Literature DB >> 12832460

A high-throughput quantitative multiplex kinase assay for monitoring information flow in signaling networks: application to sepsis-apoptosis.

Kevin A Janes1, John G Albeck, Lili X Peng, Peter K Sorger, Douglas A Lauffenburger, Michael B Yaffe.   

Abstract

To treat complex human diseases effectively, a systems-level approach is needed to understand the interplay of environmental cues, intracellular signals, and cellular behaviors that underlie disease states. This approach requires high-throughput, multiplex techniques that measure quantitative temporal variations of multiple protein activities in the intracellular signaling network. Here, we describe a single microtiter-based format that simultaneously quantifies protein kinase activities in the phosphatidylinositol 3-kinase pathway (Akt), nuclear factor-kappaB pathway (IKK), and three core mitogen-activated protein kinase pathways (ERK, JNK1, MK2). These parallel high-throughput assays are stringently linear, redundantly specific, reproducible, and sensitive compared with classical low-throughput techniques. When applied to a model of sepsis-induced colon epithelial apoptosis, this approach identified a late phase of Akt activity as a critical mediator of cell survival that quantitatively contributed to the efficacy of insulin as an anti-apoptotic cue. Thus, sampling parallel nodes in the intracellular signaling network identified part of the molecular mechanism underlying the efficacy of insulin in the treatment of human sepsis.

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Year:  2003        PMID: 12832460     DOI: 10.1074/mcp.M300045-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  36 in total

Review 1.  Toward predictive models of mammalian cells.

Authors:  Avi Ma'ayan; Robert D Blitzer; Ravi Iyengar
Journal:  Annu Rev Biophys Biomol Struct       Date:  2005

2.  Quantitative analysis of Akt phosphorylation and activity in response to EGF and insulin treatment.

Authors:  Neil Kumar; Raffi Afeyan; Sarah Sheppard; Brian Harms; Douglas A Lauffenburger
Journal:  Biochem Biophys Res Commun       Date:  2007-01-02       Impact factor: 3.575

3.  Increase of reaction rate and sensitivity of low-abundance enzyme assay using micro/nanofluidic preconcentration chip.

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Journal:  Anal Chem       Date:  2008-03-22       Impact factor: 6.986

4.  Peptide-mediated activation of Akt and extracellular regulated kinase signaling prevents lymphocyte apoptosis.

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Journal:  FASEB J       Date:  2007-09-13       Impact factor: 5.191

5.  A site-specific, multiplexed kinase activity assay using stable-isotope dilution and high-resolution mass spectrometry.

Authors:  Yonghao Yu; Rana Anjum; Kazuishi Kubota; John Rush; Judit Villen; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-29       Impact factor: 11.205

6.  Modeling the latent dimensions of multivariate signaling datasets.

Authors:  Karin J Jensen; Kevin A Janes
Journal:  Phys Biol       Date:  2012-08-07       Impact factor: 2.583

7.  Cytokine-induced signaling networks prioritize dynamic range over signal strength.

Authors:  Kevin A Janes; H Christian Reinhardt; Michael B Yaffe
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

8.  Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.

Authors:  Alexander Mitsos; Ioannis N Melas; Paraskeuas Siminelakis; Aikaterini D Chairakaki; Julio Saez-Rodriguez; Leonidas G Alexopoulos
Journal:  PLoS Comput Biol       Date:  2009-12-04       Impact factor: 4.475

9.  A mitotic phosphorylation feedback network connects Cdk1, Plk1, 53BP1, and Chk2 to inactivate the G(2)/M DNA damage checkpoint.

Authors:  Marcel A T M van Vugt; Alexandra K Gardino; Rune Linding; Gerard J Ostheimer; H Christian Reinhardt; Shao-En Ong; Chris S Tan; Hua Miao; Susan M Keezer; Jeijin Li; Tony Pawson; Timothy A Lewis; Steven A Carr; Stephen J Smerdon; Thijn R Brummelkamp; Michael B Yaffe
Journal:  PLoS Biol       Date:  2010-01-26       Impact factor: 8.029

10.  The crosstalk between EGF, IGF, and Insulin cell signaling pathways--computational and experimental analysis.

Authors:  Rafal Zielinski; Pawel F Przytycki; Jie Zheng; David Zhang; Teresa M Przytycka; Jacek Capala
Journal:  BMC Syst Biol       Date:  2009-09-04
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