Light Microscopic Analysis of Mitochondrial Heterogeneity in Cell Populations and Within Single Cells, by S. Jakobs, S. Stoldt, and D. Neumann * Advanced Microscopy of Microbial Cells, by J. A. J. Haagensen, B. Regenberg, and C. Sternberg * Algebraic and Geometric Understanding of Cells, Epigenetic Inheritance of Phenotypes Between Generations, by K. Yasuda * Measuring the Mechanical Properties of Single Microbial Cells, by C. R. Thomas, J. D. Stenson, and Z. Zhang * Single Cell Analytics: Pushing the Limits of the Doable, by H. Kortmann, L.M. Blank, and A. Schmid * Cultivation-Independent Assessment of Bacterial Viability, by F. Hammes, M. Berney, and T. Egli * Resolution of Natural Microbial Community Dynamics by Community Fingerprinting, Flow Cytometry and Trend Interpretation Analysis, by P. Bombach, T. Hübschmann, I. Fetzer, S. Kleinsteuber, R. Geyer, H. Harms, and S. Müller *Multivariate Data Analysis Methods for the Interpretation of Microbial Flow Cytometric Data, by H.M. Davey, and C.L. Davey * From Single Cells to Microbial Population Dynamics: Modelling in Biotechnology Based on Measurements of Individual Cells, by T. Bley

Light Microscopic Analysis of Mitochondrial Heterogeneity in Cell Populations and Within Single Cells, by S. Jakobs, S. Stoldt, and D. Neumann * Advanced Microscopy of Microbial Cells, by J. A. J. Haagensen, B. Regenberg, and C. Sternberg * Algebraic and Geometric Understanding of Cells, Epigenetic Inheritance of Phenotypes Between Generations, by K. Yasuda * Measuring the Mechanical Properties of Single Microbial Cells, by C. R. Thomas, J. D. Stenson, and Z. Zhang * Single Cell Analytics: Pushing the Limits of the Doable, by H. Kortmann, L.M. Blank, and A. Schmid * Cultivation-Independent Assessment of Bacterial Viability, by F. Hammes, M. Berney, and T. Egli * Resolution of Natural Microbial Community Dynamics by Community Fingerprinting, Flow Cytometry and Trend Interpretation Analysis, by P. Bombach, T. Hübschmann, I. Fetzer, S. Kleinsteuber, R. Geyer, H. Harms, and S. Müller *Multivariate Data Analysis Methods for the Interpretation of Microbial Flow Cytometric Data, by H.M. Davey, and C.L. Davey * From Single Cells to Microbial Population Dynamics: Modelling in Biotechnology Based on Measurements of Individual Cells, by T. Bley

This volume contains cutting-edge reviews by world-leading experts on the systems biology of microorganisms. As well as covering theoretical approaches and mathematical modelling this book includes case studies on single microbial species of bacteria and archaea, and explores the systems analysis of microbial phenomena such as chemotaxis and phagocytosis. Topics covered include mathematical models for systems biology, systems biology of Escherichia coli metabolism, bacterial chemotaxis, systems biology of infection, host-microbe interactions, phagocytosis, system-level study of metabolism in M.

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.

This book explores the significance of soil microbial diversity to understand its utility in soil functions, ecosystem services, environmental sustainability, and achieving the sustainable development goals. With a focus on agriculture and environment, the book highlights the importance of the microbial world by providing state-of-the-art technologies for examining the structural and functional attributes of soil microbial diversity for applications in healthcare, industrial biotechnology, and bioremediation studies. In seven chapters, the book will act as a primer for students, environmental biotechnologists, microbial ecologists, plant scientists, and agricultural microbiologists. Chapter 1 introduces readers to the soil microbiome, and chapter 2 discusses the below ground microbial world. Chapter 3 addresses various methods for exploring microbial diversity, chapter 4 discusses the genomics methods, chapter 5 provides the metaproteomics and metatranscriptomics approaches and chapter 6 details the bioinformatics tools for soil microbial community analysis, and chapter 7 concludes the text with future perspectives on further soil microbial uses and applications.

Cells, the basic units of biological structure and function, vary broadly in type and state. Individual cells are the building blocks of tissues, organs, and organisms. Each tissue contains cells of many types, and cells of each type can switch among biological states. Single-cell genomics, transcriptomics and epigenomics open a whole new era with the possibility to interrogate every cell of an organism in order to decipher the important biological processes that occur within. This has emerged as a ground-breaking technology that has greatly enhanced our understanding of the complexity of gene expression dynamics at a microscopic resolution. It is anticipated that in the next 5-10 years, the wider research community will be routinely employing this powerful technology as a laboratory staple. Single-cell genomics, transcriptomics and epigenomics hold the potential to revolutionize the way we characterize complex cell assemblies and study their spatial organization, dynamics, clonal distribution, pathways, function, and crosstalks. These fascinating advances have opened up a new field of cell population genomics. Single-cell genomics, transcriptomics and epigenomics research is providing new insights into inter-cellular population genomic diversity, heterogeneity, specialization, taxonomy, spatial and temporal gene regulation, and cellular and organismal development and evolution. It is facilitating plant breeding, understanding of human disease conditions and personalized medicine. This book discusses the perspectives, progress, and promises of single-cell genomics, transcriptomics and epigenomics research and applications in addressing the above and other key biological aspects in all organisms. It establishes the current state-of-the-field and serves as the foundation for future developments in single-cell genomics, transcriptomics, and epigenomics.