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Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell.

Authors :
Cong Y
Motamedchaboki K
Misal SA
Liang Y
Guise AJ
Truong T
Huguet R
Plowey ED
Zhu Y
Lopez-Ferrer D
Kelly RT
Source :
Chemical science [Chem Sci] 2020 Nov 17; Vol. 12 (3), pp. 1001-1006. Date of Electronic Publication: 2020 Nov 17.
Publication Year :
2020

Abstract

We report on the combination of nanodroplet sample preparation, ultra-low-flow nanoLC, high-field asymmetric ion mobility spectrometry (FAIMS), and the latest-generation Orbitrap Eclipse Tribrid mass spectrometer for greatly improved single-cell proteome profiling. FAIMS effectively filtered out singly charged ions for more effective MS analysis of multiply charged peptides, resulting in an average of 1056 protein groups identified from single HeLa cells without MS1-level feature matching. This is 2.3 times more identifications than without FAIMS and a far greater level of proteome coverage for single mammalian cells than has been previously reported for a label-free study. Differential analysis of single microdissected motor neurons and interneurons from human spinal tissue indicated a similar level of proteome coverage, and the two subpopulations of cells were readily differentiated based on single-cell label-free quantification.<br />Competing Interests: There are no conflicts to declare.<br /> (This journal is © The Royal Society of Chemistry.)

Details

Language :
English
ISSN :
2041-6520
Volume :
12
Issue :
3
Database :
MEDLINE
Journal :
Chemical science
Publication Type :
Academic Journal
Accession number :
34163866
Full Text :
https://doi.org/10.1039/d0sc03636f