Literature DB >> 32391810

A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation.

Qin Fu1, Casey W Johnson1, Bhagya K Wijayawardena2, Michael P Kowalski2, Miranda Kheradmand2, Jennifer E Van Eyk3.   

Abstract

Sample preparation for mass spectrometry analysis in proteomics requires enzymatic cleavage of proteins into a peptide mixture. This process involves numerous incubation and liquid transfer steps in order to achieve denaturation, reduction, alkylation, and cleavage. Adapting this workflow onto an automated workstation can increase efficiency and reduce coefficients of variance, thereby providing more reliable data for statistical comparisons between sample types. We previously described an automated proteomic sample preparation workflow1. Here, we report the development of a more efficient and better controlled workflow with the following advantages: 1) The number of liquid transfer steps is reduced from nine to six by combining reagents; 2) Pipetting time is reduced by selective tip pipetting using a 96-position pipetting head with multiple channels; 3) Potential throughput is increased by the availability of up to 45 deck positions; 4) Complete enclosure of the system provides improved temperature and environmental control and reduces the potential for contamination of samples or reagents; and 5) The addition of stable isotope labeled peptides, as well as β-galactosidase protein, to each sample makes monitoring and quality control possible throughout the entire process. These hardware and process improvements provide good reproducibility and improve intra-assay and inter-assay precision (CV of less than 20%) for LC-MS based protein and peptide quantification. The entire workflow for digesting 96 samples in a 96-well plate can be completed in approximately 5 hours.

Entities:  

Year:  2020        PMID: 32391810     DOI: 10.3791/59842

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  5 in total

1.  The autoimmune signature of hyperinflammatory multisystem inflammatory syndrome in children.

Authors:  Rebecca A Porritt; Aleksandra Binek; Lisa Paschold; Magali Noval Rivas; Angela McArdle; Lael M Yonker; Galit Alter; Harsha K Chandnani; Merrick Lopez; Alessio Fasano; Jennifer E Van Eyk; Mascha Binder; Moshe Arditi
Journal:  J Clin Invest       Date:  2021-10-15       Impact factor: 14.808

Review 2.  Advances and Utility of the Human Plasma Proteome.

Authors:  Eric W Deutsch; Gilbert S Omenn; Zhi Sun; Michal Maes; Maria Pernemalm; Krishnan K Palaniappan; Natasha Letunica; Yves Vandenbrouck; Virginie Brun; Sheng-Ce Tao; Xiaobo Yu; Philipp E Geyer; Vera Ignjatovic; Robert L Moritz; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2021-10-21       Impact factor: 5.370

3.  Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Young-Ki Paik; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Susan Weintraub; Michael H A Roehrl; Siqi Liu; Nuno Bandeira; Sudhir Srivastava; Yu-Ju Chen; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2021-10-20       Impact factor: 5.370

Review 4.  Novel Strategies to Address the Challenges in Top-Down Proteomics.

Authors:  Jake A Melby; David S Roberts; Eli J Larson; Kyle A Brown; Elizabeth F Bayne; Song Jin; Ying Ge
Journal:  J Am Soc Mass Spectrom       Date:  2021-05-13       Impact factor: 3.109

5.  Modular automated bottom-up proteomic sample preparation for high-throughput applications.

Authors:  Yan Chen; Nurgul Kaplan Lease; Jennifer W Gin; Tadeusz L Ogorzalek; Paul D Adams; Nathan J Hillson; Christopher J Petzold
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

  5 in total

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