Characterization of biomarkers in polycystic ovary syndrome (PCOS) using multiple distinct proteomic platforms.
A variety of prefractionation methods (including a novel reversed-phase solid-phase-extraction (RP-SPE) combined with SDS-PAGE and proteomic based approaches (e.g., 2-dimensional gel electrophoresis (2DE) and MALDI-TOF mass spectrometry combined with Artificial Neural Network (ANN) bioinformatic tools) were used to investigate the protein/peptide signatures in patients with Polycystic Ovary Syndrome (PCOS). Four potential PCOS biomarkers were identified (complement C4alpha3c and C4gamma and haptoglobin alpha and beta chains).
Matharoo-Ball
B
B
School of Biomedical and Natural Sciences, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, United Kingdom.
Hughes
C
C
Lancashire
L
L
Tooth
D
D
Ball
G
G
Creaser
C
C
Elgasim
M
M
Rees
R
R
Layfield
R
R
Atiomo
W
W
D015415:Biomarkers / Q000378:metabolism; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D005260:Female; D006801:Humans; D011085:Polycystic Ovary Syndrome / Q000378:metabolism*; D020543:Proteome / Q000378:metabolism*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods
D015415:Biomarkers; D020543:Proteome