Real-time prediction of cell division timing in developing zebrafish embryo

Satoshi Kozawa, Takashi Akanuma, Tetsuo Sato, Yasuomi D. Sato, Kazushi Ikeda, Thomas N. Sato

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Article number32962
JournalScientific Reports
Volume6
DOIs
Publication statusPublished - 2016 Sep 6
Externally publishedYes

Fingerprint

Zebrafish
Cell Division
Embryonic Structures
Cell Shape
Bayes Theorem
Statistical Models
Decision Making
Stem Cells

ASJC Scopus subject areas

  • General

Cite this

Real-time prediction of cell division timing in developing zebrafish embryo. / Kozawa, Satoshi; Akanuma, Takashi; Sato, Tetsuo; Sato, Yasuomi D.; Ikeda, Kazushi; Sato, Thomas N.

In: Scientific Reports, Vol. 6, 32962, 06.09.2016.

Research output: Contribution to journalArticle

Kozawa, Satoshi ; Akanuma, Takashi ; Sato, Tetsuo ; Sato, Yasuomi D. ; Ikeda, Kazushi ; Sato, Thomas N. / Real-time prediction of cell division timing in developing zebrafish embryo. In: Scientific Reports. 2016 ; Vol. 6.
@article{e2df226966d94d06b6bcc0f73ac1e9c0,
title = "Real-time prediction of cell division timing in developing zebrafish embryo",
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.",
author = "Satoshi Kozawa and Takashi Akanuma and Tetsuo Sato and Sato, {Yasuomi D.} and Kazushi Ikeda and Sato, {Thomas N.}",
year = "2016",
month = "9",
day = "6",
doi = "10.1038/srep32962",
language = "English",
volume = "6",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Real-time prediction of cell division timing in developing zebrafish embryo

AU - Kozawa, Satoshi

AU - Akanuma, Takashi

AU - Sato, Tetsuo

AU - Sato, Yasuomi D.

AU - Ikeda, Kazushi

AU - Sato, Thomas N.

PY - 2016/9/6

Y1 - 2016/9/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84986538762&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84986538762&partnerID=8YFLogxK

U2 - 10.1038/srep32962

DO - 10.1038/srep32962

M3 - Article

C2 - 27597656

AN - SCOPUS:84986538762

VL - 6

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 32962

ER -