journal article·2021-03-17

Mesoporous Silica as Sorbents and Enzymatic Nanoreactors for Microbial Membrane Proteomics

Jinzhi Zhao, Ruijun Jian, Yuning Wang, Beibei Yang, Dan Zhao, Chengpin Shen, Liang Qiao, Baohong Liu

ACS Applied Materials & Interfaces· Volume 13· Issue 10
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Abstract

The membrane proteins of microbes are at the forefront of host and parasite interactions. Having a general view of the functions of microbial membrane proteins is vital for many biomedical studies on microbiota. Nevertheless, due to the strong hydrophobicity and low concentration of membrane proteins, it is hard to efficiently enrich and digest the proteins for mass spectrometry analysis. Herein, we design an enzymatic nanoreactor for the digestion of membrane proteins using methylated well-ordered hexagonal mesoporous silica (Met-SBA-15). The material can efficiently extract hydrophobic membrane proteins and host the proteolysis in nanopores. The performance of the enzymatic nanoreactor is first demonstrated using standard hydrophobic proteins and then validated using membrane proteins extracted from Escherichia coli (E. coli) or a mixed bacterial sample of eight strains. Using the nanoreactor, 431 membrane proteins are identified from E. coli, accounting for 38.5% of all membrane proteins of the species, which is much more than that by the widely used in-solution digestion protocol. From the mixed bacterial sample of eight strains, 1395 membrane proteins are identified using the nanoreactor. On the contrary, the traditional in-solution proteolysis workflow only leads to the identification of 477 membrane proteins, demonstrating that the Met-SBA-15 can be offered as an excellent tool for microbial membrane proteome research and is expected to be used in human microbiota studies, e.g. host–microbe interactions.
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Research context

OpenAlex topics: Advanced Proteomics Techniques and Applications · Advanced biosensing and bioanalysis techniques · Genomics and Phylogenetic Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China

Department of Chemistry and Chemical Engineering, Nantong University, Nantong 226000, China

Shanghai Omicsolution Co., Ltd., Shanghai 201100, China

Funding

Ministry of Science and Technology of the People's Republic of China · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China

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