Literature DB >> 12668666

Helical secondary structure of the external S3-S4 linker of pacemaker (HCN) channels revealed by site-dependent perturbations of activation phenotype.

Heinte Lesso1, Ronald A Li.   

Abstract

If, encoded by the hyperpolarization-activated cyclic nucleotide-modulated channel family (HCN1-4), contributes significantly to neuronal and cardiac pacing. Recently, we reported that the S3-S4 residue Glu-235 of HCN1 influences activation by acting as a surface charge. However, it is uncertain whether other residues of the external S3-S4 linker are also involved in gating. Furthermore, the secondary conformation of the linker is not known. Here we probed the structural and functional role of the HCN1 S3-S4 linker by introducing systematic mutations into the entire linker (defined as 229-237) and studying their effects. We found that the mutations K230A (-62.2 +/- 3.4 mV versus -72.2 +/- 1.7 mV of wild type (WT)), G231A (-64.4 +/- 1.3 mV), M232A (V(1/2) = -63.1 +/- 1.1 mV), and E235G (-65.4 +/- 1.5 mV) produced depolarizing activation shifts. Although E229A and M232A decelerated gating kinetics (<13- and 3-fold, respectively), K230A and G231A accelerated both activation and deactivation (< approximately 2-3-fold). D233A, S234A, V236A, and Y237A channels exhibited WT properties (p > 0.05). Shortening the linker (EVY235-237deltadeltadelta) caused depolarizing activation shift and slowed kinetics that could not be explained by removing the charge at position 235 alone. Secondary structural predictions by the modeling algorithms SSpro2 and PROF, along with refinements by our experimental data, suggest that part of the S3-S4 linker conforms a helical structure with the functionally important residues Met-232, Glu-235, and Gly-231 (|deltadeltaG|>1 kcal/mol) clustered on one side.

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Year:  2003        PMID: 12668666     DOI: 10.1074/jbc.M302466200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  11 in total

1.  Mechanistic role of I(f) revealed by induction of ventricular automaticity by somatic gene transfer of gating-engineered pacemaker (HCN) channels.

Authors:  Tian Xue; Chung-Wah Siu; Deborah K Lieu; Chu-Pak Lau; Hung-Fat Tse; Ronald A Li
Journal:  Circulation       Date:  2007-03-26       Impact factor: 29.690

Review 2.  HCN-encoded pacemaker channels: from physiology and biophysics to bioengineering.

Authors:  C-W Siu; D K Lieu; R A Li
Journal:  J Membr Biol       Date:  2007-06-08       Impact factor: 1.843

3.  HCN2 channels: a permanent open state and conductance changes.

Authors:  François Pittoors; Pierre Paul Van Bogaert
Journal:  J Membr Biol       Date:  2014-11-13       Impact factor: 1.843

4.  Tryptophan-scanning mutagenesis in the S1 domain of mammalian HCN channel reveals residues critical for voltage-gated activation.

Authors:  Takahiro M Ishii; Noriyuki Nakashima; Harunori Ohmori
Journal:  J Physiol       Date:  2006-12-21       Impact factor: 5.182

Review 5.  Gene- and cell-based bio-artificial pacemaker: what basic and translational lessons have we learned?

Authors:  R A Li
Journal:  Gene Ther       Date:  2012-06       Impact factor: 5.250

6.  The effect of alterations of schizophrenia-associated genes on gamma band oscillations.

Authors:  Christoph Metzner; Tuomo Mäki-Marttunen; Gili Karni; Hana McMahon-Cole; Volker Steuber
Journal:  Schizophrenia (Heidelb)       Date:  2022-04-28

7.  Probing the bradycardic drug binding receptor of HCN-encoded pacemaker channels.

Authors:  Yau-Chi Chan; Kai Wang; Ka-Wing Au; Ka Wing Au; Chu-Pak Lau; Hung-Fat Tse; Ronald A Li
Journal:  Pflugers Arch       Date:  2009-11       Impact factor: 3.657

8.  Synergistic effects of inward rectifier (I) and pacemaker (I) currents on the induction of bioengineered cardiac automaticity.

Authors:  Yau-Chi Chan; Chung-Wah Siu; Yee-Man Lau; Chu-Pak Lau; Ronald A Li; Hung-Fat Tse
Journal:  J Cardiovasc Electrophysiol       Date:  2009-09

9.  Pleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling.

Authors:  Tuomo Mäki-Marttunen; Glenn T Lines; Andrew G Edwards; Aslak Tveito; Anders M Dale; Gaute T Einevoll; Ole A Andreassen
Journal:  Transl Psychiatry       Date:  2017-11-17       Impact factor: 6.222

10.  Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology.

Authors:  Tuomo Mäki-Marttunen; Anna Devor; William A Phillips; Anders M Dale; Ole A Andreassen; Gaute T Einevoll
Journal:  Front Comput Neurosci       Date:  2019-09-26       Impact factor: 2.380

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