Unknown

Dataset Information

Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches.


ABSTRACT:

Background

Neuropeptides are cell to cell signalling molecules that regulate many critical biological processes including development, growth and reproduction. These peptides result from the complex processing of prohormone proteins, making their characterization both challenging and resource demanding. In fact, only 42 neuropeptide genes have been empirically confirmed in cattle. Neuropeptide research using high-throughput technologies such as microarray and mass spectrometry require accurate annotation of prohormone genes and products. However, the annotation and associated prediction efforts, when based solely on sequence homology to species with known neuropeptides, can be problematic.

Results

Complementary bioinformatic resources were integrated in the first survey of t

SUBMITTER: Southey BR 

PROVIDER: S-EPMC2698874 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature