This spectrum in gene expression is reflected in the ability of cells to undergo self - renewal or to form specific differentiated cell types.
Not exact matches
Single - cell differential
gene expression analysis revealed a
spectrum of known transcripts, including several linked to cytotoxic and costimulatory function that are expressed at higher levels
in the TEMRA (effector memory T cells expressing CD45RA) subset, which is highly enriched for CD4 - CTLs, compared with CD4 + T cells
in the central memory (TCM) and effector memory (TEM) subsets.
Researchers also found higher levels of
expression of the
gene MET, which is linked to autism
spectrum disorder,
in the human prefrontal cortex compared to the other primates tested.
Increased
expression of a
gene linked to autism
spectrum disorders (ASDs) leads to a remodeling of dendrites during brain development, according to a new study conducted
in cultured neurons and an ASD mouse model published
in JNeurosci.
Towards this goal, we mined the genomics data to identify sets of
genes, the
expression of which performed
in the same way over the entire
spectrum of experimental conditions.
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 clust
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
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 clust
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
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
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
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
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
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
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
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
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
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.