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A computational model of nuclear self-organisation in syncytial embryos

Overview of attention for article published in Journal of Theoretical Biology, June 2014
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Article details
Title
A computational model of nuclear self-organisation in syncytial embryos
Published in
Journal of Theoretical Biology, June 2014
DOI 10.1016/j.jtbi.2014.06.001
Pubmed ID
Authors
Abstract

Syncytial embryos develop through cycles of nuclear division and rearrangement within a common cytoplasm. A paradigm example is Drosophila melanogaster in which nuclei form an ordered array in the embryo surface over cell cycles 10-13. This ordering process is assumed to be essential for subsequent cellularization. Using quantitative tissue analysis, it has previously been shown that the regrowth of actin and microtubule networks after nuclear division generate reordering forces that counteract its disordering effect (Kanesaki et al., Integrative Biology 2011). We present here an individual-based computer simulation modelling the nuclear dynamics. In contrast to similar modelling approaches for e.g. epithelial monolayers or tumour spheroids, we focus not on the spatial dependence, but rather on the time-dependence of the interaction laws. We show that appropriate phenomenological inter-nuclear force laws reproduce the experimentally observed dynamics provided that the cytoskeletal network regrows sufficiently quickly after mitosis. Then repulsive forces provided by the actin system are necessary and sufficient to regain the observed level of order in the system, after the strong disruption resulting from cytoskeletal network disassembly and spindle formation. We also observe little mixing of nuclei through cell cycles. Our study highlights the importance of the dynamics of cytoskeletal forces during this critical phase of syncytial development and emphasises the need for real-time experimental data at high temporal resolution.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Mexico 1 2%
United Kingdom 1 2%
France 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Researcher 8 18%
Student > Master 6 13%
Student > Bachelor 5 11%
Student > Doctoral Student 2 4%
Other 5 11%
Unknown 6 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 21 47%
Physics and Astronomy 6 13%
Biochemistry, Genetics and Molecular Biology 3 7%
Mathematics 2 4%
Engineering 2 4%
Other 5 11%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2014.
All research outputs
#23,258,722
of 29,285,890 outputs
Outputs from Journal of Theoretical Biology
#3,155
of 4,174 outputs
Outputs of similar age
#179,637
of 250,117 outputs
Outputs of similar age from Journal of Theoretical Biology
#38
of 65 outputs
Altmetric has tracked 29,285,890 research outputs across all sources so far. This one is in the 17th percentile – i.e., 17% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,174 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,117 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.