Also,
gene expression analysis showed that ERBB2 expression correlates with outcome (higher expression = poor prognosis).
Not exact matches
In subsequent
analyses, striking losses in
gene expression were observed in genomic regions that had become increasingly methylated with age, whereas regions that had become less methylated
showed increases in
gene expression.
An
analysis of
gene expression of the known fungal partner in the two species
showed no differences.
Analysis showed that incremental changes in the number of repeats caused non-harmful variations in the
expression of the
genes regulated by Ssn6.
Based on
analyses of over 600 drug and breast cancer cell pairings, researchers
showed that, for some cells, drug exposure can cause significant changes in
gene expression — indicating the successful action of a drug on its target — without affecting cell growth or survival.
Using this «Ribotag» approach tissue - specific changes under DR have been measured in muscle, fat, gut, heart, neurons, germline and malpighian tubules,
showing a highly tissue specific response upon DR.. We are developing mechanistic models of
gene expression regulation and conducting comprehensive bioinformatics
analyses on UTRs, promoters and the coding sequences of various elements of differentially regulated
genes.
Figure S4
shows expression analysis of all components of the sensing
gene circuit (ss - TNT.
In line with previous studies12, 13,15,17,20 our
analyses show that the investigation of the impact of post-mortem ischemia in tissue transcriptomes is essential to properly interpret
gene expression estimates obtained from post-mortem tissue samples.
Further comparative genomic and transcriptomic
analyses showed infection severity correlated with the
expression levels of certain
genes shared by nearly all E. coli, including
genes involved in motility and nutrient utilization.
Since there is a higher than 95 % chance that cluster assignments are accurate (Supplemental File S2), and our validation
analysis shows that 90.7 % of the array
expression patterns match the RNA
analysis results using other techniques (e.g., Q - PCR), we estimate that more than 86 % of the
genes in a cluster follow the corresponding average
expression profile.
Analyses of macrophages from Tet2 knockout mice
showed elevated
expression of several chemokine and cytokine
genes that contribute to atherosclerosis.
The present study
shows that such a gradient is also seen at the level of single cell
analysis, but reveals that there is considerable cell - to - cell variation within this gradient in the
expression of pluripotency
genes.
We
show further support for the method's efficacy by exploiting allele - specific
gene expression levels, and differential
expression analyses.
Transcriptomics
analysis of inguinal WAT
showed a marked effect of cold on overall
gene expression, as revealed by principle component
analysis and hierarchical clustering.