A novel combinatorial approach of quantitative microscopy and in silico modeling deciphers Arf1-dependent Golgi size regulation

• Published in: The European physical journal. E, Soft matter and biological physics Vol. 42; no. 12; p. 154
• Main Authors: Iyer, Prasanna, Sutradhar, Sabyasachi, Paul, Raja, Bhattacharyya, Dibyendu
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2019; Springer Nature B.V
• Subjects: ADP-Ribosylation Factor 1 - metabolism; Biological and Medical Physics; Biophysics; Combinatorial analysis; Complex Fluids and Microfluidics; Complex Systems; Computer Simulation; Condensed matter physics; Fluorescence; Golgi Apparatus - metabolism; Microscopy; Models, Biological; Nanotechnology; Organelle Size; Physics; Physics and Astronomy; Polymer Sciences; Regular Article; Regulators; Saccharomyces cerevisiae - cytology; Soft and Granular Matter; Surfaces and Interfaces; Thin Films; Yeast; Living systems: Cellular Processes
• ISSN: 1292-8941; 1292-895X; 1292-895X
• DOI: 10.1140/epje/i2019-11920-x

. Regulation of organelle size and shape is a poorly understood but fascinating subject. Several theoretical studies were reported on Golgi size regulation, but a combination of experimental and theoretical approaches is rare. In combination with the quantitative microscopy and a coarse-grained simulation model, we have developed a technique to gain insights into the functions of potential regulators of Golgi size in budding yeast Saccharomyces cerevisiae . To validate our method, we tested wild-type and arf1 Δ strain harboring early and late Golgi cisternae labeled with green and red fluorescent fusions. Our concentration-dependent maturation model prediction concurs with most of the experimental results for both wild-type and arf1 Δ strains. Decisive match of simulation and experimental data provide insight into such specific factor's function in regulating the Golgi size. Details of the complex multifactorial network of Golgi size regulation can be deciphered in the future using a similar combination of quantitative microscopy and in silico model. Graphical abstract