Literature DB >> 12562900

Properties of the human muscle nicotinic receptor, and of the slow-channel myasthenic syndrome mutant epsilonL221F, inferred from maximum likelihood fits.

C J Hatton1, C Shelley, M Brydson, D Beeson, D Colquhoun.   

Abstract

The mechanisms that underlie activation of nicotinic receptors are investigated using human recombinant receptors, both wild type and receptors that contain the slow channel myasthenic syndrome mutation, epsilonL221F. The method uses the program HJCFIT, which fits the rate constants in a specified mechanism directly to a sequence of observed open and shut times by maximising the likelihood of the sequence with exact correction for missed events. A mechanism with two different binding sites was used. The rate constants that apply to the diliganded receptor (opening, shutting and total dissociation rates) were estimated robustly, being insensitive to the exact assumptions made during fitting, as expected from simulation studies. They are sufficient to predict the main physiological properties of the receptors. The epsilonL221F mutation causes an approximately 4-fold reduction in dissociation rate from diliganded receptors, and a smaller increase in opening rate and mean open time. These are sufficient to explain the approximately 6-fold slowing of decay of miniature synaptic currents seen in patients. The distinction between the two binding sites was less robust, the estimates of rate constants being dependent to some extent on assumptions, e.g. whether an extra short-lived shut state was included or whether the EC50 was constrained. The results suggest that the two binding sites differ by roughly 10-fold in the affinity of the shut receptor for ACh in the wild type, and that in the epsilonL221F mutation the lower affinity is increased so the sites become more similar.

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Year:  2003        PMID: 12562900      PMCID: PMC2342726          DOI: 10.1113/jphysiol.2002.034173

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  56 in total

1.  The quality of maximum likelihood estimates of ion channel rate constants.

Authors:  D Colquhoun; C J Hatton; A G Hawkes
Journal:  J Physiol       Date:  2003-01-24       Impact factor: 5.182

2.  Dependency plots suggest the kinetic structure of ion channels.

Authors:  K L Magleby; L Song
Journal:  Proc Biol Sci       Date:  1992-08-22       Impact factor: 5.349

Review 3.  Mutational studies of protein structures and their stabilities.

Authors:  D Shortle
Journal:  Q Rev Biophys       Date:  1992-05       Impact factor: 5.318

4.  Nicotinic acetylcholine receptor at 9 A resolution.

Authors:  N Unwin
Journal:  J Mol Biol       Date:  1993-02-20       Impact factor: 5.469

Review 5.  Structure of nicotinic acetylcholine receptors.

Authors:  A Karlin
Journal:  Curr Opin Neurobiol       Date:  1993-06       Impact factor: 6.627

6.  Fluctuations in the microsecond time range of the current through single acetylcholine receptor ion channels.

Authors:  D Colquhoun; B Sakmann
Journal:  Nature       Date:  1981-12-03       Impact factor: 49.962

7.  Serum choline activates mutant acetylcholine receptors that cause slow channel congenital myasthenic syndromes.

Authors:  M Zhou; A G Engel; A Auerbach
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

8.  A molecular scheme for the reaction between acetylcholine and nicotinic channels.

Authors:  C Franke; H Parnas; G Hovav; J Dudel
Journal:  Biophys J       Date:  1993-02       Impact factor: 4.033

9.  Primary structure of the human muscle acetylcholine receptor. cDNA cloning of the gamma and epsilon subunits.

Authors:  D Beeson; M Brydson; M Betty; S Jeremiah; S Povey; A Vincent; J Newsom-Davis
Journal:  Eur J Biochem       Date:  1993-07-15

10.  Single acetylcholine-activated channels show burst-kinetics in presence of desensitizing concentrations of agonist.

Authors:  B Sakmann; J Patlak; E Neher
Journal:  Nature       Date:  1980-07-03       Impact factor: 49.962

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  45 in total

1.  The quality of maximum likelihood estimates of ion channel rate constants.

Authors:  D Colquhoun; C J Hatton; A G Hawkes
Journal:  J Physiol       Date:  2003-01-24       Impact factor: 5.182

2.  How to impose microscopic reversibility in complex reaction mechanisms.

Authors:  David Colquhoun; Kathryn A Dowsland; Marco Beato; Andrew J R Plested
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

3.  Activation of single heteromeric GABA(A) receptor ion channels by full and partial agonists.

Authors:  Martin Mortensen; Uffe Kristiansen; Bjarke Ebert; Bente Frølund; Povl Krogsgaard-Larsen; Trevor G Smart
Journal:  J Physiol       Date:  2004-02-27       Impact factor: 5.182

4.  Distinct activities of GABA agonists at synaptic- and extrasynaptic-type GABAA receptors.

Authors:  Martin Mortensen; Bjarke Ebert; Keith Wafford; Trevor G Smart
Journal:  J Physiol       Date:  2010-02-22       Impact factor: 5.182

5.  Gating of acetylcholine receptor channels: brownian motion across a broad transition state.

Authors:  Anthony Auerbach
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-21       Impact factor: 11.205

6.  Maximum likelihood fitting of single channel NMDA activity with a mechanism composed of independent dimers of subunits.

Authors:  Stephanie Schorge; Sergio Elenes; David Colquhoun
Journal:  J Physiol       Date:  2005-10-13       Impact factor: 5.182

7.  Short openings in high resolution single channel recordings of mouse nicotinic receptors.

Authors:  Stefan Hallermann; Sabine Heckmann; Josef Dudel; Manfred Heckmann
Journal:  J Physiol       Date:  2005-01-27       Impact factor: 5.182

8.  From shut to open: what can we learn from linear free energy relationships?

Authors:  David Colquhoun
Journal:  Biophys J       Date:  2005-12       Impact factor: 4.033

9.  Analysis of single ion channel data incorporating time-interval omission and sampling.

Authors:  Yu-Kai The; Jens Timmer
Journal:  J R Soc Interface       Date:  2006-02-22       Impact factor: 4.118

Review 10.  Agonist-activated ion channels.

Authors:  David Colquhoun
Journal:  Br J Pharmacol       Date:  2006-01       Impact factor: 8.739

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