Computational Methods for Single-Cell Data Analysis


Book Description

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.




High-Dimensional Single Cell Analysis


Book Description

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


Book Description

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.




Biosensors for Single-Cell Analysis


Book Description

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




Single Cell Analysis


Book Description

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.




Enzyme Activity in Single Cells


Book Description

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.




Single Cell Protein Analysis


Book Description

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.




Emerging Tools for Single-Cell Analysis


Book Description

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,




Encyclopedia of Bioinformatics and Computational Biology


Book Description

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




Hi-C Data Analysis


Book Description

This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. 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, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.