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线性离子阱在非依赖数据采集方法中的应用有益于低投入蛋白质组学。

Use of Linear Ion Traps in Data-Independent Acquisition Methods Benefits Low-Input Proteomics.

机构信息

Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain.

Universitat Pompeu Fabra, 08003 Barcelona, Spain.

出版信息

Anal Chem. 2021 Aug 31;93(34):11649-11653. doi: 10.1021/acs.analchem.1c01885. Epub 2021 Aug 17.

Abstract

The need for a better understanding of cellular heterogeneity has pushed mass spectrometry technologies to the analysis of single-cell and single-cell-type proteomes, although several challenges still limit their widespread implementation. Among the efforts toward single-cell and low-input analyses, there is the adoption of data-independent acquisition methods to increase analytical sensitivity. Here, we revisited the use of linear ion traps mass analyzers in data-independent acquisition methods and demonstrate their benefits to boost peptide and protein identifications in low-input proteomes.

摘要

对细胞异质性的深入了解推动了质谱技术在单细胞和单细胞类型蛋白质组学分析中的应用,尽管仍有几个挑战限制了其广泛应用。在单细胞和低样本量分析的努力中,采用了数据非依赖性采集方法来提高分析灵敏度。在这里,我们重新审视了线性离子阱质谱仪在数据非依赖性采集方法中的应用,并证明了它们在提高低样本量蛋白质组中肽和蛋白质鉴定的有效性。

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