59.600 --> 0:23:02.240
<v Speaker 1>make it. See now she's trying to challenge me. I

0:23:02.320 --> 0:23:05.240
<v Speaker 1>know my friend. If it's one thing my friend will

0:23:05.320 --> 0:23:07.760
<v Speaker 1>rise to. It is a challenge. She does not like

0:23:07.800 --> 0:23:09.159
<v Speaker 1>you telling her she can't do something.

0:23:09.280 --> 0:23:10.920
<v Speaker 2>That means I need to head to the grocery store

0:23:11.000 --> 0:23:14.280
<v Speaker 2>and buy those plant based meat crumbles or whatever they're called.

0:23:14.440 --> 0:23:17.679
<v Speaker 1>Oprah said ten days was enough. Lets you do a

0:23:17.840 --> 0:23:20.760
<v Speaker 1>ten day vegetarian challenge.

0:23:21.000 --> 0:23:23.800
<v Speaker 2>Okay, so we're gonna put it up on the instagrams

0:23:24.200 --> 0:23:28.000
<v Speaker 2>as we do, and whoever is opting in, you gotta

0:23:28.080 --> 0:23:28.919
<v Speaker 2>send us a picture of.

0:23:28.920 --> 0:23:33.840
<v Speaker 1>Your food every day. Yes, this is intense. I'm ready

0:23:35.040 --> 0:23:35.920
<v Speaker 1>put them on the stories.

0:23:36.000 --> 0:23:37.960
<v Speaker 2>I'm I'm gonna fail the first day because I'm gonna

0:23:37.960 --> 0:23:40.840
<v Speaker 2>forget and I'm gonna be like, I had eggs this morning.

0:23:41.240 --> 0:23:43.240
<v Speaker 1>That's like, did I tell you my dad we were

0:23:43.240 --> 0:23:45.240
<v Speaker 1>doing that thing? He said, Oh, I messed up. I

0:23:45.280 --> 0:23:49.919
<v Speaker 1>had brisket for breakfast. Who eats brisket for breakfast? That

0:23:50.040 --> 0:23:54.320
<v Speaker 1>sounds just right. That sounds just like Curtis. That sounds

0:23:54.560 --> 0:24:09.400
<v Speaker 1>just right. That's it for Lab nineteen.

0:24:09.800 --> 0:24:11.880
<v Speaker 2>Don't forget to check out our website for a cheat

0:24:11.920 --> 0:24:14.760
<v Speaker 2>sheet on today's episode. You can find it and sign

0:24:14.840 --> 0:24:18.080
<v Speaker 2>up for our newsletter at Dope Labs podcast dot com.

0:24:18.119 --> 0:24:20.879
<v Speaker 1>Also, we love hearing from you. What did you think

0:24:20.920 --> 0:24:23.440
<v Speaker 1>about today's lab? What are your ideas for future labs?

0:24:23.520 --> 0:24:26.200
<v Speaker 1>Our number is two zero two five six seven seven

0:24:26.320 --> 0:24:27.040
<v Speaker 1>zero two eight.

0:24:27.280 --> 0:24:29.560
<v Speaker 2>You can also find us on Twitter and Instagram. At

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<v Speaker 2>Dope Labs podcast.

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<v Speaker 1>TT is on Twitter at dr Underscore, t Sho and

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<v Speaker 1>you can find Zakia at z Said. So follow us

0:24:37.880 --> 0:24:40.640
<v Speaker 1>on Spotify or wherever else you listen to your podcast.

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<v Speaker 1>Special thanks to our guest doctor Christina Agapakis. Find out

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<v Speaker 1>more about her work in the show notes. Dope Labs

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<v Speaker 1>is produced by Jenny rattlet Mass of Wave Runner Studios,

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<v Speaker 1>mixing and sound design by Hannes Brown. Special thanks to

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<v Speaker 1>Jen Stanley.

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<v Speaker 2>Original theme music is by Taka Yasuzawa and Alex Sugiura,

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<v Speaker 2>with additional music by Elijah L.

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<v Speaker 1>Harvey. Dope Labs is a production of Spotify Studios and

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<v Speaker 1>Mega Owned Media Group and is executive produced by us T. T.

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<v Speaker 1>Shadiah and Zakiah Wattley.

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<v Speaker 2>I know what you're thinking, Oh, I don't want all

0:25:13.920 --> 0:25:15.880
<v Speaker 2>these GMOs.

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<v Speaker 1>Well, TT wants to fight you. Let me tell you

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<v Speaker 1>something