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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
is the modality that would be kind of employed at scale for humans to utilize this tool. There's a lot of work that's been done in age reversal in mice, some work in primates, some work in humans now. And there's obviously a few startups doing this b
1:06:43 / 1:07:52
from transcript1:06:43 – 1:07:52
...dynamics captured as well in the models. But I think it just naturally ladders up from single cell through to these sort of more multi one touch one one small comment on that one is that it is a single cell that we are modeling, but that context depe
42:51 / 43:53
from transcript42:51 – 43:53
In fact, evolutionarily, mitochondria were bacteria that basically ended up in the symbiotic relationship with what became our cells. So we each have mitochondria, hundreds of them in each one of our cells. Each mitochondria has its own nucleus and h
1:26:57 / 1:28:07
from transcript1:26:57 – 1:28:07
cell state, right, could it predict that the four Yamanaka factors would reprogram the fibroblast into a stem like state. Right? And they essentially rediscover from the model something that won the Nobel Prize in 2009. Right? That would that would b
18:00 / 19:01
from transcript18:00 – 19:01
hitting, like, a certain percentage of the time to make tenure or publish or whatever they need to do. But if you had a virtual cell model where you could simulate really high quality biology, you could actually then start testing it and tinkering on
22:23 / 23:34
from transcript22:23 – 23:34
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