Sentences with phrase «individual cell clusters»

Not exact matches

The scientists found that when individuals completed a word puzzle, right before a moment of insight, a cluster of cells located in the superior temporal gyrus — in the right hemisphere of the brain — show significant activity.

After a few days, they divided the clusters into individual cells, a small percentage of which grew into so - called blast colonies of up to 400 million cells, the team reports in Nature Methods.

Still, how melanoma cells join into tumors — whether by individual cells coming together or small or large clusters of cells doing so — follows the same pattern as breast tissue cancer cells: Cables are extended to reel in other cells or clusters.

They follow individual proteins in clusters of stem cells, trace cellular migration in a developing fruit fly larva, and observe muscle contractions in a nematode embryo (see video, above), among other tasks.

During embryonic development individual cells and cell clusters can move over relatively long distances, and cell migration is also essential for wound healing and many immunological processes in adult animals.

In this close - up image, one clump of neural progenitors is visible as a cluster of individual cells (green circles, middle right).

Home > Press > Single - cell mRNA cytometry via sequence - specific nanoparticle clustering and trapping: Cell - to - cell variation in gene expression creates a need for techniques that can characterize expression at the level of individual ccell mRNA cytometry via sequence - specific nanoparticle clustering and trapping: Cell - to - cell variation in gene expression creates a need for techniques that can characterize expression at the level of individual cCell - to - cell variation in gene expression creates a need for techniques that can characterize expression at the level of individual ccell variation in gene expression creates a need for techniques that can characterize expression at the level of individual cells

These include: a) Global Clusters that consist of a small, tight subset of genes that are co-expressed under the entire spectrum of experimental conditions; b) Time Series of gene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database cClusters that consist of a small, tight subset of genes that are co-expressed under the entire spectrum of experimental conditions; b) Time Series of gene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clustersclusters.

Specifically, we have generated clusters of transcripts that behave the same way under the entire spectrum of the sixty - seven experimental conditions; we have assembled genes in groups according to their time of expression during successive days of ES cell differentiation; we have included expression profiles of specific gene classes such as transcription regulatory factors and Expressed Sequence Tags; transcripts have been arranged in «Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic resources.

These smaller clusters allow alkaline water to more easily and quickly move throughout the body, reach each individual cell and supply nutrients, oxygen and water as well.