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Author: Sam Thiagalingam
Publisher: Cambridge University Press
Published: 2015-04-09
Total Pages: 597
ISBN-13: 0521493390
DOWNLOAD EBOOKAn overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
Author: Edwin Wang
Publisher: CRC Press
Published: 2010-05-04
Total Pages: 458
ISBN-13: 1439811865
DOWNLOAD EBOOKThe unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorgenesis, cancer research is enjoying a series of new discoveries and biological insights. Unique in its dualistic approach, this book introduces the concepts and theories of systems biology and their applications in cancer research. It presents basic cancer biology and cutting-edge topics of cancer research for computational biologists alongside systems biology analysis tools for experimental biologists.
Author: Katarzyna A. Rejniak
Publisher: Springer
Published: 2016-10-13
Total Pages: 264
ISBN-13: 3319420232
DOWNLOAD EBOOKThis edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment. Each chapter presents a different mathematical model designed to investigate the interactions between tumor cells and the surrounding stroma and stromal cells. The topics covered in this book include the quantitative image analysis of a tumor microenvironment, the microenvironmental barriers in oxygen and drug delivery to tumors, the development of tumor microenvironmental niches and sanctuaries, intravenous transport of the circulating tumor cells, the role of the tumor microenvironment in chemotherapeutic interventions, the interactions between tumor cells, the extracellular matrix, the interstitial fluid, and the immune and stromal cells. Mathematical models discussed here embrace both continuous and agent-based approaches, as well as mathematical frameworks of solid mechanics, fluid dynamics and optimal control theory. The topics in each chapter will be of interest to a biological community wishing to apply the mathematical methods to interpret their experimental data, and to a biomathematical audience interested in exploring how mathematical models can be used to address complex questions in cancer biology.
Author: Dominik Wodarz
Publisher: World Scientific
Published: 2005-01-24
Total Pages: 266
ISBN-13: 9814481874
DOWNLOAD EBOOKThe 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.
Author: Emmanuel Barillot
Publisher: CRC Press
Published: 2012-08-25
Total Pages: 463
ISBN-13: 1439831440
DOWNLOAD EBOOKThe 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.
Author: Sanguthevar Rajasekaran
Publisher: Springer
Published: 2009-04-22
Total Pages: 463
ISBN-13: 3642007279
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.
Author: Monika Schäfer-Korting
Publisher: Springer Nature
Published: 2021-03-25
Total Pages: 325
ISBN-13: 3030700631
DOWNLOAD EBOOKThis book provides latest findings in organotypic models in drug development and provides the scientific resonance needed in an emerging field of research in disciplines, such as molecular medicine, physiology, and pathophysiology. Today the research on human-based test systems has gained major interest and funding in the EU and the US has increased over the last years. Moreover, so-called 3R (reduce, replace, refine animal experiments) centres have been established worldwide.
Author: Sujit Kumar Bhutia
Publisher: Springer Nature
Published: 2020-10-24
Total Pages: 284
ISBN-13: 9811569304
DOWNLOAD EBOOKThis book deals with the paradoxical role of autophagy in tumor suppression and tumor promotion in cancer cells. Autophagy plays opposing, context-dependent roles in tumors; accordingly, strategies based on inhibiting or stimulating autophagy could offer as potential cancer therapies. The book elucidates the physiological role of autophagy in modulating cancer metastasis, which is the primary cause of cancer-associated mortality. Further, it reviews its role in the differentiation, development, and activation of multiple immune cells, and its potential applications in tumor immunotherapy. In addition, it examines the effect of epigenetic modifications of autophagy-associated genes in regulating tumor growth and therapeutic response and summarizes autophagy’s role in the development of resistance to a variety of anti-cancer drugs in cancer cells. In closing, it assesses autophagy as a potential therapeutic target for cancer treatment. Given its scope, the book offers a valuable asset for all oncologists and researchers who wish to understand the potential role of autophagy in tumor biology.
Author: Thomas S. Deisboeck
Publisher: CRC Press
Published: 2010-12-08
Total Pages: 492
ISBN-13: 1439814422
DOWNLOAD EBOOKCancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of dat
Author: Anne Le
Publisher: Springer
Published: 2018-06-26
Total Pages: 186
ISBN-13: 331977736X
DOWNLOAD EBOOKGenetic alterations in cancer, in addition to being the fundamental drivers of tumorigenesis, can give rise to a variety of metabolic adaptations that allow cancer cells to survive and proliferate in diverse tumor microenvironments. This metabolic flexibility is different from normal cellular metabolic processes and leads to heterogeneity in cancer metabolism within the same cancer type or even within the same tumor. In this book, we delve into the complexity and diversity of cancer metabolism, and highlight how understanding the heterogeneity of cancer metabolism is fundamental to the development of effective metabolism-based therapeutic strategies. Deciphering how cancer cells utilize various nutrient resources will enable clinicians and researchers to pair specific chemotherapeutic agents with patients who are most likely to respond with positive outcomes, allowing for more cost-effective and personalized cancer therapeutic strategies.
