Computational Stem Cell Biology


Book Description

This volume details methods and protocols to further the study of stem cells within the computational stem cell biology (CSCB) field. Chapters are divided into four sections covering the theory and practice of modeling of stem cell behavior, analyzing single cell genome-scale measurements, reconstructing gene regulatory networks, and metabolomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Stem Cell Biology: Methods and Protocols will be an invaluable guide to researchers as they explore stem cells from the perspective of computational biology.




Computational Biology for Stem Cell Research


Book Description

Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. - Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. - Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. - Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.







Computational Stem Cell Biology


Book Description




Regenerative Medicine and Stem Cell Biology


Book Description

This textbook covers the basic aspects of stem cell research and applications in regenerative medicine. Each chapter includes a didactic component and a practical section. The book offers readers insights into: How to identify the basic concepts of stem cell biology and the molecular regulation of pluripotency and stem cell development. How to produce induced pluripotent stem cells (iPSCs) and the basics of transfection. The biology of adult stem cells, with particular emphasis on mesenchymal stromal cells and hematopoietic stem cells, and the basic mechanisms that regulate them. How cancer stem cells arise and metastasize, and their properties. How to develop the skills needed to isolate, differentiate and characterize adult stem The clinical significance of stem cell research and the potential problems that need to be overcome. Evaluating the use of stem cells for tissue engineering and therapies (the amniotic membrane) The applications of bio-nanotechnology in stem cell research. How epigenetic mechanisms, including various DNA modifications and histone dynamics, are involved in regulating the potentiality and differentiation of stem cells. The scientific methods, ethical considerations and implications of stem cell research.




Stem Cell Engineering


Book Description

This book describes a global assessment of stem cell engineering research, achieved through site visits by a panel of experts to leading institutes, followed by dedicated workshops. The assessment made clear that engineers and the engineering approach with its quantitative, system-based thinking can contribute much to the progress of stem cell research and development. The increased need for complex computational models and new, innovative technologies, such as high-throughput screening techniques, organ-on-a-chip models and in vitro tumor models require an increasing involvement of engineers and physical scientists. Additionally, this book will show that although the US is still in a leadership position in stem cell engineering, Asian countries such as Japan, China and Korea, as well as European countries like the UK, Germany, Sweden and the Netherlands are rapidly expanding their investments in the field. Strategic partnerships between countries could lead to major advances of the field and scalable expansion and differentiation of stem cells. This study was funded by the National Science Foundation (NSF), the National Institutes of Health (NIH) and the National Institute of Standards and Technology (NIST).




Stem Cells: A Very Short Introduction


Book Description

The topic of stem cells has a high profile in the media. We've made important advances in our scientific understanding, but despite this the clinical applications of stem cells are still in their infancy and most real stem cell therapy carried out today is some form of bone marrow transplantation. At the same time, a scandalous spread of unproven stem cell treatments by private clinics represents a serious problem, with treatments being offered which are backed by limited scientific rationale, and which are at best ineffective, and at worse harmful. This Very Short Introduction introduces stem cells, exploring what they are, and what scientists do with them. Introducing the different types of stem cells, Jonathan Slack explains how they can be used to treat diseases such as retinal degeneration, diabetes, Parkinson's disease, heart disease, and spinal trauma. He also discusses the important technique of bone marrow transplantation and some other types of current stem cell therapy, used for the treatment of blindness and of severe burns. Slack warns against fake stem cell treatments and discusses how to distinguish real from fake treatments. He also describes the latest scientific progress in the field, and looks forward to what we can expect to happen in the next few years Very Short Introductions: Brilliant, Sharp, Inspiring ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.




Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling


Book Description

The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.




Stem Cells


Book Description

The second edition of Stem Cells: Scientific Facts and Fiction provides the non-stem cell expert with an understandable review of the history, current state of affairs, and facts and fiction of the promises of stem cells. Building on success of its award-winning preceding edition, the second edition features new chapters on embryonic and iPS cells and stem cells in veterinary science and medicine. It contains major revisions on cancer stem cells to include new culture models, additional interviews with leaders in progenitor cells, engineered eye tissue, and xeno organs from stem cells, as well as new information on "organs on chips" and adult progenitor cells. In the past decades our understanding of stem cell biology has increased tremendously. Many types of stem cells have been discovered in tissues that everyone presumed were unable to regenerate in adults, the heart and the brain in particular. There is vast interest in stem cells from biologists and clinicians who see the potential for regenerative medicine and future treatments for chronic diseases like Parkinson's, diabetes, and spinal cord lesions, based on the use of stem cells; and from entrepreneurs in biotechnology who expect new commercial applications ranging from drug discovery to transplantation therapies. - Explains in straightforward, non-specialist language the basic biology of stem cells and their applications in modern medicine and future therapy - Includes extensive coverage of adult and embryonic stem cells both historically and in contemporary practice - Richly illustrated to assist in understanding how research is done and the current hurdles to clinical practice




Computational Molecular Biology


Book Description

Recently molecular biology has undergone unprecedented developmentgenerating vast quantities of data needing sophisticatedcomputational methods for analysis, processing and archiving. Thisrequirement has given birth to the truly interdisciplinary field ofcomputational biology, or bioinformatics, a subject reliant on boththeoretical and practical contributions from statistics,mathematics, computer science and biology. * Provides the background mathematics required to understand whycertain algorithms work * Guides the reader through probability theory, entropy andcombinatorial optimization * In-depth coverage of molecular biology and protein structureprediction * Includes several less familiar algorithms such as DNAsegmentation, quartet puzzling and DNA strand separationprediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate studentsfrom bioinformatics, computer science, statistics, mathematics andthe biological sciences, this text will also interest researchersfrom these fields.