scholarly journals Pulses and waves of contractility

2017 ◽  
Vol 216 (12) ◽  
pp. 3899-3901 ◽  
Author(s):  
Min Wu
Keyword(s):  
Signal Transduction ◽  
Signaling Networks ◽  
Adherent Cells ◽  
Cell Contractility ◽  
Cell Biol ◽  
Signal Transduction Networks

The nature of signal transduction networks in the regulation of cell contractility is not entirely clear. In this study, Graessl et al. (2017. J. Cell Biol. https://doi.org/10.1083/jcb.201706052) visualized and characterized pulses and waves of Rho activation in adherent cells and proposed excitable Rho signaling networks underlying cell contractility.

scholarly journals Computing Signal Transduction in Signaling Networks modeled as Boolean Networks, Petri Nets, and Hypergraphs

2018 ◽  
Author(s):  
Luis Sordo Vieira ◽  
Paola Vera-Licona
Keyword(s):  
Signal Transduction ◽  
Petri Nets ◽  
Intracellular Signaling ◽  
Incidence Matrix ◽  
Boolean Networks ◽  
Signaling Network ◽  
Signaling Networks ◽  
Signal Transduction Networks ◽  
Elementary Modes ◽  
Simple Paths

AbstractMathematical frameworks circumventing the need of mechanistic detail to build models of signal transduction networks include graphs, hypergraphs, Boolean Networks, and Petri Nets. Predicting how a signal transduces in a signaling network is essential to understand cellular functions and disease. Different formalisms exist to describe how a signal transduces in a given intracellular signaling network represented in the aforementioned modeling frameworks: elementary signaling modes, T-invariants, extreme pathway analysis, elementary flux modes, and simple paths. How do these formalisms compare?We present an overview of how signal transduction networks have been modelled using graphs, hypergraphs, Boolean Networks, and Petri Nets in the literature. We provide a review of the different formalisms for capturing signal transduction in a given model of an intracellular signaling network. We also discuss the existing translations between the different modeling frameworks, and the relationships between their corresponding signal transduction representations that have been described in the literature. Furthermore, as a new formalism of signal transduction, we show how minimal functional routes proposed for signaling networks modeled as Boolean Networks can be captured by computing topological factories, a methodology found in the metabolic networks literature. We further show that in the case of signaling networks represented with an acyclic B-hypergraph structure, the definitions are equivalent. In signaling networks represented as directed graphs, it has been shown that computations of elementary modes via its incidence matrix correspond to computations of simple paths and feedback loops. We show that computing elementary modes based on the incidence matrix of a B-hypergraph fails to capture minimal functional routes.

scholarly journals The Multifaceted Roles of USP15 in Signal Transduction

2021 ◽  
Vol 22 (9) ◽  
pp. 4728
Author(s):  
Tanuza Das ◽  
Eun Joo Song ◽  
Eunice EunKyeong Kim
Keyword(s):  
Signal Transduction ◽  
Signaling Pathways ◽  
Cellular Networks ◽  
Clinical Applications ◽  
Regulatory Mechanisms ◽  
Signaling Networks ◽  
Post Translational Modification ◽  
Comprehensive Overview ◽  
E3 Ligases ◽  
Disease Markers

Ubiquitination and deubiquitination are protein post-translational modification processes that have been recognized as crucial mediators of many complex cellular networks, including maintaining ubiquitin homeostasis, controlling protein stability, and regulating several signaling pathways. Therefore, some of the enzymes involved in ubiquitination and deubiquitination, particularly E3 ligases and deubiquitinases, have attracted attention for drug discovery. Here, we review recent findings on USP15, one of the deubiquitinases, which regulates diverse signaling pathways by deubiquitinating vital target proteins. Even though several basic previous studies have uncovered the versatile roles of USP15 in different signaling networks, those have not yet been systematically and specifically reviewed, which can provide important information about possible disease markers and clinical applications. This review will provide a comprehensive overview of our current understanding of the regulatory mechanisms of USP15 on different signaling pathways for which dynamic reverse ubiquitination is a key regulator.

scholarly journals Glial SIK3: A central player in ion and volume homeostasis in Drosophila peripheral nerves

2019 ◽  
Vol 218 (12) ◽  
pp. 3888-3889
Author(s):  
Uri Kahanovitch ◽  
Michelle L. Olsen
Keyword(s):  
Signal Transduction ◽  
Electrical Properties ◽  
Peripheral Nerves ◽  
Neuronal Cells ◽  
Extracellular Fluid ◽  
Cell Biol

The electrical properties of neuronal cells rely on gradients of ions across their membranes and the extracellular fluid (ECF) in which they are bathed. Little is known regarding how the ECF volume and content is maintained. In this issue, Li et al. (2019. J. Cell Biol. https://doi.org/10.1083/jcb.201907138) identify the kinase SIK3 in glia as a key signal transduction regulator in ion and volume homeostasis in Drosophila peripheral nerves.

Traction cytometry: regularization in the Fourier approach and comparisons with finite element method

Soft Matter ◽  
2018 ◽  
Vol 14 (23) ◽  
pp. 4687-4695 ◽  
Author(s):  
Ankur H. Kulkarni ◽  
Prasenjit Ghosh ◽  
Ashwin Seetharaman ◽  
Paturu Kondaiah ◽  
Namrata Gundiah
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Adherent Cells ◽  
Traction Forces ◽  
Cell Contractility ◽  
Element Method

Traction forces exerted by adherent cells are quantified using displacements of embedded markers on polyacrylamide substrates due to cell contractility.

scholarly journals Emergent decision-making in biological signal transduction networks

2008 ◽  
Vol 105 (6) ◽  
pp. 1913-1918 ◽  
Author(s):  
T. Helikar ◽  
J. Konvalina ◽  
J. Heidel ◽  
J. A. Rogers
Keyword(s):  
Signal Transduction ◽  
Decision Making ◽  
Biological Signal ◽  
Signal Transduction Networks
Sign in / Sign up

Export Citation Format

Share Document