Microenvironmental entropy dynamics analysis reveals novel insights into Notch-Delta-Jagged decision-making mechanism
Year: 2024
Type: article
Abstract: Notch-Delta-Jagged (NDJ) signaling among neighboring cells contributes crucially to spatiotemporal pattern formation and developmental decision-making. Despite numerous detailed mathematical models, their high-dimensionality parametric space limits analytical treatment, especially regarding local microenvironmental fluctuations. Using the low-dimensional dynamics of the recently postulated least microenvironmental uncertainty principle (LEUP) framework, we showcase how the LEUP formalism recapitulates a noisy NDJ spatial patterning. Our LEUP simulations show that local phenotypic entropy increases for lateral inhibition but decreases for lateral induction. This distinction allows us to identify a critical parameter that captures the transition from a Notch-Delta-driven lateral inhibition to a Notch-Jagged-driven lateral induction phenomenon and suggests random phenotypic patterning in the case of lack of dominance of either Notch-Delta or Notch-Jagged signaling. Our results enable an analytical treatment to map the high-dimensional dynamics of NDJ signaling on tissue-level patterning and can possibly be generalized to decode operating principles of collective cellular decision-making.
Source: iScience
Authors: Aditi Ajith Pujar, Arnab Barua, Partha Sarathi Dey, Divyoj Singh, Ushasi Roy, Mohit Kumar Jolly, Haralampos Hatzikirou
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,150
Funders: Indian Institute of Science, Al Jalila Foundation, Department of Science and Technology, Ministry of Science and Technology, India, Volkswagen Foundation, Bundesministerium für Bildung und Forschung, Khalifa University of Science, Technology and Research, National Institutes of Health, Science and Engineering Research Board
OpenAlex ID: W4401820290