Size scaling in collective cell growth
| Autor: | Tomer Stern, Rocky Diegmiller, Caroline A. Doherty, Jasmin Imran Alsous, Stanislav Y. Shvartsman |
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| Rok vydání: | 2021 |
| Předmět: |
Organelles
Cell growth Diptera Supervised learning Biology Biological Evolution Imaging data Developmental dynamics Multicellular organism Germ Cells Oogenesis Techniques and Resources Evolutionary biology Animals Allometry Molecular Biology Differential growth Scaling Cell Proliferation Developmental Biology |
| Zdroj: | Development |
| ISSN: | 1477-9129 0950-1991 |
| Popis: | Size is a fundamental feature of living entities and is intimately tied to their function. Scaling laws, which can be traced to D'Arcy Thompson and Julian Huxley, have emerged as a powerful tool for studying regulation of the growth dynamics of organisms and their constituent parts. Yet throughout the 20th century, as scaling laws were established for single cells, quantitative studies of the coordinated growth of multicellular structures have lagged, largely due to technical challenges associated with imaging and image processing. Here, we present a supervised learning approach for quantifying the growth dynamics of germline cysts during oogenesis. Our analysis uncovers growth patterns induced by the groupwise developmental dynamics among connected cells, and differential growth rates of their organelles. We also identify inter-organelle volumetric scaling laws, finding that nurse cell growth is linear over several orders of magnitude. Our approach leverages the ever increasing quantity and quality of imaging data, and is readily amenable for studies of collective cell growth in other developmental contexts, including early mammalian embryogenesis and germline development. |
| Databáze: | OpenAIRE |
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