Literature DB >> 27838280

Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells.

Morten Gram Pedersen1, Alessia Tagliavini2, Giuliana Cortese3, Michela Riz4, Francesco Montefusco2.   

Abstract

Most endocrine cells secrete hormones as a result of Ca2+-regulated exocytosis, i.e., fusion of the membranes of hormone-containing secretory granules with the cell membrane, which allows the hormone molecules to escape to the extracellular space. As in neurons, electrical activity and cell depolarization open voltage-sensitive Ca2+ channels, and the resulting Ca2+ influx elevate the intracellular Ca2+ concentration, which in turn causes exocytosis. Whereas the main molecular components involved in exocytosis are increasingly well understood, quantitative understanding of the dynamical aspects of exocytosis is still lacking. Due to the nontrivial spatiotemporal Ca2+ dynamics, which depends on the particular pattern of electrical activity as well as Ca2+ channel kinetics, exocytosis is dependent on the spatial arrangement of Ca2+ channels and secretory granules. For example, the creation of local Ca2+ microdomains, where the Ca2+ concentration reaches tens of µM, are believed to be important for triggering exocytosis. Spatiotemporal simulations of buffered Ca2+ diffusion have provided important insight into the interplay between electrical activity, Ca2+ channel kinetics, and the location of granules and Ca2+ channels. By confronting simulations with statistical time-to-event (or survival) regression analysis of single granule exocytosis monitored with TIRF microscopy, a direct connection between location and rate of exocytosis can be obtained at the local, single-granule level. To get insight into whole-cell secretion, simplifications of the full spatiotemporal dynamics have shown to be highly helpful. Here, we provide an overview of recent approaches and results for quantitative analysis of Ca2+ regulated exocytosis of hormone-containing granules.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ca microdomains; Hormone secretion; Large dense-core vesicles; Mixed-effects modeling; Pituitary cells; Secretory granules; Spatiotemporal Ca dynamics; Survival analysis; α-cells; β-cells

Mesh:

Year:  2016        PMID: 27838280     DOI: 10.1016/j.mbs.2016.11.010

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  2 in total

1.  From Local to Global Modeling for Characterizing Calcium Dynamics and Their Effects on Electrical Activity and Exocytosis in Excitable Cells.

Authors:  Francesco Montefusco; Morten G Pedersen
Journal:  Int J Mol Sci       Date:  2019-11-30       Impact factor: 5.923

2.  Deciphering the Role of Wnt and Rho Signaling Pathway in iPSC-Derived ARVC Cardiomyocytes by In Silico Mathematical Modeling.

Authors:  Elvira Immacolata Parrotta; Anna Procopio; Stefania Scalise; Claudia Esposito; Giovanni Nicoletta; Gianluca Santamaria; Maria Teresa De Angelis; Tatjana Dorn; Alessandra Moretti; Karl-Ludwig Laugwitz; Francesco Montefusco; Carlo Cosentino; Giovanni Cuda
Journal:  Int J Mol Sci       Date:  2021-02-18       Impact factor: 5.923

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.