Literature DB >> 19855025

Algorithm of myogenic differentiation in higher-order organisms.

Ron Piran1, Einat Halperin, Noga Guttmann-Raviv, Ehud Keinan, Ram Reshef.   

Abstract

Cell fate determination is governed by complex signaling molecules at appropriate concentrations that regulate the cell decision-making process. In vertebrates, however, concentration and kinetic parameters are practically unknown, and therefore the mechanism by which these molecules interact is obscure. In myogenesis, for example, multipotent cells differentiate into skeletal muscle as a result of appropriate interplay between several signaling molecules, which is not sufficiently characterized. Here we demonstrate that treatment of biochemical events with SAT (satisfiability) formalism, which has been primarily applied for solving decision-making problems, can provide a simple conceptual tool for describing the relationship between causes and effects in biological phenomena. Specifically, we applied the Łukasiewicz logic to a diffusible protein system that leads to myogenesis. The creation of an automaton that describes the myogenesis SAT problem has led to a comprehensive overview of this non-trivial phenomenon and also to a hypothesis that was subsequently verified experimentally. This example demonstrates the power of applying Łukasiewicz logic in describing and predicting any decision-making problem in general, and developmental processes in particular.

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Year:  2009        PMID: 19855025     DOI: 10.1242/dev.041764

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  2 in total

1.  SPABBATS: A pathway-discovery method based on Boolean satisfiability that facilitates the characterization of suppressor mutants.

Authors:  Lope A Flórez; Katrin Gunka; Rafael Polanía; Stefan Tholen; Jörg Stülke
Journal:  BMC Syst Biol       Date:  2011-01-11

2.  A Boolean Function for Neural Induction Reveals a Critical Role of Direct Intercellular Interactions in Patterning the Ectoderm of the Ascidian Embryo.

Authors:  Naoyuki Ohta; Kana Waki; Atsushi Mochizuki; Yutaka Satou
Journal:  PLoS Comput Biol       Date:  2015-12-29       Impact factor: 4.475

  2 in total

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