An Always Correlated gene expression landscape for ovine skeletal muscle, lessons learnt from comparison with an "equivalent" bovine landscape.

ABSTRACT:

Background

We have recently described a method for the construction of an informative gene expression correlation landscape for a single tissue, longissimus muscle (LM) of cattle, using a small number (less than a hundred) of diverse samples. Does this approach facilitate interspecies comparison of networks?

Findings

Using gene expression datasets from LM samples from a single postnatal time point for high and low muscling sheep, and from a developmental time course (prenatal to postnatal) for normal sheep and sheep exhibiting the Callipyge muscling phenotype gene expression correlations were calculated across subsets of the data comparable to the bovine analysis. An "Always Correlated" gene expression landscape was constructed by integrating the correlations from the subset

SUBMITTER: Sun W 

PROVIDER: S-EPMC3543716 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature