| RRC ID |
49660
|
| 著者 |
Kozawa S, Akanuma T, Sato T, Sato YD, Ikeda K, Sato TN.
|
| タイトル |
Real-time prediction of cell division timing in developing zebrafish embryo.
|
| ジャーナル |
Sci Rep
|
| 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.
|
| 巻・号 |
6
|
| ページ |
32962
|
| 公開日 |
2016-9-6
|
| DOI |
10.1038/srep32962
|
| PII |
srep32962
|
| PMID |
27597656
|
| PMC |
PMC5011986
|
| MeSH |
Animals
Bayes Theorem
Cell Division*
Cell Line
Embryonic Development
Microscopy, Confocal
Neural Stem Cells / cytology*
Zebrafish / embryology*
|
| IF |
3.998
|
| 引用数 |
5
|
| リソース情報 |
| ゼブラフィッシュ |
Tg(vsx1:EGFP) |
