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Riechert, E.

Publications and source records attributed to Riechert, E..

2 recordsLinked to original sources

Muscle specific translational control of Cand2 by mTORC1 regulates adverse cardiac remodeling

The mechanistic target of rapamycin (mTOR) is a key regulator of pathological remodeling in the heart by activating ribosomal biogenesis and mRNA translation. Inhibition of mTOR in cardiomyocytes is protective, however, a detailed role of mTOR in translational regulation of specific mRNA networks in the diseased heart is largely unknown. A cardiomyocyte genome-wide sequencing approach was used to define mTOR-dependent post-transcriptional gene expression control at the level of mRNA translation. This approach identified the muscle-specific protein Cullin-associated NEDD8-dissociated protein 2 (Cand2) as a translationally upregulated gene, dependent on the activity of mTOR. Deletion of Cand2 protects the myocardium against pathological remodeling. Mechanistically, we found that Cand2 links mTOR signaling to pathological cell growth by increasing Grk5 protein expression. Our data suggest that cell-type-specific targeting of mTOR might have therapeutic value for adverse pathological cardiac remodeling.

molecular biology

A multi-network comparative analysis of transcriptome and translatome in cardiac remodeling

Our understanding of the transition from physiological to pathological cardiac hypertrophy remains elusive and largely based on reductionist hypotheses. Here, we profiled the translatomes of 15 mouse hearts to provide a molecular blueprint of altered gene networks in early cardiac remodeling. Using co-expression analysis, we reveal how sub-networks are orchestrated into functional modules associated with pathological phenotypes. We show how transcriptome networks are only partially reproducible at the translatome level. We find unappreciated hub genes and genes in the transcriptional network that were rewired in the translational network, and associated with semantically different subsets of enriched functional terms, providing novel insights into the complexity of the organization of in vivo cardiac regulatory networks.View Full Text

bioinformatics