Evidence map›Paper›PMID 36806172›Full record

ArticleNPJ systems biology and applications2023

MorphoSim: an efficient and scalable phase-field framework for accurately simulating multicellular morphologies.

Xiangyu Kuang, Guoye Guan, Chao Tang, Lei Zhang

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Computational models in directed cell migration.Frontiers in cell and developmental biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Delineating the mechanisms and design principles ofComputational and structural biotechnology journal · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiangyu Kuang *Center for Quantitative Biology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-2662-0817
Guoye Guan *Center for Quantitative Biology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-4479-4722
Chao TangCenter for Quantitative Biology, Peking University, Beijing, 100871, China. tangc@pku.edu.cn.
Lei ZhangCenter for Quantitative Biology, Peking University, Beijing, 100871, China. zhangl@math.pku.edu.cn.ORCID http://orcid.org/0000-0001-9972-2051

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12050002National Natural Science Foundation of China (National Science Foundation of China) 12090053National Natural Science Foundation of China (National Science Foundation of China) 12225102National Natural Science Foundation of China (National Science Foundation of China) 32088101
6 · The paper itself

Abstract

The phase field model can accurately simulate the evolution of microstructures with complex morphologies, and it has been widely used for cell modeling in the last two decades. However, compared to other cellular models such as the coarse-grained model and the vertex model, its high computational cost caused by three-dimensional spatial discretization hampered its application and scalability, especially for multicellular organisms. Recently, we built a phase field model coupled with in vivo imaging data to accurately reconstruct the embryonic morphogenesis of Caenorhabditis elegans from 1- to 8-cell stages. In this work, we propose an improved phase field model by using the stabilized numerical scheme and modified volume constriction. Then we present a scalable phase-field framework, MorphoSim, which is 100 times more efficient than the previous one and can simulate over 100 mechanically interacting cells. Finally, we demonstrate how MorphoSim can be successfully applied to reproduce the assembly, self-repairing, and dissociation of a synthetic artificial multicellular system - the synNotch system.

Identifiers

PMID36806172
PMCPMC9938209

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.