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Divergent transcriptional responses to independent genetic causes of cardiac hypertrophy

Authors: B J, Aronow; T, Toyokawa; A, Canning; K, Haghighi; U, Delling; E, Kranias; J D, Molkentin; +1 Authors

Divergent transcriptional responses to independent genetic causes of cardiac hypertrophy

Abstract

To define molecular mechanisms of cardiac hypertrophy, genes whose expression was perturbed by any of four different transgenic mouse hypertrophy models [protein kinase C-ε activation peptide (ΨεRACK), calsequestrin (CSQ), calcineurin (CN), and Gαq] were compared by DNA microarray analyses using the ∼8,800 genes present on the Incyte mouse GEM1. The total numbers of regulated genes (tens to hundreds) correlated with phenotypic severity of the model (Gαq> CN > CSQ > ΨεRACK), but demonstrated that no single gene was consistently upregulated. Of the three models exhibiting pathological hypertrophy, only atrial natriuretic peptide was consistently upregulated, suggesting that transcriptional alterations are highly specific to individual genetic causes of hypertrophy. However, hierarchical-tree and K-means clustering analyses revealed that subsets of the upregulated genes did exhibit coordinate regulatory patterns that were unique or overlapping across the different hypertrophy models. One striking set consisted of apoptotic genes uniquely regulated in the apoptosis-prone Gαqmodel. Thus, rather than identifying a single common hypertrophic cardiomyopathy gene program, these data suggest that extensive groups of genes may be useful for the prediction of specific underlying genetic determinants and condition-specific therapeutic approaches.

Keywords

Transcription, Genetic, Calcineurin, Gene Expression Profiling, Apoptosis, Cardiomegaly, Mice, Transgenic, Protein Kinase C-epsilon, Heterotrimeric GTP-Binding Proteins, Up-Regulation, Isoenzymes, Mice, Animals, Calsequestrin, GTP-Binding Protein alpha Subunits, Gq-G11, RNA, Messenger, Protein Kinase C, Oligonucleotide Array Sequence Analysis

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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!
106
Top 10%
Top 10%
Top 1%