Progress towards quantitative design principles of multicellular systems
Eduardo P. Olimpio, Diego R. Gomez-Alvarez, Hyun Youk

TL;DR
This paper reviews recent progress in identifying quantitative design principles of multicellular systems, aiming to simplify their complexity through shared frameworks and unifying concepts.
Contribution
It synthesizes recent advances in developing conceptual frameworks that reveal common design principles in multicellular systems.
Findings
Identification of potential unifying quantitative principles
Development of simplified models for multicellular interactions
Progress in understanding communication mechanisms among cells
Abstract
Living systems, particularly multicellular systems, often seem hopelessly complex. But recent studies have suggested that beneath this complexity, there may be unifying quantitative principles that we are only now starting to unravel. All cells interact with their environments and with other cells. Communication among cells is a primary means for cells to interact with each other. The complexity of these multicellular systems, due to the large numbers of cells and the diversity of intracellular and intercellular interactions, makes understanding multicellular systems a daunting task. To overcome this challenge, we will likely need judicious simplifications and conceptual frameworks that can reveal design principles that are shared among diverse multicellular systems. Here we review some recent progress towards developing such frameworks.
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Taxonomy
TopicsModular Robots and Swarm Intelligence
