Classification of lactate dehydrogenase of different origin by liquid chromatography-mass spectrometry and multivariate analysis.
A method intended to serve as a multivariate quality control tool in the production of pharmaceutical proteins is presented. The method is based on multivariate analysis of peptide maps generated with liquid chromatography-mass spectrometry (LC-MS). Lactate dehydrogenase (LDH) from different species and tissues were used as model compounds in the study. The proteins were digested with Endoproteinase Lys-C before the LC-MS analysis. After data pretreatment of the peptide maps, successful classification of the LDHs were obtained by discriminant analysis with partial least squares regression and artificial neural networks. Further, principal component analysis was applied to visualize the relationships between the samples.
Bylund
Dan
D
Department of Analytical Chemistry, Uppsala University, Uppsala, Sweden.
Samskog
Jenny
J
Markides
Karin E
KE
Jacobsson
Sven P
SP
D000818:Animals; D002417:Cattle; D002853:Chromatography, Liquid; D007770:L-Lactate Dehydrogenase / Q000737:chemistry* / Q000145:classification* / Q000378:metabolism; D013058:Mass Spectrometry / Q000379:methods*; D008666:Metalloendopeptidases / Q000378:metabolism; D015999:Multivariate Analysis; D009206:Myocardium / Q000201:enzymology; D009928:Organ Specificity; D010449:Peptide Mapping; D011786:Quality Control; D011817:Rabbits; D013045:Species Specificity; D013552:Swine
D007770:L-Lactate Dehydrogenase; D008666:Metalloendopeptidases; C039830:peptidyl-Lys metalloendopeptidase