Download or read book Single Cell Analysis in Biotechnology and Systems Biology written by Fan-Gang Tseng and published by MDPI. This book was released on 2018-10-01 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Single Cell Analysis in Biotechnology and Systems Biology" that was published in IJMS

Download or read book Single Cell Analysis in Biotechnology and Systems Biology written by and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Cells play significant roles in our day to day life. However, the interactions of cells, the cellular responses of organelles to molecules, and their intracellular behaviour, are still not fully understood. To better understand the physiological interactions among molecules, organelles, and cells, the ensemble measurement of (on average, millions of) cells cannot provide detailed information. However, for example, research concerning the differentiation behaviors of stem cells or the metastatic processes of tumour initiation requires detailed information. Understanding genomic sequence information at a single cell level can promote an understanding of how individual parts of a cell are integrated in time and space to form dynamic cellular processes. The relationship between cellular heterogeneity and signaling pathway regulation may result in an understanding of disease states that can potentially drive therapeutic interventions. Thus single cell analysis (SCA) has been emerging as a powerful method of investigating exciting new insights into genomics, fluxomics, proteomics, and systems biology.

Download or read book Essentials of Single Cell Analysis written by Fan-Gang Tseng and published by Springer. This book was released on 2016-01-21 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of single-cell isolation, separation, injection, lysis and dynamics analysis as well as a study of their heterogeneity using different miniaturized devices. As an important part of single-cell analysis, different techniques including electroporation, microinjection, optical trapping, optoporation, rapid electrokinetic patterning and optoelectronic tweezers are described in detail. It presents different fluidic systems (e.g. continuous micro/nano-fluidic devices, microfluidic cytometry) and their integration with sensor technology, optical and hydrodynamic stretchers etc., and demonstrates the applications of single-cell analysis in systems biology, proteomics, genomics, epigenomics, cancer transcriptomics, metabolomics, biomedicine and drug delivery systems. It also discusses the future challenges for single-cell analysis, including the advantages and limitations. This book is enjoyable reading material while at the same time providing essential information to scientists in academia and professionals in industry working on different aspects of single-cell analysis. Dr. Fan-Gang Tseng is a Distinguished Professor of Engineering and System Science at the National Tsing Hua University, Taiwan. Dr. Tuhin Subhra Santra is a Research Associate at the California Nano Systems Institute, University of California at Los Angeles, USA.

Download or read book New Frontiers of Network Analysis in Systems Biology written by Avi Ma'ayan and published by Springer Science & Business Media. This book was released on 2012-06-25 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.

Download or read book Handbook of Statistical Bioinformatics written by Henry Horng-Shing Lu and published by Springer Nature. This book was released on 2022-12-08 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.

Download or read book Computational Systems Biology in Medicine and Biotechnology written by Sonia Cortassa and published by Springer Nature. This book was released on 2022-05-23 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses the latest state-of-the-art systems biology-oriented approaches that--driven by big data and bioinformatics--are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology. The chapters in this book are organized into six parts: systems biology of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns of rhythms, morphogenesis, and complex dynamics; and genome scale metabolic modeling in biotechnology. In every chapter, readers will find varied methodological approaches applied at different levels, from molecular, cellular, organ to organisms, genome to phenome, and health and disease. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics; criteria utilized for applying specific methodologies; lists of the necessary materials, reagents, software, databases, algorithms, mathematical models, and dedicated analytical procedures; step-by-step, readily reproducible laboratory, bioinformatics, and computational protocols all delivered in didactic and clear style and abundantly illustrated with express case studies and tutorials; and tips on troubleshooting and advice for achieving reproducibility while avoiding mistakes and misinterpretations. The overarching goal driving this volume is to excite the expert and stimulate the newcomer to the field of Computational Systems Biology. Cutting-edge and authoritative, Computational Systems Biology in Medicine and Biotechnology: Methods and Protocols is a valuable resource for pre- and post-graduate students in medicine and biotechnology, and in diverse areas ranging from microbiology to cellular and organismal biology, as well as computational and experimental biologists, and researchers interested in utilizing comprehensive systems biology oriented methods.

Download or read book Systems Biology written by Jens Nielsen and published by John Wiley & Sons. This book was released on 2017-03-21 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Essentials of Single Cell Analysis written by John Maclane and published by Createspace Independent Publishing Platform. This book was released on 2017-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of single-cell isolation, separation, injection, lysis and dynamics analysis as well as a study of their heterogeneity using different miniaturized devices. As an important part of single-cell analysis, different techniques including electroporation, microinjection, optical trapping, optoporation, rapid electrokinetic patterning and optoelectronic tweezers are described in detail. It presents different fluidic systems (e.g. continuous micro/nano-fluidic devices, microfluidic cytometry) and their integration with sensor technology, optical and hydrodynamic stretchers etc., and demonstrates the applications of single-cell analysis in systems biology, proteomics, genomics, epigenomics, cancer transcriptomics, metabolomics, biomedicine and drug delivery systems. It also discusses the future challenges for single-cell analysis, including the advantages and limitations.

Download or read book Gene Expression Data Analysis written by Pankaj Barah and published by CRC Press. This book was released on 2021-11-21 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data. Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and biological sciences

Download or read book Handbook of Single Cell Technologies written by Tuhin Subhra Santra and published by Springer. This book was released on 2021-10-29 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a brief overview of single-cell analysis using recent advanced technologies. The different sections cover different aspect of single cell analysis and applications with their advantages, limitations, and future challenges. The book has covered how different physical energies such as optical, electrical, and mechanical energy have been applied for single cell therapy and analysis. The recent advanced micro/nanofluidic devices have been employed for single-cell counting, manipulation, cultivation, separation, isolation, lysis, printing and patterning and host-viral interaction at single-cell level. Various chemical approaches for single-cell analysis have been discussed, such as liposome mediated materials transfer at single-cell and their analysis, discovery of antibody via single-cell, high-throughput screening of antigen-specific antibody-secreting cells, and biomolecular secretion analysis of individual cells. Moreover, different single-cell omics such as genomics, proteomics and transcriptomics have been discussed using microfluidic technologies as well as conventional approaches. The role of single cell analysis in system biology and biocatalysis have been discussed in detail. The book describes single-cell phenotyping of heterogeneous tissue, stimulation, and instant reaction quenching technology for biochemical kinetic analysis, large scale single-cell assay for the identification of biocatalysts and analytical techniques for single-cell studies in microbiology. The role of single-cell analysis in cancer, such as single-cell adhesion and cancer progression, single-cell technologies for cancer therapy, analytical technology for single cancer cell analysis, and biophysical markers for cancer cell analysis have been discussed. The flow cytometry based high throughput single-cell analysis have been well emphasized. Finally this book has covered single-cell electrophysiology, single-cell sensing and size measurement using mechanical and microwave resonators, molecular force spectroscopy for cell adhesion measurement, micro-tweezers and force microscopy techniques for single-cell mechanobiological analysis, mass spectrometry and acoustic tweezers for single-cell manipulation and analysis. This book is intended for academic and industrial researchers, undergraduate and graduate students in the fields of biomedical engineering, bio-micro/nanoengineering, and bio-micro/nano fabrication for single-cell analysis. It can be used for courses on bio-MEMS/bio-NEMS, biomicrofluidics, bio-micro/nanofabrications, micro/nanofluidics, biophysics, single cell analysis, bionanotechnology, drug delivery systems and biomedical microdevices. Collective contributions from respected experts, have brought diverse aspects of single-cell technologies in a single hand book. This will benefit researchers and practitioners in the biotechnology industry for different diseases analysis, therapeutics, diagnostics, drug discovery, drug screening etc. In addition to hard copies, the book will be available online and will often be updated by the authors.

Download or read book Systems Biology in Biotech Pharma written by Ales Prokop and published by Springer Science & Business Media. This book was released on 2012-01-05 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The US is currently well ahead of the rest of the world in the development and application of SB and its principles especially as they pertain to basic medical research and development. This lead is largely due to its earlier start in the academic arena. However, there is evidence of rapid development in both the UK/EU and Japan, and the gap is narrowing, particularly in the UK. From an industrial point of view, the Pharmaceutical Industry based in the US and UK can capitalize on these opportunities and gain the benefits of this technology. Many educational institutions (particularly their medical divisions) at present are heavily business-oriented, realize that in this particular industrial environment, that every dollar counts.

Download or read book Practical Systems Biology written by Alistair Hetherington and published by Garland Science. This book was released on 2008-11-19 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems biology is the study of organisms as interacting networks of genes, proteins and reactions. Practical Systems Biology provides a detailed overview of the different approaches used in this relatively new discipline, integrating bioinformatics, genomics, proteomics and metabolomics. Various areas of research are also discussed, including the use of computational models of biological processes, and post-genomic research. Each chapter is written by an experienced researcher and gives an excellent account of various issues of systems biology that is suitable for postgraduate and postdoctoral researchers who are interested in this expanding area of science.

Download or read book Single Cell Based Models in Biology and Medicine written by Alexander Anderson and published by Springer Science & Business Media. This book was released on 2007-08-08 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.

Download or read book Systems Biology written by Andreas Kremling and published by CRC Press. This book was released on 2013-11-12 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the latest research in the field, Systems Biology: Mathematical Modeling and Model Analysis presents many methods for modeling and analyzing biological systems, in particular cellular systems. It shows how to use predictive mathematical models to acquire and analyze knowledge about cellular systems. It also explores how the models are sy

Download or read book Advances in Systems Biology written by Igor I. Goryanin and published by Springer Science & Business Media. This book was released on 2011-12-08 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Society for Systems Biology (ISSB) is a society aimed at advancing world-wide systems biology research by providing a forum for scientific discussions and various academic services. The ISSB helps coordinate researchers to form alliances for meeting the unique needs of multidisciplinary and international systems biology research. The annual International Conference on Systems Biology (ICSB) serves as the main meeting for the society and is one of the largest academic and commercial gatherings under the broad heading of ‘Systems Biology’.

Download or read book Single Cell Analysis written by Miodrag Gužvić and published by Springer Nature. This book was released on 2024-02-10 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the latest advancements and techniques used to study cell analysis, their capabilities, and the type of results that can be obtained. The chapters in this book cover topics such as FACS; fluorescence microscopy; organic spectroscopy such as MALDI; inorganic spectroscopy such as ICP-MS; and sequencing. 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. Cutting-edge and practical, Single Cell Analysis: Methods and Protocols is a valuable tool for any researcher interested in learning more about this important and developing field.

Download or read book Single Cell Omics written by Debmalya Barh and published by Academic Press. This book was released on 2019-07-30 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single-cell Omics, Volume 2: Advances in Applications provides the latest single-cell omics applications in the field of biomedicine. The advent of omics technologies have enabled us to identify the differences between cell types and subpopulations at the level of the genome, proteome, transcriptome, epigenome, and in several other fields of omics. The book is divided into two sections: the first is dedicated to biomedical applications, such as cell diagnostics, non-invasive prenatal testing (NIPT), circulating tumor cells, breast cancer, gliomas, nervous systems and autoimmune disorders, and more. The second focuses on cell omics in plants, discussing micro algal and single cell omics, and more. This book is a valuable source for bioinformaticians, molecular diagnostic researchers, clinicians and several members of biomedical field interested in understanding more about single-cell omics and its potential for research and diagnosis. Covers the diverse single cell omics applications in the biomedical field Summarizes the latest progress in single cell omics and discusses potential future developments for research and diagnosis Written by experts across the world, it brings different points-of-view and study cases to fully give a comprehensive overview of the topic