Literature DB >> 32484334

Ultrasonic-Based Filter Aided Sample Preparation as the General Method to Sample Preparation in Proteomics.

Luís B Carvalho1,2, José-Luis Capelo-Martínez1,2, Carlos Lodeiro1,2, Jacek R Wiśniewski3, Hugo M Santos1,2,4.   

Abstract

We propose a new high-throughput ultrafast method for large-scale proteomics approaches by speeding up the classic filter aided sample preparation protocol, FASP, from overnight to 2.5 h. Thirty-six samples can be treated in 2.5 h, and the method is scalable to 96-well plate-based pipelines. After a modification of the FASP-tube, the steps of protein reduction, protein alkylation, and protein digestion of complex proteomes are done in just 5.25 min, each one under the effects of an ultrasonic field (7 cycles: 30 s on and 15 s off). The new method was compared to the standard overnight digestion FASP protocol, and no statistical differences were found for more than 92.4%, 92%, and 93.3% of the proteins identified by studying the proteome of E. coli, mouse brain, and mouse liver tissue samples, respectively. Furthermore, the successful relative label-free quantification of four spiked proteins in E. coli samples, BSA, β-lactoglobulin, α-casein, and α-lactalbumin, was achieved, using either the ultrasonic-based FASP protocol or the classic overnight one. The new US-FASP method matches the analytical minimalism rules as time, cost, sample requirement, reagent consumption, energy requirements, and production of waste products are reduced to a minimum while maintaining high sample throughput in a robust manner as all of the advantages of the filter aided sample preparation protocol are maintained.

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Year:  2020        PMID: 32484334     DOI: 10.1021/acs.analchem.0c01470

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  1 in total

1.  Toward Zero Variance in Proteomics Sample Preparation: Positive-Pressure FASP in 96-Well Format (PF96) Enables Highly Reproducible, Time- and Cost-Efficient Analysis of Sample Cohorts.

Authors:  Stefan Loroch; Dominik Kopczynski; Adriana C Schneider; Cornelia Schumbrutzki; Ingo Feldmann; Eleftherios Panagiotidis; Yvonne Reinders; Roman Sakson; Fiorella A Solari; Alicia Vening; Frauke Swieringa; Johan W M Heemskerk; Maria Grandoch; Thomas Dandekar; Albert Sickmann
Journal:  J Proteome Res       Date:  2022-03-22       Impact factor: 4.466

  1 in total

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