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大数据挖掘助力真菌研究:裂殖酵母系统生物学方法的最新进展

Big data mining powers fungal research: recent advances in fission yeast systems biology approaches.

作者信息

Wang Zhe

机构信息

State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, 2005 Song-Hu Road, Shanghai, 200438, China.

Division of Infectious Diseases, Weill Medical College of Cornell University, 413 E 69th St, New York, NY, 10021, USA.

出版信息

Curr Genet. 2017 Jun;63(3):427-433. doi: 10.1007/s00294-016-0657-4. Epub 2016 Oct 11.

DOI:10.1007/s00294-016-0657-4
PMID:27730285
Abstract

Biology research has entered into big data era. Systems biology approaches therefore become the powerful tools to obtain the whole landscape of how cell separate, grow, and resist the stresses. Fission yeast Schizosaccharomyces pombe is wonderful unicellular eukaryote model, especially studying its division and metabolism can facilitate to understanding the molecular mechanism of cancer and discovering anticancer agents. In this perspective, we discuss the recent advanced fission yeast systems biology tools, mainly focus on metabolomics profiling and metabolic modeling, protein-protein interactome and genetic interaction network, DNA sequencing and applications, and high-throughput phenotypic screening. We therefore hope this review can be useful for interested fungal researchers as well as bioformaticians.

摘要

生物学研究已进入大数据时代。因此,系统生物学方法成为获取细胞如何分裂、生长以及抵抗压力的全貌的有力工具。裂殖酵母粟酒裂殖酵母是出色的单细胞真核生物模型,尤其是研究其分裂和代谢有助于理解癌症的分子机制并发现抗癌药物。从这个角度出发,我们讨论了裂殖酵母系统生物学的最新先进工具,主要集中在代谢组学分析和代谢建模、蛋白质-蛋白质相互作用组和遗传相互作用网络、DNA测序及应用以及高通量表型筛选。因此,我们希望这篇综述对感兴趣的真菌研究人员以及生物信息学家有用。

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The power of fission: yeast as a tool for understanding complex splicing.裂变的力量:酵母作为理解复杂剪接的工具
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