Literature DB >> 26772726

High precision quantification of human plasma proteins using the automated SISCAPA Immuno-MS workflow.

Morteza Razavi1, N Leigh Anderson2, Matthew E Pope2, Richard Yip2, Terry W Pearson3.   

Abstract

Efficient robotic workflows for trypsin digestion of human plasma and subsequent antibody-mediated peptide enrichment (the SISCAPA method) were developed with the goal of improving assay precision and throughput for multiplexed protein biomarker quantification. First, an 'addition only' tryptic digestion protocol was simplified from classical methods, eliminating the need for sample cleanup, while improving reproducibility, scalability and cost. Second, methods were developed to allow multiplexed enrichment and quantification of peptide surrogates of protein biomarkers representing a very broad range of concentrations and widely different molecular masses in human plasma. The total workflow coefficients of variation (including the 3 sequential steps of digestion, SISCAPA peptide enrichment and mass spectrometric analysis) for 5 proteotypic peptides measured in 6 replicates of each of 6 different samples repeated over 6 days averaged 3.4% within-run and 4.3% across all runs. An experiment to identify sources of variation in the workflow demonstrated that MRM measurement and tryptic digestion steps each had average CVs of ∼2.7%. Because of the high purity of the peptide analytes enriched by antibody capture, the liquid chromatography step is minimized and in some cases eliminated altogether, enabling throughput levels consistent with requirements of large biomarker and clinical studies.
Copyright © 2016 Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 26772726     DOI: 10.1016/j.nbt.2015.12.008

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  14 in total

1.  Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.

Authors:  Bhagwat Prasad; Brahim Achour; Per Artursson; Cornelis E C A Hop; Yurong Lai; Philip C Smith; Jill Barber; Jacek R Wisniewski; Daniel Spellman; Yasuo Uchida; Michael A Zientek; Jashvant D Unadkat; Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2019-07-26       Impact factor: 6.875

2.  A Strong Neutrophil Elastase Proteolytic Fingerprint Marks the Carcinoma Tumor Proteome.

Authors:  Michał Kistowski; Janusz Dębski; Jakub Karczmarski; Agnieszka Paziewska; Jacek Olędzki; Michał Mikula; Jerzy Ostrowski; Michał Dadlez
Journal:  Mol Cell Proteomics       Date:  2016-12-07       Impact factor: 5.911

3.  Development of a Multiplexed Assay for Oral Cancer Candidate Biomarkers Using Peptide Immunoaffinity Enrichment and Targeted Mass Spectrometry.

Authors:  Yung-Chin Hsiao; Lang-Ming Chi; Kun-Yi Chien; Wei-Fan Chiang; Szu-Fan Chen; Yao-Ning Chuang; Shih-Yu Lin; Chia-Chun Wu; Ya-Ting Chang; Lichieh Julie Chu; Yi-Ting Chen; Shu-Li Chia; Chih-Yen Chien; Kai-Ping Chang; Yu-Sun Chang; Jau-Song Yu
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

4.  Peptide and Protein Quantification Using Automated Immuno-MALDI (iMALDI).

Authors:  Huiyan Li; Robert Popp; Bjorn Frohlich; Michael X Chen; Christoph H Borchers
Journal:  J Vis Exp       Date:  2017-08-18       Impact factor: 1.355

5.  Ultrasensitive Quantification of Drug-metabolizing Enzymes and Transporters in Small Sample Volume by Microflow LC-MS/MS.

Authors:  Deepak Suresh Ahire; Abdul Basit; Matthew Karasu; Bhagwat Prasad
Journal:  J Pharm Sci       Date:  2021-03-28       Impact factor: 3.784

Review 6.  Revisiting biomarker discovery by plasma proteomics.

Authors:  Philipp E Geyer; Lesca M Holdt; Daniel Teupser; Matthias Mann
Journal:  Mol Syst Biol       Date:  2017-09-26       Impact factor: 11.429

7.  Precision multiparameter tracking of inflammation on timescales of hours to years using serial dried blood spots.

Authors:  Leigh Anderson; Morteza Razavi; Matthew E Pope; Richard Yip; L C Cameron; Adriana Bassini-Cameron; Terry W Pearson
Journal:  Bioanalysis       Date:  2020-04-07       Impact factor: 2.681

8.  Affinity-Bead Assisted Mass Spectrometry (Affi-BAMS): A Multiplexed Microarray Platform for Targeted Proteomics.

Authors:  Ghaith M Hamza; Vladislav B Bergo; Sergey Mamaev; Don M Wojchowski; Paul Toran; Camilla R Worsfold; M Paola Castaldi; Jeffrey C Silva
Journal:  Int J Mol Sci       Date:  2020-03-16       Impact factor: 5.923

9.  Development of a novel method for the quantification of tyrosine 39 phosphorylated α- and β-synuclein in human cerebrospinal fluid.

Authors:  Chan Hyun Na; Gajanan Sathe; Liana S Rosenthal; Abhay R Moghekar; Valina L Dawson; Ted M Dawson; Akhilesh Pandey
Journal:  Clin Proteomics       Date:  2020-05-04       Impact factor: 3.988

10.  Cov-MS: A Community-Based Template Assay for Mass-Spectrometry-Based Protein Detection in SARS-CoV-2 Patients.

Authors:  Bart Van Puyvelde; Katleen Van Uytfanghe; Olivier Tytgat; Laurence Van Oudenhove; Ralf Gabriels; Robbin Bouwmeester; Simon Daled; Tim Van Den Bossche; Pathmanaban Ramasamy; Sigrid Verhelst; Laura De Clerck; Laura Corveleyn; Sander Willems; Nathan Debunne; Evelien Wynendaele; Bart De Spiegeleer; Peter Judak; Kris Roels; Laurie De Wilde; Peter Van Eenoo; Tim Reyns; Marc Cherlet; Emmie Dumont; Griet Debyser; Ruben t'Kindt; Koen Sandra; Surya Gupta; Nicolas Drouin; Amy Harms; Thomas Hankemeier; Donald J L Jones; Pankaj Gupta; Dan Lane; Catherine S Lane; Said El Ouadi; Jean-Baptiste Vincendet; Nick Morrice; Stuart Oehrle; Nikunj Tanna; Steve Silvester; Sally Hannam; Florian C Sigloch; Andrea Bhangu-Uhlmann; Jan Claereboudt; N Leigh Anderson; Morteza Razavi; Sven Degroeve; Lize Cuypers; Christophe Stove; Katrien Lagrou; Geert A Martens; Dieter Deforce; Lennart Martens; Johannes P C Vissers; Maarten Dhaenens
Journal:  JACS Au       Date:  2021-05-03
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