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TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics
Segmentation and tracking of cells in long-term time-lapse experiments has emerged as a powerful method to understand how tissue shape changes emerge from the complex choreography of constituent cells. However, methods to store and interrogate the large datasets produced by these experiments are not...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946903/ https://www.ncbi.nlm.nih.gov/pubmed/27228153 http://dx.doi.org/10.7554/eLife.14334 |
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author | Etournay, Raphaël Merkel, Matthias Popović, Marko Brandl, Holger Dye, Natalie A Aigouy, Benoît Salbreux, Guillaume Eaton, Suzanne Jülicher, Frank |
author_facet | Etournay, Raphaël Merkel, Matthias Popović, Marko Brandl, Holger Dye, Natalie A Aigouy, Benoît Salbreux, Guillaume Eaton, Suzanne Jülicher, Frank |
author_sort | Etournay, Raphaël |
collection | PubMed |
description | Segmentation and tracking of cells in long-term time-lapse experiments has emerged as a powerful method to understand how tissue shape changes emerge from the complex choreography of constituent cells. However, methods to store and interrogate the large datasets produced by these experiments are not widely available. Furthermore, recently developed methods for relating tissue shape changes to cell dynamics have not yet been widely applied by biologists because of their technical complexity. We therefore developed a database format that stores cellular connectivity and geometry information of deforming epithelial tissues, and computational tools to interrogate it and perform multi-scale analysis of morphogenesis. We provide tutorials for this computational framework, called TissueMiner, and demonstrate its capabilities by comparing cell and tissue dynamics in vein and inter-vein subregions of the Drosophila pupal wing. These analyses reveal an unexpected role for convergent extension in shaping wing veins. DOI: http://dx.doi.org/10.7554/eLife.14334.001 |
format | Online Article Text |
id | pubmed-4946903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49469032016-07-19 TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics Etournay, Raphaël Merkel, Matthias Popović, Marko Brandl, Holger Dye, Natalie A Aigouy, Benoît Salbreux, Guillaume Eaton, Suzanne Jülicher, Frank eLife Cell Biology Segmentation and tracking of cells in long-term time-lapse experiments has emerged as a powerful method to understand how tissue shape changes emerge from the complex choreography of constituent cells. However, methods to store and interrogate the large datasets produced by these experiments are not widely available. Furthermore, recently developed methods for relating tissue shape changes to cell dynamics have not yet been widely applied by biologists because of their technical complexity. We therefore developed a database format that stores cellular connectivity and geometry information of deforming epithelial tissues, and computational tools to interrogate it and perform multi-scale analysis of morphogenesis. We provide tutorials for this computational framework, called TissueMiner, and demonstrate its capabilities by comparing cell and tissue dynamics in vein and inter-vein subregions of the Drosophila pupal wing. These analyses reveal an unexpected role for convergent extension in shaping wing veins. DOI: http://dx.doi.org/10.7554/eLife.14334.001 eLife Sciences Publications, Ltd 2016-05-26 /pmc/articles/PMC4946903/ /pubmed/27228153 http://dx.doi.org/10.7554/eLife.14334 Text en © 2016, Etournay et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Cell Biology Etournay, Raphaël Merkel, Matthias Popović, Marko Brandl, Holger Dye, Natalie A Aigouy, Benoît Salbreux, Guillaume Eaton, Suzanne Jülicher, Frank TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
title | TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
title_full | TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
title_fullStr | TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
title_full_unstemmed | TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
title_short | TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
title_sort | tissueminer: a multiscale analysis toolkit to quantify how cellular processes create tissue dynamics |
topic | Cell Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946903/ https://www.ncbi.nlm.nih.gov/pubmed/27228153 http://dx.doi.org/10.7554/eLife.14334 |
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