Framework for multiplicative scaling of single-cell proteomics

被引：9

作者：

Slavov, Nikolai ^{[1
]}

机构：

[1] Northeastern Univ, Boston, MA 02115 USA

来源：

NATURE BIOTECHNOLOGY | 2023年 / 41卷 / 01期

关键词：

D O I：

10.1038/s41587-022-01411-1

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Many biomedical questions demand scalable, deep, and accurate proteome analysis of small samples, including single cells. A scalable framework of multiplexed data-independent acquisition for mass spectrometry enables time saving by parallel analysis of both peptide ions and protein samples, thereby realizing multiplicative gains in throughput.

引用

页码：23 / 24

页数：2

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