Literature DB >> 19651253

A technically detailed and pragmatic protocol for quantitative serum proteomics using iTRAQ.

Sarah Tonack1, Mark Aspinall-O'Dea, Rosalind E Jenkins, Victoria Elliot, Seonaid Murray, Catherine S Lane, Neil R Kitteringham, John P Neoptolemos, Eithne Costello.   

Abstract

Blood is recognised as a highly important source of disease-related biomarkers, and proteomic approaches for identifying novel blood-borne biomarkers are in demand. The complexity and dynamic protein concentration range of plasma/serum however complicates the analysis process. A number of strategies for simplification of blood prior to proteomic analysis have been developed. In addition, methods for quantifying the levels of proteins in samples, such as isobaric tags for relative and absolute quantification (iTRAQ) are emerging. However, the successful application of these procedures is not always straightforward and technical hurdles must be overcome. Here we provide a technically detailed working protocol for iTRAQ-based quantification of serum proteins following immunodepletion of high abundance proteins. To improve the number of proteins identified and quantified we have introduced several modifications to the standard iTRAQ protocol. We report identifications of 217 proteins (5773 peptides) with a false discovery rate of 1% or 254 proteins with 95% confidence, respectively. Relative quantification data were obtained for 234 (95% confidence) serum proteins, including species present in the concentration range of tissue leakage factors. The samples described here relate to pancreatic cancer; however the protocol can be applied to serum from other control or disease types.

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Year:  2009        PMID: 19651253     DOI: 10.1016/j.jprot.2009.07.009

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  22 in total

1.  A proteomic approach for plasma biomarker discovery with 8-plex iTRAQ labeling and SCX-LC-MS/MS.

Authors:  Haige Ye; Li Sun; Xiaojun Huang; Ping Zhang; Xiaoshu Zhao
Journal:  Mol Cell Biochem       Date:  2010-06-05       Impact factor: 3.396

Review 2.  Proteomics analysis of bodily fluids in pancreatic cancer.

Authors:  Sheng Pan; Teresa A Brentnall; Ru Chen
Journal:  Proteomics       Date:  2015-04-27       Impact factor: 3.984

3.  Decreased Serum Thrombospondin-1 Levels in Pancreatic Cancer Patients Up to 24 Months Prior to Clinical Diagnosis: Association with Diabetes Mellitus.

Authors:  Claire Jenkinson; Victoria L Elliott; Anthony Evans; Lucy Oldfield; Rosalind E Jenkins; Darragh P O'Brien; Sophia Apostolidou; Aleksandra Gentry-Maharaj; Evangelia-O Fourkala; Ian J Jacobs; Usha Menon; Trevor Cox; Fiona Campbell; Stephen P Pereira; David A Tuveson; B Kevin Park; William Greenhalf; Robert Sutton; John F Timms; John P Neoptolemos; Eithne Costello
Journal:  Clin Cancer Res       Date:  2015-11-16       Impact factor: 12.531

4.  Dual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodies.

Authors:  Christoph Schröder; Anette Jacob; Sarah Tonack; Tomasz P Radon; Martin Sill; Manuela Zucknick; Sven Rüffer; Eithne Costello; John P Neoptolemos; Tatjana Crnogorac-Jurcevic; Andrea Bauer; Kurt Fellenberg; Jörg D Hoheisel
Journal:  Mol Cell Proteomics       Date:  2010-02-16       Impact factor: 5.911

5.  Quantitative proteomic analysis by iTRAQ(R) for the identification of candidate biomarkers in ovarian cancer serum.

Authors:  Kristin Lm Boylan; John D Andersen; Lorraine B Anderson; LeeAnn Higgins; Amy Pn Skubitz
Journal:  Proteome Sci       Date:  2010-06-14       Impact factor: 2.480

6.  Potentially novel candidate biomarkers for head and neck squamous cell carcinoma identified using an integrated cell line-based discovery strategy.

Authors:  Lusia Sepiashvili; Angela Hui; Vladimir Ignatchenko; Willa Shi; Susie Su; Wei Xu; Shao Hui Huang; Brian O'Sullivan; John Waldron; Jonathan C Irish; Bayardo Perez-Ordonez; Fei-Fei Liu; Thomas Kislinger
Journal:  Mol Cell Proteomics       Date:  2012-08-23       Impact factor: 5.911

7.  Proteomics in pancreatic cancer research.

Authors:  Ruihui Geng; Zhaoshen Li; Shude Li; Jun Gao
Journal:  Int J Proteomics       Date:  2011-08-14

8.  A systematic analysis of the effects of increasing degrees of serum immunodepletion in terms of depth of coverage and other key aspects in top-down and bottom-up proteomic analyses.

Authors:  Matthew P Welberry Smith; Steven L Wood; Alexandre Zougman; Jenny T C Ho; Jianhe Peng; David Jackson; David A Cairns; Andrew J P Lewington; Peter J Selby; Rosamonde E Banks
Journal:  Proteomics       Date:  2011-05-05       Impact factor: 3.984

9.  iTRAQ reveals candidate pancreatic cancer serum biomarkers: influence of obstructive jaundice on their performance.

Authors:  S Tonack; C Jenkinson; T Cox; V Elliott; R E Jenkins; N R Kitteringham; W Greenhalf; V Shaw; C W Michalski; H Friess; J P Neoptolemos; E Costello
Journal:  Br J Cancer       Date:  2013-04-11       Impact factor: 7.640

10.  The effects of a rhythm and music-based therapy program and therapeutic riding in late recovery phase following stroke: a study protocol for a three-armed randomized controlled trial.

Authors:  Lina Bunketorp Käll; Åsa Lundgren-Nilsson; Christian Blomstrand; Marcela Pekna; Milos Pekny; Michael Nilsson
Journal:  BMC Neurol       Date:  2012-11-21       Impact factor: 2.474

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