Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32603, USA.
Nat Commun. 2020 Jun 19;11(1):3145. doi: 10.1038/s41467-020-16784-7.
While many aspects of archaeal cell biology remain relatively unexplored, systems biology approaches like mass spectrometry (MS) based proteomics offer an opportunity for rapid advances. Unfortunately, the enormous amount of MS data generated often remains incompletely analyzed due to a lack of sophisticated bioinformatic tools and field-specific biological expertise for data interpretation. Here we present the initiation of the Archaeal Proteome Project (ArcPP), a community-based effort to comprehensively analyze archaeal proteomes. Starting with the model archaeon Haloferax volcanii, we reanalyze MS datasets from various strains and culture conditions. Optimized peptide spectrum matching, with strict control of false discovery rates, facilitates identifying > 72% of the reference proteome, with a median protein sequence coverage of 51%. These analyses, together with expert knowledge in diverse aspects of cell biology, provide meaningful insights into processes such as N-terminal protein maturation, N-glycosylation, and metabolism. Altogether, ArcPP serves as an invaluable blueprint for comprehensive prokaryotic proteomics.
虽然古菌细胞生物学的许多方面仍未得到充分探索,但基于质谱 (MS) 的蛋白质组学等系统生物学方法为快速发展提供了机会。不幸的是,由于缺乏复杂的生物信息学工具和特定于领域的生物学专业知识来解释数据,大量生成的 MS 数据往往仍未得到完全分析。在这里,我们介绍了古菌蛋白质组计划 (ArcPP) 的启动,这是一项基于社区的努力,旨在全面分析古菌蛋白质组。从模式古菌盐沼盐杆菌开始,我们重新分析了来自不同菌株和培养条件的 MS 数据集。通过严格控制假发现率的优化肽谱匹配,可识别参考蛋白质组的 >72%,中位数蛋白质序列覆盖率为 51%。这些分析,以及细胞生物学各个方面的专业知识,为 N 端蛋白质成熟、N 糖基化和代谢等过程提供了有意义的见解。总之,ArcPP 为全面的原核蛋白质组学提供了宝贵的蓝图。