Enhanced Waddington landscape model with cell–cell communication can explain molecular mechanisms of self-organization
Author(s) -
Hosein Fooladi,
Parsa Moradi,
Ali SharifiZarchi,
Babak Hosein Khalaj
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz201
Subject(s) - multicellular organism , gastrulation , in silico , biology , embryonic stem cell , germ layer , epigenetics , computational biology , self organization , computer science , pattern formation , developmental biology , mechanism (biology) , microbiology and biotechnology , variety (cybernetics) , neuroscience , cell , embryo , artificial intelligence , embryogenesis , genetics , ecology , physics , induced pluripotent stem cell , quantum mechanics , gene
The molecular mechanisms of self-organization that orchestrate embryonic cells to create astonishing patterns have been among major questions of developmental biology. It is recently shown that embryonic stem cells (ESCs), when cultured in particular micropatterns, can self-organize and mimic the early steps of pre-implantation embryogenesis. A systems-biology model to address this observation from a dynamical systems perspective is essential and can enhance understanding of the phenomenon.
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