Literature DB >> 21892820

Highly adaptable and sensitive protease assay based on fluorescence resonance energy transfer.

Thomas Zauner1, Renate Berger-Hoffmann, Katrin Müller, Ralf Hoffmann, Thole Zuchner.   

Abstract

Proteases are widely used in analytical sciences and play a central role in several widespread diseases. Thus, there is an immense need for highly adaptable and sensitive assays for the detection and monitoring of various proteolytic enzymes. We established a simple protease fluorescence resonance energy transfer (pro-FRET) assay for the determination of protease activities, which could in principle be adapted for the detection of all proteases. As proof of principle, we demonstrated the potential of our method using trypsin and enteropeptidase in complex biological mixtures. Briefly, the assay is based on the cleavage of a FRET peptide substrate, which results in a dramatic increase of the donor fluorescence. The assay was highly sensitive and fast for both proteases. The detection limits for trypsin and enteropeptidase in Escherichia coli lysate were 100 and 10 amol, respectively. The improved sensitivity for enteropeptidase was due to the application of an enzyme cascade, which leads to signal amplification. The pro-FRET assay is highly specific as even high concentrations of other proteases did not result in significant background signals. In conclusion, this sensitive and simple assay can be performed in complex biological mixtures and can be easily adapted to act as a versatile tool for the sensitive detection of proteases.

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Year:  2011        PMID: 21892820     DOI: 10.1021/ac201274f

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

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Authors:  Joan Mayol-Llinàs; Shiao Chow; Adam Nelson
Journal:  Medchemcomm       Date:  2019-03-22       Impact factor: 3.597

2.  Protein-protected Au clusters as a new class of nanoscale biosensor for label-free fluorescence detection of proteases.

Authors:  Yucai Wang; Yi Wang; Fengbo Zhou; Paul Kim; Younan Xia
Journal:  Small       Date:  2012-09-12       Impact factor: 13.281

3.  Research Techniques Made Simple: Methodology and Applications of Förster Resonance Energy Transfer (FRET) Microscopy.

Authors:  Joshua A Broussard; Kathleen J Green
Journal:  J Invest Dermatol       Date:  2017-11       Impact factor: 8.551

4.  Protease Substrate-Independent Universal Assay for Monitoring Digestion of Native Unmodified Proteins.

Authors:  Emmiliisa Vuorinen; Salla Valtonen; Nazia Hassan; Randa Mahran; Huda Habib; Morteza Malakoutikhah; Kari Kopra; Harri Härmä
Journal:  Int J Mol Sci       Date:  2021-06-14       Impact factor: 5.923

5.  Enhanced colorimetric immunoassay accompanying with enzyme cascade amplification strategy for ultrasensitive detection of low-abundance protein.

Authors:  Zhuangqiang Gao; Li Hou; Mingdi Xu; Dianping Tang
Journal:  Sci Rep       Date:  2014-02-10       Impact factor: 4.379

6.  Determining bacteriophage endopeptidase activity using either fluorophore-quencher labeled peptides combined with liquid chromatography-mass spectrometry (LC-MS) or Förster resonance energy transfer (FRET) assays.

Authors:  Rolf Lood; Henrik Molina; Vincent A Fischetti
Journal:  PLoS One       Date:  2017-03-15       Impact factor: 3.240

7.  Exponential amplification by redox cross-catalysis and unmasking of doubly protected molecular probes.

Authors:  Justine Pallu; Charlie Rabin; Pan Hui; Thamires S Moreira; Geordie Creste; Corentin Calvet; Benoît Limoges; François Mavré; Mathieu Branca
Journal:  Chem Sci       Date:  2022-02-11       Impact factor: 9.825

8.  Evaluation of SARS-CoV-2 3C-like protease inhibitors using self-assembled monolayer desorption ionization mass spectrometry.

Authors:  Zachary A Gurard-Levin; Cheng Liu; Andreas Jekle; Ruchika Jaisinghani; Suping Ren; Koen Vandyck; Dirk Jochmans; Pieter Leyssen; Johan Neyts; Lawrence M Blatt; Leonid Beigelman; Julian A Symons; Pierre Raboisson; Michael D Scholle; Jerome Deval
Journal:  Antiviral Res       Date:  2020-09-05       Impact factor: 5.970

  8 in total

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