Essentials Of Single Cell Analysis
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Author | : Fan-Gang Tseng |
Publisher | : Springer |
Total Pages | : 415 |
Release | : 2016-01-21 |
Genre | : Technology & Engineering |
ISBN | : 3662491184 |
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.
Author | : Guo-Cheng Yuan |
Publisher | : Humana Press |
Total Pages | : 271 |
Release | : 2019-02-14 |
Genre | : Science |
ISBN | : 9781493990566 |
This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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 Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
Author | : Jin-Ming Lin |
Publisher | : Springer Nature |
Total Pages | : 263 |
Release | : 2019-08-28 |
Genre | : Science |
ISBN | : 9813297298 |
This book summarizes the various microfluidic-based approaches for single-cell capture, isolation, manipulation, culture and observation, lysis, and analysis. Single-cell analysis reveals the heterogeneities in morphology, functions, composition, and genetic performance of seemingly identical cells, and advances in single-cell analysis can overcome the difficulties arising due to cell heterogeneity in the diagnostics for a targeted model of disease. This book provides a detailed review of the state-of-the-art techniques presenting the pros and cons of each of these methods. It also offers lessons learned and tips from front-line investigators to help researchers overcome bottlenecks in their own studies. Highlighting a number of techniques, such as microfluidic droplet techniques, combined microfluidics-mass-spectrometry systems, and nanochannel sampling, it describes in detail a new microfluidic chip-based live single-cell extractor (LSCE) developed in the editor’s laboratory, which opens up new avenues to use open microfluidics in single-cell extraction, single-cell mass spectrometric analysis, single-cell adhesion analysis and subcellular operations. Serving as both an elementary introduction and advanced guidebook, this book interests and inspires scholars and students who are currently studying or wish to study microfluidics-based cell analysis methods.
Author | : |
Publisher | : Academic Press |
Total Pages | : 326 |
Release | : 2019-10-29 |
Genre | : Science |
ISBN | : 0128170905 |
Enzyme Activity in Single Cells, Volume 628, the latest release in the Methods of Enzymology series, discusses groundbreaking cellular physiology research that is taking place in the biological sciences. Chapters in this new release cover Spatial and temporal resolution of caspase waves in single Xenopus eggs during apoptosis, Spatial and temporal organization of metabolic complexes in cells, Measuring cellular efflux and biomolecular delivery: synthetic approaches to imaging and engineering cells, Slide-based, single-cell enzyme assays, Single-cell assays using integrated continuous-flow microfluidics, High-throughput screening of single-cell lysates, Microfluidic capture of single cells for drug resistance assays, and much more.
Author | : Valentina Proserpio |
Publisher | : |
Total Pages | : 452 |
Release | : 2019 |
Genre | : Cytology |
ISBN | : 9781493992423 |
This volume provides a comprehensive overview for investigating biology at the level of individual cells. Chapters are organized into eight parts detailing a single-cell lab, single cell DNA-seq, RNA-seq, single cell proteomic and epigenetic, single cell multi-omics, single cell screening, and single cell live imaging. 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, Single Cell Methods: Sequencing and Proteomics aims to make each experiment easily reproducible in every lab.
Author | : Alexander Anderson |
Publisher | : Springer Science & Business Media |
Total Pages | : 346 |
Release | : 2007-08-08 |
Genre | : Mathematics |
ISBN | : 376438123X |
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.
Author | : |
Publisher | : Elsevier |
Total Pages | : 3421 |
Release | : 2018-08-21 |
Genre | : Medical |
ISBN | : 0128114320 |
Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases
Author | : William L. William L. Hamilton |
Publisher | : Springer Nature |
Total Pages | : 141 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 3031015886 |
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Author | : Jian Chen |
Publisher | : Academic Press |
Total Pages | : 184 |
Release | : 2021-10-26 |
Genre | : Science |
ISBN | : 0323885594 |
Biosensors for Single-Cell Analysis explores a wide range of biosensor technologies and their applications in single-cell characterization and analysis. Sections cover key biophysical and chemical single-cell properties that consider proteomic, metabolic, electrical, mechanical and optical properties. Each chapter features key definitions and case studies, providing detailed guidance for researchers who want to replicate covered solutions in their work. Tutorial sections, evaluations of the current state-of-the-field and future developments are also included. Microfluidic approaches to characterization, such as microfluidic impedance flow cytometry and microfluidic flow cytometry are considered alongside more conventional approaches, such as mass spectroscopy, fluorescent and mass flow cytometry. Additionally, key types of biosensors are covered, including atomic force microscopy, micropipette aspiration, optical tweezers, microfluidic hydrodynamic stretchers, microfluidic constriction channel and microfluidic optical stretchers. - Includes chapters focused on key single-cell properties, such as proteomic, metabolic and mechanical characterization - Features case studies that illustrate the application of biosensors for single-cell analysis - Considers microfluidic approaches for each single-cell property discussed - Explores future directions for single-cell analysis and biosensor technology
Author | : Anup K. Singh |
Publisher | : Humana |
Total Pages | : 0 |
Release | : 2015-11-07 |
Genre | : Science |
ISBN | : 9781493929863 |
This volume highlights recent developments in flow cytometry, affinity assays, imaging, mass spectrometry, microfluidics and other technologies that enable analysis of proteins at the single cell level. The book also includes chapters covering a suite of biochemical and biophysical methods capable of making an entire gamut of proteomic measurements, including analysis of protein abundance or expression, protein interaction networks, post-translational modifications, translocation and enzymatic activity. 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 thorough, Single Cell Protein Analysis: Methods and Protocols is useful to researchers and students in biological and biomedical sciences who have an interest in proteomic measurements in cells.