Scientific article
OA Policy
English

TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics

Published ineLife, vol. 5, e14334
Publication date2016-05-26
First online date2016-05-26
Abstract

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.

Keywords
  • D. melanogaster
  • Cell biology
  • Computational biology
  • Epithelial cells
  • Epithelial dynamics
  • Systems biology
Affiliation entities Not a UNIGE publication
Funding
  • Alfred P. Sloan Foundation
  • European Research Council
  • Gordon and Betty Moore Foundation
  • The Francis Crick Institute [10317]
  • Bundesministerium für Bildung und Forschung
  • National Science Foundation [NSF-DMR-1352184]
  • Max-Planck-Gesellschaft
  • Seventh Framework Programme
Citation (ISO format)
ETOURNAY, Raphaël et al. TissueMiner: A multiscale analysis toolkit to quantify how cellular processes create tissue dynamics. In: eLife, 2016, vol. 5, p. e14334. doi: 10.7554/eLife.14334
Main files (1)
Article (Published version)
Identifiers
Additional URL for this publicationhttps://elifesciences.org/articles/14334
Journal ISSN2050-084X
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