Literature DB >> 15152609

Evaluation of the CFP-substrate-YFP system for protease studies: advantages and limitations.

Loyse M Felber1, Sylvain M Cloutier, Christoph Kündig, Tadaaki Kishi, Vincent Brossard, Patrice Jichlinski, Hans-Jürg Leisinger, David Deperthes.   

Abstract

A protease can be defined as an enzyme capable of hydrolyzing peptide bonds. Thus, characterization of a protease involves identification of target peptide sequences, measurement of activities toward these sequences, and determination of kinetic parameters. Biological protease substrates based on fluorescent protein pairs, which allow for use of fluorescence resonance energy transfer (FRET), have been recently developed for in vivo protease activity detection and represent a very interesting alternative to chemical substrates for in vitro protease characterization. Here, we analyze a FRET system consisting of cyan and yellow fluorescent proteins (CFP and YFP, respectively), which are fused by a peptide linker serving as protease substrate. Conditions for CFP-YFP fusion protein production in Escherichia coli and purification of proteins were optimized. FRET between CFP and YFP was found to be optimum at a pH between 5.5 and 10.0, at low concentrations of salt and a temperature superior to 25 degrees C. For efficient FRET to occur, the peptide linker between CFP and YFP can measure up to 25 amino acids. The CFP-substrate-YFP system demonstrated a high degree of resistance to nonspecific proteolysis, making it suitable for enzyme kinetic analysis. As with chemical substrates, substrate specificity of CFP-substrate-YFP proteins was tested towards different proteases and kcat/Km values were calculated.

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Year:  2004        PMID: 15152609     DOI: 10.2144/04365PT04

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  17 in total

1.  Induced heterodimerization and purification of two target proteins by a synthetic coiled-coil tag.

Authors:  Jesus Fernandez-Rodriguez; Thomas C Marlovits
Journal:  Protein Sci       Date:  2012-02-23       Impact factor: 6.725

2.  Protease specificity determination by using cellular libraries of peptide substrates (CLiPS).

Authors:  Kevin T Boulware; Patrick S Daugherty
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-03       Impact factor: 11.205

3.  Fluorescence lifetime imaging microscopy (FLIM) to quantify protein-protein interactions inside cells.

Authors:  R R Duncan
Journal:  Biochem Soc Trans       Date:  2006-11       Impact factor: 5.407

Review 4.  Using specificity to strategically target proteases.

Authors:  Mark D Lim; Charles S Craik
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5.  Hypoxia-induced acidosis uncouples the STIM-Orai calcium signaling complex.

Authors:  Salvatore Mancarella; Youjun Wang; Xiaoxiang Deng; Gavin Landesberg; Rosario Scalia; Reynold A Panettieri; Karthik Mallilankaraman; Xiang D Tang; Muniswamy Madesh; Donald L Gill
Journal:  J Biol Chem       Date:  2011-11-14       Impact factor: 5.157

6.  Evolution of cyclic peptide protease inhibitors.

Authors:  Travis S Young; Douglas D Young; Insha Ahmad; John M Louis; Stephen J Benkovic; Peter G Schultz
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

7.  Designing protease sensors for real-time imaging of trypsin activation in pancreatic cancer cells.

Authors:  Ning Chen; Jin Zou; Siming Wang; Yiming Ye; Yun Huang; Giovanni Gadda; Jenny J Yang
Journal:  Biochemistry       Date:  2009-04-21       Impact factor: 3.162

8.  Seneca Valley Virus 3Cpro Substrate Optimization Yields Efficient Substrates for Use in Peptide-Prodrug Therapy.

Authors:  Linde A Miles; W Nathaniel Brennen; Charles M Rudin; John T Poirier
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

9.  The high and low molecular weight forms of hyaluronan have distinct effects on CD44 clustering.

Authors:  Cuixia Yang; Manlin Cao; Hua Liu; Yiqing He; Jing Xu; Yan Du; Yiwen Liu; Wenjuan Wang; Lian Cui; Jiajie Hu; Feng Gao
Journal:  J Biol Chem       Date:  2012-11-01       Impact factor: 5.157

Review 10.  Design and development of genetically encoded fluorescent sensors to monitor intracellular chemical and physical parameters.

Authors:  Arno Germond; Hideaki Fujita; Taro Ichimura; Tomonobu M Watanabe
Journal:  Biophys Rev       Date:  2016-04-29
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