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Dataset Information

A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle.


ABSTRACT:

Background

Systems biology enables the identification of gene networks that modulate complex traits. Comprehensive metabolomic analyses provide innovative phenotypes that are intermediate between the initiator of genetic variability, the genome, and raw phenotypes that are influenced by a large number of environmental effects. The present study combines two concepts, systems biology and metabolic analyses, in an approach without prior functional hypothesis in order to dissect genes and molecular pathways that modulate differential growth at the onset of puberty in male cattle. Furthermore, this integrative strategy was applied to specifically explore distinctive gene interactions of non-SMC condensin I complex, subunit G (NCAPG) and myostatin (GDF8), known modulators of pre- and po

SUBMITTER: Widmann P 

PROVIDER: S-EPMC3840609 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature