Cells in sentence

1993 examples of Cells in a sentence

So if you think from the perspective of early metastatic cancer cells as they're out searching around for the resources that they need, if those resources are clustered, they're likely to use interactions for recruitment, and if we can figure out how cancer cells are recruiting, then maybe we could set traps to catch them before they become established.

If you're a human, you have about 400 different kinds of receptors, and the brain knows what you're smelling because of the combination of receptors and nerve cells that they trigger, sending messages up to the brain in a combinatorial fashion.

For instance, simple cells came into being billions of years ago ... but perhaps the development of complex life needed a series of unlikely events.

But maybe it's the fate of many planets for life to settle at the level of simple cells.

For example, we were stuck for a year trying to understand the intricate biochemical networks inside our cells, and we said, "We are deeply in the cloud," and we had a playful conversation where my student Shai Shen Orr said, "Let's just draw this on a piece of paper, this network," and instead of saying, "But we've done that so many times and it doesn't work," I said, "Yes, and let's use a very big piece of paper," and then Ron Milo said, "Let's use a gigantic architect's blueprint kind of paper, and I know where to print it," and we printed out the network and looked at it, and that's where we made our most important discovery, that this complicated network is just made of a handful of simple, repeating interaction patterns like motifs in a stained glass window.

We call them network motifs, and they're the elementary circuits that help us understand the logic of the way cells make decisions in all organisms, including our body.

I have all the press clippings of those four magnificent minutes, because I don't want to forget them when old age destroys my brain cells.

It is a single-celled organism, a cell, that joins together with other cells to form a mass super-cell to maximize its resources.

Here's another illustration, and this is a drawing of how a researcher might think that the HIV virus gets into and out of cells.

The animation will feature data from thousands of researchers collected over decades, data on what this virus looks like, how it's able to infect cells in our body, and how therapeutics are helping to combat infection.

An officer put a key in a lockbox, and hundreds of men streamed out of their cells.

Hundreds of men streamed out of their cells.

When I went to work at our receptions center, I could actually hear the inmates roiling from the parking lot, shaking cell doors, yelling, tearing up their cells.

We put inmates in cells behind solid steel doors with cuff ports so we could restrain them and feed them.

We need to learn which of our cells matter to each illness, and which molecules in those cells matter to each illness.

One fundamental obstacle we face in trying to turn the brain into a big-data problem is that our brains are composed of and built from billions of cells.

And our cells are not generalists; they're specialists.

And the same thing is true of our cells.

Here we're packaging tens of thousands of individual cells, each into its own tiny water droplet for its own molecular analysis.

We call this approach "Drop-seq," because we use droplets to separate the cells for analysis, and we use DNA sequences to tag and inventory and keep track of everything.

And now, whenever we do an experiment, we analyze tens of thousands of individual cells.

An answer comes from the fact that the most informative molecules, proteins, are encoded in our DNA, which has the recipes our cells follow to make all of our proteins.

And that Post-it note gets put on lots of debris and dead cells in our bodies and invites immune cells to eliminate them.

And we're developing a way to test in a single tube how cells with hundreds of different people's genomes respond differently to the same stimulus.

And something that my team and I discovered recently was that cancer cells are able to communicate with each other and coordinate their movement, based on how closely packed they are in the tumor microenvironment.

Now, like anything else in nature, when things get a little too tight, the signal is enhanced, causing the cancer cells to move away faster from the primary site and spread to a new site.

So, if we block this signal, using a drug cocktail that we developed, we can stop the communication between cancer cells and slow down the spread of cancer.

And I was tasked to look at how cancer cells move in a 3D collagen I matrix that recapsulated, in a dish, the conditions that cancer cells are exposed to in our bodies.

This was new and exciting for me, because previous work had been done on 2D, flat, plastic dishes that really weren't representative of what the cancer cells are exposed to in our bodies.

Because, let's face it, the cancer cells in our bodies aren't stuck onto plastic dishes.

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