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果蝇卵巢的全球蛋白质组分析:高分辨率、无偏倚、准确且多方面的分析

Global Proteomic Profiling of Drosophila Ovary: A High-resolution, Unbiased, Accurate and Multifaceted Analysis.

作者信息

Velentzas Athanassios D, Anagnostopoulos Athanasios K, Velentzas Panagiotis D, Mpakou Vassiliki E, Sagioglou Niki E, Tsioka Maria M, Katarachia Stamatia, Manta Areti K, Konstantakou Eumorphia G, Papassideri Issidora S, Tsangaris George T H, Stravopodis Dimitrios J

机构信息

Department of Cell Biology and Biophysics, Faculty of Biology, School of Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, Zografou, Athens, Greece.

Proteomics Research Unit, Center of Basic Research II, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.

出版信息

Cancer Genomics Proteomics. 2015 Nov-Dec;12(6):369-84.

Abstract

BACKGROUND

Drosophila melanogaster ovary serves as an attractive model system for the investigation of the cell cycle, death, signaling, migration, differentiation, development and stemness. By employing the 3750/+ heterozygote fly strain that carries specific functions in the follicle cell compartment, and a reliable control in GAL4/UAS-based transgenic technology, we herein characterized the protein-expression profiling of D. melanogaster ovary by applying high-resolution proteomic tools and bioinformatics programs.

MATERIALS AND METHODS

Whole-cell total protein extracts derived from 3750/+ fly ovaries were prepared under highly denaturing conditions and after tryptic digestion, their cognate peptides were processed to liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) analysis in a high-resolution LTQ Orbitrap Elite instrument. Obtained protein data were analyzed through use of UniProt, DAVID, KEGG and PANTHER bioinformatics platforms.

RESULTS

The 7,583 unique peptides identified show that fly ovary contains at least 2,103 single proteins, which are distributed to all egg chamber compartments, in cytoplasm, membrane and nucleus, compartmentalized into major cellular organelles, and categorized into critical macromolecular assemblies. Among the recognized specific functions, nucleic acid binding, hydrolase, oxidoreductase, transporter and vesicle-mediated trafficking activities were the most prevalent. Determinants implicated in cellular metabolism and gene expression are represented by ~41% and ~17% of the ovarian proteome, respectively. Surprisingly, several proteins were found engaged in aging, immune response and neurogenesis. All major signaling pathways were detected, while apoptotic and non-apoptotic cell death programs were also identified. Remarkably, proteins involved in tumor formation, neurodegenerative and inflammatory diseases were also recognized. The successful remodeling of the proteasome and nearly complete molecular reconstruction of the citrate cycle and fatty acid degradation pathways demonstrate the efficacy, accuracy and fidelity of our combined proteomics/bioinformatics approach.

CONCLUSION

Global proteomic characterization of D. melanogaster ovary allows the discovery of novel regulators and pathways, and provides a systemic view of networks that govern ovarian pathophysiology and embryonic development in fly species as well in humans.

摘要

背景

黑腹果蝇卵巢是研究细胞周期、死亡、信号传导、迁移、分化、发育和干性的理想模型系统。通过使用在卵泡细胞区室中具有特定功能的3750/+杂合果蝇品系,以及基于GAL4/UAS的转基因技术中的可靠对照,我们在此应用高分辨率蛋白质组学工具和生物信息学程序对黑腹果蝇卵巢的蛋白质表达谱进行了表征。

材料与方法

在高度变性条件下制备来自3750/+果蝇卵巢的全细胞总蛋白提取物,经胰蛋白酶消化后,其同源肽在高分辨率LTQ Orbitrap Elite仪器中进行液相色谱-质谱/质谱(LC-MS/MS)分析。通过使用UniProt、DAVID、KEGG和PANTHER生物信息学平台对获得的蛋白质数据进行分析。

结果

鉴定出的7583个独特肽段表明果蝇卵巢至少包含2103种单一蛋白质,这些蛋白质分布于所有卵室区室、细胞质、细胞膜和细胞核中,被分隔到主要细胞器中,并被分类为关键的大分子组装体。在已识别的特定功能中,核酸结合、水解酶、氧化还原酶、转运蛋白和囊泡介导的运输活性最为普遍。参与细胞代谢和基因表达的决定因素分别占卵巢蛋白质组的约41%和约17%。令人惊讶的是,发现几种蛋白质参与衰老、免疫反应和神经发生。检测到所有主要信号通路,同时也鉴定出凋亡和非凋亡细胞死亡程序。值得注意的是,还识别出参与肿瘤形成、神经退行性疾病和炎症性疾病的蛋白质。蛋白酶体的成功重塑以及柠檬酸循环和脂肪酸降解途径的几乎完全分子重建证明了我们蛋白质组学/生物信息学联合方法的有效性、准确性和保真度。

结论

黑腹果蝇卵巢的全蛋白质组表征有助于发现新的调节因子和途径,并提供了一个系统的网络视图,该网络控制果蝇和人类的卵巢病理生理学和胚胎发育。

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