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Dynamics of multicellular swirling on micropatterned substrates.
Li, Xi; Chen, Bin.
Affiliation
  • Li X; Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, People's Republic of China.
  • Chen B; Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, People's Republic of China.
Proc Natl Acad Sci U S A ; 121(26): e2400804121, 2024 Jun 25.
Article in En | MEDLINE | ID: mdl-38900800
ABSTRACT
Chirality plays a crucial role in biology, as it is highly conserved and fundamentally important in the developmental process. To better understand the relationship between the chirality of individual cells and that of tissues and organisms, we develop a generalized mechanics model of chiral polarized particles to investigate the swirling dynamics of cell populations on substrates. Our analysis reveals that cells with the same chirality can form distinct chiral patterns on ring-shaped or rectangular substrates. Interestingly, our studies indicate that an excessively strong or weak individual cellular chirality hinders the formation of such chiral patterns. Our studies also indicate that there exists the influence distance of substrate boundaries in chiral patterns. Smaller influence distances are observed when cell-cell interactions are weaker. Conversely, when cell-cell interactions are too strong, multiple cells tend to be stacked together, preventing the formation of chiral patterns on substrates in our analysis. Additionally, we demonstrate that the interaction between cells and substrate boundaries effectively controls the chiral distribution of cellular orientations on ring-shaped substrates. This research highlights the significance of coordinating boundary features, individual cellular chirality, and cell-cell interactions in governing the chiral movement of cell populations and provides valuable mechanics insights into comprehending the intricate connection between the chirality of single cells and that of tissues and organisms.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Communication / Models, Biological Language: En Journal: Proc Natl Acad Sci U S A Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Communication / Models, Biological Language: En Journal: Proc Natl Acad Sci U S A Year: 2024 Document type: Article Country of publication: