Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Proteomics Research Center, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
J Ovarian Res. 2019 Jul 17;12(1):64. doi: 10.1186/s13048-019-0535-z.
Serous carcinoma, the subtype of ovarian cancer has the highest occurrence and mortality in women. Proteomic profiling using mass spectrometry (MS) has been used to detect biomarkers in tissue s obtained from patients with ovarian cancer. Thus, this study aimed at analyzing the interactome (protein-protein interaction (PPI)) and (MS) data to inspect PPI networks in patients with Low grade serous ovarian cancer.
For proteome profiling in Low grade serous ovarian cancer, 2DE and mass spectrometry were used. Differentially expressed proteins which had been determined in Low grade serous ovarian cancer and experimental group separately were integrated with PPI data to construct the (QQPPI) networks.
Six Hub-bottlenecks proteins with significant centrality values, based on centrality parameters of the network (Degree and between), were found including Transgelin (TAGLN), Keratin (KRT14), Single peptide match to actin, cytoplasmic 1(ACTB), apolipoprotein A-I (APOA1), Peroxiredoxin-2 (PRDX2), and Haptoglobin (HP).
This study showed these six proteins were introduced as hub-bottleneck protein. It can be concluded that regulation of gene expression can have a critical role in the pathology of Low-grade serous ovarian cancer.
浆液性癌是卵巢癌亚型中发病率和死亡率最高的一种。质谱（MS）的蛋白质组学分析已被用于检测卵巢癌患者组织中的生物标志物。因此，本研究旨在分析蛋白质相互作用（蛋白质-蛋白质相互作用（PPI））和（MS）数据，以检查低级别浆液性卵巢癌患者的 PPI 网络。
对于低级别浆液性卵巢癌的蛋白质组分析，使用了 2DE 和质谱技术。分别在低级别浆液性卵巢癌和实验组中确定的差异表达蛋白与 PPI 数据整合，构建（QQPPI）网络。
根据网络的中心性参数（度和介数），发现了六个具有显著中心性值的枢纽瓶颈蛋白，包括 Transgelin（TAGLN）、角蛋白（KRT14）、单肽匹配肌动蛋白、细胞质 1（ACTB）、载脂蛋白 A-I（APOA1）、过氧化物酶 2（PRDX2）和触珠蛋白（HP）。
本研究表明，这六种蛋白质被认为是枢纽瓶颈蛋白。可以得出结论，基因表达的调控可能在低级别浆液性卵巢癌的发病机制中起着关键作用。
