A Systems Biology Approach to Study Metabolic Syndrome PDF Download
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Author: Matej Orešič
Publisher: Springer Science & Business Media
ISBN: 3319010085
Category : Medical
Languages : en
Pages : 393
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Book Description
The aim of this book is to provide the target audience, specifically students of Medicine, Biology, Systems Biology and Bioinformatics, as well as experienced researchers in research fields relevant to metabolic syndrome (MetS) with an overview of the challenges and opportunities in systems biology and how it can be used to tackle MetS. In particular, the aims are: (1) to provide an introduction to the key biological processes involved in the pathophysiology of MetS; (2) through the use of specific examples, provide an introduction to the latest technologies that use a systems biology approach to study MetS; and (3) to give an overview of the mathematical modeling approaches for studying MetS. The clearly written chapters by leading experts in the field provides detailed descriptions crucial for the unique position of this book and its focus on the application of systems biology to tackle specific pathophysiologically relevant aspects of MetS and provides a valuable practical guide to this research community.
Author: Matej Orešič
Publisher: Springer Science & Business Media
ISBN: 3319010085
Category : Medical
Languages : en
Pages : 393
Get Book Here
Book Description
The aim of this book is to provide the target audience, specifically students of Medicine, Biology, Systems Biology and Bioinformatics, as well as experienced researchers in research fields relevant to metabolic syndrome (MetS) with an overview of the challenges and opportunities in systems biology and how it can be used to tackle MetS. In particular, the aims are: (1) to provide an introduction to the key biological processes involved in the pathophysiology of MetS; (2) through the use of specific examples, provide an introduction to the latest technologies that use a systems biology approach to study MetS; and (3) to give an overview of the mathematical modeling approaches for studying MetS. The clearly written chapters by leading experts in the field provides detailed descriptions crucial for the unique position of this book and its focus on the application of systems biology to tackle specific pathophysiologically relevant aspects of MetS and provides a valuable practical guide to this research community.
Author: Clinton Mielke
Publisher:
ISBN:
Category : Bioinformatics
Languages : en
Pages : 181
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Book Description
This dissertation investigates the condition of skeletal muscle insulin resistance using bioinformatics and computational biology approaches. Drawing from several studies and numerous data sources, I have attempted to uncover molecular mechanisms at multiple levels. From the detailed atomistic simulations of a single protein, to datamining approaches applied at the systems biology level, I provide new targets to explore for the research community. Furthermore I present a new online web resource that unifies various bioinformatics databases to enable discovery of relevant features in 3D protein structures.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 206
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Book Description
Author: Seetharaman Vaidyanathan
Publisher: Springer Science & Business Media
ISBN: 0387252401
Category : Science
Languages : en
Pages : 396
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Book Description
Metabolome analysis is now recognized as a crucial component of functional genomic and systems biology investigations. Innovative approaches to the study of metabolic regulation in microbial, plant and animal systems are increasingly facilitating the emergence of systems approaches in biology. This book highlights analytical and bioinformatics strategies now available for investigating metabolic networks in microbial, plant and animal systems. The contributing authors are world leaders in this field and they present an unambiguous case for pursuing metabolome analysis as a means to attain a systems level understanding of complex biological systems.
Author: Oliver A.H. Jones
Publisher: CABI
ISBN: 1780642008
Category : Science
Languages : en
Pages : 207
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Book Description
The metabolomics and systems biology approach to research can be applied to many disciplines. This book provides a solid introduction to medical metabolomics and systems biology, and demonstrates how they have been applied to studies in medicine and human health, including nutrition and pathogenic microorganisms. Following core themes of diagnosis, pathology and aetiology of disease, this book provides a reference for health care professionals interested in how to use metabolomics for medical research.
Author: Karsten Suhre
Publisher: Springer Science & Business Media
ISBN: 1461416892
Category : Medical
Languages : en
Pages : 328
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Book Description
This book is written by leading researchers in the fields about the intersection of genetics and metabolomics which can lead to more comprehensive studies of inborn variation of metabolism.
Author: Le Shu
Publisher:
ISBN:
Category :
Languages : en
Pages : 191
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Book Description
The past few decades have seen dramatic increase in the prevalence of metabolic diseases (MetDs) including obesity, type 2 diabetes (T2D) and cardiovascular disease (CVD), imposing unprecedented burden on public health worldwide. MetDs stem from a complex interplay of multiple genes and cumulative exposure to environmental risk factors, yet the exact etiology remains elusive. To address this challenge, I embarked interdisciplinary systems biology studies encompassing the development of a multi-omics integration tool, elucidation of genetically perturbed tissue networks shared by T2D and CVD, and examination of environmentally perturbed gene networks by a prevalent endocrine disrupting chemical (EDC). First, I developed a multi-omics integration pipeline named Mergeomics, which consists of independent modules that 1) leverage multi-omics association data to identify biological processes that are perturbed in disease, and 2) overlay the disease-associated processes onto molecular interaction networks to pinpoint hubs as potential key regulators. Unlike existing tools that are mostly dedicated to specific data type or settings, the Mergeomics pipeline accepts and integrates datasets across platforms, data types, and species. The performance of Mergeomics was demonstrated by both simulation and case studies that include genome-wide, epigenome-wide, and transcriptome-wide datasets of total cholesterol and fasting glucose. I then applied Mergeomics to identify the shared gene networks between CVD and T2D through a comprehensive integrative analysis driven by five multi-ethnic genome-wide association studies (GWAS) for CVD and T2D, expression quantitative trait loci (eQTLs), ENCODE, and tissue-specific gene network models from CVD and T2D relevant tissues. The shared networks captured both known and novel processes underlying CVD and T2D. I also predicted 15 key drivers for the shared gene networks and cross-validated the regulatory role of top key drivers using in vitro siRNA knockdown, in vivo gene knockout, and two Hybrid Mouse Diversity Panels each comprised of >100 strains. Lastly, I leveraged systems biology approaches to assess the target tissues, molecular pathways, and gene regulatory networks associated with a developmental exposure to the model EDC Bisphenol A (BPA). Prenatal BPA exposure was found to cause transcriptomic and methylomic alterations in the adipose, hypothalamus, and liver tissues in mouse offspring, with cross-tissue perturbations in lipid metabolism as well as tissue-specific alterations in histone subunits, glucose metabolism and extracellular matrix. Network modeling prioritized main molecular targets of BPA, including Pparg, Hnf4a, Esr1, and Fasn. Moreover, integrative analyses identified the association of BPA molecular signatures with MetDs phenotypes in mouse and human. In summary, I presented the community a flexible and robust computational pipeline for multidimensional data integration, and offered mechanistic insights into the genetic and environmental underpinnings of MetDs by exploiting the power of systems biology through both computational and experimental approaches.
Author: Jens Nielsen
Publisher: John Wiley & Sons
ISBN: 3527696172
Category : Computers
Languages : en
Pages : 528
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Book Description
Comprehensive coverage of the many different aspects of systems biology, resulting in an excellent overview of the experimental and computational approaches currently in use to study biological systems. Each chapter represents a valuable introduction to one specific branch of systems biology, while also including the current state of the art and pointers to future directions. Following different methods for the integrative analysis of omics data, the book goes on to describe techniques that allow for the direct quantification of carbon fluxes in large metabolic networks, including the use of 13C labelled substrates and genome-scale metabolic models. The latter is explained on the basis of the model organism Escherichia coli as well as the human metabolism. Subsequently, the authors deal with the application of such techniques to human health and cell factory engineering, with a focus on recent progress in building genome-scale models and regulatory networks. They highlight the importance of such information for specific biological processes, including the ageing of cells, the immune system and organogenesis. The book concludes with a summary of recent advances in genome editing, which have allowed for precise genetic modifications, even with the dynamic control of gene expression. This is part of the Advances Biotechnology series, covering all pertinent aspects of the field with each volume prepared by eminent scientists who are experts on the topic in question.
Author: Silas G. Villas-Boas
Publisher: John Wiley & Sons
ISBN: 047010550X
Category : Science
Languages : en
Pages : 339
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Book Description
Providing information on the main approaches for the analysis of metabolites, this textbook: Covers basic methodologies in sample preparation and separation techniques, as well as the most recent techniques of mass spectrometry. Differentiates between primary and secondary metabolites. Includes four chapters discussing successful metabolome studies of different organisms. Highlights the analytical challenges of studying metabolites. Illustrates applications of metabolome analysis through the use of case studies.
Author: Montgomery Blencowe
Publisher:
ISBN:
Category :
Languages : en
Pages : 226
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Book Description
Common complex metabolic diseases (MetDs) such as obesity, type 2 diabetes (T2D), coronary artery disease (CAD) and non-alcoholic fatty liver disease (NAFLD), impose an unprecedented burden on public health worldwide and demonstrate sex differences. Our general hypothesis is that genetic risk factors perturb set of genes in the form of functional gene networks, which subsequently induces the initiation and progression of MetDs. Following this hypothesis, our research focuses on dissecting the molecular networks that are perturbed by genetic risk factors of MetDs utilizing multiomics systems biology approaches. To address this challenge, I embarked interdisciplinary systems biology studies encompassing the development of an accessible multi-omics integration webserver, elucidation of genetically perturbed tissue networks in numerous MetDs, and uncovering the relative contribution of three sex factors in gene regulation in tissues relevant to MetDs. First, I contributed to the development of a user-friendly webserver for multiomics integration, network modeling, and network-based drug repositioning for complex diseases such as MetDs. Second, I investigated the genetically perturbed gene networks that underly various MetDs, namely, lipid traits, diabetes, CAD, and NAFLD. Third, I employed systems biology approaches to uncover the individual and interactive contribution of three sex factors (sex chromosomes, gonads, and sex hormones) in gene regulation in tissues relevant to MetDs. Completion of these projects offer a user-friendly bioinformatic tool, molecular insights, and drug candidates for MetDs.
