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  Topological properties accurately predict cell division events and organization of shoot apical meristem in Arabidopsis thaliana

Matz, T., Wang, Y., Kulshreshtha, R., Sampathkumar, A., & Nikoloski, Z. (2022). Topological properties accurately predict cell division events and organization of shoot apical meristem in Arabidopsis thaliana. Development, 149(16): dev201024. doi:10.1242/dev.201024.

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 Creators:
Matz, T.1, Author           
Wang, Y.2, Author           
Kulshreshtha, Ritika3, Author
Sampathkumar, A.2, Author           
Nikoloski, Z.1, Author           
Affiliations:
1Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310              
2Plant Cell Biology and Microscopy, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_2253647              
3external, ou_persistent22              

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 Abstract: Cell division and the resulting changes to the cell organization affect the shape and functionality of all tissues. Thus, understanding the determinants of the tissue-wide changes imposed by cell division is a key question in developmental biology. Here, we use a network representation of live cell imaging data from shoot apical meristems (SAMs) in Arabidopsis thaliana to predict cell division events and their consequences at the tissue level. We show that a support vector machine classifier based on the SAM network properties is predictive of cell division events, with test accuracy of 76%, which matches that based on cell size alone. Furthermore, we demonstrate that the combination of topological and biological properties, including cell size, perimeter, distance and shared cell wall between cells, can further boost the prediction accuracy of resulting changes in topology triggered by cell division. Using our classifiers, we demonstrate the importance of microtubule-mediated cell-to-cell growth coordination in influencing tissue-level topology. Together, the results from our network-based analysis demonstrate a feedback mechanism between tissue topology and cell division in A. thaliana SAMs.

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Language(s): eng - English
 Dates: 2022-08-162022-08-16
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1242/dev.201024
 Degree: -

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Title: Development
  Other : Development
Source Genre: Journal
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Publ. Info: Cambridge, Cambridgeshire : Company of Biologists
Pages: dev201024 Volume / Issue: 149 (16) Sequence Number: dev201024 Start / End Page: - Identifier: ISSN: 0950-1991
CoNE: https://pure.mpg.de/cone/journals/resource/954927546241