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Prediction of left ventricle systolic dysfunction in mice using gene expression profiling

Prediction of left ventricle systolic dysfunction in mice using gene expression profiling

Abstract

We tested the hypothesis that a set of differentially expressed genes could be used to predict cardiovascular phenotype in mice after prolonged catecholamine stress. Keywords: Treatment Overall design: We observed that WT FVB and B2KO mice developed systolic dysfunction in response to continuous catecholamine infusion while WT C57 mice developed diastolic dysfunction. Using these mice as the derivation cohort, we identified a set of 83 genes whose differential expression correlated with left ventricle systolic dysfunction. The gene set was then used to accurately predict development of left ventricle systolic dysfunction in a separate group of mice (WT B6129SF2/J) after catecholamine stress.

Keywords

Transcriptomics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average