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从同一独特样本中依次分离代谢物、RNA、DNA和蛋白质。

Sequential isolation of metabolites, RNA, DNA, and proteins from the same unique sample.

作者信息

Roume Hugo, Heintz-Buschart Anna, Muller Emilie E L, Wilmes Paul

机构信息

Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.

出版信息

Methods Enzymol. 2013;531:219-36. doi: 10.1016/B978-0-12-407863-5.00011-3.

Abstract

In microbial ecology, high-resolution molecular approaches are essential for characterizing the vast organismal and functional diversity and understanding the interaction of microbial communities with biotic and abiotic environmental factors. Integrated omics, comprising genomics, transcriptomics, proteomics, and metabolomics allows conclusive links to be drawn between genetic potential and function. However, this requires truly systematic measurements. In this chapter, we first assess the levels of heterogeneity within mixed microbial communities, thereby demonstrating the need for analyzing biomolecular fractions obtained from a single and undivided sample to facilitate multi-omic analysis and meaningful data integration. Further, we describe a methodological workflow for the reproducible isolation of concomitant metabolites, RNA (optionally split into large and small RNA fractions), DNA, and proteins. Depending on the nature of the sample, the methodology comprises different (pre)processing and preservation steps. If possible, extracellular polar and nonpolar metabolites may first be extracted from cell supernatants using organic solvents. Cells are homogenized by cryomilling before small molecules are extracted with organic solvents. After cell lysis, nucleic acids and protein fractions are sequentially isolated using chromatographic spin columns. To prove the broad applicability of the methodology, we applied it to microbial consortia of biotechnological (biological wastewater treatment biomass), environmental (freshwater planktonic communities), and biomedical (human fecal sample) research interest. The methodological framework should be applicable to other microbial communities as well as other biological samples with a minimum of tailoring and represents an important first step in standardization for the emerging field of Molecular Eco-Systems Biology.

摘要

在微生物生态学中,高分辨率分子方法对于表征巨大的生物多样性和功能多样性以及理解微生物群落与生物和非生物环境因素之间的相互作用至关重要。整合组学,包括基因组学、转录组学、蛋白质组学和代谢组学,能够在遗传潜力和功能之间建立确凿的联系。然而,这需要真正系统的测量。在本章中,我们首先评估混合微生物群落中的异质性水平,从而证明需要分析从单个未分割样本中获得的生物分子组分,以促进多组学分析和有意义的数据整合。此外,我们描述了一种可重复分离伴随代谢物、RNA(可选择分为大RNA和小RNA组分)、DNA和蛋白质的方法流程。根据样品的性质,该方法包括不同的(预)处理和保存步骤。如果可能,细胞上清液中的细胞外极性和非极性代谢物可首先使用有机溶剂进行提取。在使用有机溶剂提取小分子之前,通过低温研磨使细胞匀浆。细胞裂解后,使用色谱旋转柱依次分离核酸和蛋白质组分。为了证明该方法的广泛适用性,我们将其应用于生物技术(生物废水处理生物质)、环境(淡水浮游生物群落)和生物医学(人类粪便样本)研究感兴趣的微生物群落。该方法框架应至少经过最少的调整即可应用于其他微生物群落以及其他生物样本,并且代表了新兴的分子生态系统生物学领域标准化的重要第一步。

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