Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients

@article{Li2016ProteomicPF,
  title={Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients},
  author={Li Li and Jiangyu Zhang and Qingshan Deng and Jieming Li and Zhengfen Li and Yao Xiao and Shui-wang Hu and Tiantian Li and Qiuxiao Tan and Xiaofang Li and Bingshu Luo and Hui-qin Mo},
  journal={PLoS ONE},
  year={2016},
  volume={11}
}
Objectives To identify differential protein expression pattern associated with polycystic ovary syndrome (PCOS). Methods Twenty women were recruited for the study, ten with PCOS as a test group and ten without PCOS as a control group. Differential in-gel electrophoresis (DIGE) analysis and mass spectroscopy were employed to identify proteins that were differentially expressed between the PCOS and normal ovaries. The differentially expressed proteins were further validated by western blot (WB… 

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