In order to learn more about this process, Alexander Skupin and his team treated blood stem cells from mice with growth hormones and then watched closely how these progenitor cells
behaved during their differentiation into white or red blood cells.
Not exact matches
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 clusters.
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.