Multiscale mathematical modeling occurrence and growth of a tumour in an epithelial tissue
|
|
- Kory Hicks
- 6 years ago
- Views:
Transcription
1 : :57; MSC 21: 92D2.. 1,,.. 1,.. 2, 1 -,,, 61499,.,.,. 24 2,,, 32,. dmitribratsun@rambler.ru, pismen@technion.ac.il , - -, - -, -., , - -. :,,,,, Multiscale mathematical modeling occurrence and growth of a tumour in an epithelial tissue D. A. Bratsun 1, A. P. Zakharov 1, L.M. Pismen 2 1 Perm State Humanitarian Pedagogical University, 24 Sibirskaya str., Perm, 61499, Russia 2 Department of Chemical Engineering, Technion Israel Institute of Technology, 32 Haifa, Israel Abstract. In this paper we propose a mathematical model of cancer tumour occurrence in a quasi twodimensional epithelial tissue. Basic model of the epithelium growth describes the appearance of intensive movement and growth of tissue when it is damaged. The model includes the effects of division of cells and intercalation. It is assumed that the movement of cells is caused by the wave of mitogen-activated protein kinase (MAPK), which in turn activated by the chemo-mechanical signal propagating along tissue due to its local damage. In this paper it is assumed that cancer cells arise from local failure of spatial synchronization of circadian rhythms. The study of the evolutionary dynamics of the model could determine the chemo-physical properties of a tumour, and spatial relationship between the occurrence of cancer cells and development of the entire tissue parameters coordinating its evolution through the exchange of chemical and mechanical signals. Keywords: mathematical modeling, cancer growth, circadian rhythms, gene regulation, synchronization, complex systems Citation: Computer Research and Modeling, 214, vol. 6, no. 4, pp (Russian). ( -26/244), ( 31-) ( ). 214,,
2 586..,..,..,,., -. [eber, 27], - (,, ), -.,,.,.,., ( )., -.,.,,.,.,, -. -,..,,.. -, -. [, 1977; Gyllenberg, ebb, 199], - (,, [Kimmel et al., 23])., -,.,,.,, -,. [., 1997;., 27].,, (, ) [ebb, 1985; Dyson et al., 24].,,. -.,., -,, [Ambrosi, Preziosi, 22; Byrne et al., 23;,, 29;., 29]. -,. -, [Ambrosi, Preziosi, 22] -, -.,
3 587 ( ). [,, 29],,,.,,, -.,,., [Smolle, Stettner, 1993] [Anderson, 25]. -.,, [Anderson et al., 26].,., [Vogelstein, Kinzler, 24] -,,... - [Komarova, 27]. -, -.,, -., -. [Alarson, 23]., -,. [Kim et al., 27]., -. -, ( ),.,, ( ) -.,, :,, ( ),..,., -, (-, ),,,,., -, , [Viktorinova et al., 211; Salm, Pismen, 212] , 4,
4 588..,..,... : (,,, ), (, - ), - ( ), -..,.,,,,., - [Greene, 212; Rossetti et al., 212].., -., -,, [Dunlap, 1999;,, 211].,, -, -. -,, -,. -,.,,, -,,,., : -,, ; -,,, ; ( ) -.,,.,,. -.,.. -,. -,., [Viktorinova et al., 211; Salm, Pismen, 212]., -., -,
5 589., (. 1)., - : (, - ) ; - - ; - ;, -, ;, - - (. 1);, , -,,., --,, ,,.,,,.,. [riedl, Gilmour, 29]. -,, -. [Matsubayashi et al., 24], () - (). [Nikolic et al., 26]. -, - (), -, - [Viktorinova et al., 211; Salm, Pismen, 212]. MAK : d m ah ( ) C m m, (1) dt 1 b , 4,
6 59..,..,.. m ; A / A 1 ; H ; m - MAPK;, a b. MAK - C, : dc dt k Jik CCk, (2) iadj ( k ) C ;, J ik C i k J L ( C C ). (3) ik ik i k ; L ik i k (. 1). - (, ). (1) (3), C -., act m P, (4) i k k kadj ( i) P, -.,,,,. [Salm, Pismen, 212], -. -,,,. - : d P dt j act p i st p j D P, (5) p,, D p -, st.. : 1 E L A A 2 ( 2 ) 2 cells, (6) L A. (6),,, - A.. (. 1)., j -, : R j. mech j E R, (7) j
7 591,, : Ri mech act mech act i KH i i i i V ( ), (8) t H, K,, -,. (8),,,., -,, [Salm, Pismen, 212].. 2. () (), p : n 6 p p q, (9) p q. q 1 -, -., 2., -., -,, -,, [Honda et al., 28]. -,, - l (.. 2, ). 1., K D p A / 2 a b m C p q l , 4,
8 592..,..,..,, 1. [Salm, Pismen, 212].,. -,,.. -,, -., - [Greene, 212; Rossetti et al., 212] -, 3 % -.,,., : f, w ;,., -. -, [, -, 211]., Neurospora crassa, -., [Smolen et al., 23] - Drosophila. - (. 3).,, -.,,. 2,, f w. -,., frq w, per dclock [Smolen et al., 23].,, (, -,..),.,. 3, -, -.,.,, 2. -,
9 593 B { B, B }, B B. 1 1, , k, k 1, k -1, k 2, k -2,, - 1 k1 k1, 2 k 1 k1, k k2 B B, B B k , 6 k k k k k2 B B, B B 1 2 k t B1 ( t) B1 k t, B1 ( t) B1 K K 2 K 1 K , 2, - [,, 211]: d 1 (1 4 K1 ) k1 1 2 k, (1) dt K1 K2 ( t ) d 1 (1 4 K1 ) k k, (11) dt K1 K2 ( t ) Ki ki / k i, Ki ki / k i. -, 3, , (1) (11), 2,,,., - (, ), -., (. 2), (1) (11)., ,, ( -, ): d i k 1 1 ( ). 2 i k i i Lik k i (12) dt (1 4 K1 i ) 1 K1 K2 i ( t ) iadj( k ) , 4,
10 594..,..,.. (2) (3),.,., (1) (12),,., [,, 213]. - (1) (12). -. -,,. - -, , , [,. 4. : -,. 1, 25, 5, B.3, B.4
11 595, 211]..1 -,. -, -,, [,, 211].., -. -., [,, 211]. [,, 213]., 5, , 16. -, -.,.. 5. : -,. 1, 5, 1, B 6., B , 4,
12 596..,..,.. -, (. 5).,.,., :,. -,., -,., [Koseska et al., 21].,..,, -, -.,,. -.,, -. -, 4 5,, - -, - -,. -, -, (:,, - ), (. 6)., , -,.,.. 6.,. -,,
13 597, [Greene, 212; Rossetti et al., 212],., - -., -,. :, (13) i k i k adj ( i ) i i -,., (13), -,, -., (. 6). -, - (. 6 ) d X dt i X 1 X A X N ( t), (14) i i i i i X i - ; ; N - ; ( t) 1. (14), :, A 1 (- A 1)., A (. 7, )., X -, X 1. (14),, (13). - 1, A.15, N 2.5,,,, - (. 7, ).. 7. (14) (); () , 4,
14 598..,..,..,, (. 4),. -,. -- (. 5), (. 7)., - (14)., -,. -,, - - -, -, 5., -.,, -, -,., -,. -,,. - ( intrinsic noise)., -,.,, -,., (extrinsic noise), -. (14),, - ( ), ( - ).,, 2, (1) (11),., -. - [eber, 27]:, ; - - ;, ;,, - ; :, ;,, -.
15 599, -,,., ; (); -,.. -,, - (., 1): -, A (. (6));, -, ; () l (. 2, ), - ; ;,,,., - -,,,.,.,., 8,, -. : A 6 3 / 2, 1.2, 1., l.2. : T ,, :,.,., -..,, (. 8, t 11 ).,.,, , 4,
16 6..,..,... 8.,. - 25, 5, 75, 11. A.. : A 6 3 / 2, 1.2, 1., l.2. T 15 2
17 61. 9.,. - 2, 4, 6, 8. A.. : A 3 3 / 2, 1.2, 1., l.4. T , 4,
18 62..,..,.., 9, -,. - : A 3 3 / 2, 1.2, 1., l.4. T l. -,. -, - -.,. -, -, -.,,., (, ). - ( - - ). -.,,. -. -,, -, -..., Neurospora crassa // , ,.., // , ,.. // , ,.. //. 29. T. 1, ,..,..,.. // , ,..,.. - // C ,..,.. // ,
19 63....:, c. Alarcon T. A cellular automaton model for tumour growth in inhomogeneous environment // J. Theor. Biol. 23. V P Ambrosi D., Preziosi L. On the closure of mass balance models for tumour growth // Math. Mod. Meth. Appl. Sci. 22. Vol. 12. P Anderson A. A hybrid mathematical model of solid tumour invasion: The importance of cell adhesion // Math. Med. Biol. 25. Vol. 22. P Anderson A., eaver A., Cummings P., Quaranta V. Tumor morphology and phenotypic evolution driven by selective pressure from the microenvironment // Cell. 26. Vol P Bratsun D., Volfson D., Hasty J., Tsimring L. Delay-induced stochastic oscillations in gene regulation // PNAS. 25. Vol. 12, No. 41. P Byrne H. M., King J. R., McElwain D. L. S. A two-phase model of solid tumor growth // Appl. Math. Lett. 23. Vol. 16. P Dyson J., Villella-Bressan R., ebb G. The steady state of a maturity structured tumor cord cell population // Discr. Cont. Dyn. Syst. B. 24. Vol. 4. P Dunlap J. C. Molecular bases for circadian clocks // Cell Vol. 96, No. 2. P Greene M.. Circadian rhythms and tumor growth // Cancer Letters Vol P Gyllenberg M., ebb G. A nonlinear structured population model of tumour growth with quiescence // J. Math. Biol Vol. 28. P Honda H., Nagai T. and Tanemura M. Two different mechanisms of planar cell intercalation leading to tissue elongation // Developmental Dynamics. 28. Vol P riedl P., Gilmour D. Collective cell migration in morphogenesis, regeneration and cancer // Nat. Rev. Mol. Cell Biol. 29. Vol. 1. P Kim Y., Stolarska M.A., Othmer H.G. A hybrid model for tumour spheroid growth in vitro I: Theoretical development and early results // Math. Mod. Meth. Appl. Sci. 27. Vol. 17. P Kimmel M., Lachowicz M., wierniak A. Cancer growth and progression, mathematical problems and computer simulations // Int. J. Appl. Math. Comput. Sci. 23. Vol. 13. P Komarova N. Stochastic modeling of loss- and gain-of-function mutation in cancer // Math. Mod. Meth. Appl. Sci. 27. V. 17. P Koseska A., Ullner E., Volkov E., Kurths J., Garcia-Ojalvo J. Cooperative differentiation through clustering in multicellular populations // J. Theor. Biol. 21. Vol P Matsubayashi Y., Ebisuya M., Honjoh S., and Nishida E. Erk activation propagates in epithelial cell sheets and regulates their migration during wound healing // Curr. Biol. 24. Vol. 14. P Nikolic D. L., Boettiger A. N., Bar-Sagi D., Carbeck J. D., and Shvartsman S. Y. Role of boundary conditions in an experimental model of epithelial wound healing // Am. J. Physiol. Cell Physiol. 26. Vol P Rossetti S., Esposito J., Corlazzoli., Gregorski A., Sacchi N. Entrainment of breast (cancer) epithelial cells detects distinct circadian oscillation patterns for clock and hormone receptor genes // Cell Cycle Vol. 11. P Salm M., Pismen L.M. Chemical and mechanical signaling in epithelial spreading // Phys. Biol Vol. 9, N.2. P Smolen P., Baxter D. A., Byrne J. H. Reduced models of the circadian oscillators in Neurospora crassa and Drosophila melanogaster illustrate mechanistic similarities // OMICS. 23. Vol. 7, No. 4. P , 4,
20 64..,..,.. Smolle J., Stettner H. Computer simulation of tumour cell invasion by a stochastic growth model // J. Math. Biol Vol. 16. P Viktorinova I., Pismen L. M., Aigouy B., Dahmann C. The role of signal relay in collective cell polarization // J. R. Soc. Interface Vol. 8. P Vogelstein B., Kinzler K.. Cancer genes and the pathways they control // Nature Med. 24. Vol. 1. P ebb G.. Theory of Nonlinear Age-Dependent Population Dynamics. Marcel Dekker, 1985 P eber G.. Molecular Mechanisms of Cancer. Springer, 27. P. 645.
Stochastic simulations
Circadian rhythms Stochastic simulations Circadian rhythms allow living organisms to live in phase with the alternance of day and night... Application to circadian clocks Didier Gonze Circadian rhythms
More informationStochastic simulations
Stochastic simulations Application to circadian clocks Didier Gonze Circadian rhythms Circadian rhythms allow living organisms to live in phase with the alternance of day and night... Circadian rhythms
More informationA Review of Cellular Automata Models. of Tumor Growth
International Mathematical Forum, 5, 2010, no. 61, 3023-3029 A Review of Cellular Automata Models of Tumor Growth Ankana Boondirek Department of Mathematics, Faculty of Science Burapha University, Chonburi
More informationWeather Cancer. Problem: Wanted: prediction But: difficult Why? Complex systems, i.e. many agents agents, feedback dynamics.
Weather Cancer Financial markets Problem: Wanted: prediction But: difficult Why? Complex systems, i.e. many agents agents, feedback dynamics ? Analyzing emergent behaviour in cellular automaton models
More informationCombination of The Cellular Potts Model and Lattice Gas Cellular Automata For Simulating The Avascular Cancer Growth
Combination of The Cellular Potts Model and Lattice Gas Cellular Automata For Simulating The Avascular Cancer Growth Mehrdad Ghaemi 1, Amene Shahrokhi 2 1 Department of Chemistry, Teacher Training University,
More informationBMBF Forsys Partner Project: A Systems Biology Approach towards Predictive Cancer Therapy
ling and ling and BMBF Forsys Partner Project: A Systems Biology Approach towards Predictive Cancer Therapy H. Perfahl, A. Lapin, M. Reuss Germany holger.perfahl@ibvt.uni-stuttgart.de 1 ling and Cooperation
More informationModeling keratinocyte wound healing dynamics
Modeling keratinocyte wound healing dynamics cell-cell adhesion promotes sustained collective migration John Nardini, David M. Bortz Department of Applied Mathematics, University of Colorado, Boulder Interdisciplinary
More informationCell Adhesion and Reorganization in Tumour Growth Modelling. Luigi Preziosi calvino.polito.it/~preziosi
Cell Adhesion and Reorganization in Tumour Growth Modelling Luigi Preziosi Luigi.preziosi@polito.it calvino.polito.it/~preziosi Tumours as Multicomponent Tissues deformable and degradable ECM extracellular
More informationSeminars in Cancer Biology
Seminars in Cancer Biology 18 (2008) 338 348 Contents lists available at ScienceDirect Seminars in Cancer Biology journal homepage: www.elsevier.com/locate/semcancer Review Invasion emerges from cancer
More informationarxiv: v1 [q-bio.pe] 7 Aug 2013
SPATIAL EVOLUTION OF TUMORS WITH SUCCESSIVE DRIVER MUTATIONS TIBOR ANTAL 1, P. L. KRAPIVSKY 2, AND M. A. NOWAK 3 arxiv:1308.1564v1 [q-bio.pe] 7 Aug 2013 Abstract. We study the spatial evolutionary dynamics
More informationModeling Rhythms on Differents Levels: Cells, Tissues, and Organisms
Modeling Rhythms on Differents Levels: Cells, Tissues, and Organisms Hanspeter Herzel Institute for Theoretical Biology (ITB) Charité and Humboldt University Berlin Molecular Chronobiology SCN-neuron nucleus
More informationSimulating the Tumor Growth with Cellular Automata Models
Simulating the Tumor Growth with Cellular Automata Models S. Zouhri Université Hassan II- Mohammédia, Faculté des Sciences Ben M'sik Département de Mathématiques, B.7955, Sidi Othmane, Casablanca, Maroc
More informationMultiscale Models of Solid Tumor Growth and Angiogenesis: The effect of the microenvironment
Multiscale Models of Solid Tumor Growth and Angiogenesis: The effect of the microenvironment John Lowengrub Dept Math and Biomed Eng., UCI P. Macklin, Ph.D. 2007 (expected); Vittorio Cristini (UCI/UT Health
More informationCA 2 : Cellular Automata Models and Self-Organized Chaos in Cancer Growth
CA 2 : Cellular Automata Models and Self-Organized Chaos in Cancer Growth ADAM V. ADAMOPOULOS Medical Physics Laboratory, Department of Medicine Democritus University of Thrace GR-681 00, Alexandroupolis
More informationarxiv: v2 [physics.bio-ph] 23 Sep 2010
Synchronization and entrainment of coupled circadian oscillators arxiv:16.3446v2 [physics.bio-ph] 23 Sep 21 By N. Komin, A.C. Murza, E. Hernández-García, R. Toral IFISC (Instituto de Física Interdisciplinar
More informationCircadian Phase Entrainment via Nonlinear Model Predictive Control
Paper No. 573b Circadian Phase Entrainment via Nonlinear Model Predictive Control Neda Bagheri, Jörg Stelling, and Francis J. Doyle III 1 Department of Electrical and Computer Engineering Department of
More informationPiecewise smooth maps for the circadian modulation of sleep-wake dynamics
Piecewise smooth maps for the circadian modulation of sleep-wake dynamics Victoria Booth, Depts of Mathematics and Anesthesiology University of Michigan Cecilia Diniz Behn, Dept of Applied Mathematics
More informationMathematical biology From individual cell behavior to biological growth and form
Mathematical biology From individual cell behavior to biological growth and form Lecture 8: Multiscale models Roeland Merks (1,2) (1) Centrum Wiskunde & Informatica, Amsterdam (2) Mathematical Institute,
More informationMultiscale Models of Solid Tumor Growth and Angiogenesis: The effect of the microenvironment
Multiscale Models of Solid Tumor Growth and Angiogenesis: The effect of the microenvironment John Lowengrub Dept Math and Biomed Eng., UCI P. Macklin, Ph.D. 2007 (expected); Vittorio Cristini (UCI/UT Health
More informationMathematical Methods for Cancer Invasion
Mathematical Methods for Cancer Invasion Takashi Suzuki Osaka University Cell Movement Physiological morphogenesis wound healing cellular immunity Pathological inflammation arteriosclerosis cancer invasion,
More informationON FLOW DYNAMICS IN TYPE B AORTIC DISSECTION (TBAD)
ON FLOW DYNAMICS IN TYPE B AORTIC DISSECTION (TBAD) A. Rabin 1, R. Karmeli 1, P. Bar-Yoseph 2 1- Vascular & Endovascular surgery department Hadassah university hospital, Jerusalem, Israel 2- Mechanical
More informationComputational Systems Biology of Cancer Metastasis
Computational Systems Biology of Cancer Metastasis Cancer Systems Biology group Mohit Kumar Jolly BSSE PhD admissions Jan 2019 Cancer metastasis: an unsolved clinical challenge Metastasis - the spread
More informationSupplementary Figures
Supplementary Figures Supplementary Figure 1. Single cell gene expression analysis during collective cell migration. (a) Florescence and bright-field images of MCF7 cells transfected with dslna probes
More informationA Practical Approach to Prescribe The Amount of Used Insulin of Diabetic Patients
A Practical Approach to Prescribe The Amount of Used Insulin of Diabetic Patients Mehran Mazandarani*, Ali Vahidian Kamyad** *M.Sc. in Electrical Engineering, Ferdowsi University of Mashhad, Iran, me.mazandarani@gmail.com
More informationStudy of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model
Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model José SantosandÁngel Monteagudo Computer Science Department, University of A Coruña, Spain jose.santos@udc.es Abstract.
More informationDynamic Computational Model Suggests That Cellular Citizenship Is Fundamental for Selective Tumor Apoptosis
Dynamic Computational Model Suggests That Cellular Citizenship Is Fundamental for Selective Tumor Apoptosis Megan Olsen 1, Nava Siegelmann-Danieli 2, Hava T. Siegelmann 1 * 1 Department of Computer Science,
More informationAdvance in circadian rhythm genetics in mammals
16 2 2004 4 Chinese Bulletin of Life Sciences Vol. 16, No. 2 Apr., 2004 1004-0374 (2004) 02-0104-05 1 100101 2 434025 9 24, Q41 A Advance in circadian rhythm genetics in mammals XU Zu-Yuan 1,2 (1 Beijing
More informationCulturing embryonic tissues in the computer
Culturing embryonic tissues in the computer Blood vessel development Roeland Merks Biomodeling & Biosystems Analysis CWI, Life Sciences and Netherlands Institute for Systems Biology Biological development
More informationNumerical investigation of phase transition in a cellular network and disease onset
Numerical investigation of phase transition in a cellular network and disease onset Xujing Wang, Associate Professor Dept of Physics xujingw@uab.edu 934-8186 The question: Is (chronic) disease onset a
More informationModeling of epidemic spreading with white Gaussian noise
Article Statistical Physics and Mathematics for Complex Systems December 20 Vol.56 No.34: 3683 3688 doi: 0.007/s434-0-4753-z SPECIAL TOPICS: Modeling of epidemic spreading with white Gaussian noise GU
More information(
Journal Club 7-11-08 Jacqueline Barnes Mentors: Dr. Joel Stiles Dr. Markus Dittrich (http://media.arstechnica.com/journals/science.media/kaic.jpg) Hourglass Model for a Protein-Based Circadian Oscillator
More informationThe connection between sleep spindles and epilepsy in a spatially extended neural field model
The connection between sleep spindles and epilepsy in a spatially extended neural field model 1 2 3 Carolina M. S. Lidstrom Undergraduate in Bioengineering UCSD clidstro@ucsd.edu 4 5 6 7 8 9 10 11 12 13
More informationGuided Cell Migration: A Dynamical Systems Perspective. Wolfgang Losert. Department of Physics, University of Maryland
Guided Cell Migration: A Dynamical Systems Perspective Wolfgang Losert Department of Physics, University of Maryland Guided Cell Migration is Essential for Living Systems Phil Keller, Janelia Farm Development
More informationThe$mechanism$of$wound$shielding$&$more$using$WSI&
The$mechanism$of$wound$shielding$&$more$using$WSI& Niels&Grabe& Na#onal'Center'for'Tumor'Diseases'Heidelberg''(NCT)'/'' Ins#tute'of'Pathology,'University'Hospital'Heidelberg' Specialized'Pipeline:& & From&Quan
More informationNeutral evolution in colorectal cancer, how can we distinguish functional from non-functional variation?
in partnership with Neutral evolution in colorectal cancer, how can we distinguish functional from non-functional variation? Andrea Sottoriva Group Leader, Evolutionary Genomics and Modelling Group Centre
More informationSUPPLEMENTARY INFORMATION
In the format provided by the authors and unedited. 2 3 4 DOI: 10.1038/NMAT4893 EGFR and HER2 activate rigidity sensing only on rigid matrices Mayur Saxena 1,*, Shuaimin Liu 2,*, Bo Yang 3, Cynthia Hajal
More informationSleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19
Sleep-Wake Cycle I Brain Rhythms Reading: BCP Chapter 19 Brain Rhythms and Sleep Earth has a rhythmic environment. For example, day and night cycle back and forth, tides ebb and flow and temperature varies
More informationBiomodeling of pancreatic tumor mass.
University of Louisville ThinkIR: The University of Louisville's Institutional Repository Electronic Theses and Dissertations 5-2013 Biomodeling of pancreatic tumor mass. Justin Lee Howell University of
More informationModeling Imatinib-Treated Chronic Myeloid Leukemia
Modeling Imatinib-Treated Chronic Myeloid Leukemia Cara Peters cpeters3@math.umd.edu Advisor: Dr. Doron Levy dlevy@math.umd.edu Department of Mathematics Center for Scientific Computing and Mathematical
More informationLecture 6: Brain Functioning and its Challenges
Lecture 6: Brain Functioning and its Challenges Jordi Soriano Fradera Dept. Física de la Matèria Condensada, Universitat de Barcelona UB Institute of Complex Systems September 2016 1. The brain: a true
More information20 Mathematical modelling of angiogenesis and vascular adaptation 1
Studies in Multidisciplinarity, Volume 3 Editors: Ray Paton y and Laura McNamara ß 2006 Elsevier B.V. All rights reserved. 20 Mathematical modelling of angiogenesis and vascular adaptation 1 Tomas Alarcon
More informationMultiscale Cancer Modeling
Preprint notes: This is a preprint of an article in review by Annual Review of Biomedical Engineering. The preprint is posted in full accordance of the journal s copyright policies. Please note that this
More informationTranscription Regulation And Gene Expression in Eukaryotes (Cycle G2 # )
Transcription Regulation And Gene Expression in Eukaryotes (Cycle G2 #13709-01) CIRCADIAN SIGNALING NETWORKS RG. Clerc May 19. 2010 www.fmi.ch/training/teaching Circadian rythms : most physiological processes
More informationarxiv: v1 [q-bio.to] 28 Apr 2014
Bridging scales in cancer progression: Mapping genotype to phenotype using neural networks Philip Gerlee, Eunjung Kim & Alexander R.A. Anderson Department of Integrated Mathematical Oncology arxiv:1404.7108v1
More informationStudying the emergence of invasiveness in tumours using game theory
EPJ B proofs (will be inserted by the editor) Studying the emergence of invasiveness in tumours using game theory D. Basanta,a,H.Hatzikirou, and A. Deutsch Zentrum für Informationsdienste und Hochleistungsrechnen,
More informationBiochemistry of Carcinogenesis. Lecture # 35 Alexander N. Koval
Biochemistry of Carcinogenesis Lecture # 35 Alexander N. Koval What is Cancer? The term "cancer" refers to a group of diseases in which cells grow and spread unrestrained throughout the body. It is difficult
More informationTumor Growth Simulation Profiling
Tumor Growth Simulation Profiling Claire Jean-Quartier (B), Fleur Jeanquartier, David Cemernek, and Andreas Holzinger Holzinger Group, Research Unit HCI-KDD, Institute for Medical Informatics, Statistics
More informationCancer develops after somatic mutations overcome the multiple
Genetic variation in cancer predisposition: Mutational decay of a robust genetic control network Steven A. Frank* Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525
More informationPersonalized medicine by the use of mathematical models for angiogenesis: validation in a Mesenchymal Chondrosarcoma patient
Personalized medicine by the use of mathematical models for angiogenesis: validation in a Mesenchymal Chondrosarcoma patient Agur Zvia Institute for Medical BioMathematics, IMBM Agenda Medical problem:
More informationA Model for Glioma Growth
A Model for Glioma Growth EVGENIY KHAIN, 1 LEONARD M. SANDER, 1 AND ANDREW M. STEIN 2 1 Department of Physics and Michigan Center for Theoretical Physics, The University of Michigan, Ann Arbor, Michigan
More informationModelling multiscale aspects of colorectal cancer
Modelling multiscale aspects of colorectal cancer Ingeborg M.M. van Leeuwen*, Helen M. Byrne*, Matthew D. Johnston''', Carina M. Edwards''', S. Jonathan Chapman**, Waher F. Bodmer^ and Philip K. Maini
More informationModeling Three-dimensional Invasive Solid Tumor Growth in Heterogeneous Microenvironment under Chemotherapy
Modeling Three-dimensional Invasive Solid Tumor Growth in Heterogeneous Microenvironment under Chemotherapy Hang Xie 1, Yang Jiao 2, Qihui Fan 3, Miaomiao Hai 1, Jiaen Yang 1, Zhijian Hu 1, Yue Yang 4,
More informationChemical Oscillations and Circadian Rhythms. Peter Ruoff University of Stavanger Stavanger, Norway
Chemical Oscillations and Circadian Rhythms Peter Ruoff University of Stavanger Stavanger, Norway Early Events -1828 Fechner publishes the observation of an oscillating electric current in an electrochemical
More information3D Tissue Models. Simple, Low Cost Fabrication. Simple, Robust Protocols
3D Tissue Models SynVivo is a physiological, cell-based microfluidic platform that provides a morphologically and physiologically realistic microenvironment allowing real-time study of cellular behavior,
More informationOverview of mathematical biological models and their application in CML research
Overview of mathematical biological models and their application in CML research March 27 th 2015 Christina Fitzmaurice, MD, MPH Faculty discussants: Vivian Oehler, MD FHCRC/UW William Hazelton, PhD FHCRC
More informationTissues. Definition. A group of similar cells and their intercellular substances specialized to perform a specific function.
Chapter 4 - Tissues Tissues Definition A group of similar cells and their intercellular substances specialized to perform a specific function. Tissues Epithelial covers exposed surfaces, lines internal
More informationEvolution of cell motility in an. individual-based model of tumour growth
Evolution of cell motility in an individual-based model of tumour growth P. Gerlee a,, A.R.A. Anderson b a Niels Bohr Institute, Center for Models of Life, Blegdamsvej 17, 2100 Copenhagen Ø, Denmark b
More informationOptimal Phase-Tracking of the Nonlinear Circadian Oscillator
25 American Control Conference June 8-1, 25. Portland, OR, USA ThC13.1 Optimal Phase-Tracking of the Nonlinear Circadian Oscillator Neda Bagheri, Jörg Stelling, and Francis J. Doyle III Abstract Through
More informationThe Goodwin Model: Simulating the Effect of Cycloheximide and Heat Shock on the Sporulation Rhythm of Neurospora crassa
J. theor. Biol. (1999) 196, 483 494 Article No. jtbi.1998.846, available online at http://www.idealibrary.com on The Goodwin Model: Simulating the Effect of Cycloheximide and Heat Shock on the Sporulation
More informationPanel 1: Risk of Performance Decrements and Adverse Health Outcomes Resulting from Sleep Loss, Circadian Desynchronization, and Work Overload
Panel 1: Risk of Performance Decrements and Adverse Health Outcomes Resulting from Sleep Loss, Circadian Desynchronization, and Work Overload Frank A.J.L. Scheer, Ph.D. Associate Professor of Medicine,
More informationmicrorna as a Potential Vector for the Propagation of Robustness in Protein Expression and Oscillatory Dynamics within a cerna Network
microrna as a Potential Vector for the Propagation of Robustness in Protein Expression and Oscillatory Dynamics within a cerna Network Claude Gérard*,Béla Novák Oxford Centre for Integrative Systems Biology,
More informationPHYSIOLOGY AND MAINTENANCE Vol. V - Biological Rhythms - Tarja Porkka-Heiskanen, Jarmo T. Laitinen
BIOLOGICAL RHYTHMS Tarja Porkka-Heiskanen, Institute of Biomedicine, University of Helsinki, Finland Jarmo T. Laitinen Department of Physiology, University of Kuopio, Finland Keywords: Light, melatonin,
More informationMAE 298, Lecture 10 May 4, Percolation and Epidemiology on Networks
MAE 298, Lecture 10 May 4, 2006 Percolation and Epidemiology on Networks Processes on networks Search for information Spreading processes Interplay of topology and function Epidemiology Understanding how
More informationYangjin Kim. A Mathema)cal Model of Glioma Invasion: microrna (mir451) regula5on of tumor invasion/growth. SIAM- Analysis on PDEs, San Diego, CA
A Mathema)cal Model of Glioma Invasion: microrna (mir45) regula5on of tumor invasion/growth Yangjin Kim University of Michigan Nov 6, 2 SIAM- Analysis on PDEs, San Diego, CA Acknowledgement Avner Friedman
More informationMathematics 4MB3/6MB3 Mathematical Biology
Mathematics and Statistics dω = ω M M Mathematics 4MB3/6MB3 Mathematical Biology Instructor: Guillaume Blanchet Lecture 22 Synchrony - Part 6 March 4 th 2015 Application of simple coherence criteria 10
More informationMathematics and Physics of Cancer: Questions. Robijn Bruinsma, UCLA KITP Colloquium May 6, ) Cancer statistics and the multi-stage model.
Mathematics and Physics of Cancer: Questions Robijn Bruinsma, UCLA KITP Colloquium May 6, 2009 1) Cancer statistics and the multi-stage model. 2) Cancer microevolution and clonal expansion. 3) Metastasis:
More informationSimulation of Drosophila Circadian Oscillations, Mutations, and Light Responses by a Model with VRI, PDP-1, and CLK
Title: Simulation of Drosophila Circadian Oscillations, Mutations, and Light Responses by a Model with VRI, PDP-1, and CLK Authors: Paul Smolen, Paul E. Hardin *, Brian S. Lo, Douglas A. Baxter, and John
More informationEffects of Light Stimulus Frequency on Phase Characteristics of Brain Waves
SICE Annual Conference 27 Sept. 17-2, 27, Kagawa University, Japan Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves Seiji Nishifuji 1, Kentaro Fujisaki 1 and Shogo Tanaka 1 1
More informationSummary of Evolution and the Requirements for the Specific Cure of Cancer
Summary of Evolution and the Requirements for the Specific Cure of Cancer The definition of cancer Cancer is defined by malignant behavior, (e.g. cell proliferation and invasiveness in an abnormal context.
More informationEffects of prd Circadian Clock Mutations on FRQ-Less Rhythms in Neurospora
Effects of prd Circadian Clock Mutations on FRQ-Less Rhythms in Neurospora Sanshu Li 1 and Patricia Lakin-Thomas 2 Department of Biology, York University, Toronto, Canada Abstract Rhythmic conidiation
More informationTransitions between dierent synchronous ring modes using synaptic depression
Neurocomputing 44 46 (2002) 61 67 www.elsevier.com/locate/neucom Transitions between dierent synchronous ring modes using synaptic depression Victoria Booth, Amitabha Bose Department of Mathematical Sciences,
More informationRemoving ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique
www.jbpe.org Removing ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique Original 1 Department of Biomedical Engineering, Amirkabir University of technology, Tehran, Iran Abbaspour
More informationCircadian clock genes frequency and white collar-1 are not essential for entrainment to temperature cycles in Neurospora crassa
Circadian clock genes frequency and white collar-1 are not essential for entrainment to temperature cycles in Neurospora crassa Patricia L. Lakin-Thomas* Department of Biology, York University, Toronto,
More informationStudy Guide A. Answer Key. Animal Behavior
Animal Behavior Answer Key SECTION 1. ADAPTIVE VALUE OF BEHAVIOR 1. stimulus; behavior 2. Internal; body 3. External; surroundings 4. b, c, a 5. constant; stimuli 6. increase; particular 7. internal; external
More informationDisclosure of Relevant Financial Relationships. Breast Pathology Evening Specialty Conference Case #4. Clinical Case: Pathologic Features
Breast Pathology Evening Specialty Conference Case #4 K.P. Siziopikou, MD, PhD Professor of Pathology Director of Breast Pathology and Breast Pathology Fellowship Program Northwestern University Feinberg
More informationIn Silico Modelling of Tumour Margin Diffusion and Infiltration: Review of Current Status
Computational and Mathematical Methods in Medicine Volume 2012, Article ID 672895, 16 pages doi:10.1155/2012/672895 Review Article In Silico Modelling of Tumour Margin Diffusion and Infiltration: Review
More informationNeural Network based Heart Arrhythmia Detection and Classification from ECG Signal
Neural Network based Heart Arrhythmia Detection and Classification from ECG Signal 1 M. S. Aware, 2 V. V. Shete *Dept. of Electronics and Telecommunication, *MIT College Of Engineering, Pune Email: 1 mrunal_swapnil@yahoo.com,
More informationPattern formation at cellular membranes by phosphorylation and dephosphorylation of proteins
Pattern formation at cellular membranes by phosphorylation and dephosphorylation of proteins Sergio Alonso Department of Mathematical modeling and data analysis Physikalisck-Technische Bundesanstalt &
More informationCOMPETITIVE INTERFERENCE BETWEEN INFLUENZA VIRAL STRAINS
CANADIAN APPLIED MATHEMATICS QUARTERLY Volume 17, Number 2, Summer 2009 COMPETITIVE INTERFERENCE BETWEEN INFLUENZA VIRAL STRAINS SEYED M. MOGHADAS, CHRISTOPHER S. BOWMAN AND JULIEN ARINO ABSTRACT. We propose
More informationTheory Of The Inhomogeneous Electron Gas (Physics Of Solids And Liquids)
Theory Of The Inhomogeneous Electron Gas (Physics Of Solids And Liquids) If you are looking for a ebook Theory of the Inhomogeneous Electron Gas (Physics of Solids and Liquids) in pdf format, then you've
More informationPermeation of organic molecules in water and ethanol-water solutions by reverse osmosis
Proceedings of European Congress of Chemical Engineering (ECCE-6) Copenhagen, 16-20 September 2007 Permeation of organic molecules in water and ethanol-water solutions by reverse osmosis J. Labanda, J.
More informationFeatured Articles. Increase in tension forces movement in one direction. Article navigation. Standfirst. Jump to main content Jump to navigation
Jump to main content Jump to navigation powered by Search Article navigation References Featured Articles Increase in tension forces movement in one direction Cell Migration Gateway (February 2012) Standfirst
More informationIntroduction. Dr. Carmen E. Rexach Physiology Mt SAC Biology Department
Introduction Dr. Carmen E. Rexach Physiology Mt SAC Biology Department What is physiology? Definition Study of body s vital functions Used to refer to healing Structure vs function Mechanists approach
More informationUWA Research Publication
UWA Research Publication Shrestha S. M. B. Joldes G. R. Wittek A. and Miller K. (2013) Cellular automata coupled with steady-state nutrient solution permit simulation of large-scale growth of tumours.
More informationCorrelated network activity in the developing hippocampus: role in synaptogenesis
Enrico Cherubini Correlated network activity in the developing hippocampus: role in synaptogenesis SPACE PHYSICS and BIOLOGY Dubna, December 19-23, 2010 The construction of the brain relies on genetic
More informationSpatial prisoner s dilemma games with increasing size of the interaction neighborhood on regular lattices
Article Statistical Physics March 2012 Vol.57 No.7: 724728 doi: 10.1007/s11434-011-4890-4 Spatial prisoner s dilemma games with increasing size of the interaction neighborhood on regular lattices WANG
More informationA Genetic Program for Embryonic Development
Concept 18.4: A program of differential gene expression leads to the different cell types in a multicellular organism During embryonic development, a fertilized egg gives rise to many different cell types
More informationSolving Problems of Clustering and Classification of Cancer Diseases Based on DNA Methylation Data 1,2
APPLIED PROBLEMS Solving Problems of Clustering and Classification of Cancer Diseases Based on DNA Methylation Data 1,2 A. N. Polovinkin a, I. B. Krylov a, P. N. Druzhkov a, M. V. Ivanchenko a, I. B. Meyerov
More informationMicroRNA expression profiling and functional analysis in prostate cancer. Marco Folini s.c. Ricerca Traslazionale DOSL
MicroRNA expression profiling and functional analysis in prostate cancer Marco Folini s.c. Ricerca Traslazionale DOSL What are micrornas? For almost three decades, the alteration of protein-coding genes
More informationUnit 4 - Reproduction
Living Environment Practice Exam- Parts A and B-1 1. Which cell process occurs only in organisms that reproduce sexually? A) mutation B) replication C) meiosis D) mitosis 2. Which sequence represents the
More informationPlasticity of Cerebral Cortex in Development
Plasticity of Cerebral Cortex in Development Jessica R. Newton and Mriganka Sur Department of Brain & Cognitive Sciences Picower Center for Learning & Memory Massachusetts Institute of Technology Cambridge,
More informationModels of Cooperation in Social Systems
Models of Cooperation in Social Systems Hofstadter s Luring Lottery From Hofstadter s Metamagical Themas column in Scientific American: "This brings me to the climax of this column: the announcement of
More informationNew Method for Tumor Growth Modeling: Software Environment and Mathematical
Int. J. of Comp. & Info. Tech., (2017) 5(2): 109-117. ISBN: 2345-3877 www.ijocit.org Volume 5, Issue 2 Review Paper New Method for Tumor Growth Modeling: Software Environment and Mathematical Siamak Haghipour
More informationFinite-element study of vibration effect to fracture healing of a human tibia
Finite-element study of vibration effect to fracture healing of a human tibia Leonid Maslov 1, Jean-Baptiste Etheve 2, Nikolay Sabaneev 3 Ivanovo State Power Engineering University, Ivanovo, Russia 1 Corresponding
More informationA mathematical model of glucose-insulin interaction
Science Vision www.sciencevision.org Science Vision www.sciencevision.org Science Vision www.sciencevision.org Science Vision www.sciencevision.org the alpha and beta cells of the pancreas respectively.
More informationThe Ticking CLOCK of HSV-2 Pathology Rebecca J. Bayliss 1 and Vincent Piguet 1,2,3
The Ticking CLOCK of HSV-2 Pathology Rebecca J. Bayliss 1 and Vincent Piguet 1,2,3 1 Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK; 2 Division of Dermatology, Women
More information- is a common disease - 1 person in 3 can expect to contract cancer at some stage in their life -1 person in 5 can expect to die from it
MBB157 Dr D Mangnall The Molecular Basis of Disease CANCER Lecture 1 One of the simpler (and better) definitions of cancer comes from the American Cancer Society, who define cancer as; 'Cancer is a group
More informationNintedanib in Oncology Backgrounder
For media outside the US, UK and Canada only Nintedanib in Oncology Backgrounder 1. What is nintedanib? 2. How does nintedanib work? 3. Data overview 4. Additional clinical data 5. Nintedanib approval
More informationCIRCADIAN SIGNALING NETWORKS
Transcription Regulation And Gene Expression in Eukaryotes Cycle G2 (lecture 13709) FS 2014 P. Matthias and RG Clerc Roger G. Clerc 07.05.2014 CIRCADIAN SIGNALING NETWORKS Master pacemaker SCN «Slave clocks»
More informationCancer and Oncogenes Bioscience in the 21 st Century. Linda Lowe-Krentz
Cancer and Oncogenes Bioscience in the 21 st Century Linda Lowe-Krentz December 1, 2010 Just a Few Numbers Becoming Cancer Genetic Defects Drugs Our friends and family 25 More mutations as 20 you get older
More information