The bottom row consists of three tools that offer: detailed organization of
specific gene expression patterns (Expression Waves) during the differentiation process (bottom left); animation of KEGG pathways organized by successive days of differentiation (Pathway Animations, bottom middle); and, a search engine to obtain the expression of any transcript or groups of transcripts in the Affymetrix 430 v. 2 arrays during the ES cell differentiation process (bottom right).
Analyses were performed with 5 animals per group (control, 3 h of hypoxia, and 24 h or recovery after 3 h hypoxia) to decrease bias that may be introduced by donor -
specific gene expression patterns.
We identified species -
specific gene expression patterns indicating that changes in protein and gene expression have been particularly pronounced in the human brain.
Not exact matches
The title of the paper is «Bioinformatic analysis reveals a
pattern of STAT3 - associated
gene expression specific to basal - like breast cancers in human tumors.»
Rather than listing
specific genes that manifest themselves differently, or are differentially expressed, between queens and workers, the team looked for
genes with similar
expression patterns across samples that may be involved in maintaining the structural, behavioural and functional differences observed between queens and workers.
The
patterns of these polymorphic
genes and their
expression profiles comprise the molecular signatures of unique pathophenotypes, offering the promise of diagnostic, prognostic, and therapeutic specificity; the definition of disease becomes «personalized», as does its
specific therapeutic targets.
Each subtype was classified by
gene expression clustering, and showed
specific patterns of genetic alterations, particularly for four
genes: platelet - derived growth factor receptor alpha (PDGFRA), isocitrate dehydrogenase 1 (IDH1), epidermal growfth factor receptor (EGFR), and neurofibromin 1 (NF1).
Chromatin loops, which allow contacts between regulatory elements controlling
gene expression, displayed cell type -
specific patterns (B cells vs. iPSCs)
This
gene was confirmed as the Nasonia ortholog of doublesex based on protein domains,
expression pattern, sex
specific splice forms, and experimental demonstration that splice forms are associated with sex in a gynandromorph producing line [18].
Makarevitch I, Harris C * (2010) Aneuploidy causes tissue -
specific qualitative changes in global
gene expression patterns in maize.
A. Partial snap shot of the «
Expression Waves» window that depicts detailed specific expression patterns of genes during consecutive days of ES cell differ
Expression Waves» window that depicts detailed
specific expression patterns of genes during consecutive days of ES cell differ
expression patterns of
genes during consecutive days of ES cell differentiation.
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.
Besides information gathered to answer
specific experimental questions, as determined by the interests of individual partners [35]--[41], the collective data offered the opportunity to search for coordinated
gene expression patterns in a systematic exploration of the mouse ES transcriptome under a battery of different experimental settings, thus minimizing possible site -
specific artifacts.
The FunGenES database provides such a template with a number of tools including Animation of KEGG Pathways,
Expression Waves, Time Series, Specific Gene Classes, such as ESTs and transcription factors, and searches for the expression pattern of any gene or transcript during ES cell differentiation using standard gene name
Expression Waves, Time Series,
Specific Gene Classes, such as ESTs and transcription factors, and searches for the expression pattern of any gene or transcript during ES cell differentiation using standard gene names and
Gene Classes, such as ESTs and transcription factors, and searches for the
expression pattern of any gene or transcript during ES cell differentiation using standard gene name
expression pattern of any
gene or transcript during ES cell differentiation using standard gene names and
gene or transcript during ES cell differentiation using standard
gene names and
gene names and IDs.
The «Time Series» clusters expanded the number of
genes that follow a
specific expression pattern revealed in the previous global hierarchical clustering.
During development,
genes within
specific cell types are turned on and off to trigger the necessary
expression patterns that create a whole animal.
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.
However,
gene variations, the presence of strain -
specific genes, and the occurrence of plasmids in strain GP59 could affect the
expression pattern of these common
genes.