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dc.contributor.authorKachalo, Sema
dc.contributor.authorNaveed, Hammad
dc.contributor.authorCao, Youfang
dc.contributor.authorZhao, Jieling
dc.contributor.authorLiang, Jie
dc.date.accessioned2016-08-29T16:39:26Z
dc.date.available2016-08-29T16:39:26Z
dc.date.issued2015-05-14
dc.identifier.bibliographicCitationKachalo, Sëma, Hammad Naveed, Youfang Cao, Jieling Zhao, and Jie Liang. "Mechanical model of geometric cell and topological algorithm for cell dynamics from single-cell to formation of monolayered tissues with pattern." PloS one 10, no. 5 (2015): e0126484. DOI: 10.1371/journal.pone.0126484en_US
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10027/21099
dc.descriptionThis is a copy of an article published in the PLoS ONE. © 2015 Kachalo et al.en_US
dc.description.abstractGeometric and mechanical properties of individual cells and interactions among neighboring cells are the basis of formation of tissue patterns. Understanding the complex interplay of cells is essential for gaining insight into embryogenesis, tissue development, and other emerging behavior. Here we describe a cell model and an efficient geometric algorithm for studying the dynamic process of tissue formation in 2D (e.g. epithelial tissues). Our approach improves upon previous methods by incorporating properties of individual cells as well as detailed description of the dynamic growth process, with all topological changes accounted for. Cell size, shape, and division plane orientation are modeled realistically. In addition, cell birth, cell growth, cell shrinkage, cell death, cell division, cell collision, and cell rearrangements are now fully accounted for. Different models of cell-cell interactions, such as lateral inhibition during the process of growth, can be studied in detail. Cellular pattern formation for monolayered tissues from arbitrary initial conditions, including that of a single cell, can also be studied in detail. Computational efficiency is achieved through the employment of a special data structure that ensures access to neighboring cells in constant time, without additional space requirement. We have successfully generated tissues consisting of more than 20,000 cells starting from 2 cells within 1 hour. We show that our model can be used to study embryogenesis, tissue fusion, and cell apoptosis. We give detailed study of the classical developmental process of bristle formation on the epidermis of D. melanogaster and the fundamental problem of homeostatic size control in epithelial tissues. Simulation results reveal significant roles of solubility of secreted factors in both the bristle formation and the homeostatic control of tissue size. Our method can be used to study broad problems in monolayered tissue formation. Our software is publicly available.en_US
dc.description.sponsorshipThis work was supported by NIH GM079804 and GM086145, NSF DMS-0800257 and DBI 1062328, and the University of Illinois at Chicago Research Open Access Article Publishing (ROAAP) Fund. H.N. was supported by a Fulbright Scholarship and the Higher Education Commission of Pakistan.en_US
dc.language.isoen_USen_US
dc.publisherPublic Library of Scienceen_US
dc.titleMechanical Model of Geometric Cell and Topological Algorithm for Cell Dynamics from Single-Cell to Formation of Monolayered Tissues with Patternen_US
dc.typeArticleen_US


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