PUBLICATION
Real-time prediction of cell division timing in developing zebrafish embryo
- Authors
- Kozawa, S., Akanuma, T., Sato, T., Sato, Y.D., Ikeda, K., Sato, T.N.
- ID
- ZDB-PUB-160907-2
- Date
- 2016
- Source
- Scientific Reports 6: 32962 (Journal)
- Registered Authors
- Akanuma, Takashi, Sato, Thomas N.
- Keywords
- Bayesian inference, Time series
- MeSH Terms
-
- Animals
- Bayes Theorem
- Cell Division*
- Cell Line
- Embryonic Development
- Microscopy, Confocal
- Neural Stem Cells/cytology*
- Zebrafish/embryology*
- PubMed
- 27597656 Full text @ Sci. Rep.
Citation
Kozawa, S., Akanuma, T., Sato, T., Sato, Y.D., Ikeda, K., Sato, T.N. (2016) Real-time prediction of cell division timing in developing zebrafish embryo. Scientific Reports. 6:32962.
Abstract
Combination of live-imaging and live-manipulation of developing embryos in vivo provides a useful tool to study developmental processes. Identification and selection of target cells for an in vivo live-manipulation are generally performed by experience- and knowledge-based decision-making of the observer. Computer-assisted live-prediction method would be an additional approach to facilitate the identification and selection of the appropriate target cells. Herein we report such a method using developing zebrafish embryos. We choose V2 neural progenitor cells in developing zebrafish embryo as their successive shape changes can be visualized in real-time in vivo. We developed a relatively simple mathematical method of describing cellular geometry of V2 cells to predict cell division-timing based on their successively changing shapes in vivo. Using quantitatively measured 4D live-imaging data, features of V2 cell-shape at each time point prior to division were extracted and a statistical model capturing the successive changes of the V2 cell-shape was developed. By applying sequential Bayesian inference method to the model, we successfully predicted division-timing of randomly selected individual V2 cells while the cell behavior was being live-imaged. This system could assist pre-selecting target cells desirable for real-time manipulation-thus, presenting a new opportunity for in vivo experimental systems.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping