Literature DB >> 19211777

Monitoring protein kinase activity in cell lysates using a high-density peptide microarray.

Xiaoming Han1, Go Yamanouchi, Takeshi Mori, Jeong-Hun Kang, Takuro Niidome, Yoshiki Katayama.   

Abstract

Monitoring and targeting protein kinases is widely accepted as a promising approach for disease diagnosis and drug discovery. For this purpose, the authors have developed an original type of peptide array as a high-throughput screening assay for quantitatively evaluating kinase activity. A volume of 2 nL of peptide solution was spotted onto a formyl group-modified glass slide by using an arrayer, which was designed for use with protein chip technology. The phosphorylation was recognized by fluorescence-label antibody and detected with an automatic microarray scanner widely used in DNA chip technology. The system needs low sample volume, provides a high-density peptide array, and supplies high reproducibility. It provided enough sensitivity for inhibitor screening, even though a relatively low concentration of purified kinase was employed. The assay also proved useful for the detection of intracellular kinase activity as well as for the measurement of the fluctuations of intracellular protein kinase activity with drug stimulation. Thus, this peptide array would be applicable for kinase-targeted diagnosis, cell-based drug screening, and signal pathway investigation.

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Year:  2009        PMID: 19211777     DOI: 10.1177/1087057108329348

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  4 in total

1.  Metabolism of peptide reporters in cell lysates and single cells.

Authors:  Angela Proctor; Qunzhao Wang; David S Lawrence; Nancy L Allbritton
Journal:  Analyst       Date:  2012-02-07       Impact factor: 4.616

Review 2.  Peptide reporters of kinase activity in whole cell lysates.

Authors:  Ding Wu; Juliesta E Sylvester; Laurie L Parker; Guangchang Zhou; Stephen J Kron
Journal:  Biopolymers       Date:  2010       Impact factor: 2.505

3.  Robust microarray production of freshly expressed proteins in a human milieu.

Authors:  Fernanda Festa; Sean M Rollins; Krishna Vattem; Margarita Hathaway; Phillip Lorenz; Eliseo A Mendoza; Xiaobo Yu; Ji Qiu; Greg Kilmer; Penny Jensen; Brian Webb; Ed T Ryan; Joshua LaBaer
Journal:  Proteomics Clin Appl       Date:  2013-05-17       Impact factor: 3.494

4.  NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide data.

Authors:  Massimo Andreatta; Claus Schafer-Nielsen; Ole Lund; Søren Buus; Morten Nielsen
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

  4 in total

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