Literature DB >> 12795412

A functional proteomics approach to signal transduction.

Paul R Graves1, Timothy A J Haystead.   

Abstract

The purpose of this review is to highlight how proteomics techniques can be used to answer specific questions related to signal transduction in a wide variety of systems. In our laboratory, we utilize proteomic technologies to elucidate signal transduction pathways involved in smooth muscle contraction and relaxation, cell growth and tumorigenesis, and the pathogenesis of malaria. We see the real application of this technology as a tool to enhance the power of existing approaches such as classical yeast and mouse genetics, tissue culture, protein expression systems, and site-directed mutagenesis. Our basic approach is to examine only those proteins that differ by some variable from the control sample. In this way, the number of proteins to be processed by electrophoresis, Edman degradation, or mass spectrometry is greatly reduced. In addition, since only those proteins that change in response to a given biological treatment are analyzed, the experimental outcome provides information about specific signaling pathways. Examples of typical experiments in our laboratory are measurement of changes in protein phosphorylation in response to treatment of cells with growth factors or specific drugs, characterization of proteins associated with a bait protein in a "pull-down" experiment, or measurement of changes in protein expression. Frequently, in these experiments, it is necessary to define complex protein mixtures. To achieve this goal, we utilize a variety of techniques to isolate specific types of proteins or "subproteomes" for further analysis. In this review, we discuss strategies used in our laboratory for studying signaling pathways, including subproteome isolation, proteome mining, and analysis of the phosphoproteome.

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Year:  2003        PMID: 12795412     DOI: 10.1210/rp.58.1.1

Source DB:  PubMed          Journal:  Recent Prog Horm Res        ISSN: 0079-9963


  10 in total

Review 1.  Proteomics for protein expression profiling in neuroscience.

Authors:  Willard M Freeman; Scott E Hemby
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

Review 2.  Quantitative functional analysis of protein complexes on surfaces.

Authors:  Hye Jin Lee; Yuling Yan; Gerard Marriott; Robert M Corn
Journal:  J Physiol       Date:  2004-12-21       Impact factor: 5.182

3.  Role of SM22 in the differential regulation of phasic vs. tonic smooth muscle.

Authors:  Satish Rattan; Mehboob Ali
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2015-01-23       Impact factor: 4.052

Review 4.  Clinical implications from proteomic studies in neurodegenerative diseases: lessons from mitochondrial proteins.

Authors:  D Allan Butterfield; Erika M Palmieri; Alessandra Castegna
Journal:  Expert Rev Proteomics       Date:  2016       Impact factor: 3.940

Review 5.  Studying protein-protein affinity and immobilized ligand-protein affinity interactions using MS-based methods.

Authors:  Jeroen Kool; Niels Jonker; Hubertus Irth; Wilfried M A Niessen
Journal:  Anal Bioanal Chem       Date:  2011-07-14       Impact factor: 4.142

6.  The mitogen-activated protein kinome from Anopheles gambiae: identification, phylogeny and functional characterization of the ERK, JNK and p38 MAP kinases.

Authors:  Ashley A Horton; Bo Wang; Lauren Camp; Mark S Price; Arora Arshi; Mate Nagy; Steven A Nadler; James R Faeder; Shirley Luckhart
Journal:  BMC Genomics       Date:  2011-11-23       Impact factor: 3.969

Review 7.  Comparative mitochondrial proteomics: perspective in human diseases.

Authors:  Yujie Jiang; Xin Wang
Journal:  J Hematol Oncol       Date:  2012-03-18       Impact factor: 17.388

8.  Two-dimensional gel proteome reference map of blood monocytes.

Authors:  Ming Jin; Philip T Diaz; Tran Bourgeois; Charis Eng; Clay B Marsh; Haifeng M Wu
Journal:  Proteome Sci       Date:  2006-09-01       Impact factor: 2.480

9.  An ELISA-based procedure for assaying proteins in digests of human leukocytes and cell lines, using specifically selected peptides and appropriate antibodies.

Authors:  Ori Braitbard; Janette Bishara-Shieban; Hava Glickstein; Miriam Kott-Gutkowski; Umberto Pace; Deborah G Rund; Wilfred D Stein
Journal:  Proteome Sci       Date:  2006-06-21       Impact factor: 2.480

Review 10.  Regulation of CaMKII signaling in cardiovascular disease.

Authors:  Mariya Y Mollova; Hugo A Katus; Johannes Backs
Journal:  Front Pharmacol       Date:  2015-08-25       Impact factor: 5.810

  10 in total

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