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Author: Osbaldo Resendis-Antonio
Publisher: Frontiers Media SA
ISBN: 2889453332
Category :
Languages : en
Pages : 144
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Book Description
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: Osbaldo Resendis-Antonio
Publisher: Frontiers Media SA
ISBN: 2889453332
Category :
Languages : en
Pages : 144
Get Book Here
Book Description
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:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
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: Sam Thiagalingam
Publisher: Cambridge University Press
ISBN: 0521493390
Category : Mathematics
Languages : en
Pages : 597
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Book Description
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
Author: Asfar S Azmi
Publisher: Springer Science & Business Media
ISBN: 9400748183
Category : Medical
Languages : en
Pages : 424
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Book Description
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.
Author: Kartik M. Mani
Publisher:
ISBN:
Category :
Languages : en
Pages : 254
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Book Description
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309219396
Category : Science
Languages : en
Pages : 570
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Book Description
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.
Author: David (Wei) Dai
Publisher:
ISBN:
Category :
Languages : en
Pages : 233
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Book Description
Cancer is an umbrella term that encompasses a collection of related diseases. In all types of cancer, as cells become unregulated, they begin to divide uncontrollably and spread into surrounding tissues. From early to late stages of disease progression, there are many alterations that occur and many criteria that must be met for cancer to proliferate uncontrollable, resist cell death, avoid the immune system, and metastasize. Targeted therapy have been developed for a wide range of dysregulated cancer pathways using different modalities and mechanism of actions. However, due to the diversity of cancer, the same treatment that may be effective for one type of cancer may not be responsive on another. Furthermore, patients may carry resistance forms of the disease. To alleviate this, new strategies have been developed to target specific mutations of known dysregulated proteins and to use combination therapies that target multiple pathways. However, both methods require vast amount of knowledge on the biological interactions and mechanism of actions that takes place within the cell. To address this knowledge gap, we believe that the metabolism can be used as a tool to better understand the dysregulations of signaling and gene expression. There is a great opportunity to study the system as a whole to gain key insights for combination therapies that target different regulatory pathways, such as the metabolism and signaling. In this work, we leveraged our current understanding of signaling transduction, transcription factor, and metabolic networks to develop an integrated systems biology approach to quantitatively unravel the mechanisms that regulate cancer. Ultimately, we were able to establish a computational model that incorporated mechanistic understanding of multiple layers of cellular decision making. We believe this work will be useful in the development and evaluation of new combination therapy across all form of cancers.
Author: Fabio Bagnoli
Publisher: Springer Nature
ISBN: 3030624528
Category : Medical
Languages : en
Pages : 265
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Book Description
This edited volume discusses the application of very diverse human organotypic models in major areas of biomedical research. The authors lay a main focus on infectious diseases, cancer, allergies, as well as drug/vaccine discovery and toxicology studies. Representing a valid alternative to laboratory animals, these models are relevant for most areas of translational research. As the contemporary research shows, many human tissues can today be cultivated in vitro and used for several research objectives. This book provides an unprecedented overview of recent developments in an exciting field of research methodology. It is a reference guide for scientists in both academia and industry. Readers can update their knowledge and get hands-on recommendations on how to set up an organotypic model in their lab. Chapters 'Progress on Reconstructed Human Skin Models for Allergy Research and Identifying Contact Sensitizers' and 'Human Organotypic Models for Anti-infective Research' of this book are available open access under a CC BY 4.0 license at link.springer.com.
Author: Thomas Seyfried
Publisher: John Wiley & Sons
ISBN: 1118310306
Category : Science
Languages : en
Pages : 482
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Book Description
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.
Author: Anne Le
Publisher: Springer
ISBN: 331977736X
Category : Medical
Languages : en
Pages : 186
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Book Description
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.
