Literature DB >> 25172942

Fluorescence recovery after photobleaching reveals regulation and distribution of connexin36 gap junction coupling within mouse islets of Langerhans.

Nikki L Farnsworth1, Alireza Hemmati2, Marina Pozzoli2, Richard K P Benninger3.   

Abstract

The pancreatic islets are central to the maintenance of glucose homeostasis through insulin secretion. Glucose‐stimulated insulin secretion is tightly linked to electrical activity in β cells within the islet. Gap junctions, composed of connexin36 (Cx36), form intercellular channels between β cells, synchronizing electrical activity and insulin secretion. Loss of gap junction coupling leads to altered insulin secretion dynamics and disrupted glucose homeostasis. Gap junction coupling is known to be disrupted in mouse models of pre‐diabetes. Although approaches to measure gap junction coupling have been devised, they either lack cell specificity, suitable quantification of coupling or spatial resolution, or are invasive. The purpose of this study was to develop fluorescence recovery after photobleaching (FRAP) as a technique to accurately and robustly measure gap junction coupling in the islet. The cationic dye Rhodamine 123 was used with FRAP to quantify dye diffusion between islet β cells as a measure of Cx36 gap junction coupling. Measurements in islets with reduced Cx36 verified the accuracy of this technique in distinguishing between distinct levels of gap junction coupling. Analysis of individual cells revealed that the distribution of coupling across the islet is highly heterogeneous. Analysis of several modulators of gap junction coupling revealed glucose‐ and cAMP‐dependent modulation of gap junction coupling in islets. Finally, FRAP was used to determine cell population specific coupling, where no functional gap junction coupling was observed between α cells and β cells in the islet. The results of this study show FRAP to be a robust technique which provides the cellular resolution to quantify the distribution and regulation of Cx36 gap junction coupling in specific cell populations within the islet. Future studies utilizing this technique may elucidate the role of gap junction coupling in the progression of diabetes and identify mechanisms of gap junction regulation for potential therapies.

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Year:  2014        PMID: 25172942      PMCID: PMC4287745          DOI: 10.1113/jphysiol.2014.276733

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


  53 in total

1.  Dimensionality and size scaling of coordinated Ca(2+) dynamics in MIN6 β-cell clusters.

Authors:  Thomas H Hraha; Abigail B Bernard; Linda M Nguyen; Kristi S Anseth; Richard K P Benninger
Journal:  Biophys J       Date:  2014-01-07       Impact factor: 4.033

2.  Connexin 30.2 is expressed in mouse pancreatic beta cells.

Authors:  C Coronel-Cruz; B Hernández-Tellez; R López-Vancell; Y López-Vidal; J Berumen; A Castell; E M Pérez-Armendariz
Journal:  Biochem Biophys Res Commun       Date:  2013-07-03       Impact factor: 3.575

3.  Adhesion molecule CADM1 contributes to gap junctional communication among pancreatic islet α-cells and prevents their excessive secretion of glucagon.

Authors:  Akihiko Ito; Naoki Ichiyanagi; Yuki Ikeda; Man Hagiyama; Takao Inoue; Keiko B Kimura; Minami A Sakurai; Kazuyuki Hamaguchi; Yoshinori Murakami
Journal:  Islets       Date:  2012-01-01       Impact factor: 2.694

Review 4.  New insights into the role of connexins in pancreatic islet function and diabetes.

Authors:  Nikki L Farnsworth; Richard K P Benninger
Journal:  FEBS Lett       Date:  2014-02-28       Impact factor: 4.124

5.  Two-photon excitation microscopy for the study of living cells and tissues.

Authors:  Richard K P Benninger; David W Piston
Journal:  Curr Protoc Cell Biol       Date:  2013-06

Review 6.  Connexin 36, a key element in pancreatic beta cell function.

Authors:  E Martha Pérez-Armendariz
Journal:  Neuropharmacology       Date:  2013-08-23       Impact factor: 5.250

7.  Lipotoxicity disrupts incretin-regulated human β cell connectivity.

Authors:  David J Hodson; Ryan K Mitchell; Elisa A Bellomo; Gao Sun; Laurent Vinet; Paolo Meda; Daliang Li; Wen-Hong Li; Marco Bugliani; Piero Marchetti; Domenico Bosco; Lorenzo Piemonti; Paul Johnson; Stephen J Hughes; Guy A Rutter
Journal:  J Clin Invest       Date:  2013-09-09       Impact factor: 14.808

8.  Functional connectivity in islets of Langerhans from mouse pancreas tissue slices.

Authors:  Andraž Stožer; Marko Gosak; Jurij Dolenšek; Matjaž Perc; Marko Marhl; Marjan Slak Rupnik; Dean Korošak
Journal:  PLoS Comput Biol       Date:  2013-02-28       Impact factor: 4.475

9.  Learning theories reveal loss of pancreatic electrical connectivity in diabetes as an adaptive response.

Authors:  Pranay Goel; Anita Mehta
Journal:  PLoS One       Date:  2013-08-01       Impact factor: 3.240

10.  A rapid and sensitive assay of intercellular coupling by voltage imaging of gap junction networks.

Authors:  Federico Ceriani; Fabio Mammano
Journal:  Cell Commun Signal       Date:  2013-10-21       Impact factor: 5.712

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  22 in total

1.  Corrigenda.

Authors: 
Journal:  J Physiol       Date:  2015-06-19       Impact factor: 5.182

2.  Aligned ovine diaphragmatic myoblasts overexpressing human connexin-43 seeded on poly (L-lactic acid) scaffolds for potential use in cardiac regeneration.

Authors:  Carlos Sebastián Giménez; Paola Locatelli; Florencia Montini Ballarin; Alejandro Orlowski; Ricardo A Dewey; Milagros Pena; Gustavo Abel Abraham; Ernesto Alejandro Aiello; María Del Rosario Bauzá; Luis Cuniberti; Fernanda Daniela Olea; Alberto Crottogini
Journal:  Cytotechnology       Date:  2017-11-15       Impact factor: 2.058

3.  Spatially Organized β-Cell Subpopulations Control Electrical Dynamics across Islets of Langerhans.

Authors:  Matthew J Westacott; Nurin W F Ludin; Richard K P Benninger
Journal:  Biophys J       Date:  2017-09-05       Impact factor: 4.033

4.  Exendin-4 overcomes cytokine-induced decreases in gap junction coupling via protein kinase A and Epac2 in mouse and human islets.

Authors:  Nikki L Farnsworth; Rachelle Walter; Robert A Piscopio; Wolfgang E Schleicher; Richard K P Benninger
Journal:  J Physiol       Date:  2018-11-29       Impact factor: 5.182

5.  Age-Dependent Decline in the Coordinated [Ca2+] and Insulin Secretory Dynamics in Human Pancreatic Islets.

Authors:  Matthew J Westacott; Nikki L Farnsworth; Joshua R St Clair; Greg Poffenberger; Audrey Heintz; Nurin W Ludin; Nathaniel J Hart; Alvin C Powers; Richard K P Benninger
Journal:  Diabetes       Date:  2017-06-06       Impact factor: 9.461

Review 6.  The physiological role of β-cell heterogeneity in pancreatic islet function.

Authors:  Richard K P Benninger; Vira Kravets
Journal:  Nat Rev Endocrinol       Date:  2021-10-19       Impact factor: 43.330

7.  How Heterogeneity in Glucokinase and Gap-Junction Coupling Determines the Islet [Ca2+] Response.

Authors:  JaeAnn M Dwulet; Nurin W F Ludin; Robert A Piscopio; Wolfgang E Schleicher; Ong Moua; Matthew J Westacott; Richard K P Benninger
Journal:  Biophys J       Date:  2019-11-05       Impact factor: 4.033

8.  Low Level Pro-inflammatory Cytokines Decrease Connexin36 Gap Junction Coupling in Mouse and Human Islets through Nitric Oxide-mediated Protein Kinase Cδ.

Authors:  Nikki L Farnsworth; Rachelle L Walter; Alireza Hemmati; Matthew J Westacott; Richard K P Benninger
Journal:  J Biol Chem       Date:  2015-12-14       Impact factor: 5.157

Review 9.  Beta cell connectivity in pancreatic islets: a type 2 diabetes target?

Authors:  Guy A Rutter; David J Hodson
Journal:  Cell Mol Life Sci       Date:  2014-10-17       Impact factor: 9.261

10.  Reduced synchroneity of intra-islet Ca2+ oscillations in vivo in Robo-deficient β cells.

Authors:  Melissa T Adams; JaeAnn M Dwulet; Jennifer K Briggs; Christopher A Reissaus; Erli Jin; Joseph M Szulczewski; Melissa R Lyman; Sophia M Sdao; Vira Kravets; Sutichot D Nimkulrat; Suzanne M Ponik; Matthew J Merrins; Raghavendra G Mirmira; Amelia K Linnemann; Richard Kp Benninger; Barak Blum
Journal:  Elife       Date:  2021-07-07       Impact factor: 8.713

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