Literature DB >> 20498894

High speed digital protein interaction analysis using microfluidic single molecule detection system.

Chao-Kai Chou1, Nan Jing, Hirohito Yamaguchi, Pei-Hsiang Tsou, Heng-Huan Lee, Chun-Te Chen, Ying-Nai Wang, Sungmin Hong, Chin Su, Jun Kameoka, Mien-Chie Hung.   

Abstract

The understanding of protein interaction dynamics is important for signal transduction research but current available techniques prove difficult in addressing this issue. Thus, using the microfluidic approach, we developed a digital protein analytical platform and methodology named MAPS (Microfluidic system Analyzing Protein in Single complex) that can measure the amount of target proteins and protein complexes at the digitally single molecule resolution. By counting protein events individually, this system can provide rough protein interaction ratios which will be critical for understanding signal transduction dynamics. In addition, this system only requires less than an hour to characterize the target protein sample, which is much quicker than conventional approaches. As a proof of concept, we have determined the interaction ratios of oncogenic signaling protein complexes EGFR/Src and EGFR/STAT3 before and after EGF ligand stimulation. To the best of our knowledge, this is the first time that the interaction ratio between EGFR and its downstream proteins has been characterized. The information from MAPS will be critical for the study of protein signal transduction quantitation and dynamics.

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Year:  2010        PMID: 20498894      PMCID: PMC2919816          DOI: 10.1039/c002937h

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  20 in total

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Review 3.  Application of mass spectrometry technologies for the discovery of low-molecular weight modulators of enzymes and protein-protein interactions.

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Review 6.  EGFR and cancer prognosis.

Authors:  R I Nicholson; J M Gee; M E Harper
Journal:  Eur J Cancer       Date:  2001-09       Impact factor: 9.162

Review 7.  Somatic mutations of the epidermal growth factor receptor and non-small-cell lung cancer.

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Review 8.  Role of STATs as downstream signal transducers in Src family kinase-mediated tumorigenesis.

Authors:  Corinne M Silva
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Review 9.  Mutations and response to epidermal growth factor receptor inhibitors.

Authors:  Pierre Laurent-Puig; Astrid Lievre; Hélène Blons
Journal:  Clin Cancer Res       Date:  2009-02-15       Impact factor: 12.531

10.  Clinical course of patients with non-small cell lung cancer and epidermal growth factor receptor exon 19 and exon 21 mutations treated with gefitinib or erlotinib.

Authors:  Gregory J Riely; William Pao; Duykhanh Pham; Allan R Li; Naiyer Rizvi; Ennapadam S Venkatraman; Maureen F Zakowski; Mark G Kris; Marc Ladanyi; Vincent A Miller
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  4 in total

1.  Microfluidic three-dimensional hydrodynamic flow focusing for the rapid protein concentration analysis.

Authors:  Sungmin Hong; Pei-Hsiang Tsou; Chao-Kai Chou; Hirohito Yamaguchi; Chin B Su; Mien-Chie Hung; Jun Kameoka
Journal:  Biomicrofluidics       Date:  2012-06-20       Impact factor: 2.800

Review 2.  Micro total analysis systems for cell biology and biochemical assays.

Authors:  Michelle L Kovarik; Philip C Gach; Douglas M Ornoff; Yuli Wang; Joseph Balowski; Lila Farrag; Nancy L Allbritton
Journal:  Anal Chem       Date:  2011-10-21       Impact factor: 6.986

3.  Analysis of Individual Signaling Complexes by mMAPS, a Flow-Proteometric System.

Authors:  Chao-Kai Chou; Pei-Hsiang Tsou; Jennifer L Hsu; Heng-Huan Lee; Ying-Nai Wang; Jun Kameoka; Mien-Chie Hung
Journal:  Curr Protoc Mol Biol       Date:  2016-04-01

4.  mMAPS: a flow-proteometric technique to analyze protein-protein interactions in individual signaling complexes.

Authors:  Chao-Kai Chou; Heng-Huan Lee; Pei-Hsiang Tsou; Chun-Te Chen; Jung-Mao Hsu; Hirohito Yamaguchi; Ying-Nai Wang; Hong-Jen Lee; Jennifer L Hsu; Jin-Fong Lee; Jun Kameoka; Mien-Chie Hung
Journal:  Sci Signal       Date:  2014-03-04       Impact factor: 8.192

  4 in total

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