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Book Systems Biology and Single cell Analysis of Cancer Metabolism and its Role in Cancer Emergent Properties

Download or read book Systems Biology and Single cell Analysis of Cancer Metabolism and its Role in Cancer Emergent Properties written by Dongya Jia and published by Frontiers Media SA. This book was released on 2023-06-21 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Systems Biology of Cancer

Download or read book Systems Biology of Cancer written by Sam Thiagalingam and published by Cambridge University Press. This book was released on 2015-04-09 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Book The Heterogeneity of Cancer Metabolism

Download or read book The Heterogeneity of Cancer Metabolism written by Anne Le and published by Springer. This book was released on 2018-06-26 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic 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.

Book The Science and Applications of Synthetic and Systems Biology

Download or read book The Science and Applications of Synthetic and Systems Biology written by Institute of Medicine and published by National Academies Press. This book was released on 2011-12-30 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many potential applications of synthetic and systems biology are relevant to the challenges associated with the detection, surveillance, and responses to emerging and re-emerging infectious diseases. On March 14 and 15, 2011, the Institute of Medicine's (IOM's) Forum on Microbial Threats convened a public workshop in Washington, DC, to explore the current state of the science of synthetic biology, including its dependency on systems biology; discussed the different approaches that scientists are taking to engineer, or reengineer, biological systems; and discussed how the tools and approaches of synthetic and systems biology were being applied to mitigate the risks associated with emerging infectious diseases. The Science and Applications of Synthetic and Systems Biology is organized into sections as a topic-by-topic distillation of the presentations and discussions that took place at the workshop. Its purpose is to present information from relevant experience, to delineate a range of pivotal issues and their respective challenges, and to offer differing perspectives on the topic as discussed and described by the workshop participants. This report also includes a collection of individually authored papers and commentary.

Book Systems Biology in Cancer Research and Drug Discovery

Download or read book Systems Biology in Cancer Research and Drug Discovery written by Asfar S Azmi and published by Springer Science & Business Media. This book was released on 2012-09-29 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Computational Intelligence Methods for Bioinformatics and Biostatistics

Download or read book Computational Intelligence Methods for Bioinformatics and Biostatistics written by Paolo Cazzaniga and published by Springer Nature. This book was released on 2020-12-09 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.

Book Preclinical Models and Emerging Technologies to Study the Effects of the Tumor Microenvironment on Cancer Heterogeneity and Drug Resistance

Download or read book Preclinical Models and Emerging Technologies to Study the Effects of the Tumor Microenvironment on Cancer Heterogeneity and Drug Resistance written by Giulia Adriani and published by Frontiers Media SA. This book was released on 2023-10-26 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Cancer as a Metabolic Disease

Download or read book Cancer as a Metabolic Disease written by Thomas Seyfried and published by John Wiley & Sons. This book was released on 2012-05-18 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book addresses controversies related to the origins of cancer and provides solutions to cancer management and prevention. It expands upon Otto Warburg's well-known theory that all cancer is a disease of energy metabolism. However, Warburg did not link his theory to the "hallmarks of cancer" and thus his theory was discredited. This book aims to provide evidence, through case studies, that cancer is primarily a metabolic disease requring metabolic solutions for its management and prevention. Support for this position is derived from critical assessment of current cancer theories. Brain cancer case studies are presented as a proof of principle for metabolic solutions to disease management, but similarities are drawn to other types of cancer, including breast and colon, due to the same cellular mutations that they demonstrate.

Book How Tobacco Smoke Causes Disease

Download or read book How Tobacco Smoke Causes Disease written by United States. Public Health Service. Office of the Surgeon General and published by . This book was released on 2010 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report considers the biological and behavioral mechanisms that may underlie the pathogenicity of tobacco smoke. Many Surgeon General's reports have considered research findings on mechanisms in assessing the biological plausibility of associations observed in epidemiologic studies. Mechanisms of disease are important because they may provide plausibility, which is one of the guideline criteria for assessing evidence on causation. This report specifically reviews the evidence on the potential mechanisms by which smoking causes diseases and considers whether a mechanism is likely to be operative in the production of human disease by tobacco smoke. This evidence is relevant to understanding how smoking causes disease, to identifying those who may be particularly susceptible, and to assessing the potential risks of tobacco products.

Book Cancer Metabolomics

    Book Details:
  • Author : Shen Hu
  • Publisher : Springer Nature
  • Release : 2021-04-01
  • ISBN : 3030516520
  • Pages : 317 pages

Download or read book Cancer Metabolomics written by Shen Hu and published by Springer Nature. This book was released on 2021-04-01 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer metabolomics is a rapidly evolving field that aims for a comprehensive dissection of the metabolic phenotypes and functional network of metabolites in human cancers. State of the art metabolomics tools have been developed and applied to studying cancer metabolism and developing metabolic targets for improved diagnosis, prognosis and therapeutic treatment of human cancers. Chapters are written by subject experts in the field of cancer metabolomics with cross-disciplinary contributions. Coverage includes advanced metabolomics technologies and methodologies, including chemical isotope labelling liquid chromatography - mass spectrometry, capillary ion chromatography - mass spectrometry, 2-D gas chromatography – mass spectrometry, capillary electrophoresis – mass spectrometry, nuclear magnetic resonance spectroscopy, shotgun lipidomics, tracer-based metabolomics, microbial metabolomics, mass spectrometry imaging for single cell metabolomics and functional metabolomics. In addition, the book highlights new discoveries in cancer metabolism such as hypoxia inducible factor pathway, isocitrate dehydrogenase 1 mutation and oncometabolites. Finally, contributors focus on the translational applications of metabolomics in human cancers such as glioma, head and neck cancer, and gastric cancer. This new volume will be a unique reference source for cancer researchers and promote applications of metabolomics in understanding cancer metabolism.

Book Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues

Download or read book Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues written by Luis Olivares-Quiroz and published by Springer. This book was released on 2018-02-26 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research on the use of physical and mathematical formalisms to model and quantitatively analyze biological phenomena ranging from microscopic to macroscopic systems. The systems discussed in this compilation cover protein folding pathways, gene regulation in prostate cancer, quorum sensing in bacteria to mathematical and physical descriptions to analyze anomalous diffusion in patchy environments and the physical mechanisms that drive active motion in large sets of particles, both fundamental descriptions that can be applied to different phenomena in biology. All chapters are written by well-known experts on their respective research fields with a vast amount of scientific discussion and references in order the interested reader can pursue a further reading. Given these features, we consider Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues as an excellent and up-to-date resource and reference for advanced undergraduate students, graduate students and junior researchers interested in the latest developments at the intersection of physics, mathematics, molecular biology, and computational sciences. Such research field, without hesitation, is one of the most interesting, challenging and active of this century and the next.

Book Cancer Evolution

    Book Details:
  • Author : Charles Swanton
  • Publisher : Perspectives Cshl
  • Release : 2017
  • ISBN : 9781621821434
  • Pages : 350 pages

Download or read book Cancer Evolution written by Charles Swanton and published by Perspectives Cshl. This book was released on 2017 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expand, accumulate new mutations, and are subjected to selective pressures from the environment, including anticancer interventions. This process, termed clonal evolution, can lead to the emergence of therapy-resistant tumors and poses a major challenge for cancer eradication efforts. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines cancer progression as an evolutionary process and explores how this way of looking at cancer may lead to more effective strategies for managing and treating it. The contributors review efforts to characterize the subclonal architecture and dynamics of tumors, understand the roles of chromosomal instability, driver mutations, and mutation order, and determine how cancer cells respond to selective pressures imposed by anticancer agents, immune cells, and other components of the tumor microenvironment. They compare cancer evolution to organismal evolution and describe how ecological theories and mathematical models are being used to understand the complex dynamics between a tumor and its microenvironment during cancer progression. The authors also discuss improved methods to monitor tumor evolution (e.g., liquid biopsies) and the development of more effective strategies for managing and treating cancers (e.g., immunotherapies). This volume will therefore serve as a vital reference for all cancer biologists as well as anyone seeking to improve clinical outcomes for patients with cancer.

Book Metabolism in Cancer

    Book Details:
  • Author : Thorsten Cramer
  • Publisher : Springer
  • Release : 2016-08-24
  • ISBN : 3319421182
  • Pages : 272 pages

Download or read book Metabolism in Cancer written by Thorsten Cramer and published by Springer. This book was released on 2016-08-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents concise chapters written by internationally respected experts on various important aspects of cancer-associated metabolism, offering a comprehensive overview of the central features of this exciting research field. The discovery that tumor cells display characteristic alterations of metabolic pathways has significantly changed our understanding of cancer: while the first description of tumor-specific changes in cellular energetics was published more than 90 years ago, the causal significance of this observation for the pathogenesis of cancer was only discovered in the post-genome era. The first 10 years of the twenty-first century were characterized by rapid advances in our grasp of the functional role of cancer-specific metabolism as well as the underlying molecular pathways. Various unanticipated interrelations between metabolic alterations and cancer-driving pathways were identified and currently await translation into diagnostic and therapeutic applications. Yet the speed, quantity, and complexity of these new discoveries make it difficult for researchers to keep up to date with the latest developments, an issue this book helps to remedy.

Book Next Generation      T Cell Based Tumor Immunotherapy

Download or read book Next Generation T Cell Based Tumor Immunotherapy written by Andy Hee-Meng Tan and published by Frontiers Media SA. This book was released on 2022-11-11 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Computational Methods for Understanding Complexity  The Use of Formal Methods in Biology

Download or read book Computational Methods for Understanding Complexity The Use of Formal Methods in Biology written by David A. Rosenblueth, and published by Frontiers Media SA. This book was released on 2016-11-21 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complexity of living organisms surpasses our unaided habilities of analysis. Hence, computational and mathematical methods are necessary for increasing our understanding of biological systems. At the same time, there has been a phenomenal recent progress allowing the application of novel formal methods to new domains. This progress has spurred a conspicuous optimism in computational biology. This optimism, in turn, has promoted a rapid increase in collaboration between specialists of biology with specialists of computer science. Through sheer complexity, however, many important biological problems are at present intractable, and it is not clear whether we will ever be able to solve such problems. We are in the process of learning what kind of model and what kind of analysis and synthesis techniques to use for a particular problem. Some existing formalisms have been readily used in biological problems, others have been adapted to biological needs, and still others have been especially developed for biological systems. This Research Topic has examples of cases (1) employing existing methods, (2) adapting methods to biology, and (3) developing new methods. We can also see discrete and Boolean models, and the use of both simulators and model checkers. Synthesis is exemplified by manual and by machine-learning methods. We hope that the articles collected in this Research Topic will stimulate new research.

Book Hepatocellular Carcinoma

Download or read book Hepatocellular Carcinoma written by Brian I. Carr and published by Springer. This book was released on 2016-08-26 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Hepatocellular carcinoma (HCC) used to be regarded as a rare disease. However, the increasing numbers of chronic HCC carriers in the U.S. and subsequent increased incidences of HCC seen in most large medical centers means that it is no longer an uncommon disease for gastroenterologists or oncologists to encounter and its incidence and epidemiology are changing. During this exciting time in the field of HCC basic science and clinical management, many changes are simultaneously occurring at multiple levels of our understanding and management of the disease. Suddenly, there are several new choices of therapy to offer patients. Hepatocellular Carcinoma, 3rd edition addresses this fast-changing disease and gives the reader a clearer understanding of the many mechanisms involved in carcinogenesis of the liver. This comprehensive and detailed review of how to diagnose and treat hepatocellular carcinoma is written by international leaders in the field, covering both clinical treatment choices and the basic science underlying HCC development. Updated and enhanced from the last edition in 2009, Hepatocellular Carcinoma, 3rd edition features 12 new chapters including discussion of molecular markers, molecular hepatocarcinogenesis, microenvironment, heterogeneity, the new and exciting contributions of immunotherapy, and updates on the major effective hepatitis therapies that will transform HCC incidence and perhaps also the therapy. This cutting-edge text is a vital resource and must-have for today’s hepatologists and medical and surgical oncologists. "This is a well written text and should be a good reference book for those who see patients with HCC.." - Practical Gastroenterology "...a useful tool for both physicians and surgeons with a specific interest in the management of patients with HCC." - Digestive and Liver Disease

Book Application of Bioinformatics in Cancers

Download or read book Application of Bioinformatics in Cancers written by Chad Brenner and published by MDPI. This book was released on 2019-11-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.