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.

The book focuses on various detection targets applied in single cell studies, including tumor tissue cells, circulating tumor cells (CTCs), disseminated tumor cells (DTCs), circulating tumor DNA (ctDNA), cell-free DNA (cfDNA) and cancer stem cells (CSCs). It also discusses and compares detection methods using these detection targets in different fields to reveal single cell biomedical functions. The volume focuses not only on the methods already been established and validated, and also the methods newly developed. The book also highlights the importance and potential of single cell biomedicine in the development and validation of precision medicine strategies. It is useful for researchers and students in the field of cell biology, molecular medicine and precision medicine etc.

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.

Single-Cell Omics: Volume 1: Technological Advances and Applications provides the latest technological developments and applications of single-cell technologies in the field of biomedicine. In the current era of precision medicine, the single-cell omics technology is highly promising due to its potential in diagnosis, prognosis and therapeutics. Sections in the book cover single-cell omics research and applications, diverse technologies applied in the topic, such as pangenomics, metabolomics, and multi-omics of single cells, data analysis, and several applications of single-cell omics within the biomedical field, for example in cancer, metabolic and neuro diseases, immunology, pharmacogenomics, personalized medicine and reproductive health. This book is a valuable source for bioinformaticians, molecular diagnostic researchers, clinicians and members of the biomedical field who are interested in understanding more about single-cell omics and its potential for research and diagnosis. - Covers not only the technological aspects, but also the diverse applications of single cell omics 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, bringing different points-of-view and case studies to give a comprehensive overview on the topic

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

With the advent of new technologies and acquired knowledge, the number of fields in omics and their applications in diverse areas are rapidly increasing in the postgenomics era. Such emerging fields—including pharmacogenomics, toxicogenomics, regulomics, spliceomics, metagenomics, and environomics—present budding solutions to combat global challenges in biomedicine, agriculture, and the environment. OMICS: Applications in Biomedical, Agricultural, and Environmental Sciences provides valuable insights into the applications of modern omics technologies to real-world problems in the life sciences. Filling a gap in the literature, it offers a broad, multidisciplinary view of current and emerging applications of omics in a single volume. Written by highly experienced active researchers, each chapter describes a particular area of omics and the associated technologies and applications. Topics covered include: Proteomics, epigenomics, and pharmacogenomics Toxicogenomics and the assessment of environmental pollutants Applications of plant metabolomics Nutrigenomics and its therapeutic applications Microalgal omics and omics approaches in biofuel production Next-generation sequencing and omics technology for transgenic plant analysis Omics approaches in crop improvement Engineering dark-operative chlorophyll synthesis Computational regulomics Omics techniques for the analysis of RNA splicing New fields, including metagenomics, glycomics, and miRNA Breast cancer biomarkers for early detection Environomics strategies for environmental sustainability This timely book explores a wide range of omics application areas in the biomedical, agricultural, and environmental sciences. Throughout, it highlights working solutions as well as open problems and future challenges. Demonstrating the diversity of omics, it introduces readers to state-of-the-art developments and trends in omics-driven research.

Revealing Uncharted Biology with Single Cell Multiplex Proteomic Technologies: Applications Healthy tissues and organs rely on the precise coordination of diverse cell types, each responding to external and internal signals. Disease disrupts this coordination. Since proteins drive cellular function, analyzing their abundance and activation states in single cells helps identify key cell populations in health and disease. Bulk protein analyses mask critical differences between individual cells. Additionally, the arrangement of cells into neighborhoods through cell-cell interactions is essential for tissue function. Over the last decade, single-cell proteomic phenotyping combined with positional information has become crucial for understanding biology in health and disease. This has led to the development of multiple technology platforms, profoundly impacting fields including developmental biology, cancer biology, immunology, neuroscience, and drug discovery. This book focuses on the application of single-cell multiplex proteomic platforms to various biological systems. These platforms have proved to be essential in biomedical research, advancing our understanding of complex biological systems at the cellular level. Compelling studies where authors use these technologies to answer previously unanswerable questions are featured. Exploring this "Uncharted Biology" opens new avenues for scientific inquiry and clinical translation, covering areas including oncology, immunology, metabolomics, stem cell research, preclinical models, and translational research. The initial chapters discuss incorporating these technologies into core facilities and consortia, providing access for multiple users and integrating datasets from other omics technologies. The following chapters cover applications in diverse areas such as muscle stem cell function in skeletal muscle regeneration, metabolic regulome profiling, translational studies, developing predictive biomarkers for patients receiving immune checkpoint inhibitors, and pre-clinical studies of lung cancer. These applications demonstrate how advanced single cell proteomic technologies are reshaping our understanding of complex biological systems and enhancing clinical translation. Revealing Uncharted Biology with Single Cell Multiplex Proteomic Technologies: Applications highlights the transformative benefits of single-cell proteomics, offering insights into cellular mechanisms underlying health and disease and inspiring further exploration into "Uncharted Biology." It is an essential resource for researchers, clinicians, and students aiming to advance biomedical science and improve therapeutic outcomes. - Provides insights into the path to success of key research articles based on Multiplex Single-Cell analysis techniques results - Contains detailed method information - Discusses strengths and limitations of techniques applied to each research domain covered - Includes discussions on the failures encountered along the research path and how to avoid them

With the rapid development of biotechnologies, single-cell sequencing has become an important tool for understanding the molecular mechanisms of diseases, defining cellular heterogeneities and characteristics, and identifying intercellular communications and single-cell-based biomarkers. Providing a clear overview of the clinical applications, the book presents state-of-the-art information on immune cell function, cancer progression, infection, and inflammation gained from single-cell DNA or RNA sequencing. Furthermore, it explores the role of target gene methylation in the pathogenesis of diseases, with a focus on respiratory cancer, infection and chronic diseases. As such it is a valuable resource for clinical researchers and physicians, allowing them to refresh their knowledge and improve early diagnosis and therapy for patients.

Elegant, suggestive, and clarifying, Lewis Thomas's profoundly humane vision explores the world around us and examines the complex interdependence of all things. Extending beyond the usual limitations of biological science and into a vast and wondrous world of hidden relationships, this provocative book explores in personal, poetic essays to topics such as computers, germs, language, music, death, insects, and medicine. Lewis Thomas writes, "Once you have become permanently startled, as I am, by the realization that we are a social species, you tend to keep an eye out for the pieces of evidence that this is, by and large, good for us."

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.