Literature DB >> 16100750

Detection of botulinum toxins: micromechanical and fluorescence-based sensors.

Vladimir Parpura1, Edwin R Chapman.   

Abstract

Botulinum neurotoxins (BoNTs) are the most lethal of known human toxins, exerting their actions by cleaving the soluble N-ethyl maleimide-sensitive fusion protein attachment protein receptors (SNAREs) required for neurotransmitter release. Early detection of these toxins is important for appropriate medical treatment. To detect BoNT activity, traditional assays monitor the effects of the toxins on a mammalian organism (observing signs of botulism in mice), or identify cleaved substrate molecules (electrophoresis and immunoblot). Similarly, enzyme-linked assays were used for screening potential toxin inhibitors in vitro in attempt to select antitoxins that could be used for therapeutic purposes. Here we review two recently developed sensor systems for detection of toxin activity in vitro and in living cells. In vitro detection was carried out using a micromechanosensor that relies on the attachment of a bead to the micromachined cantilever through the interactions between SNARE proteins, with synaptobrevin 2 deposited onto beads and syntaxin 1A deposited onto cantilevers. The presence of toxin is indicated by the detachment of the bead, resulting from cleavage of synaptobrevin 2. Additional in vitro detection is possible using fluorescent sensors constructed by inserting linkers, containing fragments of SNARE proteins acting as toxin substrates, between cyan and yellow fluorescent proteins (CFP and YFP). Toxins cause the cleavage of these linkers and thereby abolish fluorescence resonance energy transfer (FRET) between CFP and YFP. This approach, combined with an additional sensor based on subcellular redistribution of YFP fluorescence in cells, was used for cell-based screening of toxin activity.

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Year:  2005        PMID: 16100750

Source DB:  PubMed          Journal:  Croat Med J        ISSN: 0353-9504            Impact factor:   1.351


  8 in total

1.  A fluorescence detection platform using spatial electroluminescent excitation for measuring botulinum neurotoxin A activity.

Authors:  Kim E Sapsford; Steven Sun; Jesse Francis; Shashi Sharma; Yordan Kostov; Avraham Rasooly
Journal:  Biosens Bioelectron       Date:  2008-06-18       Impact factor: 10.618

2.  Substrates and controls for the quantitative detection of active botulinum neurotoxin in protease-containing samples.

Authors:  Karine Bagramyan; Bruce E Kaplan; Luisa W Cheng; Jasmin Strotmeier; Andreas Rummel; Markus Kalkum
Journal:  Anal Chem       Date:  2013-05-22       Impact factor: 6.986

3.  Single Molecule Probing of Exocytotic Protein Interactions Using Force Spectroscopy.

Authors:  Vedrana Montana; Wei Liu; Umar Mohideen; Vladimir Parpura
Journal:  Croat Chem Acta       Date:  2008-04-01       Impact factor: 0.887

4.  Lab-on-a-chip for botulinum neurotoxin a (BoNT-A) activity analysis.

Authors:  Steven Sun; Miguel Ossandon; Yordan Kostov; Avraham Rasooly
Journal:  Lab Chip       Date:  2009-09-17       Impact factor: 6.799

5.  Sensing the deadliest toxin: technologies for botulinum neurotoxin detection.

Authors:  Petr Capek; Tobin J Dickerson
Journal:  Toxins (Basel)       Date:  2010-01-07       Impact factor: 4.546

6.  Botulinum toxin suppression of CNS network activity in vitro.

Authors:  Joseph J Pancrazio; Kamakshi Gopal; Edward W Keefer; Guenter W Gross
Journal:  J Toxicol       Date:  2014-02-12

7.  Nanopore sensing of botulinum toxin type B by discriminating an enzymatically cleaved Peptide from a synaptic protein synaptobrevin 2 derivative.

Authors:  Yong Wang; Vedrana Montana; Vladimir Grubišić; Randy F Stout; Vladimir Parpura; Li-Qun Gu
Journal:  ACS Appl Mater Interfaces       Date:  2014-12-29       Impact factor: 9.229

8.  Functional detection of botulinum neurotoxin serotypes A to F by monoclonal neoepitope-specific antibodies and suspension array technology.

Authors:  Laura von Berg; Daniel Stern; Diana Pauly; Stefan Mahrhold; Jasmin Weisemann; Lisa Jentsch; Eva-Maria Hansbauer; Christian Müller; Marc A Avondet; Andreas Rummel; Martin B Dorner; Brigitte G Dorner
Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

  8 in total

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