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  1. 03 バイオサイエンス
  2. 01 学術雑誌論文

In-Depth Quantification of Cell Division and Elongation Dynamics at the Tip of Growing Arabidopsis Roots Using 4D Microscopy, AI-Assisted Image Processing and Data Sonification

http://hdl.handle.net/10061/0002000645
http://hdl.handle.net/10061/0002000645
795570d9-b002-4f37-a395-ad20a53cc40d
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2024-10-25
タイトル
タイトル In-Depth Quantification of Cell Division and Elongation Dynamics at the Tip of Growing Arabidopsis Roots Using 4D Microscopy, AI-Assisted Image Processing and Data Sonification
言語
言語 eng
キーワード
主題Scheme Other
主題 Cell division
キーワード
主題Scheme Other
主題 Cell elongation
キーワード
主題Scheme Other
主題 Deep learning
キーワード
主題Scheme Other
主題 Root zonation
キーワード
主題Scheme Other
主題 Sonification
キーワード
主題Scheme Other
主題 Time-lapse imaging
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 郷, 達明

× 郷, 達明

WEKO 42
e-Rad_Researcher 80511419

ja 郷, 達明

ja-Kana ゴウ, タツアキ

en Goh, Tatsuaki

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Song, Yu

× Song, Yu

en Song, Yu

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Yonekura, Takaaki

× Yonekura, Takaaki

en Yonekura, Takaaki

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Obushi, Noriyasu

× Obushi, Noriyasu

en Obushi, Noriyasu

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Den, Zeping

× Den, Zeping

en Den, Zeping

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Imizu, Katsutoshi

× Imizu, Katsutoshi

en Imizu, Katsutoshi

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Tomizawa, Yoko

× Tomizawa, Yoko

en Tomizawa, Yoko

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Kondo, Yohei

× Kondo, Yohei

en Kondo, Yohei

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Miyashima, Shunsuke

× Miyashima, Shunsuke

en Miyashima, Shunsuke

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Iwamoto, Yutaro

× Iwamoto, Yutaro

en Iwamoto, Yutaro

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Inami, Masahiko

× Inami, Masahiko

en Inami, Masahiko

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Chen, Yen-Wei

× Chen, Yen-Wei

en Chen, Yen-Wei

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中島, 敬二

× 中島, 敬二

WEKO 102
e-Rad_Researcher 80273853

ja 中島, 敬二

ja-Kana ナカジマ, ケイジ

en Nakajima, Keiji

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抄録
内容記述タイプ Abstract
内容記述 One of the fundamental questions in plant developmental biology is how cell proliferation and cell expansion coordinately determine organ growth and morphology. An amenable system to address this question is the Arabidopsis root tip, where cell proliferation and elongation occur in spatially separated domains, and cell morphologies can easily be observed using a confocal microscope. While past studies revealed numerous elements of root growth regulation including gene regulatory networks, hormone transport and signaling, cell mechanics and environmental perception, how cells divide and elongate under possible constraints from cell lineages and neighboring cell files has not been analyzed quantitatively. This is mainly due to the technical difficulties in capturing cell division and elongation dynamics at the tip of growing roots, as well as an extremely labor-intensive task of tracing the lineages of frequently dividing cells. Here, we developed a motion-tracking confocal microscope and an Artificial Intelligence (AI)-assisted image-processing pipeline that enables semi-automated quantification of cell division and elongation dynamics at the tip of vertically growing Arabidopsis roots. We also implemented a data sonification tool that facilitates human recognition of cell division synchrony. Using these tools, we revealed previously unnoted lineage-constrained dynamics of cell division and elongation, and their contribution to the root zonation boundaries.
書誌情報 en : Plant and Cell Physiology

巻 64, 号 11, p. 1262-1278, 発行日 2023-10-17
出版者
出版者 Oxford University Press
ISSN
収録物識別子タイプ EISSN
収録物識別子 1471-9053
出版者版DOI
関連タイプ isReplacedBy
識別子タイプ DOI
関連識別子 https://doi.org/10.1093/pcp/pcad105
出版者版URI
関連タイプ isReplacedBy
識別子タイプ URI
関連識別子 https://academic.oup.com/pcp/article/64/11/1262/7323573
権利
権利情報Resource https://creativecommons.org/licenses/by-nc/4.0/
権利情報 $00A9 The Author(s) 2023. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
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出版タイプ NA
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