Voice 260530_132738
May 30, 2026 07:00
· 52:32
· English
· Whisper Turbo
· 6 Talare
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Speaker 1 (Voice 260530_132738)
I have
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Speaker 2 (Voice 260530_132738)
the same things in my mind.
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Speaker 2 (Voice 260530_132738)
I just
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Speaker 2 (Voice 260530_132738)
looked very clear into it yesterday.
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Speaker 1 (Voice 260530_132738)
How was the practice
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Speaker 1 (Voice 260530_132738)
yesterday?
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Speaker 1 (Voice 260530_132738)
I know it's short,
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Speaker 1 (Voice 260530_132738)
like five minutes.
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Speaker 2 (Voice 260530_132738)
It was good.
1:01
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Speaker 1 (Voice 260530_132738)
Any comments or any subjections?
1:04
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Speaker 2 (Voice 260530_132738)
Yes,
1:05
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Speaker 2 (Voice 260530_132738)
I discussed with Dr.
1:06
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Speaker 1 (Voice 260530_132738)
Thay.
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Speaker 2 (Voice 260530_132738)
T -E -H,
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Speaker 1 (Voice 260530_132738)
Dr.
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Speaker 2 (Voice 260530_132738)
Teh.
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Speaker 2 (Voice 260530_132738)
Dr.
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Speaker 2 (Voice 260530_132738)
Teh from the fourth floor of ABRC.
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Speaker 2 (Voice 260530_132738)
Oh,
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Speaker 1 (Voice 260530_132738)
ABRC,
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Speaker 1 (Voice 260530_132738)
okay, okay.
1:25
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Speaker 2 (Voice 260530_132738)
He's also in our joint meeting,
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Speaker 1 (Voice 260530_132738)
Dr.
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Speaker 1 (Voice 260530_132738)
Teh. Oh, okay, okay,
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Speaker 1 (Voice 260530_132738)
okay.
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Speaker 2 (Voice 260530_132738)
The person that asked too much questions.
1:31
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Speaker 2 (Voice 260530_132738)
You have another
1:35
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Speaker 1 (Voice 260530_132738)
name.
1:35
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Speaker 1 (Voice 260530_132738)
ABRC.
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Speaker 1 (Voice 260530_132738)
Sorry,
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Speaker 1 (Voice 260530_132738)
let me.
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Speaker 2 (Voice 260530_132738)
Dr. Teh.
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Speaker 1 (Voice 260530_132738)
That's
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Speaker 1 (Voice 260530_132738)
all. ABRC.
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Speaker 2 (Voice 260530_132738)
No, he's here.
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Speaker 2 (Voice 260530_132738)
He's in AVRC building,
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Speaker 2 (Voice 260530_132738)
but maybe he's in IPNB.
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Speaker 2 (Voice 260530_132738)
IPNB?
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Speaker 2 (Voice 260530_132738)
I
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Speaker 2 (Voice 260530_132738)
don't know the Chinese
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Speaker 1 (Voice 260530_132738)
name.
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Speaker 1 (Voice 260530_132738)
So the joint meeting,
2:15
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Speaker 1 (Voice 260530_132738)
right?
2:15
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Speaker 1 (Voice 260530_132738)
Yeah.
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Speaker 1 (Voice 260530_132738)
So we call it Dr.
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Speaker 1 (Voice 260530_132738)
Thay.
2:23
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Speaker 1 (Voice 260530_132738)
So I
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Speaker 1 (Voice 260530_132738)
asked.
2:28
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Speaker 1 (Voice 260530_132738)
He asked or you asked him?
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Speaker 2 (Voice 260530_132738)
He asked some questions.
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Speaker 2 (Voice 260530_132738)
about the proposal because he because at this I just show very
2:37
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Speaker 2 (Voice 260530_132738)
few slides so he asked me about my project then I
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Speaker 2 (Voice 260530_132738)
explained so because at that time there is a very short time yeah
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Speaker 2 (Voice 260530_132738)
so at the end so when everybody is leaving so I just go
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Speaker 2 (Voice 260530_132738)
there so we discuss around I
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Speaker 2 (Voice 260530_132738)
think more than half an hour I have the same
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Speaker 2 (Voice 260530_132738)
things like he also explained me like
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Speaker 2 (Voice 260530_132738)
There are some points where your project is very narrow,
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Speaker 2 (Voice 260530_132738)
like you need to expand it.
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Speaker 2 (Voice 260530_132738)
So,
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Speaker 2 (Voice 260530_132738)
then according
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Speaker 2 (Voice 260530_132738)
to his,
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Speaker 2 (Voice 260530_132738)
the aim series needs to be refined.
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Speaker 2 (Voice 260530_132738)
And he also asked
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Speaker 2 (Voice 260530_132738)
me, like,
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Speaker 2 (Voice 260530_132738)
the aims that you design,
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Speaker 2 (Voice 260530_132738)
have you discussed with your page?
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Speaker 2 (Voice 260530_132738)
I said, yes,
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Speaker 2 (Voice 260530_132738)
we discussed,
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Speaker 2 (Voice 260530_132738)
but we are going to more improve it.
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Speaker 2 (Voice 260530_132738)
So it's just a rough one.
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Speaker 1 (Voice 260530_132738)
Yeah.
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Speaker 2 (Voice 260530_132738)
So the thing that he mentioned,
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Speaker 2 (Voice 260530_132738)
then I dig into it,
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Speaker 2 (Voice 260530_132738)
so about RNA -seq data.
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Speaker 2 (Voice 260530_132738)
Because he told me that if you
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Speaker 2 (Voice 260530_132738)
have five genes,
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Speaker 2 (Voice 260530_132738)
why you did not...
3:43
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Speaker 1 (Voice 260530_132738)
It's not in our candidate.
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Speaker 1 (Voice 260530_132738)
And it's very like...
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Speaker 1 (Voice 260530_132738)
So two,
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Speaker 1 (Voice 260530_132738)
if we present like this now,
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Speaker 1 (Voice 260530_132738)
current life,
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Speaker 1 (Voice 260530_132738)
people will say,
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Speaker 1 (Voice 260530_132738)
okay, you already got five candidates,
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Speaker 1 (Voice 260530_132738)
then dig in.
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Speaker 1 (Voice 260530_132738)
But then I don't actually think
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Speaker 1 (Voice 260530_132738)
those are the five that we should dig in.
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Speaker 1 (Voice 260530_132738)
So perhaps,
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Speaker 1 (Voice 260530_132738)
the way to explain that is that we...
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Speaker 2 (Voice 260530_132738)
We discussed the same thing.
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Speaker 2 (Voice 260530_132738)
Because these are already established genes.
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Speaker 2 (Voice 260530_132738)
Most of them know their functions like MLH1
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Speaker 1 (Voice 260530_132738)
or 11.
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Speaker 2 (Voice 260530_132738)
So what's the significance?
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Speaker 2 (Voice 260530_132738)
People already know that they have that kind of function.
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Speaker 2 (Voice 260530_132738)
So if there's some kind of other gene.
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Speaker 1 (Voice 260530_132738)
So it all depends on...
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Speaker 1 (Voice 260530_132738)
how we say it.
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Speaker 1 (Voice 260530_132738)
We can still show
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Speaker 1 (Voice 260530_132738)
this.
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Speaker 1 (Voice 260530_132738)
However,
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Speaker 1 (Voice 260530_132738)
the purpose to show those five genes is not
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Speaker 1 (Voice 260530_132738)
telling people that we already got five candidates.
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Speaker 1 (Voice 260530_132738)
Because likely they are not the candidates.
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Speaker 1 (Voice 260530_132738)
But I think the purpose to show that we
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Speaker 1 (Voice 260530_132738)
got something is that you already set out
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Speaker 1 (Voice 260530_132738)
the pipeline.
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Speaker 4 (Voice 260530_132738)
you know how to do it and we are going to expand
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Speaker 4 (Voice 260530_132738)
the gene pool and look at more genes because we don't
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Speaker 4 (Voice 260530_132738)
think those are the candidates and then next is that how
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Speaker 4 (Voice 260530_132738)
we gonna I don't want to say many because it's difficult so
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Speaker 4 (Voice 260530_132738)
the next things that people will be asked is okay so what
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Speaker 4 (Voice 260530_132738)
if you got now we got five what if you got 200 then
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Speaker 4 (Voice 260530_132738)
What can we do to narrow down
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Speaker 4 (Voice 260530_132738)
our two -way leader?
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Speaker 4 (Voice 260530_132738)
And then so that's probably why
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Speaker 4 (Voice 260530_132738)
I think okay Because we also have evidence to say
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Speaker 4 (Voice 260530_132738)
DSP is one of the key and then how we can use
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Speaker 4 (Voice 260530_132738)
this two information to
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Speaker 3 (Voice 260530_132738)
because that's why I'm thinking because here you can see that this is all
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Speaker 3 (Voice 260530_132738)
are the axonic levels like this is also present in axons because we
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Speaker 3 (Voice 260530_132738)
already filtered out all the things that is present in the promoter so
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Speaker 4 (Voice 260530_132738)
so I don't think we should look at the promoter because because the
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Speaker 4 (Voice 260530_132738)
only thing well yeah we don't need to
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Speaker 4 (Voice 260530_132738)
make this more complicated.
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Speaker 4 (Voice 260530_132738)
We want to look at more
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Speaker 4 (Voice 260530_132738)
genes,
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Speaker 4 (Voice 260530_132738)
but promoter is really
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Speaker 4 (Voice 260530_132738)
hard to quantify or
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Speaker 4 (Voice 260530_132738)
to classify.
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Speaker 3 (Voice 260530_132738)
Not promoter,
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Speaker 3 (Voice 260530_132738)
but what's about UTR?
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Speaker 3 (Voice 260530_132738)
UTR is also difficult.
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Speaker 3 (Voice 260530_132738)
Because when we use this one,
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Speaker 3 (Voice 260530_132738)
RNA -seq data,
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Speaker 3 (Voice 260530_132738)
If we didn't do,
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Speaker 3 (Voice 260530_132738)
we will take it from some literature.
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Speaker 3 (Voice 260530_132738)
So this is then useful because
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Speaker 3 (Voice 260530_132738)
we have already a list of 100 -150 genes here.
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Speaker 3 (Voice 260530_132738)
And that genes also include that are non -meiotic genes.
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Speaker 3 (Voice 260530_132738)
So that's why I'm thinking maybe a little bit change.
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Speaker 3 (Voice 260530_132738)
We have these five genes as a backup.
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Speaker 3 (Voice 260530_132738)
But I'm thinking about if we add UTRs,
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Speaker 3 (Voice 260530_132738)
if we add some more genes here.
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Speaker 3 (Voice 260530_132738)
So it means we have,
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Speaker 3 (Voice 260530_132738)
and we are just not focused only on the meiotic genes.
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Speaker 3 (Voice 260530_132738)
We will add all the genes.
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Speaker 4 (Voice 260530_132738)
I don't think all.
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Speaker 4 (Voice 260530_132738)
I'm thinking that maybe we have a list for like,
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Speaker 4 (Voice 260530_132738)
in a mild type situation,
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Speaker 4 (Voice 260530_132738)
we have a list of meiotic expressed
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Speaker 4 (Voice 260530_132738)
or differentially expressed meiotic genes.
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Speaker 4 (Voice 260530_132738)
That's saying those genes are not expressed in...
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Speaker 3 (Voice 260530_132738)
I have a reason for this one.
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Speaker 1 (Voice 260530_132738)
Oh, okay.
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Speaker 1 (Voice 260530_132738)
And then maybe,
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Speaker 4 (Voice 260530_132738)
let's say,
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Speaker 4 (Voice 260530_132738)
I guess it would be 2 ,000 or something,
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Speaker 1 (Voice 260530_132738)
1 ,500.
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Speaker 1 (Voice 260530_132738)
I don't know,
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Speaker 3 (Voice 260530_132738)
but maybe I'm not.
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Speaker 1 (Voice 260530_132738)
I don't know. It's just my thinking.
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Speaker 1 (Voice 260530_132738)
Okay.
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Speaker 3 (Voice 260530_132738)
So, I think that I'm thinking now.
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Speaker 2 (Voice 260530_132738)
So,
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Speaker 3 (Voice 260530_132738)
for example, I just checked yesterday.
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Speaker 3 (Voice 260530_132738)
So, I just checked how much.
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Speaker 3 (Voice 260530_132738)
Genes are paladin,
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Speaker 3 (Voice 260530_132738)
axon, total genes in whole genome.
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Speaker 3 (Voice 260530_132738)
CML versus B73 in the SNP.
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Speaker 3 (Voice 260530_132738)
So I found around 96 genes that are difference in CML and B73.
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Speaker 1 (Voice 260530_132738)
Say, say, say,
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Speaker 4 (Voice 260530_132738)
say, how many genes you check?
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Speaker 3 (Voice 260530_132738)
Maybe 96 or 130.
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Speaker 4 (Voice 260530_132738)
96 genes?
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Speaker 3 (Voice 260530_132738)
Yeah, around 100 are difference in SNPs.
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Speaker 3 (Voice 260530_132738)
Like we have a five hair.
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Speaker 1 (Voice 260530_132738)
Okay,
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Speaker 3 (Voice 260530_132738)
okay. If we add meotics.
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Speaker 3 (Voice 260530_132738)
And if we see globally,
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Speaker 3 (Voice 260530_132738)
so we just have 100 genes.
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Speaker 3 (Voice 260530_132738)
that are different in CML and B73.
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Speaker 1 (Voice 260530_132738)
Only 100?
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Speaker 3 (Voice 260530_132738)
100.
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Speaker 3 (Voice 260530_132738)
That has high impact in present in axons,
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Speaker 3 (Voice 260530_132738)
not in promoter duty.
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Speaker 1 (Voice 260530_132738)
Okay.
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Speaker 4 (Voice 260530_132738)
Only in axons?
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Speaker 5 (Voice 260530_132738)
Yes.
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Speaker 4 (Voice 260530_132738)
And about 40 ,000 genes?
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Speaker 5 (Voice 260530_132738)
Yes.
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Speaker 3 (Voice 260530_132738)
There's only around 100 genes that I see.
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Speaker 6 (Voice 260530_132738)
Really?
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Speaker 1 (Voice 260530_132738)
Are you sure?
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Speaker 5 (Voice 260530_132738)
Yes.
8:44
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Speaker 1 (Voice 260530_132738)
That's so little.
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Speaker 1 (Voice 260530_132738)
That's so few.
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Speaker 1 (Voice 260530_132738)
Or...
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Speaker 2 (Voice 260530_132738)
Okay.
8:51
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Speaker 1 (Voice 260530_132738)
Okay,
8:52
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Speaker 1 (Voice 260530_132738)
okay, okay.
8:53
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Speaker 3 (Voice 260530_132738)
The filter that I use is
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Speaker 1 (Voice 260530_132738)
to...
9:03
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Speaker 1 (Voice 260530_132738)
yeah because yeah
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Speaker 4 (Voice 260530_132738)
because 4 ,000 gene and then yeah high
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Speaker 4 (Voice 260530_132738)
-impact SNP and then SV okay I
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Speaker 3 (Voice 260530_132738)
will give you the exact number okay okay
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Speaker 4 (Voice 260530_132738)
between CM228 and B73
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Speaker 3 (Voice 260530_132738)
okay so now I'm thinking about
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Speaker 3 (Voice 260530_132738)
First, we will see globally how much genes are only dependent in axons
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Speaker 3 (Voice 260530_132738)
and 5 -UTR and 3 -UTR.
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Speaker 3 (Voice 260530_132738)
So we have 5,
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Speaker 2 (Voice 260530_132738)
3,
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Speaker 3 (Voice 260530_132738)
and axons.
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Speaker 3 (Voice 260530_132738)
So we have these genes,
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Speaker 3 (Voice 260530_132738)
not amniotic ones,
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Speaker 1 (Voice 260530_132738)
globally.
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Speaker 3 (Voice 260530_132738)
Because maybe there are some genes that are not
9:49
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Speaker 3 (Voice 260530_132738)
yet established or not yet found,
9:51
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Speaker 3 (Voice 260530_132738)
the comments that you give in the files.
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Speaker 1 (Voice 260530_132738)
So,
9:57
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Speaker 3 (Voice 260530_132738)
because when we use the RNA -seq data,
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Speaker 1 (Voice 260530_132738)
with the seedling versus isolated
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Speaker 1 (Voice 260530_132738)
myocyte,
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Speaker 1 (Voice 260530_132738)
G2.
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Speaker 1 (Voice 260530_132738)
So we can see how much genes are expressed
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Speaker 1 (Voice 260530_132738)
here. Because we already established this sub -aim,
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Speaker 1 (Voice 260530_132738)
so we can compare these two.
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Speaker 1 (Voice 260530_132738)
So we can remove many genes from here.
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Speaker 1 (Voice 260530_132738)
Like we can narrow down these genes globally.
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Speaker 1 (Voice 260530_132738)
So we can say that this is our sub -aim that
10:25
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Speaker 1 (Voice 260530_132738)
we...
10:25
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Speaker 1 (Voice 260530_132738)
like rational that we want to focus so we can narrow down these genes that
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Speaker 1 (Voice 260530_132738)
we already know maybe 1500 so when we
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Speaker 1 (Voice 260530_132738)
see oh these gene are there is a snip present here in 3 utr
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Speaker 1 (Voice 260530_132738)
in 5 utr but their expression is low
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Speaker 2 (Voice 260530_132738)
Yeah, exactly so this is yeah that yeah,
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Speaker 2 (Voice 260530_132738)
that's what I suggest last slide I'd say we want
10:49
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Speaker 2 (Voice 260530_132738)
to have like Differentially expressed genes in meiosis,
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Speaker 2 (Voice 260530_132738)
that's a pool maybe I don't know 2000 genes and then you have all
10:57
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Speaker 2 (Voice 260530_132738)
this and then we
10:59
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Speaker 1 (Voice 260530_132738)
Yeah.
10:59
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Speaker 1 (Voice 260530_132738)
Or maybe at this moment to make more properly,
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Speaker 1 (Voice 260530_132738)
maybe we can add promoter at this moment,
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Speaker 1 (Voice 260530_132738)
but I'm not sure.
11:05
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Speaker 2 (Voice 260530_132738)
But then we can,
11:06
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Speaker 2 (Voice 260530_132738)
you know, decide whether we want to use it later.
11:08
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Speaker 1 (Voice 260530_132738)
Maybe when we compare with the RNA -seq data,
11:10
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Speaker 1 (Voice 260530_132738)
we will find very few.
11:12
S…
Speaker 1 (Voice 260530_132738)
Or maybe we will find,
11:13
S…
Speaker 1 (Voice 260530_132738)
then we will decide whether we will continue with this or we will remove.
11:16
S…
Speaker 1 (Voice 260530_132738)
Because if we mention 5G here,
11:19
S…
Speaker 1 (Voice 260530_132738)
it's very critical.
11:22
S…
Speaker 1 (Voice 260530_132738)
five genes mentioned then how you compare these five genes with
11:26
S…
Speaker 1 (Voice 260530_132738)
the RNA -seq data or otherwise we need to remove RNA -seq data so
11:31
S…
Speaker 2 (Voice 260530_132738)
I think this five is just an example say for now
11:35
S…
Speaker 2 (Voice 260530_132738)
we only look at you know from 200 myelty
11:40
S…
Speaker 2 (Voice 260530_132738)
gene no one function myelty gene and we found those differences but
11:44
S…
Speaker 2 (Voice 260530_132738)
this doesn't look
11:45
S…
Speaker 2 (Voice 260530_132738)
You need to give them a reason,
11:48
S…
Speaker 2 (Voice 260530_132738)
say, oh, those might not be the targets.
11:50
S…
Speaker 2 (Voice 260530_132738)
So this is just to allow you to burn the whole pipeline and
11:55
S…
Speaker 2 (Voice 260530_132738)
then, you know, set up.
11:56
S…
Speaker 2 (Voice 260530_132738)
But the real aim or real experimental design will be
12:00
S…
Speaker 1 (Voice 260530_132738)
this. And then if we do a globally,
12:03
S…
Speaker 1 (Voice 260530_132738)
so we didn't care about we need to make a gain list of 500 gene or 600 gene.
12:07
S…
Speaker 2 (Voice 260530_132738)
But you need to have a list of this.
12:09
S…
Speaker 1 (Voice 260530_132738)
Yeah, yeah, yeah.
12:10
S…
Speaker 2 (Voice 260530_132738)
Right, right, right.
12:11
S…
Speaker 2 (Voice 260530_132738)
You have the...
12:12
S…
Speaker 1 (Voice 260530_132738)
You have the isolated G2.
12:13
S…
Speaker 2 (Voice 260530_132738)
Right, okay,
12:14
S…
Speaker 2 (Voice 260530_132738)
yeah. You have this,
12:15
S…
Speaker 2 (Voice 260530_132738)
so compare,
12:15
S…
Speaker 2 (Voice 260530_132738)
and then,
12:16
S…
Speaker 2 (Voice 260530_132738)
yeah. And then you overlap,
12:17
S…
Speaker 1 (Voice 260530_132738)
you know.
12:18
S…
Speaker 1 (Voice 260530_132738)
Yes, and we also have a CML228 and B713 zygotein
12:22
S…
Speaker 1 (Voice 260530_132738)
data.
12:22
S…
Speaker 1 (Voice 260530_132738)
So we will use that also.
12:24
S…
Speaker 1 (Voice 260530_132738)
Because then RNA -seq makes sense.
12:26
S…
Speaker 1 (Voice 260530_132738)
Otherwise,
12:27
S…
Speaker 1 (Voice 260530_132738)
it didn't make with the 5 genes.
12:29
S…
Speaker 2 (Voice 260530_132738)
Yeah, totally agree.
12:29
S…
Speaker 1 (Voice 260530_132738)
So it's my suggestions maybe I'm wrong.
12:32
S…
Speaker 2 (Voice 260530_132738)
Yeah, no, no,
12:33
S…
Speaker 2 (Voice 260530_132738)
no, I totally agree.
12:34
S…
Speaker 1 (Voice 260530_132738)
Yeah,
12:35
S…
Speaker 1 (Voice 260530_132738)
so then...
12:36
S…
Speaker 1 (Voice 260530_132738)
we didn't need to explain them like we have five maybe we will explain exactly
12:40
S…
Speaker 2 (Voice 260530_132738)
once we said this and then people will say okay you know you've got kenny days then they
12:44
S…
Speaker 2 (Voice 260530_132738)
explain or buddy day that's the thing dr.
12:46
S…
Speaker 1 (Voice 260530_132738)
Dave told me that why you are
12:50
S…
Speaker 1 (Voice 260530_132738)
First test this one,
12:51
S…
Speaker 1 (Voice 260530_132738)
then move next.
12:53
S…
Speaker 2 (Voice 260530_132738)
Show it and then stop it.
12:56
S…
Speaker 2 (Voice 260530_132738)
So for this,
12:58
S…
Speaker 1 (Voice 260530_132738)
I'm thinking about this,
12:59
S…
Speaker 1 (Voice 260530_132738)
maybe at this moment,
13:01
S…
Speaker 1 (Voice 260530_132738)
just move in supplement.
13:02
S…
Speaker 1 (Voice 260530_132738)
In meotics,
13:03
S…
Speaker 1 (Voice 260530_132738)
we find that one,
13:04
S…
Speaker 1 (Voice 260530_132738)
but globally we have that number,
13:06
S…
Speaker 1 (Voice 260530_132738)
so we will narrow down it with the RNA.
13:11
S…
Speaker 1 (Voice 260530_132738)
This aim then makes sense.
13:13
S…
Speaker 1 (Voice 260530_132738)
Because we cannot compare with the five genes these mortifs.
13:17
S…
Speaker 2 (Voice 260530_132738)
Of course.
13:18
S…
Speaker 1 (Voice 260530_132738)
Then we have a global gene.
13:20
S…
Speaker 1 (Voice 260530_132738)
This is global.
13:20
S…
Speaker 2 (Voice 260530_132738)
This is the whole genome comparison.
13:22
S…
Speaker 1 (Voice 260530_132738)
So then we need in preliminary globally also.
13:25
S…
Speaker 1 (Voice 260530_132738)
We need globally genes in aim to notify.
13:29
S…
Speaker 1 (Voice 260530_132738)
Then we can compare.
13:30
S…
Speaker 2 (Voice 260530_132738)
Yeah. Okay.
13:32
S…
Speaker 1 (Voice 260530_132738)
So.
13:32
S…
Speaker 1 (Voice 260530_132738)
And for the aim one.
13:35
S…
Speaker 1 (Voice 260530_132738)
Yes.
13:39
S…
Speaker 1 (Voice 260530_132738)
I'm thinking too much like.
13:43
S…
Speaker 1 (Voice 260530_132738)
The structure is a very small survey,
13:47
S…
Speaker 1 (Voice 260530_132738)
like just the length.
13:49
S…
Speaker 1 (Voice 260530_132738)
Maybe we can add with the Hayten data,
13:52
S…
Speaker 1 (Voice 260530_132738)
this one, like the structure of synaptomal complex.
13:55
S…
Speaker 1 (Voice 260530_132738)
So then we can conclude that Hayten is less
13:59
S…
Speaker 1 (Voice 260530_132738)
and structure...
14:01
S…
Speaker 2 (Voice 260530_132738)
Okay, because you mentioned Hayten at this moment.
14:04
S…
Speaker 1 (Voice 260530_132738)
Yeah.
14:05
S…
Speaker 2 (Voice 260530_132738)
Right, because you compare the Hayten with the axis length.
14:08
S…
Speaker 2 (Voice 260530_132738)
So,
14:09
S…
Speaker 1 (Voice 260530_132738)
yeah.
14:13
S…
Speaker 1 (Voice 260530_132738)
First problem is now that I need to cover two different
14:17
S…
Speaker 1 (Voice 260530_132738)
directions.
14:17
S…
Speaker 1 (Voice 260530_132738)
My project has two directions.
14:19
S…
Speaker 1 (Voice 260530_132738)
Upstreams or maybe loads.
14:21
S…
Speaker 1 (Voice 260530_132738)
So then we need to accumulate all the things.
14:24
S…
Speaker 1 (Voice 260530_132738)
Yes.
14:27
S…
Speaker 1 (Voice 260530_132738)
So here is the hit and data.
14:29
S…
Speaker 1 (Voice 260530_132738)
Where is the hit and data?
14:32
S…
Speaker 1 (Voice 260530_132738)
This one.
14:33
S…
Speaker 1 (Voice 260530_132738)
Yeah.
14:34
S…
Speaker 1 (Voice 260530_132738)
So this is hit and data.
14:36
S…
Speaker 1 (Voice 260530_132738)
So I'm thinking about maybe after this one.
14:39
S…
Speaker 1 (Voice 260530_132738)
I will add not as a sub -AIM just with the preliminary
14:43
S…
Speaker 1 (Voice 260530_132738)
data of the synaptronomal complex so we can conclude that okay A10
14:48
S…
Speaker 1 (Voice 260530_132738)
is less and synaptronomal complex structure is also
14:52
S…
Speaker 1 (Voice 260530_132738)
not like give any conclusion so then we will design
14:56
S…
Speaker 1 (Voice 260530_132738)
AIM 1 .1 has like upstream
15:00
S…
Speaker 2 (Voice 260530_132738)
like DMC and gamma h2x because I think this is just
15:04
S…
Speaker 2 (Voice 260530_132738)
like fulfill one extra sub aim so we will move it
15:08
S…
Speaker 2 (Voice 260530_132738)
into the preliminary then we will this will shift
15:12
S…
Speaker 2 (Voice 260530_132738)
here like the okay whether
15:17
S…
Speaker 2 (Voice 260530_132738)
early the combination of progression differing CML2 to it so it will add result
15:21
S…
Speaker 2 (Voice 260530_132738)
1 DMC result 2 gamma h2x or maybe result 3 SPO 11 if
15:25
S…
Speaker 2 (Voice 260530_132738)
we are going to focus on here so maybe yeah
15:32
S…
Speaker 1 (Voice 260530_132738)
It's like the front DSP.
15:33
S…
Speaker 1 (Voice 260530_132738)
Yes. Yeah.
15:33
S…
Speaker 1 (Voice 260530_132738)
So move this to the front.
15:36
S…
Speaker 1 (Voice 260530_132738)
Limit preliminary.
15:37
S…
Speaker 1 (Voice 260530_132738)
Limit preliminary and then start front DSP formation.
15:39
S…
Speaker 1 (Voice 260530_132738)
Yeah.
15:40
S…
Speaker 2 (Voice 260530_132738)
So we already have DSP.
15:41
S…
Speaker 1 (Voice 260530_132738)
I think it's more smooth.
15:42
S…
Speaker 2 (Voice 260530_132738)
Yes.
15:43
S…
Speaker 2 (Voice 260530_132738)
And then DMC1.
15:45
S…
Speaker 2 (Voice 260530_132738)
And then maybe we will check SPO.
15:50
S…
Speaker 1 (Voice 260530_132738)
I don't think we need to yeah because this is the
15:54
S…
Speaker 1 (Voice 260530_132738)
genes making DSV right and what do you know this
15:59
S…
Speaker 1 (Voice 260530_132738)
is low so everything before it I don't think we need to check it
16:03
S…
Speaker 1 (Voice 260530_132738)
because yeah
16:08
S…
Speaker 1 (Voice 260530_132738)
so yeah I don't I don't
16:12
S…
Speaker 1 (Voice 260530_132738)
I don't think yeah and then I don't think we will learn something new from checking
16:16
S…
Speaker 1 (Voice 260530_132738)
spoil 11
16:18
S…
Speaker 2 (Voice 260530_132738)
So maybe SPOE lemons,
16:20
S…
Speaker 2 (Voice 260530_132738)
we see same foci in all.
16:22
S…
Speaker 2 (Voice 260530_132738)
And there is the same amount of foci of
16:26
S…
Speaker 2 (Voice 260530_132738)
the SPOE lemon in the chromatin,
16:29
S…
Speaker 2 (Voice 260530_132738)
but we have seen less VSP.
16:32
S…
Speaker 1 (Voice 260530_132738)
Yeah,
16:32
S…
Speaker 1 (Voice 260530_132738)
it's possible.
16:33
S…
Speaker 2 (Voice 260530_132738)
Yeah, it's possible.
16:34
S…
Speaker 2 (Voice 260530_132738)
So then it means like...
16:37
S…
Speaker 2 (Voice 260530_132738)
There is some kind of condensation of the chromatin,
16:40
S…
Speaker 2 (Voice 260530_132738)
like SPO11 is available there,
16:42
S…
Speaker 2 (Voice 260530_132738)
but SPO11 didn't find any space to make a DSPK.
16:45
S…
Speaker 1 (Voice 260530_132738)
Right, right, right.
16:45
S…
Speaker 1 (Voice 260530_132738)
Okay, that makes sense.
16:47
S…
Speaker 1 (Voice 260530_132738)
And then I want to add some epigenetics as well.
16:50
S…
Speaker 2 (Voice 260530_132738)
Yeah, and if SPO11 show different foci,
16:54
S…
Speaker 2 (Voice 260530_132738)
then we will damn sure that there is some
16:58
S…
Speaker 2 (Voice 260530_132738)
kind of epigenetics there.
16:59
S…
Speaker 1 (Voice 260530_132738)
Okay.
17:00
S…
Speaker 1 (Voice 260530_132738)
We can...
17:03
S…
Speaker 1 (Voice 260530_132738)
Okay.
17:06
S…
Speaker 1 (Voice 260530_132738)
So how about that?
17:08
S…
Speaker 1 (Voice 260530_132738)
You don't need to work on slide now,
17:11
S…
Speaker 1 (Voice 260530_132738)
but you revise the
17:15
S…
Speaker 1 (Voice 260530_132738)
end and the subend.
17:16
S…
Speaker 1 (Voice 260530_132738)
And then maybe a few sentences
17:21
S…
Speaker 1 (Voice 260530_132738)
to explain.
17:22
S…
Speaker 1 (Voice 260530_132738)
And then send me a
17:26
S…
Speaker 1 (Voice 260530_132738)
simple two pages.
17:28
S…
Speaker 1 (Voice 260530_132738)
All the end and subend and maybe a few sentences to describe.
17:34
S…
Speaker 1 (Voice 260530_132738)
Okay.
17:35
S…
Speaker 1 (Voice 260530_132738)
Yeah.
17:35
S…
Speaker 2 (Voice 260530_132738)
Maybe proposal.
17:37
S…
Speaker 2 (Voice 260530_132738)
Like proposal type,
17:38
S…
Speaker 2 (Voice 260530_132738)
two pages of Word.
17:39
S…
Speaker 1 (Voice 260530_132738)
Yeah, yeah, yeah.
17:39
S…
Speaker 1 (Voice 260530_132738)
Just two pages of the,
17:40
S…
Speaker 1 (Voice 260530_132738)
yeah. Yeah.
17:41
S…
Speaker 1 (Voice 260530_132738)
And then I look it over the weekend.
17:44
S…
Speaker 1 (Voice 260530_132738)
Well,
17:47
S…
Speaker 1 (Voice 260530_132738)
you eat it over the next week.
17:49
S…
Speaker 1 (Voice 260530_132738)
I mean, I have to.
17:50
S…
Speaker 2 (Voice 260530_132738)
No, no, no. I will do it too.
17:51
S…
Speaker 1 (Voice 260530_132738)
Okay,
17:52
S…
Speaker 1 (Voice 260530_132738)
okay.
17:52
S…
Speaker 1 (Voice 260530_132738)
Yeah,
17:53
S…
Speaker 2 (Voice 260530_132738)
I need to finish it.
17:54
S…
Speaker 1 (Voice 260530_132738)
Yeah, yeah, yeah.
17:54
S…
Speaker 1 (Voice 260530_132738)
Yeah.
17:55
S…
Speaker 1 (Voice 260530_132738)
So,
17:56
S…
Speaker 1 (Voice 260530_132738)
yeah.
17:56
S…
Speaker 2 (Voice 260530_132738)
So, maybe then.
17:57
S…
Speaker 2 (Voice 260530_132738)
We have an antibody.
17:58
S…
Speaker 1 (Voice 260530_132738)
Yeah, we have an antibody.
18:00
S…
Speaker 1 (Voice 260530_132738)
Okay.
18:01
S…
Speaker 1 (Voice 260530_132738)
Just,
18:01
S…
Speaker 1 (Voice 260530_132738)
it's difficult.
18:02
S…
Speaker 1 (Voice 260530_132738)
I mean,
18:03
S…
Speaker 1 (Voice 260530_132738)
I mean,
18:03
S…
Speaker 1 (Voice 260530_132738)
4 .11 gives a,
18:04
S…
Speaker 1 (Voice 260530_132738)
well, a lot of,
18:07
S…
Speaker 1 (Voice 260530_132738)
background.
18:07
S…
Speaker 1 (Voice 260530_132738)
But we believe that those background actually...
18:12
S…
Speaker 1 (Voice 260530_132738)
Okay, so SPOI -11 in wild type give us thousands
18:16
S…
Speaker 1 (Voice 260530_132738)
foci.
18:18
S…
Speaker 1 (Voice 260530_132738)
And from our image analysis,
18:22
S…
Speaker 1 (Voice 260530_132738)
we propose that only the SPOI
18:26
S…
Speaker 1 (Voice 260530_132738)
-11 associated with axes,
18:28
S…
Speaker 1 (Voice 260530_132738)
those are the functional SPOI
18:32
S…
Speaker 1 (Voice 260530_132738)
-11 will make a DSP.
18:34
S…
Speaker 1 (Voice 260530_132738)
Because the number
18:39
S…
Speaker 1 (Voice 260530_132738)
of spoilers associated with access are actually correlated to DSP formation.
18:43
S…
Speaker 1 (Voice 260530_132738)
But all the spoilers here and there are chromatin.
18:46
S…
Speaker 1 (Voice 260530_132738)
They are not.
18:47
S…
Speaker 1 (Voice 260530_132738)
They don't,
18:49
S…
Speaker 1 (Voice 260530_132738)
I mean, I don't think they...
18:51
S…
Speaker 2 (Voice 260530_132738)
So maybe these...
18:54
S…
Speaker 1 (Voice 260530_132738)
You know what I mean?
18:55
S…
Speaker 1 (Voice 260530_132738)
So SPOI -11 is expressed everywhere and then they bite to
18:59
S…
Speaker 1 (Voice 260530_132738)
the chromatin but only the chromatin SPOI -11 association
19:04
S…
Speaker 1 (Voice 260530_132738)
attack it on the axis.
19:08
S…
Speaker 2 (Voice 260530_132738)
It's necessary?
19:09
S…
Speaker 2 (Voice 260530_132738)
SPOI -11 is present on the axis but it did not cause
19:13
S…
Speaker 2 (Voice 260530_132738)
any DSP?
19:14
S…
Speaker 1 (Voice 260530_132738)
No, no, no.
19:14
S…
Speaker 1 (Voice 260530_132738)
So only the SPOI -11 with DNA on the axis,
19:17
S…
Speaker 1 (Voice 260530_132738)
they will make a cough,
19:19
S…
Speaker 1 (Voice 260530_132738)
make a DSP.
19:23
S…
Speaker 1 (Voice 260530_132738)
That's actually why some of the axis
19:28
S…
Speaker 1 (Voice 260530_132738)
mutants have a DSP defect.
19:31
S…
Speaker 1 (Voice 260530_132738)
Because the spoiler alert apparently couldn't,
19:34
S…
Speaker 1 (Voice 260530_132738)
you know, or some activators on the axis.
19:36
S…
Speaker 1 (Voice 260530_132738)
They will activate spoiler alert function.
19:39
S…
Speaker 1 (Voice 260530_132738)
So, spoiler alert is actually everywhere in the wild type.
19:42
S…
Speaker 1 (Voice 260530_132738)
So,
19:45
S…
Speaker 2 (Voice 260530_132738)
what do you think we should use as a backup or for
19:51
S…
Speaker 1 (Voice 260530_132738)
the spoiler alert?
19:53
S…
Speaker 1 (Voice 260530_132738)
I think we can...
19:54
S…
Speaker 1 (Voice 260530_132738)
I think we can use as a backup.
19:56
S…
Speaker 1 (Voice 260530_132738)
We don't need to propose unless we
20:00
S…
Speaker 1 (Voice 260530_132738)
How for a reason,
20:01
S…
Speaker 1 (Voice 260530_132738)
say, spoiler,
20:02
S…
Speaker 1 (Voice 260530_132738)
highly expressed spoiler or something.
20:06
S…
Speaker 1 (Voice 260530_132738)
Yeah,
20:10
S…
Speaker 1 (Voice 260530_132738)
that's what I think.
20:12
S…
Speaker 2 (Voice 260530_132738)
Yes,
20:13
S…
Speaker 2 (Voice 260530_132738)
from the aim too,
20:16
S…
Speaker 2 (Voice 260530_132738)
if we find gene,
20:17
S…
Speaker 2 (Voice 260530_132738)
any genetic factors that are associated
20:22
S…
Speaker 2 (Voice 260530_132738)
with the spoiler, maybe then we will check otherwise.
20:27
S…
Speaker 1 (Voice 260530_132738)
or the other more targeted way for
20:32
S…
Speaker 1 (Voice 260530_132738)
DSB,
20:33
S…
Speaker 1 (Voice 260530_132738)
less DSB formation in 728 is,
20:37
S…
Speaker 1 (Voice 260530_132738)
well,
20:39
S…
Speaker 1 (Voice 260530_132738)
that's another thing.
20:40
S…
Speaker 1 (Voice 260530_132738)
So in plan step,
20:42
S…
Speaker 1 (Voice 260530_132738)
about 10 or 11 genes has been identified,
20:46
S…
Speaker 1 (Voice 260530_132738)
say it's required for DSB
20:51
S…
Speaker 1 (Voice 260530_132738)
formation.
20:52
S…
Speaker 1 (Voice 260530_132738)
We can check those genes by
20:56
S…
Speaker 1 (Voice 260530_132738)
qPCR.
20:57
S…
Speaker 1 (Voice 260530_132738)
You know, it's like a targeting way.
21:00
S…
Speaker 1 (Voice 260530_132738)
So all I want to say is for each sub
21:04
S…
Speaker 1 (Voice 260530_132738)
-end, we should have a question and then do this.
21:07
S…
Speaker 1 (Voice 260530_132738)
And have a question,
21:08
S…
Speaker 1 (Voice 260530_132738)
do this.
21:08
S…
Speaker 1 (Voice 260530_132738)
Or have an objective.
21:10
S…
Speaker 1 (Voice 260530_132738)
Because the objective can answer the question.
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