Yongzheng Cong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yongzheng Cong has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Amanda J. Guise
Biogen, Inc.
1 shared publication - Daniel Lopez-Ferrer
Thermo Fisher Scientific
1 shared publication - Edward D. Plowey
Biogen, Cambridge, MA, USA
1 shared publication - Khatereh Motamedchaboki
Thermo Fisher Scientific
1 shared publication - Romain Huguet
Thermo Fisher Scientific (United States)
1 shared publication - Ryan T. Kelly
Brigham Young University
1 shared publication
Latest Publications
- Open Access
Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell
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.
Open AccessUltrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell
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.