On-Chip Sample Preparation Using a ChipFilter Coupled to NanoLC-MS/MS for Bottom-Up Proteomics.

Autor: Ndiaye MM; Biological Mass Spectrometry and Proteomics (SMBP), ESPCI Paris, Université PSL, CNRS, 75005 Paris, France., Ta HP; Biological Mass Spectrometry and Proteomics (SMBP), ESPCI Paris, Université PSL, CNRS, 75005 Paris, France., Chiappetta G; Biological Mass Spectrometry and Proteomics (SMBP), ESPCI Paris, Université PSL, CNRS, 75005 Paris, France., Vinh J; Biological Mass Spectrometry and Proteomics (SMBP), ESPCI Paris, Université PSL, CNRS, 75005 Paris, France.
Jazyk: angličtina
Zdroj: Journal of proteome research [J Proteome Res] 2020 Jul 02; Vol. 19 (7), pp. 2654-2663. Date of Electronic Publication: 2020 May 08.
DOI: 10.1021/acs.jproteome.9b00832
Abstrakt: Sample preparation is a crucial step in bottom-up proteomics. Analytical performances of bottom-up proteomics can be improved by the miniaturization of sample preparation. Many microfluidic devices have been designed in the field of proteomics, but many of them are not capable of handling complex samples and do not integrate the processing and digestion steps. We propose a ChipFilter Proteolysis (CFP) microfluidic device as a proteomics reactor for the miniaturization of protein sample processing and digestion steps, whose design is closely related to the experimental setup of filter-aided sample processing, even if no denaturing surfactant is required. The microchip has two reaction chambers of 0.6 μL volume separated by a protein filtration membrane in regenerated cellulose (10kD cutoff) that will concentrate or retain large polypeptides and will release small molecules. Cell lysis, protein concentration, and rapid chemical or enzymatic treatment can be performed in the ChipFilter. Complex proteomic samples like yeast protein extract or whole human cells proteome have been successfully analyzed with our microchip. Compared with the membrane-based commercial ultracentrifugation cartridge, our microfluidic device offered a better proteome coverage with 10 times less starting material and 8 times faster protocol duration.
Databáze: MEDLINE