Literature DB >> 20445098

pH-dependent modulation of voltage gating in connexin45 homotypic and connexin45/connexin43 heterotypic gap junctions.

Nicolas Palacios-Prado1, Stephen W Briggs, Vytenis A Skeberdis, Mindaugas Pranevicius, Michael V L Bennett, Feliksas F Bukauskas.   

Abstract

Intracellular pH (pH(i)) can change during physiological and pathological conditions causing significant changes of electrical and metabolic cell-cell communication through gap junction (GJ) channels. In HeLa cells expressing wild-type connexin45 (Cx45) as well as Cx45 and Cx43 tagged with EGFP, we examined how pH(i) affects junctional conductance (g(j)) and g(j) dependence on transjunctional voltage (V(j)). To characterize V(j) gating, we fit the g(j)-V(j) relation using a stochastic four-state model containing one V(j)-sensitive gate in each apposed hemichannel (aHC); aHC open probability was a Boltzmann function of the fraction of V(j) across it. Using the model, we estimated gating parameters characterizing sensitivity to V(j) and number of functional channels. In homotypic Cx45 and heterotypic Cx45/Cx43-EGFP GJs, pH(i) changes from 7.2 to approximately 8.0 shifted g(j)-V(j) dependence of Cx45 aHCs along the V(j) axis resulting in increased probability of GJ channels being in the fully open state without change in the slope of g(j) dependence on V(j). In contrast, acidification shifted g(j)-V(j) dependence in the opposite direction, reducing open probability; acidification also reduced the number of functional channels. Correlation between the number of channels in Cx45-EGFP GJs and maximal g(j) achieved under alkaline conditions showed that only approximately 4% of channels were functional. The acid dissociation constant (pK(a)) of g(j)-pH(i) dependence of Cx45/Cx45 GJs was approximately 7. The pK(a) of heterotypic Cx45/Cx43-EGFP GJs was lower, approximately 6.7, between the pK(a)s of Cx45 and Cx43-EGFP (approximately 6.5) homotypic GJs. In summary, pH(i) significantly modulates junctional conductance of Cx45 by affecting both V(j) gating and number of functional channels.

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Year:  2010        PMID: 20445098      PMCID: PMC2906847          DOI: 10.1073/pnas.1004552107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

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  35 in total

Review 1.  Modulation of metabolic communication through gap junction channels by transjunctional voltage; synergistic and antagonistic effects of gating and ionophoresis.

Authors:  Nicolás Palacios-Prado; Feliksas F Bukauskas
Journal:  Biochim Biophys Acta       Date:  2011-09-10

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Journal:  Biophys J       Date:  2012-06-05       Impact factor: 4.033

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Authors:  Mindaugas Snipas; Tadas Kraujalis; Nerijus Paulauskas; Kestutis Maciunas; Feliksas F Bukauskas
Journal:  Biophys J       Date:  2016-03-29       Impact factor: 4.033

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Authors:  Lilia Y Kucheryavykh; Jan Benedikt; Luis A Cubano; Serguei N Skatchkov; Feliksas F Bukauskas; Yuriy V Kucheryavykh
Journal:  Neuroreport       Date:  2017-03-01       Impact factor: 1.837

7.  pH-dependent modulation of connexin-based gap junctional uncouplers.

Authors:  Vytenis A Skeberdis; Lina Rimkute; Aiste Skeberdyte; Nerijus Paulauskas; Feliksas F Bukauskas
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8.  Cadmium versus Lanthanum Effects on Spontaneous Electrical Activity and Expression of Connexin Isoforms Cx26, Cx36, and Cx45 in the Human Fetal Cortex.

Authors:  Dusica M Kocovic; Pallavi V Limaye; Lauren C H Colburn; Mandakini B Singh; Milena M Milosevic; Jasmina Tadic; Milos Petronijevic; Svetlana Vrzic-Petronijevic; Pavle R Andjus; Srdjan D Antic
Journal:  Cereb Cortex       Date:  2020-03-14       Impact factor: 5.357

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Authors:  Nan Wang; Marijke De Bock; Gudrun Antoons; Ashish K Gadicherla; Mélissa Bol; Elke Decrock; William Howard Evans; Karin R Sipido; Feliksas F Bukauskas; Luc Leybaert
Journal:  Basic Res Cardiol       Date:  2012-10-21       Impact factor: 17.165

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Authors:  Alina Marandykina; Nicolás Palacios-Prado; Lina Rimkutė; Vytenis A Skeberdis; Feliksas F Bukauskas
Journal:  J Physiol       Date:  2013-02-18       Impact factor: 5.182

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