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Genes in sentence

802 examples of Genes in a sentence

This is because, although each cell in our bodies contains the same set of genes, different mixes of genes get turned on and off in different cells.
So to do that, what you really need to do, you need to look at the things that the genes are producing and what's happening after the genetics, and that's what proteomics is about.
Just like genome mixes the study of all the genes, proteomics is the study of all the proteins.
And the reasoning behind that would be, first, we have, through medicine, managed to preserve a lot of genes that would otherwise be selected out and be removed from the population.
Wouldn't you want to make those changes in your genes?
Basically, by controlling the genes, you can control multiple materials to improve your device performance.
One of the tricks you have to do is figure out how to deliver these genes to the cells you want and not all the other neighbors.
He's looking for those genes as well.
Leveraging my knowledge of my pharmacogenomics: how my genes modulate, what my drugs do and what doses I need will become increasingly important, and once in the hands of individuals and patients, will make better drug dosing and selection available.
But they really need to spread their genes to mix with other genes so that they can adapt to environmental niches.
Languages are genes talking, getting things that they want.
Now whereas other species are confined to places that their genes adapt them to, with social learning and language, we could transform the environment to suit our needs.
It is the most valuable trait we have for converting new lands and resources into more people and their genes that natural selection has ever devised.
Language really is the voice of our genes.
And they even slow the flow of genes.
Now the simple answer then is that genes alone don't, all by themselves, determine the outcome of very complicated things like language.
It's easy to imagine how particularly those parts of our bodies were quickly influenced by selection from the environment and shifted frequencies of genes that are involved in them.
I myself had a tumor removed from my large intestine when I was only 14. Cancer occurs when a single cell in your body acquires a set of random mutations in important genes that cause that cell to start to produce more and more and more copies of itself.
And then, you see sort of like a stasis coming on where the system essentially waits for a new type of innovation, like this one, which is going to spread over all the other innovations that were before and is erasing the genes that it had before, until a new type of higher level of complexity has been achieved.
You might know that, so far, in just the dawn of this revolution, we know that there are perhaps 40,000 unique mutations affecting more than 10,000 genes, and that there are 500 of these genes that are bona-fide drivers, causes of cancer.
When it winds up its genome, divides into two cells and unwinds again, why does it not turn into an eye, into a liver, as it has all the genes necessary to do this?
And on these chromosomes are roughly 25,000 genes.
And the nature of a given cell driving its underlying biochemistry is dictated by which of these 25,000 genes are turned on and at what level they're turned on.
And so our project is seeking to look at this readout, understanding which of these 25,000 genes is turned on.
This has roughly 60,000 elements on it, so we repeatedly measure various genes of the 25,000 genes in the genome.
And when we take a sample and we hybridize it to it, we get a unique fingerprint, if you will, quantitatively of what genes are turned on in that sample.
But most importantly, we're now mapping into this anatomic framework, which is a common framework for people to understand where genes are turned on.
And remember that we've assayed all the 25,000 genes in the genome and have all of that data available.
Now remember, we're assaying genes.
In the side effect profile, etc., you want to see where those genes are turned on.
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