scholarly journals Mathematical models of radiation action on living cells: From the target theory to the modern approaches. A historical and critical review

2016 ◽  
Vol 394 ◽  
pp. 93-101 ◽  
Author(s):  
Larry Bodgi ◽  
Aurélien Canet ◽  
Laurent Pujo-Menjouet ◽  
Annick Lesne ◽  
Jean-Marc Victor ◽  
...  
2017 ◽  
Author(s):  
Loic Fort ◽  
Jose Batista ◽  
Peter Thomason ◽  
Heather J. Spence ◽  
Jennifer Greaves ◽  
...  

AbstractActin-based protrusions driving cell migration are reinforced through positive feedback, but it is unclear how the cell restricts the eventual size of a protrusion or limits positive signals to cause splitting or retraction. We have identified an evolutionarily conserved regulator of the protrusion machinery, which we name CYRI (CYFIP-related Rac interacting) protein. CYRI shows sequence similarity to the Scar/WAVE complex member CYFIP in a Domain of Unknown Function, DUF1394. CYRI binds specifically to activated Rac1 via a common motif shared with CYFIP, establishing DUF1394 as a new Rac1 binding domain. CYRI-depleted cells have broad, Scar/WAVE-enriched lamellipodia and enhanced Rac1 signaling. Conversely, CYRI overexpression suppresses spreading and dramatically sharpens protrusions into unproductive needles. CYRI proteins use dynamic inhibition of Scar/WAVE induced actin to focus positive protrusion signals and regulate pseudopod complexity. CYRI behaves like a “local inhibitor” predicted and described in widely accepted mathematical models, but not previously identified in living cells.


Author(s):  
Luigia Binda ◽  
Giuliana Cardani

A methodology of investigation and diagnosis on the built patrimony of historic centres in seismic areas is presented with the aim of collecting an extensive knowledge on the structural typologies and behaviour of historic masonry buildings. This investigation is also the base for the prevention and/or repair of damages caused by earthquakes. Small historic centres or residential buildings in larger centres have been considered for long time as “minor architecture”, but they are meaningful testimonies of the local cultural heritage and express the evolution of a society and of its cultural identity. The results of the investigation carried out on different Italian historic centers, allowed also a critical review of the reliability of the analytical models and of the effectiveness of the repair techniques applied in the past decades. The guidelines emerging from the research results are here presented. A “minimal” diagnostic investigation program is also suggested, in order to support the designers in their projects and to set up appropriate mathematical models to study the vulnerability of the structures.


1983 ◽  
Vol 244 (6) ◽  
pp. G573-G577
Author(s):  
E. L. Forker ◽  
B. A. Luxon

This paper is devoted to a discussion of recent developments in the compartmental analysis of hepatic transport, especially the interpretation of tracer disappearance curves recorded from the reservoir of an isolated perfused liver preparation. The emphasis is on the advantages that this approach enjoys over other mathematical models, and a critical review of alternative methods is therefore included. The mathematical equations are largely suppressed, however, having appeared elsewhere in detail.


2020 ◽  
Author(s):  
Wang Jin ◽  
Loredana Spoerri ◽  
Nikolas K. Haass ◽  
Matthew J. Simpson

AbstractThree-dimensional (3D) in vitro tumour spheroid experiments are an important tool for studying cancer progression and potential drug therapies. Standard experiments involve growing and imaging spheroids to explore how different experimental conditions lead to different rates of spheroid growth. These kinds of experiments, however, do not reveal any information about the spatial distribution of the cell cycle within the expanding spheroid. Since 2008, a new experimental technology called fluorescent ubiquitination-based cell cycle indicator (FUCCI), has enabled real time in situ visualisation of the cell cycle progression. FUCCI labelling involves cells in G1 phase of the cell cycle fluorescing red, and cells in the S/G2/M phase of the cell cycle fluorescing green. Experimental observations of 3D tumour spheroids with FUCCI labelling reveal significant intratumoural structure, as the cell cycle status can vary with location. Although many mathematical models of tumour spheroid growth have been developed, none of the existing mathematical models are designed to interpret experimental observations with FUCCI labelling. In this work we extend the mathematical framework originally proposed by Ward and King (1997) to develop a new mathematical model of FUCCI-labelled tumour spheroid growth. The mathematical model treats the spheroid as being composed of three subpopulations: (i) living cells in G1 phase that fluoresce red; (ii) living cells in S/G2/M phase that fluoresce green; and, (iii) dead cells that do not fluoresce. We assume that the rates at which cells pass through different phases of the cell cycle, and the rate of cell death, depend upon the local oxygen concentration in the spheroid. Parameterising the new mathematical model using experimental measurements of cell cycle transition times, we show that the model can capture important experimental observations that cannot be addressed using previous mathematical models. Further, we show that the mathematical model can be used to quantitatively mimic the action of anti-mitotic drugs applied to the spheroid. All software required to solve the nonlinear moving boundary problem associated with the new mathematical model are available on GitHub.


2021 ◽  
Vol 10 (10) ◽  
pp. 2169
Author(s):  
Jacopo Falco ◽  
Abramo Agosti ◽  
Ignazio G. Vetrano ◽  
Alberto Bizzi ◽  
Francesco Restelli ◽  
...  

Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the prognosis is poor. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with the aim of tailoring therapeutic weapons. In particular, the ultimate goal of biomathematics for cancer is the identification of the most suitable theoretical models and simulation tools, both to describe the biological complexity of carcinogenesis and to predict tumor evolution. In this report, we describe the results of a critical review about different mathematical models in neuro-oncology with their clinical implications. A comprehensive literature search and review for English-language articles concerning mathematical modelling in glioblastoma has been conducted. The review explored the different proposed models, classifying them and indicating the significative advances of each one. Furthermore, we present a specific case of a glioblastoma patient in which our recently proposed innovative mechanical model has been applied. The results of the mathematical models have the potential to provide a relevant benefit for clinicians and, more importantly, they might drive progress towards improving tumor control and patient’s prognosis. Further prospective comparative trials, however, are still necessary to prove the impact of mathematical neuro-oncology in clinical practice.


2007 ◽  
Vol 11 (3) ◽  
pp. 148-156 ◽  
Author(s):  
A. Gundel ◽  
K. Marsalek ◽  
C. ten Thoren

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