Sentences with phrase «specific subsets of genes»

«It's looking at a much longer trajectory and it's also interrogating the entire genome rather than specific subsets of genes.»

Not exact matches

Dr Peter Rugg - Gunn, group leader in the Babraham Institute's Epigenetics research programme and a senior co-author on the paper, explains: «One of the exciting aspects of this study is that we were able to capture naïve stem cells at a very early stage of their reprogramming — these early cells had switched on a subset of naïve - specific genes, but they had not yet fully matured.

These mutant kinases are attractive therapeutic targets, as demonstrated by the efficacy of imatinib in BCR - ABL — positive chronic myelogenous leukemia (CML), 5 as well as in MPD associated with activating alleles involving PDGFRA or PDGFRB.2, 6,7 In addition, activating mutations in the FLT3 receptor tyrosine kinase are the most common genetic event in acute myeloid leukemia (AML), and specific inhibitors of the FMS - like tyrosine kinase 3 (FLT3) have entered late - stage clinical trials.8 Although mutations in tyrosine kinases and in other genes have been identified in a subset of MPD and AML, in many cases the genetic events that contribute to the molecular pathogenesis of these diseases remain unknown.

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 clustgene 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 clustGene 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.

Surprisingly, small molecule activators of PKA signaling increase expression of Oct4 protein, which in turn enhances expression of a specific subset of Oct4 target genes.