Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell. Issue 3 (20th November 2020)

• Record Type: Journal Article
• Authors: Cong, Yongzheng; Motamedchaboki, Khatereh; Misal, Santosh A.; Liang, Yiran; Guise, Amanda J.; Truong, Thy; Huguet, Romain; Plowey, Edward D.; Zhu, Ying; Lopez-Ferrer, Daniel; Kelly, Ryan T.
• Is Part Of: Chemical science. Volume 12:Issue 3(2021)
• Page Start: 1001
• Page End: 1006
• Publication Date: 2020-11-20
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d0sc03636f
• Languages: English
• ISSNs: 2041-6520

Abstract

Abstract : The combination of nanodroplet sample preparation, ultra-low-flow nanoLC, high-field asymmetric ion mobility spectrometry (FAIMS) and latest-generation mass spectrometry instrumentation provides dramatically improved single-cell proteome profiling. 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.