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Top-Down Proteomics of Medicinal Cannabis.

Authors :
Vincent D
Binos S
Rochfort S
Spangenberg G
Source :
Proteomes [Proteomes] 2019 Sep 24; Vol. 7 (4). Date of Electronic Publication: 2019 Sep 24.
Publication Year :
2019

Abstract

The revised legislation on medicinal cannabis has triggered a surge of research studies in this space. Yet, cannabis proteomics is lagging. In a previous study, we optimised the protein extraction of mature buds for bottom-up proteomics. In this follow-up study, we developed a top-down mass spectrometry (MS) proteomics strategy to identify intact denatured protein from cannabis apical buds. After testing different source-induced dissociation (SID), collision-induced dissociation (CID), higher-energy collisional dissociation (HCD), and electron transfer dissociation (ETD) parameters on infused known protein standards, we devised three LC-MS/MS methods for top-down sequencing of cannabis proteins. Different MS/MS modes produced distinct spectra, albeit greatly overlapping between SID, CID, and HCD. The number of fragments increased with the energy applied; however, this did not necessarily translate into greater sequence coverage. Some precursors were more amenable to fragmentation than others. Sequence coverage decreased as the mass of the protein increased. Combining all MS/MS data maximised amino acid (AA) sequence coverage, achieving 73% for myoglobin. In this experiment, most cannabis proteins were smaller than 30 kD. A total of 46 cannabis proteins were identified with 136 proteoforms bearing different post-translational modifications (PTMs), including the excision of N-terminal M, the N-terminal acetylation, methylation, and acetylation of K resides, and phosphorylation. Most identified proteins are involved in photosynthesis, translation, and ATP production. Only one protein belongs to the phytocannabinoid biosynthesis, olivetolic acid cyclase.<br />Competing Interests: The authors declare no conflict of interest.

Details

Language :
English
ISSN :
2227-7382
Volume :
7
Issue :
4
Database :
MEDLINE
Journal :
Proteomes
Publication Type :
Academic Journal
Accession number :
31554318
Full Text :
https://doi.org/10.3390/proteomes7040033