Essentials Of Single Cell Analysis

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Essentials of Single-Cell Analysis

Author : Fan-Gang Tseng
Publisher : Springer
ISBN 13 : 3662491184
Total Pages : 415 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Essentials of Single-Cell Analysis by : Fan-Gang Tseng

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.

Essentials of Single-Cell Analysis

Author : John Maclane
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781548019211
Total Pages : 386 pages
Book Rating : 4.0/5 (192 download)

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Book Synopsis Essentials of Single-Cell Analysis by : John Maclane

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.

Computational Methods for Single-Cell Data Analysis

Author : Guo-Cheng Yuan
Publisher : Humana Press
ISBN 13 : 9781493990566
Total Pages : 271 pages
Book Rating : 4.9/5 (95 download)

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Book Synopsis Computational Methods for Single-Cell Data Analysis by : Guo-Cheng Yuan

Download or read book Computational Methods for Single-Cell Data Analysis written by Guo-Cheng Yuan and published by Humana Press. This book was released on 2019-02-14 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Single Cell Analysis

Author : J. Paul Robinson
Publisher : Springer
ISBN 13 : 9811044996
Total Pages : 277 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Single Cell Analysis by : J. Paul Robinson

Download or read book Single Cell Analysis written by J. Paul Robinson and published by Springer. This book was released on 2017-04-18 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the current state of the art in single cell analysis, an area that involves many fields of science – from clinical hematology, functional analysis and drug screening, to platelet and microparticle analysis, marine biology and fundamental cancer research. This book brings together an eclectic group of current applications, all of which have a significant impact on our current state of knowledge. The authors of these chapters are all pioneering researchers in the field of single cell analysis. The book will not only appeal to those readers more focused on clinical applications, but also those interested in highly technical aspects of the technologies. All of the technologies identified utilize unique applications of photon detection systems.

High-Dimensional Single Cell Analysis

Author : Harris G. Fienberg
Publisher : Springer
ISBN 13 : 364254827X
Total Pages : 224 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis High-Dimensional Single Cell Analysis by : Harris G. Fienberg

Download or read book High-Dimensional Single Cell Analysis written by Harris G. Fienberg and published by Springer. This book was released on 2014-04-22 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights the most interesting biomedical and clinical applications of high-dimensional flow and mass cytometry. It reviews current practical approaches used to perform high-dimensional experiments and addresses key bioinformatic techniques for the analysis of data sets involving dozens of parameters in millions of single cells. Topics include single cell cancer biology; studies of the human immunome; exploration of immunological cell types such as CD8+ T cells; decipherment of signaling processes of cancer; mass-tag cellular barcoding; analysis of protein interactions by proximity ligation assays; Cytobank, a platform for the analysis of cytometry data; computational analysis of high-dimensional flow cytometric data; computational deconvolution approaches for the description of intracellular signaling dynamics and hyperspectral cytometry. All 10 chapters of this book have been written by respected experts in their fields. It is an invaluable reference book for both basic and clinical researchers.

Microfluidics for Single-Cell Analysis

Author : Jin-Ming Lin
Publisher : Springer Nature
ISBN 13 : 9813297298
Total Pages : 261 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Microfluidics for Single-Cell Analysis by : Jin-Ming Lin

Download or read book Microfluidics for Single-Cell Analysis written by Jin-Ming Lin and published by Springer Nature. This book was released on 2019-08-28 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Emerging Tools for Single-Cell Analysis

Author : Gary Durack
Publisher : John Wiley & Sons
ISBN 13 : 0471461008
Total Pages : 375 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Emerging Tools for Single-Cell Analysis by : Gary Durack

Download or read book Emerging Tools for Single-Cell Analysis written by Gary Durack and published by John Wiley & Sons. This book was released on 2004-03-24 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The resurgence of interest in high-resolution evaluation of single-cell properties has led to examining where current technology stands at the beginning of a new millennium. Engineers and scientists have produced significant advances in cytometric technologies in just the past few years. Emerging Tools for Single-Cell Analysis: Advances in Optical Measurement Technologies stresses the applications and theories behind some of these advances in cell measurement and cell- sorting technologies. Rapid assessment of the proper function of cells and molecular processes within cells is essential. To that end, new and varying technologies present important diagnostic and prognostic tools relevant to a variety of diseases. Future developments in miniaturization of electronics, micro- and nanomachines, and biomedical engineering are certain to impact cell biology. New analytical technologies are revolutionizing our ability to functionally characterize, isolate, and manipulate single cells. This timely book offers researchers and design engineers much-needed information as they further develop technologies for cell analysis. By comparing and contrasting various approaches, the authors explain how those technologies converge toward similar goals: evaluating the properties of cells and sorting cells on those properties using optically-based measurement systems. Emerging Tools for Single-Cell Analysis offers scientists and engineers a vision of the exciting possibilities that exist as new technologies are applied to single-cell analysis,

Single Cell Analysis

Author : Miodrag Gužvić
Publisher : Springer Nature
ISBN 13 : 1071636219
Total Pages : 263 pages
Book Rating : 4.0/5 (716 download)

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Book Synopsis Single Cell Analysis by : Miodrag Gužvić

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.

Single Cell Analysis in Biotechnology and Systems Biology

Author : Fan-Gang Tseng
Publisher : MDPI
ISBN 13 : 3038421936
Total Pages : 237 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Single Cell Analysis in Biotechnology and Systems Biology by : Fan-Gang Tseng

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

Single Cell Sequencing and Systems Immunology

Author : Xiangdong Wang
Publisher : Springer
ISBN 13 : 9401797536
Total Pages : 184 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Single Cell Sequencing and Systems Immunology by : Xiangdong Wang

Download or read book Single Cell Sequencing and Systems Immunology written by Xiangdong Wang and published by Springer. This book was released on 2015-03-27 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author’s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.

Single Cell Analysis

Author : Tuhin Subhra Santra
Publisher : MDPI
ISBN 13 : 3036506284
Total Pages : 254 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Single Cell Analysis by : Tuhin Subhra Santra

Download or read book Single Cell Analysis written by Tuhin Subhra Santra and published by MDPI. This book was released on 2021-06-02 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits.

Single Cell Methods

Author : Valentina Proserpio
Publisher :
ISBN 13 : 9781493992423
Total Pages : 452 pages
Book Rating : 4.9/5 (924 download)

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Book Synopsis Single Cell Methods by : Valentina Proserpio

Download or read book Single Cell Methods written by Valentina Proserpio and published by . This book was released on 2019 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Single Cell Analysis

Author : Dario Anselmetti
Publisher : John Wiley & Sons
ISBN 13 : 3527626654
Total Pages : 284 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Single Cell Analysis by : Dario Anselmetti

Download or read book Single Cell Analysis written by Dario Anselmetti and published by John Wiley & Sons. This book was released on 2009-03-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first-ever comprehensive overview of the methods used in this key technology in modern biology provides the latest working knowledge needed by every scientist entering this growing field. It covers all the current technology and application areas, from microscopy and spectroscopy to proteomics and microfluidics.

Enzyme Activity in Single Cells

Author :
Publisher : Academic Press
ISBN 13 : 0128170905
Total Pages : 326 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Enzyme Activity in Single Cells by :

Download or read book Enzyme Activity in Single Cells written by and published by Academic Press. This book was released on 2019-11-12 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Enzymology series Includes the latest information on Enzyme Activity in Single Cells

Single Cell Analysis: Technologies and Future Prospects

Author : Forest Pearson
Publisher : Syrawood Publishing House
ISBN 13 : 9781647403645
Total Pages : 0 pages
Book Rating : 4.4/5 (36 download)

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Book Synopsis Single Cell Analysis: Technologies and Future Prospects by : Forest Pearson

Download or read book Single Cell Analysis: Technologies and Future Prospects written by Forest Pearson and published by Syrawood Publishing House. This book was released on 2023-09-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single cell analysis (SCA) is a widely recognized method for elucidating cellular functions that are not accessible through bulk measurements on the population-level. The understanding of genomic sequence at the single cell level can help in developing a better understanding of how various parts of a cell are combined in space and time in order to create dynamic cellular processes. SCA has affected and influenced a variety of scientific fields including immunology, cancer biology, and neuroscience. It involves the miniaturization of conventional engineering concepts in order to fit within the confines of a single cell. The major technologies used for single cell analysis include single-cell sequencing, single-cell imagers, microfluidic droplet technology platforms and flow cytometry. This book explores all the important aspects of single cell analysis in the present day scenario. Those in search of information to further their knowledge will be greatly assisted by it.

Handbook of Single-Cell Technologies

Author : Tuhin Subhra Santra
Publisher : Springer
ISBN 13 : 9789811089527
Total Pages : 1096 pages
Book Rating : 4.0/5 (895 download)

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Book Synopsis Handbook of Single-Cell Technologies by : Tuhin Subhra Santra

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.

Graph Representation Learning

Author : William L. William L. Hamilton
Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Representation Learning by : William L. William L. Hamilton

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.