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沼气厂的元蛋白质组学分析:从实验室到生物信息学的完整工作流程

Metaproteomic Analysis of Biogas Plants: A Complete Workflow from Lab to Bioinformatics.

作者信息

Heyer Robert, Schallert Kay, Briza Marie, Benndorf Dirk

机构信息

Leibniz Institute for Analytical Sciences - ISAS, Multidimensional Omics Analysis Group, Dortmund, Germany.

Bielefeld University, Faculty of Technology, Bielefeld, Germany.

出版信息

Methods Mol Biol. 2024;2820:99-113. doi: 10.1007/978-1-0716-3910-8_10.

Abstract

Metaproteomics represents a promising and fast method to analyze the taxonomic and functional composition of biogas plant microbiomes. However, metaproteomics sample preparation and bioinformatics analysis is still challenging due to the sample complexity and contaminants. In this chapter, a tailored workflow including sampling, phenol extraction in a ball mill, amido black protein quantification, FASP digestion, LC-MS/MS measurement as well as bioinformatics and biostatistical data evaluation are here described for the metaproteomics advancements applied to biogas plant samples.

摘要

宏蛋白质组学是一种用于分析沼气厂微生物群落分类和功能组成的很有前景且快速的方法。然而,由于样品的复杂性和污染物的存在,宏蛋白质组学样品制备和生物信息学分析仍然具有挑战性。在本章中,将描述一种针对应用于沼气厂样品的宏蛋白质组学进展的定制工作流程,包括采样、球磨中的苯酚提取、氨基黑蛋白质定量、FASP消化、液相色谱-串联质谱测量以及生物信息学和生物统计学数据评估。

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