Literature DB >> 27862927

A robotic protocol for high-throughput processing of samples for selected reaction monitoring assays.

Min Zhu1, Pingbo Zhang2, Minghui Geng-Spyropoulos2, Ruin Moaddel1, Richard D Semba2, Luigi Ferrucci1.   

Abstract

Selected reaction monitoring mass spectrometry (SRM-MS) is a sensitive and accurate method for the quantification of targeted proteins in biological specimens. However, the sample throughput and reliability of this technique is limited by the complexity of sample preparation, as well as instrumentation and data processing. Modern robotic equipment allows for rapid and accurate processing of large number of samples and makes SRM-MS assay applicable in epidemiological studies. Herein, we describe an automated sample processing platform developed in the context of an SRM-MS protocol for the assay of complement factor H protein and its variants in human plasma. We report detailed performance data on plasma digestion, sample cleanup and optimized robotic handling implemented on a Biomek® NXp Workstation. Method validation was assessed with isotopically labeled peptide standards and had high reproducibility of intra-day assay (CVs from 2.7 to 17.5% with median CV of 5.3%) and inter-day assay (CVs from 4.8 to 17.6 with median CV of 7.2%) for all peptides.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Absolute quantification; Automated sample preparation; Heavy isotope-labeled peptides; Reproducibility; SRM; Technology

Mesh:

Year:  2016        PMID: 27862927      PMCID: PMC5534325          DOI: 10.1002/pmic.201600339

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  12 in total

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  4 in total

1.  A targeted proteomic assay for the measurement of plasma proteoforms related to human aging phenotypes.

Authors:  Richard D Semba; Pingbo Zhang; Min Zhu; Elisa Fabbri; Marta Gonzalez-Freire; Ruin Moaddel; Minghui Geng-Spyropoulos; Luigi Ferrucci
Journal:  Proteomics       Date:  2017-08       Impact factor: 3.984

2.  Relationship of Circulating Growth and Differentiation Factors 8 and 11 and Their Antagonists as Measured Using Liquid Chromatography-Tandem Mass Spectrometry With Age and Skeletal Muscle Strength in Healthy Adults.

Authors:  Richard D Semba; Pingbo Zhang; Min Zhu; Elisa Fabbri; Marta Gonzalez-Freire; Olga D Carlson; Ruin Moaddel; Toshiko Tanaka; Josephine M Egan; Luigi Ferrucci
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Journal:  Diabetes       Date:  2021-10-14       Impact factor: 9.461

4.  Standardized high-throughput biomonitoring using DNA metabarcoding: Strategies for the adoption of automated liquid handlers.

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  4 in total

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