Département Médicaments Et Technologies Pour La Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200, Bagnols-Sur-Cèze, France.
Thermo Fisher Scientific GmbH, 63303, Dreieich, Germany.
Microbiome. 2024 Mar 7;12(1):46. doi: 10.1186/s40168-024-01766-4.
By analyzing the proteins which are the workhorses of biological systems, metaproteomics allows us to list the taxa present in any microbiota, monitor their relative biomass, and characterize the functioning of complex biological systems.
Here, we present a new strategy for rapidly determining the microbial community structure of a given sample and designing a customized protein sequence database to optimally exploit extensive tandem mass spectrometry data. This approach leverages the capabilities of the first generation of Quadrupole Orbitrap mass spectrometer incorporating an asymmetric track lossless (Astral) analyzer, offering rapid MS/MS scan speed and sensitivity. We took advantage of data-dependent acquisition and data-independent acquisition strategies using a peptide extract from a human fecal sample spiked with precise amounts of peptides from two reference bacteria.
Our approach, which combines both acquisition methods, proves to be time-efficient while processing extensive generic databases and massive datasets, achieving a coverage of more than 122,000 unique peptides and 38,000 protein groups within a 30-min DIA run. This marks a significant departure from current state-of-the-art metaproteomics methodologies, resulting in broader coverage of the metabolic pathways governing the biological system. In combination, our strategy and the Astral mass analyzer represent a quantum leap in the functional analysis of microbiomes. Video Abstract.
通过分析生物系统的主力军——蛋白质,宏蛋白质组学使我们能够列出任何微生物群中的分类群,监测它们的相对生物量,并描述复杂生物系统的功能。
在这里,我们提出了一种新的策略,用于快速确定给定样本的微生物群落结构,并设计一个定制的蛋白质序列数据库,以最佳利用广泛的串联质谱数据。该方法利用了第一代四极杆轨道阱质谱仪的能力,该质谱仪结合了不对称轨道损耗(Astral)分析器,提供了快速的 MS/MS 扫描速度和灵敏度。我们利用来自人粪便样本的肽提取物,采用来自两种参考细菌的精确量肽进行数据依赖采集和数据独立采集策略。
我们的方法结合了这两种采集方法,在处理广泛的通用数据库和大量数据集时,证明是高效的,在 30 分钟的 DIA 运行中实现了超过 122000 个独特肽和 38000 个蛋白质组的覆盖。这与当前最先进的宏蛋白质组学方法有显著不同,导致对控制生物系统的代谢途径的更广泛覆盖。总之,我们的策略和 Astral 质量分析器代表了微生物组功能分析的重大突破。视频摘要。