Evaluating Linear Ion Trap for MS3-Based Multiplexed Single-Cell Proteomics.

Evaluating Linear Ion Trap for MS3-Based Multiplexed Single-Cell Proteomics.
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DOI:
10.1021/acs.analchem.2c03739
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发表时间:
2023-01
影响因子:
7.4
通讯作者:
Junho Park;Fengchao Yu;J. Fulcher;Sarah M. Williams;Kristin M. Engbrecht;Ronald J. Moore;G. Clair;V. Petyuk;A. Nesvizhskii;Ying Zhu
Junho Park;Fengchao Yu;J. Fulcher;Sarah M. Williams;Kristin M. Engbrecht;Ronald J. Moore;G. Clair;V. Petyuk;A. Nesvizhskii;Ying Zhu
中科院分区:
化学1区
文献类型:
--
作者:
Junho Park;Fengchao Yu;J. Fulcher;Sarah M. Williams;Kristin M. Engbrecht;Ronald J. Moore;G. Clair;V. Petyuk;A. Nesvizhskii;Ying Zhu

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There is a growing demand to develop high-throughput and high-sensitivity mass spectrometry methods for single-cell proteomics. The commonly used isobaric labeling-based multiplexed single-cell proteomics approach suffers from distorted protein quantification due to co-isolated interfering ions during MS/MS fragmentation, also known as ratio compression. We reasoned that the use of MS3-based quantification could mitigate ratio compression and provide better quantification. However, previous studies indicated reduced proteome coverages in the MS3 method, likely due to long duty cycle time and ion losses during multilevel ion selection and fragmentation. Herein, we described an improved MS acquisition method for MS3-based single-cell proteomics by employing a linear ion trap to measure reporter ions. We demonstrated that linear ion trap can increase the proteome coverages for single-cell-level peptides with even higher gain obtained via the MS3 method. The optimized real-time search MS3 method was further applied to study the immune activation of single macrophages. Among a total of 126 single cells studied, over 1200 and 1000 proteins were quantifiable when at least 50 and 75% nonmissing data were required, respectively. Our evaluation also revealed several limitations of the low-resolution ion trap detector for multiplexed single-cell proteomics and suggested experimental solutions to minimize their impacts on single-cell analysis.