Literature DB >> 28518113

Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT).

Christina D King1, Joseph D Dudenhoeffer1, Liqing Gu2, Adam R Evans3, Renã A S Robinson4.   

Abstract

There is an increasing demand to analyze many biological samples for disease understanding and biomarker discovery. Quantitative proteomics strategies that allow simultaneous measurement of multiple samples have become widespread and greatly reduce experimental costs and times. Our laboratory developed a technique called combined precursor isotopic labeling and isobaric tagging (cPILOT), which enhances sample multiplexing of traditional isotopic labeling or isobaric tagging approaches. Global cPILOT can be applied to samples originating from cells, tissues, bodily fluids, or whole organisms and gives information on relative protein abundances across different sample conditions. cPILOT works by 1) using low pH buffer conditions to selectively dimethylate peptide N-termini and 2) using high pH buffer conditions to label primary amines of lysine residues with commercially-available isobaric reagents (see Table of Materials/Reagents). The degree of sample multiplexing available is dependent on the number of precursor labels used and the isobaric tagging reagent. Here, we present a 12-plex analysis using light and heavy dimethylation combined with six-plex isobaric reagents to analyze 12 samples from mouse tissues in a single analysis. Enhanced multiplexing is helpful for reducing experimental time and cost and more importantly, allowing comparison across many sample conditions (biological replicates, disease stage, drug treatments, genotypes, or longitudinal time-points) with less experimental bias and error. In this work, the global cPILOT approach is used to analyze brain, heart, and liver tissues across biological replicates from an Alzheimer's disease mouse model and wild-type controls. Global cPILOT can be applied to study other biological processes and adapted to increase sample multiplexing to greater than 20 samples.

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Year:  2017        PMID: 28518113      PMCID: PMC5565145          DOI: 10.3791/55406

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


  25 in total

1.  Global combined precursor isotopic labeling and isobaric tagging (cPILOT) approach with selective MS(3) acquisition.

Authors:  Adam R Evans; Renã A S Robinson
Journal:  Proteomics       Date:  2013-10-20       Impact factor: 3.984

2.  MS(3)-based quantitative proteomics using pulsed-Q dissociation.

Authors:  Zhiyun Cao; Adam R Evans; Renã A S Robinson
Journal:  Rapid Commun Mass Spectrom       Date:  2015-06-15       Impact factor: 2.419

3.  Increasing throughput in targeted proteomics assays: 54-plex quantitation in a single mass spectrometry run.

Authors:  Robert A Everley; Ryan C Kunz; Fiona E McAllister; Steven P Gygi
Journal:  Anal Chem       Date:  2013-05-23       Impact factor: 6.986

4.  High-throughput endogenous measurement of S-nitrosylation in Alzheimer's disease using oxidized cysteine-selective cPILOT.

Authors:  Liqing Gu; Renã A S Robinson
Journal:  Analyst       Date:  2016-05-06       Impact factor: 4.616

5.  Global cPILOT analysis of the APP/PS-1 mouse liver proteome.

Authors:  Adam R Evans; Liqing Gu; Rodolfo Guerrero; Renã A S Robinson
Journal:  Proteomics Clin Appl       Date:  2015-05-12       Impact factor: 3.494

6.  Proteolytic 18O labeling for comparative proteomics: model studies with two serotypes of adenovirus.

Authors:  X Yao; A Freas; J Ramirez; P A Demirev; C Fenselau
Journal:  Anal Chem       Date:  2001-07-01       Impact factor: 6.986

7.  Proteolytic 18O labeling for comparative proteomics: evaluation of endoprotease Glu-C as the catalytic agent.

Authors:  Kristy J Reynolds; Xudong Yao; Catherine Fenselau
Journal:  J Proteome Res       Date:  2002 Jan-Feb       Impact factor: 4.466

8.  An approach for triplex-isobaric peptide termini labeling (triplex-IPTL).

Authors:  Christian J Koehler; Magnus Ø Arntzen; Gustavo Antonio de Souza; Bernd Thiede
Journal:  Anal Chem       Date:  2013-01-29       Impact factor: 6.986

9.  Neutron-encoded mass signatures for multiplexed proteome quantification.

Authors:  Alexander S Hebert; Anna E Merrill; Derek J Bailey; Amelia J Still; Michael S Westphall; Eric R Strieter; David J Pagliarini; Joshua J Coon
Journal:  Nat Methods       Date:  2013-02-24       Impact factor: 28.547

10.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

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  3 in total

Review 1.  Sample Multiplexing Strategies in Quantitative Proteomics.

Authors:  Albert B Arul; Renã A S Robinson
Journal:  Anal Chem       Date:  2018-12-18       Impact factor: 6.986

2.  HyperQuant-A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics.

Authors:  Suruchi Aggarwal; Ajay Kumar; Shilpa Jamwal; Mukul Kumar Midha; Narayan Chandra Talukdar; Amit Kumar Yadav
Journal:  ACS Omega       Date:  2020-05-07

3.  Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT).

Authors:  Albert B Arul; Renã A S Robinson
Journal:  J Vis Exp       Date:  2020-12-18       Impact factor: 1.424

  3 in total

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