Systems Biology Of Tumor Physiology PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Systems Biology Of Tumor Physiology PDF full book. Access full book title Systems Biology Of Tumor Physiology.
Author | : David H. Nguyen |
Publisher | : Springer |
Total Pages | : 68 |
Release | : 2015-12-11 |
Genre | : Medical |
ISBN | : 3319256017 |
Download Systems Biology of Tumor Physiology Book in PDF, ePub and Kindle
This exciting SpringerBrief presents evidence for new ideas that will challenge several theories of how cancer biology is understood. Cancer biology has undergone several intellectual revolutions in the past 50 years. A mutation-centric view of cancer has given way to the tumor microenvironment view. Reductionistic studies of one gene at a time have given way to systems biology approaches that analyze the whole genome (omics) at the same time. However, this text combines the complex levels studying cancer at the molecular biology level, endocrinology level, and transcriptomics level. What researchers are now realizing is that there is a need to combine omics with physiology concepts in order to better understand cancer and this book will give insight to the merging of these two fields in order to define how cancer is studied in the future.
Author | : Katarzyna A. Rejniak |
Publisher | : Springer |
Total Pages | : 264 |
Release | : 2016-10-13 |
Genre | : Medical |
ISBN | : 3319420232 |
Download Systems Biology of Tumor Microenvironment Book in PDF, ePub and Kindle
This 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 | : Osbaldo Resendis-Antonio |
Publisher | : Frontiers Media SA |
Total Pages | : 144 |
Release | : 2017-11-23 |
Genre | : |
ISBN | : 2889453332 |
Download Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer Book in PDF, ePub and Kindle
Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options. Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current “omics” technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell’s metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research.
Author | : Heiko Enderling |
Publisher | : Springer Science & Business Media |
Total Pages | : 298 |
Release | : 2012-11-09 |
Genre | : Science |
ISBN | : 1461414458 |
Download Systems Biology of Tumor Dormancy Book in PDF, ePub and Kindle
This volume is based on the Workshop on Systems Biology of Tumor Dormancy meeting, held July 25th to July 28th, 2011. The first annual CCSB workshop brought together biologists, clinicians, mathematicians, and computer scientists to discuss various aspects of tumor dormancy and develop novel mathematical/computational models with the keynote speakers. Specific topics included the angiogenic switch, immune system interactions, cancer stem cells and signaling.
Author | : Sam Thiagalingam |
Publisher | : Cambridge University Press |
Total Pages | : 597 |
Release | : 2015-04-09 |
Genre | : Mathematics |
ISBN | : 0521493390 |
Download Systems Biology of Cancer Book in PDF, ePub and Kindle
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
Author | : Albrecht Reichle |
Publisher | : Springer Science & Business Media |
Total Pages | : 438 |
Release | : 2013-07-01 |
Genre | : Medical |
ISBN | : 9400768664 |
Download Evolution-adjusted Tumor Pathophysiology: Book in PDF, ePub and Kindle
Combined modularized therapies for metastatic cancer are pointing to central problems of communication among ‘systems participators’. A communication theory explains 'social engineering', endogenously induced or by implementing non-normative boundary conditions. Evolution-adjusted tumor pathophysiology is borne by an evolution theory, which contrasts narrative evolution histories. The tool of rationalizations constituting the tumor's normativity (inflammation, immune response etc.) represents the non-genomic counterpart of the tumor genome and should be additionally assessed during tumor staging. Evolution-adjusted tumor pathophysiology allows implementing applied systems biology, a novel clinical and pharmaceutical technology for bioengineering tumor response and personalizing tumor therapy. Combined modularized therapy, evolution-adjusted tumor pathophysiology, and ‘universal’ biomarkers concertedly address genetically based tumor heterogeneity.
Author | : Edwin Wang |
Publisher | : CRC Press |
Total Pages | : 456 |
Release | : 2010-05-04 |
Genre | : Computers |
ISBN | : 9781439811863 |
Download Cancer Systems Biology Book in PDF, ePub and Kindle
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
Author | : |
Publisher | : |
Total Pages | : 0 |
Release | : 2017 |
Genre | : |
ISBN | : |
Download Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer Book in PDF, ePub and Kindle
Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options.Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current "omics" technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell's metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research.
Author | : Hsueh-Fen Juan |
Publisher | : |
Total Pages | : 326 |
Release | : 2012 |
Genre | : Oncology |
ISBN | : |
Download Systems Biology Book in PDF, ePub and Kindle
Author | : Alberto D'Onofrio |
Publisher | : Springer Science & Business Media |
Total Pages | : 398 |
Release | : 2013-01-25 |
Genre | : Mathematics |
ISBN | : 8847025710 |
Download New Challenges for Cancer Systems Biomedicine Book in PDF, ePub and Kindle
The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.