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15 results for “cellular division”
“Your 40 trillion cells copy themselves daily - but imperfect copying creates mutations”
Each of the cells have to divide and copy themselves. And that's why we are still here today compared to yesterday. And that's why we're still gonna be here tomorrow compared today. Copy paste, copy p
4:17 / 4:52
framework4:17 – 4:52
...people all on a cellular network, and they all have their own, you know, data that they're streaming and calls that they're on and text messages that they're doing, but it's all going over the same airwaves. That's how it's all divided and everybody
20:57 / 22:02
from transcript20:57 – 22:02
...world of code division multiple access. And what that technology did, it was a standard that allowed for communication and multiple access, the MA stands for. It allowed for the communication of many, many different private channels over one waveleng
20:09 / 21:24
from transcript20:09 – 21:24
...Yes. We certainly can. So before we get to the CD and CDMA, code division, let's so we've got the multiple access part. Bunch of bunch of people trying to communicate using the same medium. Well, the things that we were talking about before, everybod
48:38 / 49:53
from transcript48:38 – 49:53
...were starting the cellular division of McCall, there were two other people who were pretty instrumental in that besides Craig McCall. One was a guy named John Stanton, and John was, then a recent graduate from Harvard Business School, and he became t
26:12 / 27:30
from transcript26:12 – 27:30
...division multiple access applied to terrestrial cellular networks in 1986 in US patent number 4901307, which is one of the most valuable patents in history. Yep. Unreal. Like, literally, they played such a long game, and they threaded needle after ne
56:11 / 57:35
from transcript56:11 – 57:35
...the cellular business, to AT and T, the old legacy telephone company, for $12,600,000,000. Again, this is 1994. That's a lot of money. The company gets renamed AT and T Wireless. It becomes AT and T's wireless division that, you know, barely existed
13:29 / 14:31
from transcript13:29 – 14:31
...the intercellular dynamics captured as well in the models.
41:58 / 43:06
from transcript41:58 – 43:06
and tell those cells to start to act young again and reset those cells. And that gene is called FOXO3. So what this research team did is they took stem cells and they engineered them using CRISPR to get them to over express FOXO3. And so now these ce
1:07:25 / 1:08:34
from transcript1:07:25 – 1:08:34
controversy around what does it mean to be an accurate biological simulator, what does it mean to be a virtual cell. It's true. We can't measure everything. Right? We can't measure, I think, things like metabolites and really high throughput with spa
8:00 / 9:44
from transcript8:00 – 9:44
of a cell. And I'd probably start with a yeast cell, and partly that's what Paul Nurse studied because a yeast cell is like a full organism that's a single cell. Right? So it's the kind of simplest single cell organism. And so it's not just a cell. I
50:09 / 51:16
from transcript50:09 – 51:16
field to grow stem cells obtained from, adult cells. So, if we went back about ten years ago, in Japan, there was a researcher by the name of Yamakana. Professor Yamakana won the Nobel Prize, I think, a few years back, for discovery of, inducible plu
36:01 / 37:06
from transcript36:01 – 37:06
the alpha fold moment that people talk about, right, where anytime you want to, you know, work with a protein, if you don't have an experimentally cell structure, you're just gonna fold it with this, with this algorithm. And we kind of want to get to
11:14 / 12:20
from transcript11:14 – 12:20
So virtual cells, in my opinion, are gonna allow us to go beyond the language of structural biology and venture into the language of systems biology and understand how, how the drug is interacting with the broader biological system rather than simply
41:19 / 42:23
from transcript41:19 – 42:23
And, you know, we'll call those four proteins o, s, k, and m. When these four proteins are applied to a cell, it basically starts to trigger a bunch of gene expression that then turns that cell back into a stem cell. And so that cell becomes youthful
1:12:44 / 1:13:49
from transcript1:12:44 – 1:13:49
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