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==1 Title, abstract and keywords==
+
==Abstract==
  
Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
+
Cell migration is a fundamental element in a variety of physiological and
 +
pathological processes. Alteration of its regulatory mechanisms leads to loss of
 +
cellular adhesion and increased motility, which are critical steps in the initial
 +
stages of metastasis, before a malignant cell colonizes a distant tissue or organ.
 +
Consequently, cell migration has become the focus of intensive experimental
 +
and theoretical studies; however the understanding of many of its mechanism
 +
remains elusive. Cell migration is the result of a periodic sequence of
 +
protrusion, adhesion remodeling and contraction stages that leads to directed
 +
movement of cells towards external stimuli. The spatio-temporal coordination
 +
of these processes depends on the di erential activation of the signaling networks
 +
that regulate them at specific subcellular locations. Particularly, proteins
 +
from the family of small RhoGTPases play a central role in establishing cell
 +
polarization, setting the direction of migration, regulating the formation of adhesion
 +
sites and the generation of the forces that drive motion.
  
Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
+
Theoretical models based on an independent description of these processes
 +
have a limited capacity to predict cellular behavior observed in vitro, since their
 +
functionality depends intrinsically on the cross-regulation between their signaling
 +
pathways. This thesis presents a model of cell migration that integrates
 +
a description of force generation and cell deformation, adhesion site dynamics
 +
and RhoGTPases activation. The cell is modeled as a viscoelastic body capable
 +
of developing active traction and protrusion forces. The magnitude of stresses
 +
is determined by the activation level of the RhoGTPases, whose distribution
 +
in the cell body is described by a set of reaction-di usion equations. Adhesion
 +
sites are modeled as punctual clusters of transmembrane receptors that
 +
dynamically bind and unbind the extracellular matrix depending on the force
 +
transmitted to them and the distance with ligands on the substrate.
  
An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself.
+
Onthe theoretical level, the major findings concern the relationship between
 +
the topology of a crosstalk scheme and the properties, as defined in [1], inherited by the associated reaction network as a gradient sensing and regulatory
 +
system: persistent and transient polarization triggered by external gradients,
 +
adaptation to uniform stimulus, reversible polarization, multi-stimuli response
 +
and amplification. This leads to models that remain functional against the biological
 +
diversity associated to di erent cell types and matches the observed cell
 +
behaviour in Chemotaxis essays [2, 3, 4, 5]: the capacity of cells to amplify gradients,
 +
polarize without featuring Turing patterns of activation, and switch the
 +
polarization axis and the direction of migration after the source of the external
 +
stimulus is changed. The RhoGTPase model, derived on theoretical premises,
 +
challenges a long held view on the mechanisms of RhoGTPase crosstalk and
 +
suggests that the role of GDIs, GEFs and GAPs has to be revised. Recent
 +
experimental evidence supports this idea[6].  
  
==2 The main text==
+
In addition, the model allows
 +
to recapitulate a continuous transition between the tear-like shape adopted
 +
by neutrophiles and the fan-like shape of keratocytes during migration [7] by
 +
varying the relative magnitudes of protrusion and contraction forces or, alternatively,
 +
the strength of RhoGTPase Crosstalk. The second mechanism represents
 +
a novel explanation of the di erent morphologies observed in migrating cells.
 +
Di erences in RhoGTPase crosstalk strength could be mediated by di erences
 +
between the activity or concentration of GEFs, GAPs and GDIs in di erent cell
 +
types; an idea that can be explored experimentally.
  
You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.
 
  
Most of the documents in Scipedia are written in English (write your manuscript in American or British English, but not a mixture of these). Anyhow, specific publications in other languages can be published in Scipedia. In any case, the documents published in other languages must have an abstract written in English.
+
On cell mechanosensing, a new hypothesis based on a simple physical principle
 +
is proposed as the mechanism that might explain the universal preference
 +
of cells (bar neurons) to migrate along sti ness gradients. The theory provides
 +
a simple unifying explanation to a number of recent observations on force development
 +
and growth in real time at cell Focal adhesions [8, 9, 10, 11]. The
 +
apparently conflicting results have been attributed to the di erences in experimental
 +
set-ups and cell types used, and have fueled a longstanding controversy
 +
on how cells prove the mechanical properties of the extra-cellular matrix. The
 +
predictions of the theory recapitulate these experimental observations, and its
 +
founding hypothesis can be tested experimentally. This hypothesis directly
 +
suggests the mechanism that could explain the preference of cells to migrate
 +
along sti ness gradients, and for the first time, a plausible biological function
 +
for its existence. This phenomenon is known as Durotaxis, and its abnormal
 +
regulation has been associated to the malignant behaviour of cancer cells.
  
===2.1 Subsections===
 
  
Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1, 1.2, etc. and then 1.1.1, 1.1.2, ... Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Capitalize the first word of the headings.
+
<pdf>Media:Draft_Samper_617655499_7553_M144.pdf</pdf>
  
===2.2 General guidelines===
+
==References==
  
Some general guidelines that should be followed in your manuscripts are:
+
See pdf document
 
+
:*  Avoid hyphenation at the end of a line.
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+
:*  Symbols denoting vectors and matrices should be indicated in bold type. Scalar variable names should normally be expressed using italics.
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:*  Use decimal points (not commas); use a space for thousands (10 000 and above).
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:*  Follow internationally accepted rules and conventions. In particular use the international system of units (SI). If other quantities are mentioned, give their equivalent in SI.
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===2.3 Tables, figures, lists and equations===
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Please insert tables as editable text and not as images. Tables should be placed next to the relevant text in the article. Number tables consecutively in accordance with their appearance in the text (<span id='cite-_Ref382560620'></span>[[#_Ref382560620|table 1]], table 2, etc.) and place any table notes below the table body. Be sparing in the use of tables and ensure that the data presented in them do not duplicate results described elsewhere in the article.
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<span id='_Ref382560620'></span>
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{| style="margin: 1em auto 1em auto;border: 1pt solid black;border-collapse: collapse;"
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|-
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| style="text-align: center;"|Thickness
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| style="text-align: center;"|3.175 mm
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|-
+
| style="text-align: center;"|Young Modulus
+
| style="text-align: center;"|12.74 MPa
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|-
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| style="text-align: center;"|Poisson coefficient
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| style="text-align: center;"|0.25
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|-
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| style="text-align: center;"|Density
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| style="text-align: center;"|1107 kg/m<sup>3</sup>
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|}
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">
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<span style="text-align: center; font-size: 75%;">Table 1: Material properties</span></div>
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Graphics may be inserted directly in the document and positioned as they should appear in the final manuscript.
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<span id='_Ref448852946'></span>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">
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[[Image:Scipedia.gif|center|480px]]
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</div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">
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<span style="text-align: center; font-size: 75%;">Figure 1. Scipedia logo.</span></div>
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Number the figures according to their sequence in the text (<span id='cite-_Ref448852946'></span>[[#_Ref448852946|figure 1]], figure 2, etc.). Ensure that each illustration has a caption. A caption should comprise a brief title. Keep text in the illustrations themselves to a minimum but explain all symbols and abbreviations used. Try to keep the resolution of the figures to a minimum of 300 dpi. If a finer resolution is required, the figure can be inserted as supplementary material
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For tabular summations that do not deserve to be presented as a table, lists are often used. Lists may be either numbered or bulleted. Below you see examples of both.
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1. The first entry in this list
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2. The second entry
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2.1. A subentry
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3. The last entry
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* A bulleted list item
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* Another one
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You may choose to number equations for easy referencing. In that case they must be numbered consecutively with Arabic numerals in parentheses on the right hand side of the page. Below is an example of formulae that should be referenced as eq. <span id='cite-_Ref424030152'></span>[[#_Ref424030152|(1)]].
+
 
+
{| style="width: 100%;"
+
|-
+
| style="vertical-align: top;"| <math>{\nabla }^{2}\phi =0</math>
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| style="text-align: right;"|<span id='_Ref424030152'></span>
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(1)
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|}
+
 
+
===2.4 Supplementary material===
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Supplementary material can be inserted to support and enhance your article. This includes video material, animation sequences, background datasets, computational models, sound clips and more. In order to ensure that your material is directly usable, please provide the files with a preferred maximum size of 50 MB. Please supply a concise and descriptive caption for each file.
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==3 Bibliography==
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<span id='_Ref449344604'></span>
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Citations in text will follow a citation-sequence system (i.e. sources are numbered by order of reference so that the first reference cited in the document is [<span id='cite-1'></span>[[#1|1]]], the second [<span id='cite-2'></span>[[#2|2]]], and so on) with the number of the reference in square brackets. Once a source has been cited, the same number is used in all subsequent references. If the numbers are not in a continuous sequence, use commas (with no spaces) between numbers. If you have more than two numbers in a continuous sequence, use the first and last number of the sequence joined by a hyphen (e.g. [<span id='cite-1'></span>[[#1|1]], <span id='cite-3'></span>[[#3|3]]] or [<span id='cite-2'></span>[[#2|2]]-<span id='cite-2'></span>[[#4|4]]]).
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<span id='_Ref449084254'></span>
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You should ensure that all references are cited in the text and that the reference list. References should preferably refer to documents published in Scipedia. Unpublished results should not be included in the reference list, but can be mentioned in the text. The reference data must be updated once publication is ready. Complete bibliographic information for all cited references must be given following the standards in the field (IEEE and ISO 690 standards are recommended). If possible, a hyperlink to the referenced publication should be given. See examples for Scipedia’s articles [<span id='cite-1'></span>[[#1|1]]], other publication articles [<span id='cite-2'></span>[[#2|2]]], books [<span id='cite-3'></span>[[#3|3]]], book chapter [<span id='cite-4'></span>[[#4|4]]], conference proceedings [<span id='cite-5'></span>[[#5|5]]], and online documents [<span id='cite-6'></span>[[#6|6]]], shown in references section below.
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+
==4 Acknowledgments==
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Acknowledgments should be inserted at the end of the document, before the references section.
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==5 References==
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<span id='_Ref449083719'></span>
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[[#cite-3|[3]]] Author, C. (Year). Title of work: Subtitle (edition.). Volume(s). Place of publication: Publisher.
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[[#cite-4|[4]]] Author of Part, D. (Year). Title of chapter or part. In A. Editor & B. Editor (Eds.), Title: Subtitle of book (edition, inclusive page numbers). Place of publication: Publisher.
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[[#cite-6|[6]]] Institution or author. Title of the document. Year. [Online] (Date consulted: day, month and year). Available: [http://www.scipedia.com/document.pdf http://www.scipedia.com/document.pdf]. [Accessed day, month and year].
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Latest revision as of 09:50, 25 October 2017

Abstract

Cell migration is a fundamental element in a variety of physiological and pathological processes. Alteration of its regulatory mechanisms leads to loss of cellular adhesion and increased motility, which are critical steps in the initial stages of metastasis, before a malignant cell colonizes a distant tissue or organ. Consequently, cell migration has become the focus of intensive experimental and theoretical studies; however the understanding of many of its mechanism remains elusive. Cell migration is the result of a periodic sequence of protrusion, adhesion remodeling and contraction stages that leads to directed movement of cells towards external stimuli. The spatio-temporal coordination of these processes depends on the di erential activation of the signaling networks that regulate them at specific subcellular locations. Particularly, proteins from the family of small RhoGTPases play a central role in establishing cell polarization, setting the direction of migration, regulating the formation of adhesion sites and the generation of the forces that drive motion.

Theoretical models based on an independent description of these processes have a limited capacity to predict cellular behavior observed in vitro, since their functionality depends intrinsically on the cross-regulation between their signaling pathways. This thesis presents a model of cell migration that integrates a description of force generation and cell deformation, adhesion site dynamics and RhoGTPases activation. The cell is modeled as a viscoelastic body capable of developing active traction and protrusion forces. The magnitude of stresses is determined by the activation level of the RhoGTPases, whose distribution in the cell body is described by a set of reaction-di usion equations. Adhesion sites are modeled as punctual clusters of transmembrane receptors that dynamically bind and unbind the extracellular matrix depending on the force transmitted to them and the distance with ligands on the substrate.

Onthe theoretical level, the major findings concern the relationship between the topology of a crosstalk scheme and the properties, as defined in [1], inherited by the associated reaction network as a gradient sensing and regulatory system: persistent and transient polarization triggered by external gradients, adaptation to uniform stimulus, reversible polarization, multi-stimuli response and amplification. This leads to models that remain functional against the biological diversity associated to di erent cell types and matches the observed cell behaviour in Chemotaxis essays [2, 3, 4, 5]: the capacity of cells to amplify gradients, polarize without featuring Turing patterns of activation, and switch the polarization axis and the direction of migration after the source of the external stimulus is changed. The RhoGTPase model, derived on theoretical premises, challenges a long held view on the mechanisms of RhoGTPase crosstalk and suggests that the role of GDIs, GEFs and GAPs has to be revised. Recent experimental evidence supports this idea[6].

In addition, the model allows to recapitulate a continuous transition between the tear-like shape adopted by neutrophiles and the fan-like shape of keratocytes during migration [7] by varying the relative magnitudes of protrusion and contraction forces or, alternatively, the strength of RhoGTPase Crosstalk. The second mechanism represents a novel explanation of the di erent morphologies observed in migrating cells. Di erences in RhoGTPase crosstalk strength could be mediated by di erences between the activity or concentration of GEFs, GAPs and GDIs in di erent cell types; an idea that can be explored experimentally.


On cell mechanosensing, a new hypothesis based on a simple physical principle is proposed as the mechanism that might explain the universal preference of cells (bar neurons) to migrate along sti ness gradients. The theory provides a simple unifying explanation to a number of recent observations on force development and growth in real time at cell Focal adhesions [8, 9, 10, 11]. The apparently conflicting results have been attributed to the di erences in experimental set-ups and cell types used, and have fueled a longstanding controversy on how cells prove the mechanical properties of the extra-cellular matrix. The predictions of the theory recapitulate these experimental observations, and its founding hypothesis can be tested experimentally. This hypothesis directly suggests the mechanism that could explain the preference of cells to migrate along sti ness gradients, and for the first time, a plausible biological function for its existence. This phenomenon is known as Durotaxis, and its abnormal regulation has been associated to the malignant behaviour of cancer cells.


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