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Quantification of gap junctional intercellular communication based on digital image analysis
The Danish National Research Foundation Centre for Cardiac Arrhythmia and Department of Biomedical Sciences, Faculty of Health Sciences, University of Copenhagen, Copenhagen N, Denmark Submitted 10 February 2009 ; accepted in final form 10 June 2009 Intercellular communication via gap junction chann...
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Published in: | American journal of physiology. Regulatory, integrative and comparative physiology integrative and comparative physiology, 2009-08, Vol.297 (2), p.R243-R247 |
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container_title | American journal of physiology. Regulatory, integrative and comparative physiology |
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creator | Hofgaard, Johannes P Mollerup, Sarah Holstein-Rathlou, Niels-Henrik Nielsen, Morten Schak |
description | The Danish National Research Foundation Centre for Cardiac Arrhythmia and Department of Biomedical Sciences, Faculty of Health Sciences, University of Copenhagen, Copenhagen N, Denmark
Submitted 10 February 2009
; accepted in final form 10 June 2009
Intercellular communication via gap junction channels can be quantified by several methods based on diffusion of fluorescent dyes or metabolites. Given the variation in intercellular coupling of cells, even under untreated control conditions, it is of essence to quantify the coupling between numerous cells to obtain reliable estimates of metabolic coupling. Quantification is often based on manual counting of fluorescent cells, which is time consuming and may include some degree of subjectivity. In this report, we introduce a technique based on digital image analysis, and the software for the analysis is presented together with a detailed protocol in the online supplemental material ( http://bmi.ku.dk/matlab_program/ ). Fluorescent dye was introduced in connexin 43-expressing C6 glioma cells by in situ electroporation, and fluorescence intensity was measured in the electroporated cells and in cells receiving dye by intercellular diffusion. The analysis performed is semiautomatic, and comparison with traditional cell counting shows that this method reliably determines the effect of uncoupling by several interventions. This new method of analysis yields a rapid and objective quantification process with a high degree of reproducibility.
connexin; gap junction; electroporation; dye transfer
Address for reprint requests and other correspondence: M. Schak Nielsen, The Danish National Research Foundation Centre for Cardiac Arrhythmias and Dept. of Biomedical Sciences, Blegdamsvej 3C, DK-2200 Copenhagen N, Denmark (e-mail: schak{at}mfi.ku.dk ) |
doi_str_mv | 10.1152/ajpregu.00089.2009 |
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Submitted 10 February 2009
; accepted in final form 10 June 2009
Intercellular communication via gap junction channels can be quantified by several methods based on diffusion of fluorescent dyes or metabolites. Given the variation in intercellular coupling of cells, even under untreated control conditions, it is of essence to quantify the coupling between numerous cells to obtain reliable estimates of metabolic coupling. Quantification is often based on manual counting of fluorescent cells, which is time consuming and may include some degree of subjectivity. In this report, we introduce a technique based on digital image analysis, and the software for the analysis is presented together with a detailed protocol in the online supplemental material ( http://bmi.ku.dk/matlab_program/ ). Fluorescent dye was introduced in connexin 43-expressing C6 glioma cells by in situ electroporation, and fluorescence intensity was measured in the electroporated cells and in cells receiving dye by intercellular diffusion. The analysis performed is semiautomatic, and comparison with traditional cell counting shows that this method reliably determines the effect of uncoupling by several interventions. This new method of analysis yields a rapid and objective quantification process with a high degree of reproducibility.
connexin; gap junction; electroporation; dye transfer
Address for reprint requests and other correspondence: M. Schak Nielsen, The Danish National Research Foundation Centre for Cardiac Arrhythmias and Dept. of Biomedical Sciences, Blegdamsvej 3C, DK-2200 Copenhagen N, Denmark (e-mail: schak{at}mfi.ku.dk )</description><identifier>ISSN: 0363-6119</identifier><identifier>EISSN: 1522-1490</identifier><identifier>DOI: 10.1152/ajpregu.00089.2009</identifier><identifier>PMID: 19535680</identifier><identifier>CODEN: AJPRDO</identifier><language>eng</language><publisher>United States: American Physiological Society</publisher><subject>Animals ; Carbenoxolone - pharmacology ; Cell Communication - drug effects ; Cell Communication - physiology ; Cell Line, Tumor ; Cells ; Connexin 43 - genetics ; Connexins - pharmacology ; Dextrans - metabolism ; Digital imaging ; Electroporation - methods ; Fluorescence ; Fluorescent Dyes - metabolism ; Gap Junctions - drug effects ; Gap Junctions - metabolism ; Gene expression ; Image Processing, Computer-Assisted - methods ; Internet ; Isoquinolines - metabolism ; Microscopy, Fluorescence - methods ; Neuroglia - metabolism ; Octanols - pharmacology ; Physiology ; Rats ; Software ; Transfection</subject><ispartof>American journal of physiology. Regulatory, integrative and comparative physiology, 2009-08, Vol.297 (2), p.R243-R247</ispartof><rights>Copyright American Physiological Society Aug 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-e300911a64c7a1c527a46b26600877db0a8583e4d2ff1efd549b521c79d70fdf3</citedby><cites>FETCH-LOGICAL-c366t-e300911a64c7a1c527a46b26600877db0a8583e4d2ff1efd549b521c79d70fdf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27915,27916</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19535680$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hofgaard, Johannes P</creatorcontrib><creatorcontrib>Mollerup, Sarah</creatorcontrib><creatorcontrib>Holstein-Rathlou, Niels-Henrik</creatorcontrib><creatorcontrib>Nielsen, Morten Schak</creatorcontrib><title>Quantification of gap junctional intercellular communication based on digital image analysis</title><title>American journal of physiology. Regulatory, integrative and comparative physiology</title><addtitle>Am J Physiol Regul Integr Comp Physiol</addtitle><description>The Danish National Research Foundation Centre for Cardiac Arrhythmia and Department of Biomedical Sciences, Faculty of Health Sciences, University of Copenhagen, Copenhagen N, Denmark
Submitted 10 February 2009
; accepted in final form 10 June 2009
Intercellular communication via gap junction channels can be quantified by several methods based on diffusion of fluorescent dyes or metabolites. Given the variation in intercellular coupling of cells, even under untreated control conditions, it is of essence to quantify the coupling between numerous cells to obtain reliable estimates of metabolic coupling. Quantification is often based on manual counting of fluorescent cells, which is time consuming and may include some degree of subjectivity. In this report, we introduce a technique based on digital image analysis, and the software for the analysis is presented together with a detailed protocol in the online supplemental material ( http://bmi.ku.dk/matlab_program/ ). Fluorescent dye was introduced in connexin 43-expressing C6 glioma cells by in situ electroporation, and fluorescence intensity was measured in the electroporated cells and in cells receiving dye by intercellular diffusion. The analysis performed is semiautomatic, and comparison with traditional cell counting shows that this method reliably determines the effect of uncoupling by several interventions. This new method of analysis yields a rapid and objective quantification process with a high degree of reproducibility.
connexin; gap junction; electroporation; dye transfer
Address for reprint requests and other correspondence: M. Schak Nielsen, The Danish National Research Foundation Centre for Cardiac Arrhythmias and Dept. of Biomedical Sciences, Blegdamsvej 3C, DK-2200 Copenhagen N, Denmark (e-mail: schak{at}mfi.ku.dk )</description><subject>Animals</subject><subject>Carbenoxolone - pharmacology</subject><subject>Cell Communication - drug effects</subject><subject>Cell Communication - physiology</subject><subject>Cell Line, Tumor</subject><subject>Cells</subject><subject>Connexin 43 - genetics</subject><subject>Connexins - pharmacology</subject><subject>Dextrans - metabolism</subject><subject>Digital imaging</subject><subject>Electroporation - methods</subject><subject>Fluorescence</subject><subject>Fluorescent Dyes - metabolism</subject><subject>Gap Junctions - drug effects</subject><subject>Gap Junctions - metabolism</subject><subject>Gene expression</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Internet</subject><subject>Isoquinolines - metabolism</subject><subject>Microscopy, Fluorescence - methods</subject><subject>Neuroglia - metabolism</subject><subject>Octanols - pharmacology</subject><subject>Physiology</subject><subject>Rats</subject><subject>Software</subject><subject>Transfection</subject><issn>0363-6119</issn><issn>1522-1490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNpdkE9L5DAYh8OirLPufgEPUjzsrWP-tzmK6O6CIC7rTQhpmnQytE1NGmS-venOqOApCXl-L7_3AeAMwTVCDF-q7RRMl9YQwlqsMYTiC1jlD1wiKuARWEHCSckREifgW4zbzFFCyVdwggQjjNdwBZ4ekhpnZ51Ws_Nj4W3RqanYplEvb9UXbpxN0KbvU69Cof0wpPGNblQ0bZEvrevcvMCD6kyhcm4XXfwOjq3qo_lxOE_B4-3Nv-vf5d39rz_XV3elJpzPpSG5OkKKU10ppBmuFOUN5jzvVVVtA1XNamJoi61FxraMioZhpCvRVtC2lpyCn_u5U_DPycRZDi4uldVofIqSVwzWhLIMXnwCtz6F3DZKjEWFBathhvAe0sHHGIyVU8h7hZ1EUC7i5UG8_C9eLuJz6PwwOTWDaT8iB9MZKPfAxnWbFxeMnDbZke99t3sfmDtILP9iSsgr_QiRfQ</recordid><startdate>20090801</startdate><enddate>20090801</enddate><creator>Hofgaard, Johannes P</creator><creator>Mollerup, Sarah</creator><creator>Holstein-Rathlou, Niels-Henrik</creator><creator>Nielsen, Morten Schak</creator><general>American Physiological Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7QR</scope><scope>7TS</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20090801</creationdate><title>Quantification of gap junctional intercellular communication based on digital image analysis</title><author>Hofgaard, Johannes P ; Mollerup, Sarah ; Holstein-Rathlou, Niels-Henrik ; Nielsen, Morten Schak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-e300911a64c7a1c527a46b26600877db0a8583e4d2ff1efd549b521c79d70fdf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Animals</topic><topic>Carbenoxolone - pharmacology</topic><topic>Cell Communication - drug effects</topic><topic>Cell Communication - physiology</topic><topic>Cell Line, Tumor</topic><topic>Cells</topic><topic>Connexin 43 - genetics</topic><topic>Connexins - pharmacology</topic><topic>Dextrans - metabolism</topic><topic>Digital imaging</topic><topic>Electroporation - methods</topic><topic>Fluorescence</topic><topic>Fluorescent Dyes - metabolism</topic><topic>Gap Junctions - drug effects</topic><topic>Gap Junctions - metabolism</topic><topic>Gene expression</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Internet</topic><topic>Isoquinolines - metabolism</topic><topic>Microscopy, Fluorescence - methods</topic><topic>Neuroglia - metabolism</topic><topic>Octanols - pharmacology</topic><topic>Physiology</topic><topic>Rats</topic><topic>Software</topic><topic>Transfection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hofgaard, Johannes P</creatorcontrib><creatorcontrib>Mollerup, Sarah</creatorcontrib><creatorcontrib>Holstein-Rathlou, Niels-Henrik</creatorcontrib><creatorcontrib>Nielsen, Morten Schak</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of physiology. Regulatory, integrative and comparative physiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hofgaard, Johannes P</au><au>Mollerup, Sarah</au><au>Holstein-Rathlou, Niels-Henrik</au><au>Nielsen, Morten Schak</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of gap junctional intercellular communication based on digital image analysis</atitle><jtitle>American journal of physiology. Regulatory, integrative and comparative physiology</jtitle><addtitle>Am J Physiol Regul Integr Comp Physiol</addtitle><date>2009-08-01</date><risdate>2009</risdate><volume>297</volume><issue>2</issue><spage>R243</spage><epage>R247</epage><pages>R243-R247</pages><issn>0363-6119</issn><eissn>1522-1490</eissn><coden>AJPRDO</coden><abstract>The Danish National Research Foundation Centre for Cardiac Arrhythmia and Department of Biomedical Sciences, Faculty of Health Sciences, University of Copenhagen, Copenhagen N, Denmark
Submitted 10 February 2009
; accepted in final form 10 June 2009
Intercellular communication via gap junction channels can be quantified by several methods based on diffusion of fluorescent dyes or metabolites. Given the variation in intercellular coupling of cells, even under untreated control conditions, it is of essence to quantify the coupling between numerous cells to obtain reliable estimates of metabolic coupling. Quantification is often based on manual counting of fluorescent cells, which is time consuming and may include some degree of subjectivity. In this report, we introduce a technique based on digital image analysis, and the software for the analysis is presented together with a detailed protocol in the online supplemental material ( http://bmi.ku.dk/matlab_program/ ). Fluorescent dye was introduced in connexin 43-expressing C6 glioma cells by in situ electroporation, and fluorescence intensity was measured in the electroporated cells and in cells receiving dye by intercellular diffusion. The analysis performed is semiautomatic, and comparison with traditional cell counting shows that this method reliably determines the effect of uncoupling by several interventions. This new method of analysis yields a rapid and objective quantification process with a high degree of reproducibility.
connexin; gap junction; electroporation; dye transfer
Address for reprint requests and other correspondence: M. Schak Nielsen, The Danish National Research Foundation Centre for Cardiac Arrhythmias and Dept. of Biomedical Sciences, Blegdamsvej 3C, DK-2200 Copenhagen N, Denmark (e-mail: schak{at}mfi.ku.dk )</abstract><cop>United States</cop><pub>American Physiological Society</pub><pmid>19535680</pmid><doi>10.1152/ajpregu.00089.2009</doi></addata></record> |
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subjects | Animals Carbenoxolone - pharmacology Cell Communication - drug effects Cell Communication - physiology Cell Line, Tumor Cells Connexin 43 - genetics Connexins - pharmacology Dextrans - metabolism Digital imaging Electroporation - methods Fluorescence Fluorescent Dyes - metabolism Gap Junctions - drug effects Gap Junctions - metabolism Gene expression Image Processing, Computer-Assisted - methods Internet Isoquinolines - metabolism Microscopy, Fluorescence - methods Neuroglia - metabolism Octanols - pharmacology Physiology Rats Software Transfection |
title | Quantification of gap junctional intercellular communication based on digital image analysis |
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