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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Protein profiling of complete mole and normal placenta using ProteinChip analysis on laser capture microdissected
Jozsef Batorfi1, Bin Ye, Samuel C Mok
1Department of Obstetrics and Gynecology, National Health Center, Budapest, Hungary.
Introduction:
Surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS) is a novel method for biomarker discovery that can provide a rapid protein expression profile from a variety of biological samples. Since SELDI-MS requires a small amount of biological material, this technique is ideal for analyzing proteins isolated from microdissected tissue samples. The current study was undertaken to investigate potential differences in protein expression between normal and molar trophoblast procured by laser capture microdissection (LCM) utilizing SELDI ProteinChip array technology. Further knowledge of protein expression in complete mole may advance our understanding of the pathogenesis of gestational trophoblastic diseases.
Materials And Methods:
Laser capture microdissected trophoblast cells from nine fresh complete moles were analyzed and compared to the trophoblast cells from 10 fresh normal placentas of comparable gestational age, using SELDI ProteinChip to identify potential differences in protein expression.
Results:
Three metal binding polypeptides were identified with the estimated molecular weights of 11.3, 13.8, and 14.0 kDa, which appeared in significantly lower levels in complete mole as compared to normal trophoblast cells (P < 0.001, P < 0.03, and P < 0.01).
Discussion:
While further characterization of these protein peaks is important and necessary, our current work clearly demonstrates that the combined technology of SELDI and LCM is effective in distinguishing protein expression between normal placenta and complete mole. Further knowledge of protein expression in complete mole may advance our understanding of molecular mechanisms and improve management in gestational trophoblastic diseases.

