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AutoProteome Chip System for Fully Automated and Integrated Proteomics Sample Preparation and Peptide Fractionation

Authors :
Zhikun Wang
Yan Gao
An He
Lingjue Wang
Mi Ke
Ruijun Tian
Xue Lu
Peiwu Huang
Wendong Chen
Weina Gao
Source :
Analytical chemistry. 92(13)
Publication Year :
2020

Abstract

With recent advances in LC-MS systems, current MS-based proteomics has an increasing need for automated, high-throughput sample preparation with neglectable sample loss. In this study, we developed a microfluidic system for fully automated proteomics sample preparation. All of the required proteomics sample preparation steps for both protein digestion and peptide fractionation are fully integrated into a disposable plastic chip device (named AutoProteome Chip). The AutoProteome Chip packed with mixed-mode ion exchange beads and C18 membrane in tandem could be fabricated with very low cost and high stability in organic reagents. Benefiting from its low backpressure, the AutoProteome Chip could be precisely driven by gas pressure, which could be easily multiplexed. As low as 2 ng of standard protein BSA could be trapped into the AutoProteome chip and processed within 2 h. Fully automated processing of 10 μg of protein extracts of HEK 293T cells achieved more than 97% of digestion efficiency with missed cleavage less than 2 and comparable performance with conventional approaches. More than 4700 proteins could be readily identified within 80 min of LC-MS analysis with good label-free quantification performance (Pearson correlation coefficient >0.99). Furthermore, deep proteome profiling by integrated high-pH RP fractionation in the same AutoProteome Chip resulted in more than 7500 proteins being identified from only 20 μg of protein extracts of HEK 293T cells and comparable reprodicibility as single-shot analysis. The AutoProteome Chip system provided a valuable prototype for developing a fully automated proteome analysis workflow and for proteomic applications with high demand for processing throughput, reproducibility, and sensitivity.

Details

ISSN :
15206882
Volume :
92
Issue :
13
Database :
OpenAIRE
Journal :
Analytical chemistry
Accession number :
edsair.doi.dedup.....d9b401da7b4e0efc0b089a4519e44b28