Characterizing the Range of Extracellular Protein Post-Translational Modifications in a Cellulose-Degrading Bacteria Using a Multiple Proteolyic Digestion/Peptide Fragmentation Approach

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• 作者：Andrew B. Dykstra ; Miguel Rodriguez ; Jr. ; Babu Raman ; Kelsey D. Cook ; Robert L. Hettich
• 刊名：Analytical Chemistry
• 出版年：2013
• 出版时间：March 19, 2013
• 年：2013
• 卷：85
• 期：6
• 页码：3144-3151
• 全文大小：504K
• 年卷期：v.85,no.6(March 19, 2013)
• ISSN：1520-6882

文摘

Post-translational modifications (PTMs) are known to play a significant role in many biological functions. The focus of this study is to optimize an integrated experimental/informatics approach to more confidently characterize the range of post-translational modifications of the cellulosome protein complex used by the bacterium Clostridium thermocellum to better understand how this protein machine is tuned for enzymatic cellulose solubilization. To enhance comprehensive characterization, the extracellular cellulosome proteins were analyzed using multiple proteolytic digests (trypsin, Lys-C, Glu-C) and multiple fragmentation techniques (collisionally activated dissociation, electron transfer dissociation, decision tree). As expected, peptide and protein identifications were increased by utilizing alternate proteases and fragmentation methods, in addition to the increase in protein sequence coverage. The complementarity of these experiments also allowed for a global exploration of PTMs associated with the cellulosome based upon a set of defined PTMs that included methylation, oxidation, acetylation, phosphorylation, and signal peptide cleavage. In these experiments, 85 modified peptides corresponding to 28 cellulosome proteins were identified. Many of these modifications were located in active cellulolytic or structural domains of the cellulosome proteins, suggesting a level of possible regulatory control of protein function in various cellulotyic conditions. The use of complementary proteolytic digestion/peptide fragmentation processes allowed for independent verification of PTMs in different experiments, thus leading to increased confidence in PTM identifications.