A proteomic approach combining MS and bioinformatic analysis for the detection and identification of biomarkers of administration of exogenous human growth hormone in humans

An integrated MS-based proteomic approach is described that combines MALDI-MS and LC-MS with artificial neural networks for the identification of protein and peptide biomarkers associated with recombinant human growth hormone (rhGH) administration. Serum from exercised males administered with rhGH o...

Full description

Bibliographic Details

Main Authors:	Joshua Boateng, Richard G. Kay, Lee Lancashire, Pamela Brown, Cristiana Velloso, Pierre Bouloux, Phil Teale, Jane Roberts, Robert Rees, Graham Ball, Stephen Harridge, Geoffrey Goldspink, Colin Creaser
Format:	Default Article
Published:	2009
Subjects:	Other chemical sciences not elsewhere classified Bioinformatics ESI-MS/MS LC MALDI Serum biomarkers Chemical Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/15895
Tags:	Add Tag No Tags, Be the first to tag this record!