Literature DB >> 19860827

Antibody-based proteomics: analysis of signaling networks using reverse protein arrays.

Hans Voshol1, Markus Ehrat, Jens Traenkle, Eric Bertrand, Jan van Oostrum.   

Abstract

Protein kinases drive the cellular signal transduction networks that underlie the regulation of growth, survival and differentiation. To repair the deregulations of signaling cascades that are associated with numerous disease states, therapeutic strategies, based on controlling aberrant protein kinase activity, are emerging. To develop such therapies it is crucial to have knowledge of the full complexity of signaling networks at a molecular level in order to understand the information flow through signaling cascades and their cell and tissue specificity. Antibody-based proteomic approaches (such as reverse-phase protein microarrays) are a powerful tool for using to obtain those signaling maps, through the study of phosphorylation states of pathway components using antibodies that specifically recognize the phosphorylated form of kinase substrates.

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Year:  2009        PMID: 19860827     DOI: 10.1111/j.1742-4658.2009.07395.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  21 in total

Review 1.  Reverse phase protein microarrays advance to use in clinical trials.

Authors:  Claudius Mueller; Lance A Liotta; Virginia Espina
Journal:  Mol Oncol       Date:  2010-10-16       Impact factor: 6.603

2.  Monitoring protein expression in whole-cell extracts by targeted label- and standard-free LC-MS/MS.

Authors:  Katharina Bluemlein; Markus Ralser
Journal:  Nat Protoc       Date:  2011-05-26       Impact factor: 13.491

3.  Progress in mining the human proteome for disease applications.

Authors:  Sam Hanash
Journal:  OMICS       Date:  2011-03

4.  Evaluation of Protein Profiles From Treated Xenograft Tumor Models Identifies an Antibody Panel for Formalin-fixed and Paraffin-embedded (FFPE) Tissue Analysis by Reverse Phase Protein Arrays (RPPA).

Authors:  Sabine Bader; Magdalena Zajac; Thomas Friess; Elisabeth Ruge; Natascha Rieder; Berthold Gierke; Yvonne Heubach; Marlene Thomas; Michael Pawlak
Journal:  Mol Cell Proteomics       Date:  2015-06-23       Impact factor: 5.911

Review 5.  Overview: the maturing of proteomics in cardiovascular research.

Authors:  Jennifer E Van Eyk
Journal:  Circ Res       Date:  2011-02-18       Impact factor: 17.367

6.  Realizing the promise of reverse phase protein arrays for clinical, translational, and basic research: a workshop report: the RPPA (Reverse Phase Protein Array) society.

Authors:  Rehan Akbani; Karl-Friedrich Becker; Neil Carragher; Ted Goldstein; Leanne de Koning; Ulrike Korf; Lance Liotta; Gordon B Mills; Satoshi S Nishizuka; Michael Pawlak; Emanuel F Petricoin; Harvey B Pollard; Bryan Serrels; Jingchun Zhu
Journal:  Mol Cell Proteomics       Date:  2014-04-28       Impact factor: 5.911

7.  Elevated pressure improves the extraction and identification of proteins recovered from formalin-fixed, paraffin-embedded tissue surrogates.

Authors:  Carol B Fowler; Ingrid E Chesnick; Cedric D Moore; Timothy J O'Leary; Jeffrey T Mason
Journal:  PLoS One       Date:  2010-12-08       Impact factor: 3.240

Review 8.  Evanescent wave fluorescence biosensors: Advances of the last decade.

Authors:  Chris Rowe Taitt; George P Anderson; Frances S Ligler
Journal:  Biosens Bioelectron       Date:  2015-07-20       Impact factor: 10.618

Review 9.  Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.

Authors:  Anna Louise Swan; Ali Mobasheri; David Allaway; Susan Liddell; Jaume Bacardit
Journal:  OMICS       Date:  2013-10-12

10.  Diversity of matriptase expression level and function in breast cancer.

Authors:  Arkadiusz Welman; Duncan Sproul; Peter Mullen; Morwenna Muir; Andrew R Kinnaird; David J Harrison; Dana Faratian; Valerie G Brunton; Margaret C Frame
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

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