Systems Immunology – Landscaping Immune Regulatory Networks

Systems Immunology – Landscaping Immune Regulatory Networks PDF Author: Aridaman Pandit
Publisher: Frontiers Media SA
ISBN: 288974860X
Category : Medical
Languages : en
Pages : 180

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Book Description

Systems Immunology – Landscaping Immune Regulatory Networks

Systems Immunology – Landscaping Immune Regulatory Networks PDF Author: Aridaman Pandit
Publisher: Frontiers Media SA
ISBN: 288974860X
Category : Medical
Languages : en
Pages : 180

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Book Description


Translational Immunology

Translational Immunology PDF Author: Seng-Lai Tan
Publisher: Academic Press
ISBN: 0128017570
Category : Medical
Languages : en
Pages : 386

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Book Description
Translational Immunology: Mechanisms and Pharmacologic Approaches highlights and summarizes the most important advances in human immunology, clinical translations, new tools to analyze therapeutic targets, and new pharmacological approaches for autoimmunity, inflammatory disorders, and cancer. The book is an essential resource for those seeking to understand the potential translational applications of burgeoning studies in human immunology, helping readers make sense of the existing and emerging scientific advances. The book grounds fundamental science in the translational realm, providing insights from world renowned researchers at the top of their game in their respective fields, in both industry and academic settings. Readers will gain an understanding of the rationale and mechanisms underlying current and emerging pharmacologic approaches for interventional immunology, the gaps therein, and new ideas for better and safer therapeutic approaches, and physicians will glean information about pharmacological limitations in altering disease progression and complications. This reference on the translational realization of the burgeoning findings in immunology provides a go-to reference for experienced professional clinicians, researchers, industry scientists, and those seeking more information on the field. - Delivers comprehensive coverage of seminal human immunology discoveries and the resulting impact on therapeutic strategies - Presents potential novel targets and approaches for clinical applications in organ specific and systemic autoimmunity, transplant rejection, cancer, and vaccine development - Discusses lessons learned from successful and failed clinical trials with specific interventions, including pharmacological issues and limitations, and complications due to immunosuppression - Provides information on new strategies and outstanding issues that should be addressed in future research

Cellular and Molecular Communication Networks within the Cutaneous Immune System

Cellular and Molecular Communication Networks within the Cutaneous Immune System PDF Author: Tina Sumpter
Publisher: Frontiers Media SA
ISBN: 2832532934
Category : Medical
Languages : en
Pages : 148

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Book Description
As the outermost barrier of the body, the skin protects against bacterial, viral, and environmental assaults. To reach this end, epidermal and dermal resident cells have evolved intricate communication networks, involving innate and adaptive immune cells, epithelial cells, and neurons. In disease states, skin resident cells are aided by recruited immune cells, such as neutrophils, basophils, and eosinophils. Initially, these cell types were studied in isolation, but recent focus has shifted towards understanding how physical interactions between cells and communication initiated by soluble mediators facilitate coordinated immune responses in the cutaneous microenvironment to maintain homeostasis, preserve barrier function, and, effectively clear bacterial, viral or fungal assailants. In this Research Topic, the goal is to highlight recent advances in cutaneous biology and immunology to provide insight into the cellular networks underlying the generation and regulation of cutaneous immune responses. Recent advances in this area have described novel pathways regulating skin-resident memory T cells, keratinocytes-immune cell interactions, and the relationships between sensory neurons and immune cells in the skin. Cumulatively, these studies provide a framework for understanding the complex interactions that are necessary for maintaining host protection, and homeostasis and reveal novel targetable pathways for patients with skin disease.

Mathematical Modeling of the Immune System in Homeostasis, Infection and Disease

Mathematical Modeling of the Immune System in Homeostasis, Infection and Disease PDF Author: Gennady Bocharov
Publisher: Frontiers Media SA
ISBN: 2889634612
Category :
Languages : en
Pages : 278

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Book Description
The immune system provides the host organism with defense mechanisms against invading pathogens and tumor development and it plays an active role in tissue and organ regeneration. Deviations from the normal physiological functioning of the immune system can lead to the development of diseases with various pathologies including autoimmune diseases and cancer. Modern research in immunology is characterized by an unprecedented level of detail that has progressed towards viewing the immune system as numerous components that function together as a whole network. Currently, we are facing significant difficulties in analyzing the data being generated from high-throughput technologies for understanding immune system dynamics and functions, a problem known as the ‘curse of dimensionality’. As the mainstream research in mathematical immunology is based on low-resolution models, a fundamental question is how complex the mathematical models should be? To respond to this challenging issue, we advocate a hypothesis-driven approach to formulate and apply available mathematical modelling technologies for understanding the complexity of the immune system. Moreover, pure empirical analyses of immune system behavior and the system’s response to external perturbations can only produce a static description of the individual components of the immune system and the interactions between them. Shifting our view of the immune system from a static schematic perception to a dynamic multi-level system is a daunting task. It requires the development of appropriate mathematical methodologies for the holistic and quantitative analysis of multi-level molecular and cellular networks. Their coordinated behavior is dynamically controlled via distributed feedback and feedforward mechanisms which altogether orchestrate immune system functions. The molecular regulatory loops inherent to the immune system that mediate cellular behaviors, e.g. exhaustion, suppression, activation and tuning, can be analyzed using mathematical categories such as multi-stability, switches, ultra-sensitivity, distributed system, graph dynamics, or hierarchical control. GB is supported by the Russian Science Foundation (grant 18-11-00171). AM is also supported by grants from the Spanish Ministry of Economy, Industry and Competitiveness and FEDER grant no. SAF2016-75505-R, the “María de Maeztu” Programme for Units of Excellence in R&D (MDM-2014-0370) and the Russian Science Foundation (grant 18-11-00171).

Computational Systems Biology

Computational Systems Biology PDF Author: Joseph Xu Zhou
Publisher: Elsevier Inc. Chapters
ISBN: 0128070137
Category : Medical
Languages : en
Pages : 59

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Book Description
In this chapter, we introduced the basic concepts of cell attractors and showed that Waddington’s metaphoric epigenetic landscape has a formal basis in the attractor landscape. This conceptual framework helps to understand core properties of cell differentiation and ultimately, multicellularity. Specifically, we developed the concept of relative stability of network states on the epigenetic landscape, thus providing the elevation in the landscape picture a formal, quantifiable basis. We proposed methods to quantify the relative stability of attractor states in discrete gene networks models. We show in two examples that even with incomplete information about network structures, the use of Boolean networks can capture the essential outlines of cell fate dynamics and more importantly, permit the estimation of relative stability and the attractor transition barriers. These measures hold great promise for the rational design of the perturbation protocols for cell reprogramming in regenerative medicine. As the knowledge of the structure of GRNs for the development of various tissues will undoubtedly increase in the next decade, the utilization of such network information for therapeutic reprogramming may benefit from the concepts developed here.

Systems Immunology

Systems Immunology PDF Author: Jayajit Das
Publisher: CRC Press
ISBN: 1498717411
Category : Science
Languages : en
Pages : 355

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Book Description
"Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.

Autophagy: Cancer, Other Pathologies, Inflammation, Immunity, Infection, and Aging

Autophagy: Cancer, Other Pathologies, Inflammation, Immunity, Infection, and Aging PDF Author: M. A. Hayat
Publisher: Academic Press
ISBN: 0128029528
Category : Medical
Languages : en
Pages : 420

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Book Description
Volume 8 Autophagy and Human Diseases, concentrates on the role of Autophagy in human diseases, including tumorigenesis. The diseases discussed include melanoma, liver cancer, pancreatic cancer, and neurodegenerative disorders. Loss of autophagy in the central nervous system causes neurodegeneration (Alzheimers disease, Huntington's disease, Parkin's disease, and Amyotrophic Lateral Sclerosis). Melanoma is one of the most serious diseases in humans. Autophagy plays a key role in the anticancer response to Chemotherapy. However, autophagy can increase or decrease the effectiveness of chemotherapy. The reasons for these contradictory effects are explained. Autophagy also plays a role in idiopathic inflammatory diseases, infection, and immunity. An explanation is given how autophagy is closely linked to control of innate and adaptive immune responses in host defense in part by regulating cytokine production. The role of autophagy in cutaneous malignant melanoma is discussed in detail and expression of Beclin 1 and LC3 autophagic genes in melanoma is included to explain the molecular mechanisms underlying this very serious disease, which tends to metastasize to the brain. The effect of the treatment of this disease using Terfenadine through the induction of autophagy and apoptosis is also included. Autophagy and apoptosis are two main mechanisms involved in programmed cell death. - Presents the most advanced information regarding the role of the autophagic system in life and death and whether autophagy acts fundamentally as a cell survivor, or cell death pathway, or both - Introduces new, more effective therapeutic strategies, in the development of targeted drugs and programmed cell death, providing information that will aid on preventing detrimental inflammation - States recent advancements in the molecular mechanisms underlying a large number of genetic and epigenetic diseases and abnormalities

Immunometabolic Mechanisms Underlying the Severity of COVID-19

Immunometabolic Mechanisms Underlying the Severity of COVID-19 PDF Author: Galileo Escobedo
Publisher: Frontiers Media SA
ISBN: 2889767957
Category : Medical
Languages : en
Pages : 308

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Book Description


Thinking About Biology

Thinking About Biology PDF Author: Wilfred Stein
Publisher: CRC Press
ISBN: 0429972288
Category : Science
Languages : en
Pages : 272

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Book Description
This book discusses the emergence of life, the development of the individual, and the study of the interaction between individuals and species. It gives the student of theoretical biology some idea of the flavor of current research in the field.

Modeling Methods for Medical Systems Biology

Modeling Methods for Medical Systems Biology PDF Author: María Elena Álvarez-Buylla Roces
Publisher: Springer
ISBN: 3319893548
Category : Science
Languages : en
Pages : 273

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Book Description
This book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach.