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Understanding Cancer from a Systems Biology Point of View

Understanding Cancer from a Systems Biology Point of View
  • Author : Irina Kareva
  • Publisher :Unknown
  • Release Date :2018-02-07
  • Total pages :118
  • ISBN : 9780128136744
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Summary : Understanding Cancer from a Systems Biology Point of View: From Observation to Theory and Back starts with a basic question, why do we sometimes observe accelerated metastatic growth after resection of primary tumors? Next, it helps readers understand the systemic nature of cancer and how it affects treatment approaches and decisions. The book puts together aspects of cancer that many readers have most likely never combined, using unfamiliar, novel methods. It is a valuable resource for cancer researchers, cancer biologists, mathematicians and members of the biomedical field who are interested in applying systems biology methodologies for understanding and treating cancer. Explains the systemic nature of cancer and how it affects decisions on treatment Brings a variety of methods together, showing, in detail, the logical approach to finding answers to complex questions Discusses the theoretical underpinnings of cancer as a systemic disease, providing the reader with valuable information on applicable cases

Computational Systems Biology of Cancer

Computational Systems Biology of Cancer
  • Author : Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev
  • Publisher :Unknown
  • Release Date :2012-08-25
  • Total pages :461
  • ISBN : 9781439831441
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Summary : The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.

Cancer Systems Biology

Cancer Systems Biology
  • Author : Edwin Wang
  • Publisher :Unknown
  • Release Date :2010-05-04
  • Total pages :456
  • ISBN : 1439811865
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Summary : The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discov

Understanding Cancer

Understanding Cancer
  • Author : Richard Mcintosh/Mcd Biology
  • Publisher :Unknown
  • Release Date :2019-05-02
  • Total pages :446
  • ISBN : 9780429576263
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Summary : Understanding Cancer is a brand-new undergraduate textbook that uses simple language and well-chosen examples to explain the biological processes that underlie cancer and inform our methods for the diagnosis and treatment of this disease. The book has been carefully designed to provide key information relevant for students seeking a broad and accessible introduction to the cancer problem, even if they have no prior training in biology or chemistry.

Computational Systems Biology Approaches in Cancer Research

Computational Systems Biology Approaches in Cancer Research
  • Author : Inna Kuperstein,Emmanuel Barillot
  • Publisher :Unknown
  • Release Date :2019-09-09
  • Total pages :167
  • ISBN : 9781000682922
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Summary : Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’

Cancer Systems Biology, Bioinformatics and Medicine

Cancer Systems Biology, Bioinformatics and Medicine
  • Author : Alfredo Cesario,Frederick Marcus
  • Publisher :Unknown
  • Release Date :2011-08-21
  • Total pages :484
  • ISBN : 9400715676
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Summary : This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

Computational Biology of Cancer

Computational Biology of Cancer
  • Author : Dominik Wodarz,Natalia Komarova
  • Publisher :Unknown
  • Release Date :2005-01-24
  • Total pages :264
  • ISBN : 9789814481878
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Summary : ' The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses. Contents:Cancer and Somatic EvolutionMathematical Modeling of TumorigenesisCancer Initiation: One-Hit and Two-Hit Stochastic ModelsMicrosatellite and Chromosomal Istability in Sporadic and Familial CancersCellular Origins of CancerCosts and Benefits of Chromosomal InstabilityDNA Damage and Genetic InstabilityTissue Aging and the Development of CancerBasic Models of Tumor Inhibition and PromotionMechanisms of Tumor NeovascularizationCancer and Immune ResponsesTherapeutic Approaches: Viruses as Anti-Tumor Weapons Readership: Researchers and academics in bioinformatics, biocomputing, biomathematics, cell/molecular biology and cancer biology, as well as clinicians. Keywords:Mathematics Models;Computational Biology;Cancer Initiation;Cancer Progression;Somatic Evolution;Genetic Instability;Therapy;Oncolytic VirusesKey Features:Provides an introduction to computational methods in cancer biologyFollows a multi-disciplinary approachReviews:“This book adds aspects not covered by other books and, therefore, represents a valuable addition to the literature about mathematical models in cancer biology.”Zentralblatt MATH '

The Molecular Biology of Cancer

The Molecular Biology of Cancer
  • Author : Stella Pelengaris,Michael Khan
  • Publisher :Unknown
  • Release Date :2009-03-12
  • Total pages :544
  • ISBN : 9781444309089
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Summary : This comprehensive text provides a detailed overview of the molecular mechanisms underpinning the development of cancer and its treatment. Written by an international panel of researchers, specialists and practitioners in the field, the text discusses all aspects of cancer biology from the causes, development and diagnosis through to the treatment of cancer. Written by an international panel of researchers, specialists and practitioners in the field Covers both traditional areas of study and areas of controversy and emerging importance, highlighting future directions for research Features up-to-date coverage of recent studies and discoveries, as well as a solid grounding in the key concepts in the field Each chapter includes key points, chapter summaries, text boxes, and topical references for added comprehension and review Supported by a dedicated website at www.blackwellpublishing.com/pelengaris An excellent text for upper-level courses in the biology of cancer, for medical students and qualified practitioners preparing for higher exams, and for researchers and teachers in the field

Systems Biology

Systems Biology
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 9789814462907
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Summary :

Systems Biology

Systems Biology
  • Author : P. Bringmann,E. Butcher,G. Parry,B. Weiss
  • Publisher :Unknown
  • Release Date :2007-05-26
  • Total pages :177
  • ISBN : 9783540313397
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Summary : This volume features contributions from participants of an ESRF Workshop on "Systems Biology" held in Berkeley, USA, in November 2005. Significant progress has been made in developing technologies that enable systems interrogations at a molecular level. Recent successes and challenges of applying systems level measurements to the different steps of drug discovery and development in the pharmaceutical industry are summarized.

Understanding Cancer Therapies

Understanding Cancer Therapies
  • Author : Prakash Srinivasan Timiri Shanmugam
  • Publisher :Unknown
  • Release Date :2018-03-09
  • Total pages :174
  • ISBN : 9781351982955
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Summary : This book is an introduction to cancer treatment, the basics of radio- and chemotherapy, drug actions, the eradication of cancer cells, and the origins and persistence of pharmacological and toxicological effects of drugs. It further provides ideas for research based on knowledge of cancer metastasis, invasive and molecular pathways, and diagnosis and treatment. Many of the adaptive features of cancer biology, clinical features, pathology and treatment are reviewed. In addition to introducing the major themes and theories, the book also advances the current discussion by moving beyond explanations for clinical implementation. Key Selling Features: Reviews basic cancer treatments Summarizes chemotherapies Discusses radiotherapies Examines pharmacological and toxicological approaches to treatment Introduces oncological drug development

Epigenetics and Systems Biology

Epigenetics and Systems Biology
  • Author : Leonie Ringrose
  • Publisher :Unknown
  • Release Date :2017-04-25
  • Total pages :286
  • ISBN : 9780128030769
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Summary : Epigenetics and Systems Biology highlights the need for collaboration between experiments and theoretical modeling that is required for successful application of systems biology in epigenetics studies. This book breaks down the obstacles which exist between systems biology and epigenetics researchers due to information barriers and segmented research, giving real-life examples of successful combinations of systems biology and epigenetics experiments. Each section covers one type of modeling and one set of epigenetic questions on which said models have been successfully applied. In addition, the book highlights how modeling and systems biology relate to studies of RNA, DNA, and genome instability, mechanisms of DNA damage signaling and repair, and the effect of the environment on genome stability. Presents original research in a wider perspective to reveal potential for synergies between the two fields of study Provides the latest experiments in primary literature for the modeling audience Includes chapters written by experts in systems biology and epigenetics who have vast experience studying clinical applications

Journal of the National Cancer Institute

Journal of the National Cancer Institute
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2005
  • Total pages :229
  • ISBN : NYPL:33433068385107
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Summary :

Molecular Biology of the Cell

Molecular Biology of the Cell
  • Author : Bruce Alberts
  • Publisher :Unknown
  • Release Date :2004
  • Total pages :229
  • ISBN : 0815332181
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Summary :

Systems Biology in Cancer Immunotherapy

Systems Biology in Cancer Immunotherapy
  • Author : Mahbuba Rahman
  • Publisher :Unknown
  • Release Date :2016-06-07
  • Total pages :165
  • ISBN : 9781681083070
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Summary : Over the past decades, systems biology approaches have been applied in different areas of life science research including oncology. Researchers now understand the hallmarks of cancer cells such as abnormal cell growth, inflammation, dysregulated metabolic pathways and drug resistance properties at a molecular level. Systems biology approaches have enabled researchers to investigate cancer immunology by identifying cancer related biomarkers on immune cells, and to study the effect of different therapies in tissue cultures and mouse models. Systems Biology in Cancer Immunotherapy explains the scope of systems biology in understanding the immune response to neoplasms. The book introduces readers to the concepts crucial to cancer immunology before delving into the applied systems biology topics such as the metabolic pathways in cancer cells, the biomolecular roles of signal transduction molecules and their respective biochemical pathways ad cancer immunotherapy. A brief conclusion at the end also provides some information from a clinical and commercial perspective on cancer immunotherapy. This volume is intended as an introductory reference for life science and medical students, researchers and academics interested in the application of systems biology to the immune system in oncology research and chemotherapy practice.

Ecology and Evolution of Cancer

Ecology and Evolution of Cancer
  • Author : Beata Ujvari,Benjamin Roche,Frederic Thomas
  • Publisher :Unknown
  • Release Date :2017-02-08
  • Total pages :290
  • ISBN : 9780128043806
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Summary : Ecology and Evolution of Cancer is a timely work outlining ideas that not only represent a substantial and original contribution to the fields of evolution, ecology, and cancer, but also goes beyond by connecting the interfaces of these disciplines. This work engages the expertise of a multidisciplinary research team to collate and review the latest knowledge and developments in this exciting research field. The evolutionary perspective of cancer has gained significant international recognition and interest, which is fully understandable given that somatic cellular selection and evolution are elegant explanations for carcinogenesis. Cancer is now generally accepted to be an evolutionary and ecological process with complex interactions between tumor cells and their environment sharing many similarities with organismal evolution. As a critical contribution to this field of research the book is important and relevant for the applications of evolutionary biology to understand the origin of cancers, to control neoplastic progression, and to prevent therapeutic failures. Covers all aspects of the evolution of cancer, appealing to researchers seeking to understand its origins and effects of treatments on its progression, as well as to lecturers in evolutionary medicine Functions as both an introduction to cancer and evolution and a review of the current research on this burgeoning, exciting field, presented by an international group of leading editors and contributors Improves understanding of the origin and the evolution of cancer, aiding efforts to determine how this disease interferes with biotic interactions that govern ecosystems Highlights research that intends to apply evolutionary principles to help predict emergence and metastatic progression with the aim of improving therapies

Systems Biology in Cancer Research and Drug Discovery

Systems Biology in Cancer Research and Drug Discovery
  • Author : Asfar S Azmi
  • Publisher :Unknown
  • Release Date :2012-09-29
  • Total pages :424
  • ISBN : 9789400748187
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Summary : Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer.

Understanding Radiation Biology

Understanding Radiation Biology
  • Author : Kenneth Chadwick
  • Publisher :Unknown
  • Release Date :2019-11-15
  • Total pages :16
  • ISBN : 9781000733549
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Summary : This book provides a qualitative and quantitative exploration of the action of radiation on living matter which leads to a complete and coherent interpretation of radiation biology. It takes readers from radiation-induced molecular damage in the nucleus of the cell and links this damage to cellular effects such as cell killing, chromosome aberrations and mutations before exploring organ damage, organism lethality and cancer induction. It also deals with radiological protection concepts and the difficulties of predicting the dose–effect relationship for low-dose and dose rate radiation risk. The book ends with separate chapters dealing with the effects of UV light exposure and risk classification of chemical mutagens, both of which are derived by logical extensions of the radiation model. This book will provide the basic foundations of radiation biology for undergraduate and graduate students in medical physics, biomedical engineering, radiological protection, medicine, radiology and radiography. Features Presents a comprehensive insight into radiation action on living matter Contains important implications for radiological protection and regulations Provides analytical methods for applications in radiotherapy

Automated Reasoning for Systems Biology and Medicine

Automated Reasoning for Systems Biology and Medicine
  • Author : Pietro Liò,Paolo Zuliani
  • Publisher :Unknown
  • Release Date :2019-06-11
  • Total pages :474
  • ISBN : 9783030172978
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Summary : This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or “bugs”). Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions. Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: · Parameter inference from time series · Model selection · Network structure identification · Machine learning · Systems medicine · Hypothesis generation from experimental data · Systems biology, systems medicine, and digital pathology · Verification of biomedical devices “This book presents a comprehensive spectrum of model-focused analysis techniques for biological systems ...an essential resource for tracking the developments of a fast moving field that promises to revolutionize biology and medicine by the automated analysis of models and data.”Prof Luca Cardelli FRS, University of Oxford

Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach

Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach
  • Author : Kakoli Bose,Pradip Chaudhari
  • Publisher :Unknown
  • Release Date :2019-11-25
  • Total pages :583
  • ISBN : 9789813298163
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Summary : Unravelling the intricate cell signalling networks and their significance in cancer poses major intellectual challenge. Keeping this in mind, the book aims at understanding the mechanism of action of different proteins and their complexes in the cancer signalling pathways. Hence, the proposed book that comprises 20 chapters provides a comprehensive introduction on cell signalling, its alterations in cancer, molecules that have been popular targets as well as the ones that are emerging as targets. In addition, it discusses different forms of therapy that are coming up for its treatment. Other than that, a major portion of the book is focused on studying different disciplines at the interface of biology and other areas of science that are being used to understand cancer biology in depth.

Analyzing Network Data in Biology and Medicine

Analyzing Network Data in Biology and Medicine
  • Author : Nata a Pr ulj,Nataša Pržulj
  • Publisher :Unknown
  • Release Date :2019-03-28
  • Total pages :672
  • ISBN : 9781108432238
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Summary : Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.