Jiawei Mao

Dr. Mao earned his Ph.D. in Analytical Chemistry from the University of Chinese Academy of Sciences from September 2011 to June 2019. He served as a Research and Development Engineer at Shenzhen Mindray Bio-Medical Electronics Co., Ltd. from September 2020 to December 2020, and has been an Associate Research Fellow at Guangzhou National Laboratory since May 2023. Dr. Mao’s research focuses on computational proteomics, with particular emphasis on mass spectrometry data interpretation of post-translational modifications. He established a comprehensive proteomic mass spectrometry data analysis platform covering the entire analytical workflow including mass spectrometry data reading/writing, spectral preprocessing, theoretical protein digestion, theoretical peptide fragmentation, peptide-spectrum matching, and spectral visualization. On this basis, he developed the proteomic database search engine MS-Decipher. He also developed or contributed to the development of multiple software tools for interpreting complex modification mass spectrometry data, including O-Search for O-glycopeptide data analysis enabling comprehensive characterization of O-glycosylation in complex samples, Glyco-Decipher for N-glycopeptide data analysis, as well as a dedicated analytical tool for protein methylation metabolic labeling data that effectively addresses the sensitivity and false-positive challenges in methylation identification.

Selected publications:
1. Mao J, Zhu H, Liu L, Fang Z, Dong M, Qin H, Ye M. MS-Decipher: a user-friendly proteome database search software with an emphasis on deciphering the spectra of O-linked glycopeptides. Bioinformatics, 2022, 38(7): 1911–1919.
2. Wang K, Zhang L, Zhang S, Liu Y, Mao J, Liu Z, Xu L, Li K, Wang J, Ma Y, Wang J, Li H, Wang Z, Li G, Cheng H, Ye M. Metabolic labeling based methylome profiling enables functional dissection of histidine methylation in C3H1 zinc fingers. Nature Communications, 2024, 15(1): 7459.
3. Mao J, You X, Qin H, Wang C, Wang L, Ye M. A New Searching Strategy for the Identification of O-Linked Glycopeptides. Analytical Chemistry, 2019, 91(6): 3852–3859.
4. Rcheulishvili N, Mao J, Papukashvili D, Liu C, Wang Z, Zhao J, Xie F, Pan X, Ji Y, He Y, Wang PG. Designing multi-epitope mRNA construct as a universal influenza vaccine candidate for future epidemic/pandemic preparedness. International Journal of Biological Macromolecules, 2023, 226: 885–899.