Proteomics in Proximity

Introduction to the hosts of the Proteomics in Proximity podcast, Dale Yuzuki, Cindy Lawley and Sarantis Chlamydas, with their respective backgrounds in academia and industry.

Show Notes

In case you would like to learn more about our backgrounds, Cindy’s LinkedIn is here, Sarantis’ is here, and Dale’s is here.

For more information about the UK Biobank, an Olink to Science blog post called “Genetic Regulation of the Human Plasma Proteome in the UK Biobank” is available here. The preprint publication itself is available here on bioRxiv. If you’d like to see a great 15 minute presentation on what the goals are for the UK Biobank Pharma Proteomics Project, Dr. Chris Whelan (Biogen) presented this YouTube video at one of the UK Biobank’s scientific meetings that is worth watching.

If you would like to contact Dale, Cindy or Sarantis feel free to email us at info@olink.com

In case you were wondering, Proteomics in Proximity refers to the principal underlying Olink Proteomics assay technology called the Proximity Extension Assay (PEA), and more information about the assay and how it works can be found here.

What is Proteomics in Proximity?

Proteomics in Proximity discusses the intersection of proteomics with genomics for drug target discovery, the application of proteomics to reveal disease biomarkers, and current trends in using proteomics to unlock biological mechanisms. Co-hosted by Olink's Dale Yuzuki, Cindy Lawley and Sarantis Chlamydas.

Welcome to the Proteomics and Proximity podcast,

where your co-hosts Dale Yuzuki,

Cindy Lawley and Sarantis Chlamydas from Olink Proteomics

talk about the intersection of proteomics with genomics

for drug target discovery,

the application of proteomics to reveal disease biomarkers and current

trends in using proteomics to unlock biological mechanisms.

Here we have your hosts, Dale, Cindy and Sarantis.

Welcome to proteomics and proximity.

I am Dale Yuzuki, your host with my two co-hosts

Sarantis and Cindy say Hi! Hey there.

Oh, hello there.

Nice to see you.

For our inaugural episode.

Yes, the very first episode.

We'd like to go ahead and have you

the audience know
a little bit more about us and Sarantis,

would you mind going first and telling us
a little bit about your background.

Yes, thank you.

Thank you, Dale. Yes, yes. Tell us.

I just

start my bachelor and my PhD in Italy,
in south Italy,

studying
Drosophila genetics and epigenetics.

Oh, that's great. I yeah.

You're a real geneticist.

He's a real geneticist.

And then I moved to Max Planck Institute
for epigenetics in Germany,

where I joined the Lab of Dr. Asifa Akhtar ,
the director of the institute

working on chromatin gene regulation
and nuclear functions.

And so wait a minute, wait a minute.

Max Planck has a center for epigenetics.

Yes, it was a center for immunobiology and epigenetics.

And I think one of

the first worldwide nominated epigenetics institutes actually

And I was really happy
and it was really lucky

because I got to work with Thomas Jenuwein

Also was able to work with the famous SU(VAR)3-9, the code,

the epigenetic codes
and they was really, really nice times

when epigenetics was emerging in the gene regulation field

and after staying
for quite a long time, scientists.

How long's a long time?

I More more
a little bit more than seven years.

I say, okay, actually.

And then I join industry

and Activ Motif for doing

consultant for Epigenetics Project

and since December I am part of the great Olink team.

as the scientific director for multi-omics where I try to match

the proteomics and preach the importance of proteomics in multi-omics work.

And I'm really proud and happy

to see how people they like proteomics
and how and what's expanding to.

And the affairs of the heart

Yeah, right Sarantis.

And this is true, this is true

The affairs of the heart,
referring to Cindy.

Too, that he cardiology,

cardio, metabolic, those

that sort of broad umbrella of of disease

types that that I think Sarantis
has learned a lot about.

So Sarantis what led you to industry?

What made you decide
to move from academics?

That's great. So that's a great question.

I guess I’m always asking myself… why has this happened? That is to say

I think the motivation and the thing and let’s say the general question

to learn more and to get to know
about novel technologies.

I think at the point in the academia
have reached my top level,

my top level
and I wanted to explore more fields.

I want to explore technologies
and how this can be applied

to the day by day
basis to the disease areas.

Right.

And I think Olink offers me

this possibility
to apply my basic knowledge in science

to application to translational medicine
and to biomarker discovery.

And that I can tell you
it's a great journey already.

Well, we're certainly luckily
lucky to have you, and that's for sure.

Very lucky with you.

Was that a hard transition to capital?

Was that a hard transition?

No, actually not.

Not at all.

Because, I mean, in industry we are doing science

and we are doing the high profile science
and we are dealing with high technologies

and novel technologies.
And it was really smooth.

I never actually I feel like I never left academia because I’m always reading papers

I try to be updated

for the novel technology and discussion with scientists and discussion about projects

and I'm bringing the value
to the scientific life

and that that's that's really amazing.
It's really exciting.

I haven't seen any change in my daily
life, that's for sure.

I see. And officially, your title at Olink is?

Scientific Affairs for Multiomics

nd I’m also taking care of cardiometabolic disease areas

Yes, I see.

But this is scientific affairs which is a unique discipline

within commercial activities.

Yeah, yeah, yeah.

I mean I breach commercial, R&D, marketing

My goal is to preach about the use
of proteomics to the multi-omics work

and to match the basic research
with translational research.

So that's yeah,
that's my goal actually. Yeah.

And getting back to your work
at Max Planck as well as Active Motif

was the main method of epigenetics
looking at five methyl cytosine

or were you looking at
also histone modifications and the whole?

I mean, we are

we are focusing mainly on histone modification, transcription factor binding

Of course we have done studies on methylation

but our main focus is on histone modification, histone code”

accessibility of the chromatin
and how these may interfere

with the gene expression and how this
regulates the gene expression.

This was the main focus.

So it's a really nice connection to the

to the mechanistic sites,
you know, of the nucleus.

Yeah.

You can see accessibility of the chromatin and connect it to the gene expression.

And now of course abrogates and now coming from the protein side

You get the real phenotype right and.

You get what all of those upstream
aspects have affected.

Right, which is exactly what I what I'm
attracted to around proteomics as well.

That's great.

And in
all that work around gene expression,

was there concern that the relationship

between RNA presence or absence

with all that complex epigenetics
upstream of that, that connection

between the presence of RNA
and the actual protein,

was that ever a concern of researchers
in terms of that linkage?

No, I haven't see the concern,
and I don't think that's a concern

because it’s, of course it’s a question

The scientific basis depends upon the question that you have

Right. But there's a complementarity.

There's a complementary

because you learn different things from
proteomics will have different things

for transcriptomics
they have quite an overlap.

Not really nice correlation,
not really high correlation to be correct.

But this is normal
because this is biology.

There is a lot of steps from regulation
to translation

to translation to translation
with protein translation.

There's transcription regulation
for epigenetics of transcriptomics,

but it's also the beauty of science
in order to get a better

vision
and connect better genetics to phenotypes,

I think you have to apply

both transcriptomics proteomics
and actually you have to apply multi-omics

approaches, right.

That's
that's the really beauty of science.

Well,
and we've seen we've seen this transition,

of course, from bulk RNA
as as the technology has evolved from bulk

RNA sequencing to single cell sequencing,
which I think is enormously

helpful
in understanding mechanistic biology.

So I think, yeah,
RNA is, is getting at real time

biology and I think proteomics is as well.

Yeah, that's so interesting, that background.

Single cell is where the entire field is going.

And though, I mean there's
so much interesting biology to reveal.

Thank you, Sarantis.

I know your background in epigenetics
gives

a unique perspective
on this particular podcast.

Appreciate it.

Really does. And Cindy,
what about yourself?

So background.

Sure. So I yeah,

I did my undergrad in bio psychology,
so I thought I'd be in neurology.

I thought I'd work in that field.

I think I,

I somewhere in my, in my final year,
maybe my junior year, I realized that,

that the tools were were hard to implement
that there it was just really hard to

to to
get at what's happening in the brain.

And and so I just started
looking around for, for

what was it about biology
that was so fascinating to me.

And so I, I actually have
a similar background to you.

I taught high school for a little bit

while I figured that out, and then
I went back for evolutionary biology.

So I became… gained clarity I should say around my fascination

with understanding how we reconstruct
what's happened in the past to understand

systems today and ultimately did my Ph.D.

in a in a biological system in the ocean.

So worked for fisheries ended up working

for fisheries for ten years
like look at using genetics as tools.

So I make the comment about Sarantis being a pure geneticist, right?

Because calling me a geneticist when I'm
really just using genetics as a tool,

you know,
I've, I've thought about that a lot,

but I guess, I guess we're all we're
all pushing the field forward.

Right.

So wait, when you talk about fisheries,
you're talking

about places
like in Maine or down in Florida.

Gloucester. Right.

Or or the coast of California or.

Yeah, Newfoundland or certainly Iceland.

Norway. Yeah.

Some of your work took you or your
research took you to far flung places.

I yeah, I was I was really lucky.

I was really fortunate.

Well, were you
then involved in some of the

grittier, dirtier
aspects of the fisheries industry?

By that I mean I can just imagine.

Did I go on boats?

Yeah, yeah.

Specifically, that's what I think.

I think I
you know, I remember after my after

my presentation
for my dissertation, somebody said to me,

so you just did one cruise?

And I was like, Oh, I made a mistake.

I really should have emphasized
how many cruises.

I think there was eight cruises that that

that contributed in some way

to the, to the final,
you know, dissertation.

They would call it a cruise literally.

I guess.

Yeah. My association with cruises.

Yeah.

In fact we had cruise directors.

Right.

See I think about the Love Boat or
something, you know, so when you're a kid

But then you are collecting samples, are you collecting samples then?

And you said.

That's right. On tour,
but you have it done.

So both adult samples
and some cruises that that was the focus.

And so there was actually a lot of scuba
so working off of those NOAA ships,

but also larval samples.

So it turns out with some of these fish
that live that are bottom dwellers,

that you can't just collect them as larvae
along the bottom.

They're actually pelagic.

They actually move through the water
column as they develop and then eventually

settle into places like kelp beds,
depending upon the species.

And so we needed to understand
their life history.

You know, it turns out that,
you know, people may not think about this.

I didn't before
I worked for the fisheries, but

the burden of demonstrating

that we're overfishing
is on the managers of the fishery.

And so collecting the information
to demonstrate that is is essential,

especially if you want buy in
from the fishermen

whose livelihood depends upon being able
to have access to those fishery sites.

So a big part of my dissertation
was looking at marine

protected areas
and characterizing the scale at which

they could help reseed the fishery outside
the protected area.

Yeah, that’s cool.

Wow. You've been places.

You've seen things.

So have you.

You both have, right?

I mean, I think I just have to emphasize
that Sarantis wins

the prize for knowing the most languages
in this in this group.

How so.

Yeah. Sarantes. How many languages do

you know?

Only three for the moment
then Germany, Italy and Germany.

A little bit.

And I apologize again
for my German friends.

So I never managed to.

I think, conversational
and in German at the very least.

But yeah.

Yeah.

Well I’ve to give Sarantis the most languages prize

There we go. There we go.

And I get the most cruises prize maybe.

There you go.

That's for definitely. That's for sure.

Then how did you end up in industry,
Cindy?

You know, I transition to industry.

It was a big surprise to me.

I had been

suggested for a position
at this little company

that I thought was probably,
you know, it had a lawsuit against it.

It was I had a friend who worked there,
this little tiny startup.

I thought it was tiny, about 150 people.

I guess that's mid-sized these days. But

and so I she said
this job would be perfect for you.

And I said, I'm
really looking for something an academic.

And I had an eye
on a couple of postdoc positions

along the coast and of the U.S.

on the West Coast here.

And and I said,
well, I'll go interview just

for the practice
and I'll learn a little bit.

And I was so blown away by the technology

and just the ability
to support technology.

That is a rising tide that lifts
all boats like that just blew my mind

and it felt like an opportunity to learn
so much about so many different fields.

And I think have after having been,
you know, what it's like in a Ph.D.,

after having had your nose
to the grindstone in a system

and learning it to the extent
you need to to be credible.

And in getting that Ph.D.,
this was just so different and so

it was just so awe-inspiring

I was really excited about the technology.

Cindy, what was the company?

Well, you were there.

So I asked.

You couldn't
tell me what the name of the company is.

It was Illumina.

It was Illumina.
And I ended up staying for 14 years.

So it was
it was such a good such a good time.

So I joined in the very early days and.

And for 2004.

That's right.

Yeah. I remember trying to negotiate.

You know, you're coming out of a PhD

in the industry like you got
no no where to negotiate from.

Right.

So I was trying to negotiate
a little extra time

before I started in the position
and I got two weeks

from the time I defended my dissertation
to the time that I,

I remember my mother and I
went to travel in New Mexico.

It was a fantastic trip.

But yeah, I started,
you know, almost right away.

It was it was quite.

Quite a New Mexico
was how you spent those two weeks.

Right, right. Sorry. Yeah, yeah.

Okay.

And yeah,
but I. Was born in New Mexico, so.

Oh, okay.

I'm guessing that there
were a lot of DNA sequencing at the time.

What was the most weird species
that you were

You were sequencing at the time?
What was the most wierd projects

that you had? One of your first let's say.

One of the first projects? Yeah.

So I'll tell you, one of my first projects
was working with Decode Genetics.

And so I remember and I, you know,
I had no idea

the impact they had on,

you know, steering or anticipating,
I should say,

you know,
where the field might go and various.

Sarantis, to clarify, right this is before NGS, so at the time Illumina

was just offering genotyping.

That's right so it was.

Yeah so 2003 Illumina launched an 1152

plex, Golden Gate genotyping platform.

And then Illumina was able to sew-up a lot of the HapMap projects

that were going on.

And this was again
after the genome project

right to characterize variation
across populations

And Cindy, your first role was it as a Project Manager?

Yeah, I was a project
manager within the scientific

team that delivered data to customers

that were sort of testing out
the technology in order to determine

whether they wanted to invest in a BeadLab or a BeadArray Reader

Now, the bead lab was the big genome
center, you know, offering.

It was a million dollars. $1,000,000, a LIMS liquid-handling automation system.

Yeah.

Yeah, it was, you know, an
I had not worked at that scale before.

So seeing the number of samples
and the number of variants

within the genome that were query able at
that point was just mind boggling to me.

And the person that interviewed me was

just such a, such a a great people person.

He just listened to all my,
you know, objections or all my,

you know, you know, questions
about the technology was so patient.

And I thought, you know,
I could work for this person.

Who was it by the way.

John Stuelpnagel. Oh Okay

One of the founders of Illumina.

That's right. He was he was very,

you know, just a great a great leader.

Just a great person to learn from.

And for those of you
who may not be familiar with the name,

he is the principal behind many, many companies

After Illumina.

Successful companies.

Many successful companies.

Yeah, right. Yeah.

And what's I find fascinating,
right, is at that time

1152 Plex blew people's minds.

as far as how many genotypes you can get at the time

because people are used to like mass

spec methods, right? From

what is that San Diego company
that whose name I

can't remember.

Sequenom.

Right.

Yeah, it was a handful, maybe ten or 15 SNPs at a time for a sample

and you go from 15 at a time
to over a thousand.

And then of course the first HumanOne Genotyping BeadChip

which you know, I was involved
in the development of that was 108,000.

So you go from right one 1100

to 108,000 to the first HapMap chip that was over..

Remember, we had a
we had the gene chip in between.

We had a 10,000 chip in between.

Oh I don't. Remember. Was gene centric.
Yeah.

Yeah. Okay. And there was the HapMap chip. But it didn’t it”

Yeah. Yeah.

But then really quickly that 300
the HapMap 300

that was tag-based SNP selection you know

intentional SNP selection to collection additional information

beyond just the ones you're querying
because you have some understanding of,

of genomic diversity within the population

that quickly overshadowed
that gene centric chip.

But I thought that gene centric chip with
maybe it was 100,000,

maybe that's the one you're thinking of
to the.

Yeah, the what's interesting
is the parallels to today.

Right.

Where Olink’s competitors on the low-plex side

They do four plex,
they do ten plex, they do 20 plex.

And now Olink comes out with a 96-plex and then panels of 96

and then 1536 and then now 3000.

Okay.

May not have ramped as quickly due to the inherent challenges right

of various complexity of proteins.

They have a dynamic range,
those little buggers.

Yeah. Yeah.

And it's fascinating to think
well we're on a similar

multiplexing track here and right.

and history is prologue.

It really does
give us ideas of where the future is.

Yeah.

And I think we can think about it
quite a quite

similar to genotyping right targeted

locations in the genome.

It's, it's a great way
to get a general view of the whole genome.

It's sort of like a satellite view
of the genome before sequencing

technologies evolved to be so accessible
and so affordable.

And I think we're we're going to
hopefully we see these technologies

on the on the horizon that may offer

a future of next generation proteomics

or maybe next next generation proteomics

that maybe one day
we'll be able to sequence the proteome.

I think the that mass spec is beautiful
because you can see everything,

but you're limited
by how much you can push through.

So those low, abundant proteins
are really, really challenging

with that technology.

So I think that's where we're we're nicely
complementary to existing methods.

I mean, here it is. Cindy,

How was the transition for you, how to do you see genomics through proteomics?

How was these transitions
actually for you?

Yeah good question so

so you know that that

I got I was pretty clear

about what was motivating to me
about the genotyping technology

and then ultimately the sequencing
technology you know, I stuck around,

you know, holding that tiger by the tail
while,

you know, it blew into the Illumina that it is today.

And I, I really wanted

a way to understand the

the impact genetics
is having on more real time health.

And so I actually had a stint at a company
called Metabolon,

looking at metabolomics now talk about
complexity of of biological pathways.

Right.

And, and I was there
until I saw the launch of the NGS readout

on the proteomics at Olink
and that NGS readout,

I was an AHA for me and I thought,
well, I can, I can help with that.

And I'm excited about that.

You know, specificity, you know,
the quality of the assay, which I think

I think is, is exciting because
you want to be able to make discoveries

and then drill in to those discoveries
and focus in on on individual targets.

Right.

So that's the that was the attraction.

And I actually approached Olink and said,

you should hire me.

Just like that.

So cheeky, right?

Never, in… a million years would I expect myself to have done that

But yeah, they were,
they were very amenable.

I had a great experience with that.

And I will say working
for a Swedish company with a U.S.

representation is, is a really nice

it blends some nice qualities.

It's remarkable.

Before I joined Illumina in 2003 I was at QIAGEN

a German company, for four years
representing their commercial efforts.

And this is, of course, to 1999 to 2003,
where

I saw through the whole genome project
from the lens of a sample

prep provider
for the Human Genome Project.

Of course, at that time Affymetrix
had just grown like gangbusters.

And all this interest in whole genome
transcription expression analysis via

microarrays and coming back to a company

that's from Northern Europe

and it just the precision in

and QIAGEN was wonderful because the engineering mentality”

is very much exhibited,
right, the precision of their,

of the assay development
and of the product development

and at Olink I see shade of that as far as very disciplined

approach to accuracy,
to the quality of their product.

There is a lot of care taken, right.

And it's a great cross-functional
collaboration here at the company.

And I think we all know
that the more contribution

you get from diverse opinions, the better
your products going to be, provided

you also have that discipline
to ensure that you've got the specificity.

So anyway, it's a it's a fun, fun ride.

Sarantis, I'm curious what you're
so what you're most excited about

in the coming year

at Olink, in your role.

I am really excited to see that data integration”

of really multi-omics data coming true, you know because we hear a lot of

multi-omics we hear a lot of this buzzword
multiomics,

but we are not still there,
you know, the different regions

and I think Olink offers the perfect tool being an NGS-based assay

mainly to create this,

multi-omics approach in life, to bring it to life

And I'm really excited to see projects
coming really multi-omics projects

that they have epigenetics,
they have transcriptomics,

they have proteomics,

they have genomics, that it will be
really the future of of science.

What do you think
has held that back so far?

Like why do you think now
is the time? Right.

I have this this sense
that we're in an inflection point.

Right?

There's this there's this energy for sure
when I go to conferences.

Sure. And so I'm curious.

You're your perspective
on that Sarantis.

Now, I'm really happy
to have your feedback on that

because it's really an open discussion.

I would really like to know
from your side,

say this, I see that
I think that people in regards of proteomics

the making, let’s say the Mass Spec assay was must because

it was really difficult
to break into the multi-omics work.

I think having an NGS-based approach to this makes things easier

I suspect big data,

you know, having expensive experiments,
the sequencing is is a quite

is not an easy experiment to do
you need bioformatics tool,

we need bioformatic analysis

you need the specific platforms
that they can integrate this data

that they are not very well advanced. Let’s say their data analysis.

Yeah.

They are not so well advanced in the sense
that they are really

not easy, accessible
to everybody in this respect.

Of course they are advanced,
but not the science

that will be accessible to everyone, it has to be easy for everybody

and they are not there for the multi-omics approach but we hope soon

Yeah. What do you think from your side?

Yeah, I was just going to say, I think
I think you touched right on what I

when I come across a lot
is this analysis piece and having

having tools to make those analyzes happen
where you're integrating these data

because some of the platforms
allow the data to sit by side by side.

But, but actually having scripts and tools
that are that are bringing those data

together in a multi-omics
analysis is not trivial.

But I think maybe part of the as
you were talking,

I was thinking maybe maybe part
of this sense of urgency and excitement

is, is all that's happened in the UK
Biobank in the last five years.

Right.

The exome sequencing,
the whole genome sequencing.

Now the proteomics
that's coming out of the UK Biobank

and making those data accessible means
that there is a playground

for people to advance their skills,
to integrate those tools.

And it's very cohort projects as well,
you know, not just the UK

Biobank, but it's
certainly the buzz at ASHG every year.

Sorry, go ahead.

It is ‘the’ definition of big data

Right.

Is volume, its velocity and its variety.

So we have a big data problem, right.

Was we have whole genomes at scale.

You've got whole transcriptomes

at scale. We have whole epigenomes

And now we are going to overlay proteomes?

You know,
these are different types of data

in large scale, in multiple dimensions.

Yeah.

And I think I think that back
to Sarantis comment about mass spec.

I think that was the barrier
maybe is that you know mass spec it's

hard to get a lot of samples
through under this sort of service

wrapper conditions where you're you're
controlling variability and then and then

feeding it
into what you're talking about Dale,

integrated project with, you know,

50,000, 100,000, ultimately,
you know, half a million samples.

It's and we can't talk about mass
spec as a monolithic item, right.

Because of all the infinite amount of
varieties of.

GC, LC, tandem. Yeah

And timsTOF,
I mean you just go down the line

in terms of everything from sample
prep all the way through the technology,

all the way through the analysis,
bottom up proteomics,

top down proteomics
and everything in between.

Yeah, it gets really complicated
from even the analytical chemistry side.

Yeah.

Is absolutely that monolitic
is really a lot of advances.

Also the single cell proteomics space, right?

I mean the single cell proteomics
protocols, they're designed to done

by mass spec.

Nowadays
I think there are different questions

and there are different
scientific questions

that I think get different answers from a Mass Spec and Olink approaches

PEA approach, I think they can really nicely complement

And that's,
that's the beauty of science, right.

That isn't out there.

Really nicely complimenting can take
really nice and integrated information.

So that's.

That's right.

That's right. That tied right up.

Oh, there's all this great stuff.

Alas, we just have a few minutes left.

Does anybody ever ask me
about my background?

I can ask before
I wanted to ask you that question.

QIAGEN was your first, it was your first?”

That was my first. That's correct.

Well, before that, I was a manager
of a small laboratory in Santa Monica.

I worked for a P.I., Dave Hoon, whom we worked on tumor immunology back”

in the late nineties when nobody worked on tumor immunology except for

Don Morten there at the

John Wayne Cancer Institute in Santa Monica, and then Rosenberg here at the NCI though

They were the only two working on tumor immunology

And now how I look at it
now, wow, you were a pioneer.

Incredible.

And then that time at QIAGEN was fascinating because I started

with customer service – technical support, 1-800-DNA-PREP

And the manager of that department is Kirk
Malloy, who ended up joining Illumina

at the end of 2002

and invited me to interview,
invited me to take a tour,

and I’ll never forget the tour I had because he showed me the ‘Oligator’

the Vacuum Box and all of its 96-well glory.

And this was, Sarantis,

their secret sauce Illumina's
the ability to make

very inexpensive oligos at scale.

And so they developed this method,

and Cindy is putting up her little....

That's me! A piece of history.

Illumina.

Different haircut, you know.

That led to the coincidence of the fact

that we're side by side,
we're right next to each other and that

yeah.

So those were kind of, like Cindy said,
kind of scary days, right?

Because it was a small company
that had...

We had a lawsuit, remember,
there was a lawsuit over...

There are several lawsuits.

Actually, there was a lawsuit
there was from another company.

And I learned now that, you know,
maybe that's a badge of honor sometimes.

But I didn't know that then.

I thought I thought it was going to be,
you know, the death of us.

You know, I had no idea.

And then there was a
there was another lawsuit.

I can't you know, both of them
ended up being, you know, just

just indications of success,
I think, when we look back.

But, yeah, yeah, yeah.

I think the secret sauce. Right.

Was not just the right technology, really,

it's the people behind the technology.

It's also the creative thinking of people
behind the technology in terms of

what are the critical things to work
on, what is the critical

fundamentals of the business
to make it successful?

And I can say career wise, right,

I've I've been in a lot of different
genomics companies.

It was 17 years from that time leaving QIAGEN, and then to come back to Olink

yeah, the 17 years and the in between so much
I've learned in the genomics realm.

And then now to bring it back home
to proteomics.

Yeah, bring it back to very close to
common disease, very close to

rare disease, very close to

population health, very close to wellness,
very close to aging.

Do you realize the advances
we've made in cancer have been remarkable

because of a focus on therapeutics
and prevention?

Can you imagine doing the same thing
to longevity

and aging to make similar advances?

And we're on the edge. Of prevention,
right?

There's the potential. Yeah. Yes.

It's remarkable times
we're living in from the point of view of

measuring proteins at the scale
that we're talking about

can have true impact
on cardiovascular disease like matter.

Matters of the heart.

Just as well as right population

health with the UK Biobank, like you
mentioned, Cindy, what a amazing resource.

I mean, yeah, what is it?

500,000 healthy individuals
measured from 2006 onward.

Yeah. And not checking. In.

Go ahead.

Not to forget or to close the loop.

You know, we're right back with Decode
Genetics. Right.

They're also very engaged.

So what led you to industry, Dale?

I think what it was was an opportunity,

the opportunity to apply
a lot of what I know as a scientist,

a lot of what I value in terms
of learning about science in a new way.

And that is the combination of science
with business.

And it's fascinating, right?

Some of my favorite classes
as an undergraduate were in psychology,

and now I get to use that every day
in a marketing role

because I'm thinking about the psychology
of buying behavior, the psychology of,

you know, what messages
resonate, the psychology of,

okay,
if somebody's searching for solutions

from a search engine, what terms do they use to find Olink Proteomics?

I mean, yeah, it's yeah that's
part of my day to day believed.

Is understanding people's motivations.

Yeah back to the people right.

Back to the people.

And I think what's fun about the a holding
a podcast

and this proteomics and proximity is that

we get to talk as people about science.

We will interview people as scientists,
we will go ahead and talk about papers

that people have written,
their conclusions, their ideas.

And so it's
I think there's going to be a lot of fun

to talk about sort of papers
in the context of

like a journal club, I think will also be
really interesting to bring in guests.

and certainly Sarantis and Cindy you have some ideas of who you’d like

to bring on in this remote
kind of personal and intimate environment.

And then we can just
the three of us talk a lot about fish

or larvae… or what’s it

like to scuba dive in Nova Scotia or wherever it was you were.

Yeah.

Or maybe what's it like to work
for one of the leading institutes in Germany?

They're on a true model organism
from a true geneticist, no doubt.

Right? Yeah.

And if we can give some perspective
to maybe graduate students who are

who are finishing up their Ph.D.

around ideas of what

it's like to be in industry,
I'd love to contribute to that as well.

I'm pretty still pretty passionate
about working with students.

Great. Well.

Again, people, right? People and people.

Well, we got to get that in there.

You got to get in there.

All right.

Well, until next time, take care audience.

Thanks for joining. Thanks.

Thanks. Bye. Thank you. Thank you. Thank

Thank you for

listening to the Proteomics in Proximity
podcast brought to you by Olink Proteomics.

To contact the hosts
or for further information simply

email info@olink.com.