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Single Cell Omics Of Neuronal Cells


Single Cell Omics Of Neuronal Cells
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Single Cell Omics Of Neuronal Cells


Single Cell Omics Of Neuronal Cells
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Author : Jonathan V. Sweedler
language : en
Publisher: Springer Nature
Release Date : 2022-08-10

Single Cell Omics Of Neuronal Cells written by Jonathan V. Sweedler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-10 with Medical categories.


This volume discusses the latest techniques used in the diverse fields of single cell ‘omics and covers topics such as quantifying the single cell transcriptome; isolation of cells in nanoliter volumes for single cell proteomics measurements by nano-LC-MS/MS; and single cell protein characterization by immunoblotting. A wide range of methodologies are highlighted, ranging from high-yield chemical amplification to mass spectrometry and nanotechnology for the analysis of the chemical constituents of cells. In the Neuromethods series style, chapters include both in-depth overviews, as well as detailed protocols that provide the key advice from specialists you need to get successful results in your laboratory. Cutting-edge and comprehensive, Single Cell ‘Omics of Neuronal Cells is a valuable resource for experienced and novice researchers interested in learning more about this field and its future developments.



Single Cell Omics


Single Cell Omics
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Author : Debmalya Barh
language : en
Publisher: Academic Press
Release Date : 2019-07-30

Single Cell Omics written by Debmalya Barh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-30 with Medical categories.


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. - Covers the diverse single cell omics applications 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, it brings different points-of-view and study cases to fully give a comprehensive overview of the topic



Introduction To Single Cell Omics


Introduction To Single Cell Omics
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Author : Xinghua Pan
language : en
Publisher: Frontiers Media SA
Release Date : 2019-09-19

Introduction To Single Cell Omics written by Xinghua Pan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with categories.


Single-cell omics is a progressing frontier that stems from the sequencing of the human genome and the development of omics technologies, particularly genomics, transcriptomics, epigenomics and proteomics, but the sensitivity is now improved to single-cell level. The new generation of methodologies, especially the next generation sequencing (NGS) technology, plays a leading role in genomics related fields; however, the conventional techniques of omics require number of cells to be large, usually on the order of millions of cells, which is hardly accessible in some cases. More importantly, harnessing the power of omics technologies and applying those at the single-cell level are crucial since every cell is specific and unique, and almost every cell population in every systems, derived in either vivo or in vitro, is heterogeneous. Deciphering the heterogeneity of the cell population hence becomes critical for recognizing the mechanism and significance of the system. However, without an extensive examination of individual cells, a massive analysis of cell population would only give an average output of the cells, but neglect the differences among cells. Single-cell omics seeks to study a number of individual cells in parallel for their different dimensions of molecular profile on genome-wide scale, providing unprecedented resolution for the interpretation of both the structure and function of an organ, tissue or other system, as well as the interaction (and communication) and dynamics of single cells or subpopulations of cells and their lineages. Importantly single-cell omics enables the identification of a minor subpopulation of cells that may play a critical role in biological process over a dominant subpolulation such as a cancer and a developing organ. It provides an ultra-sensitive tool for us to clarify specific molecular mechanisms and pathways and reveal the nature of cell heterogeneity. Besides, it also empowers the clinical investigation of patients when facing a very low quantity of cell available for analysis, such as noninvasive cancer screening with circulating tumor cells (CTC), noninvasive prenatal diagnostics (NIPD) and preimplantation genetic test (PGT) for in vitro fertilization. Single-cell omics greatly promotes the understanding of life at a more fundamental level, bring vast applications in medicine. Accordingly, single-cell omics is also called as single-cell analysis or single-cell biology. Within only a couple of years, single-cell omics, especially transcriptomic sequencing (scRNA-seq), whole genome and exome sequencing (scWGS, scWES), has become robust and broadly accessible. Besides the existing technologies, recently, multiplexing barcode design and combinatorial indexing technology, in combination with microfluidic platform exampled by Drop-seq, or even being independent of microfluidic platform but using a regular PCR-plate, enable us a greater capacity of single cell analysis, switching from one single cell to thousands of single cells in a single test. The unique molecular identifiers (UMIs) allow the amplification bias among the original molecules to be corrected faithfully, resulting in a reliable quantitative measurement of omics in single cells. Of late, a variety of single-cell epigenomics analyses are becoming sophisticated, particularly single cell chromatin accessibility (scATAC-seq) and CpG methylation profiling (scBS-seq, scRRBS-seq). High resolution single molecular Fluorescence in situ hybridization (smFISH) and its revolutionary versions (ex. seqFISH, MERFISH, and so on), in addition to the spatial transcriptome sequencing, make the native relationship of the individual cells of a tissue to be in 3D or 4D format visually and quantitatively clarified. On the other hand, CRISPR/cas9 editing-based In vivo lineage tracing methods enable dynamic profile of a whole developmental process to be accurately displayed. Multi-omics analysis facilitates the study of multi-dimensional regulation and relationship of different elements of the central dogma in a single cell, as well as permitting a clear dissection of the complicated omics heterogeneity of a system. Last but not the least, the technology, biological noise, sequence dropout, and batch effect bring a huge challenge to the bioinformatics of single cell omics. While significant progress in the data analysis has been made since then, revolutionary theory and algorithm logics for single cell omics are expected. Indeed, single-cell analysis exert considerable impacts on the fields of biological studies, particularly cancers, neuron and neural system, stem cells, embryo development and immune system; other than that, it also tremendously motivates pharmaceutic RD, clinical diagnosis and monitoring, as well as precision medicine. This book hereby summarizes the recent developments and general considerations of single-cell analysis, with a detailed presentation on selected technologies and applications. Starting with the experimental design on single-cell omics, the book then emphasizes the consideration on heterogeneity of cancer and other systems. It also gives an introduction of the basic methods and key facts for bioinformatics analysis. Secondary, this book provides a summary of two types of popular technologies, the fundamental tools on single-cell isolation, and the developments of single cell multi-omics, followed by descriptions of FISH technologies, though other popular technologies are not covered here due to the fact that they are intensively described here and there recently. Finally, the book illustrates an elastomer-based integrated fluidic circuit that allows a connection between single cell functional studies combining stimulation, response, imaging and measurement, and corresponding single cell sequencing. This is a model system for single cell functional genomics. In addition, it reports a pipeline for single-cell proteomics with an analysis of the early development of Xenopus embryo, a single-cell qRT-PCR application that defined the subpopulations related to cell cycling, and a new method for synergistic assembly of single cell genome with sequencing of amplification product by phi29 DNA polymerase. Due to the tremendous progresses of single-cell omics in recent years, the topics covered here are incomplete, but each individual topic is excellently addressed, significantly interesting and beneficial to scientists working in or affiliated with this field.



Multi Omics In Biomedical Sciences And Environmental Sustainability


Multi Omics In Biomedical Sciences And Environmental Sustainability
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Author : Minu Kesheri
language : en
Publisher: Springer Nature
Release Date : 2025-06-25

Multi Omics In Biomedical Sciences And Environmental Sustainability written by Minu Kesheri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Medical categories.


This book offers a comprehensive exploration of the cutting-edge multi-omics technologies that are revolutionizing research across biomedical sciences and environmental sustainability. It addresses the urgent need for interdisciplinary research by integrating multi-omics approaches with bioinformatics and artificial intelligence. The book explores evolution of traditional omics technologies into comprehensive multi-omics strategies that synergize data output through advanced computational tools. It covers diverse topics such as health and disease mechanisms, drug discovery innovations, COVID-19 responses, cancer treatment personalization, neuroscience insights into brain disorders, cyanobacterial natural compounds' potential for biofuel production, lichen symbiosis studies, and more. This volume integrates genomics, proteomics, metabolomics, and more with bioinformatics, machine learning, and artificial intelligence to address complex challenges in health and the environment. With contributions from renowned scholars worldwide, this book illuminates recent advances through illustrative figures and case studies that enhance understanding of complex pathways while bioinformatics strategies streamline research outcomes. This book is a must-read for researchers, academics, and professionals in life sciences, biomedical fields, and environmental studies, interested in advancing their knowledge of multi-omics applications. It is also beneficial for scientists involved in drug design or biotechnological innovations related to environmental sustainability.



Proteomics Multi Omics And Systems Biology In Optic Nerve Regeneration


Proteomics Multi Omics And Systems Biology In Optic Nerve Regeneration
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Author : Sanjoy K. Bhattacharya
language : en
Publisher: Elsevier
Release Date : 2025-01-28

Proteomics Multi Omics And Systems Biology In Optic Nerve Regeneration written by Sanjoy K. Bhattacharya and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Science categories.


Proteomics, Multi-Omics and Systems Biology in Optic Nerve Regeneration is a comprehensive reference that covers all vistas of standardization of axon regeneration, as well as all multi-omics and system level data and integration tools. By adopting a translational approach, the book bridges current research in the field to clinical applications, and readers can expect to learn standardization approaches for axon regeneration, multi-omics datasets, different databases, search engines, multiple dataset integrative tools, pathway convergence approaches and tools, outcome and outcome measures that unify bench research with clinical outcome.The axon regeneration from existing neurons in central nervous system (CNS) have become a potential possibility in the last decade. The potential possibility of long-distance axon growth has opened the possibility of re-connectivity of axons of retinal ganglion cell neurons within the lateral geniculate nucleus in the brain. The long-distance axon regeneration and re-connectivity is a promise to restore lost vision in the optic nerve. Further, long-distance regeneration and re-innervation is equally helpful for other fields such as spinal cord injuries. - Includes updates on the use of multi-omics datasets for selecting molecules for axon regeneration - Bridges the preclinical and clinical world, from selection of the molecules to outcome leading to IND filing and their use - Includes system level knowledge needed for central nervous system axon and dendrite regeneration, and standardizes the system level biology for axon regeneration - Explores the current state of multi-omics in axon and dendrite regeneration in the optic nerve and its comparison to other CNS regeneration



Omics And Systems Approaches To Study The Biology And Applications Of Lactic Acid Bacteria


Omics And Systems Approaches To Study The Biology And Applications Of Lactic Acid Bacteria
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Author : Konstantinos Papadimitriou
language : en
Publisher: Frontiers Media SA
Release Date : 2020-10-13

Omics And Systems Approaches To Study The Biology And Applications Of Lactic Acid Bacteria written by Konstantinos Papadimitriou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with Medical categories.


The economic importance of lactic acid bacteria (LAB) for the food industry and their implication in health and disease has rendered them attractive models for research in many laboratories around the world. Over the past three decades, molecular and genetic analysis of LAB species provided important insights into the biology and application of starter and probiotic LAB and in the virulence of LAB pathogens. The knowledge obtained prepared LAB researchers for the forthcoming opportunities provided by the advent of microbial genomics. Today, developments in next-generation sequencing technologies have rocketed LAB genome research and the sequences of several hundreds of strains are available. This flood of information has revolutionized our view of LAB. First of all, a detailed picture has emerged about the evolutionary mechanisms allowing LAB to inhabit the very diverge ecological niches in which they can be found. Adaptation of LAB to nutrient-rich environments has led to degenerative evolution processes that resulted in shortening of chromosomes and simplified metabolic potential. Gene acquisition through horizontal transfer, on the other hand, is also important in shaping LAB gene pools. Horizontally acquired genes have been shown to be essential in technological properties of starters and in probiosis or virulence of commensals. Progress in bioinformatics tools has allowed rapid annotation of LAB genomes and the direct assignment of genetic traits among species/strains through comparative genomics. In this way, the molecular basis of many important traits of LAB has been elucidated, including aspects of sugar fermentation, flavor and odor formation, production of textural substances, stress responses, colonization of and survival in the host, cell-tocell interactions and pathogenicity. Functional genomics and proteomics have been employed in a number of instances to support in silico predictions. Given that the costs of advanced next-generation methodologies like RNA-seq are dropping fast, bottlenecks in the in silico characterization of LAB genomes will be rapidly overcome. Another crucial advancement in LAB research is the application of systems biology approaches, by which the properties and interactions of components or parts of a biological system are investigated to accurately understand or predict LAB behavior. Practically, systems biology involves the mathematical modeling of complex biological systems that can be refined iteratively with wet-lab experiments. High-throughput experimentation generating huge amounts of data on the properties and quantities of many components such as transcripts, enzymes and metabolites has resulted in several systems models of LAB. Novel techniques allow modelling of additional levels of complexity including the function of small RNAs, structural features of RNA molecules and post-translational modifications. In addition, researchers have started to apply systems approaches in the framework of LAB multispecies ecosystems in which each species or strain is considered as a part of the system. Metatransciptomics, metaproteomics and metametabolomics offer the means to combine cellular behavior with population dynamics in microbial consortia.



Cancer Neuroscience


Cancer Neuroscience
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Author : Moran Amit
language : en
Publisher: Springer Nature
Release Date : 2023-07-25

Cancer Neuroscience written by Moran Amit and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Medical categories.


This volume is the first on the market to address and discuss the emerging field of cancer neuroscience. Edited by pioneers in the field with contributions from top researchers, the volume serves as a comprehensive overview of the role of nerves in tumorigenesis and cancer progression. Chapters will address how the innervation of tumors can serve as both prognostic and predictive biomarkers as well as actionable therapeutic targets. Authors will describe current research efforts, and future directions for study and translation to the clinic. It is becoming increasingly apparent that certain treatments will need to consider interactions between the nervous system and cancer, and the novel concepts presented in the book address related accumulating evidence regarding therapeutic strategies. This unique volume will be useful for cancer researchers, neuroscientists, cancer biologists, oncologists, and others looking to gain a greater understanding of this emerging field.



Neural Regeneration


Neural Regeneration
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Author : Kwok Fai So
language : en
Publisher: Academic Press
Release Date : 2015-02-03

Neural Regeneration written by Kwok Fai So and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-03 with Science categories.


Neural Regeneration provides an overview of cutting-edge knowledge on a broad spectrum of neural regeneration, including: - Neural regeneration in lower vertebrates - Neural regeneration in the peripheral nervous system - Neural regeneration in the central nervous system - Transplantation-mediated neural regeneration - Clinical and translational research on neural regeneration The contributors to this book are experts in their fields and work at distinguished institutions in the United States, Canada, Australia, and China. Nervous system injuries, including peripheral nerve injuries, brain and spinal cord injuries, and stroke affect millions of people worldwide every year. As a result of this high incidence of neurological injuries, neural regeneration and repair is becoming a rapidly growing field dedicated to the new discoveries to promote structural and functional recoveries based on neural regeneration. The ultimate goal is to translate the most optimal regenerative strategies to treatments of human nervous system injuries. This valuable reference book is useful for students, postdoctors, and basic and clinical scientists who are interested in neural regeneration research. - Provides an overview of cutting-edge knowledge on a broad spectrum of neural regeneration - Highly translational and clinically-relevance - International authors who are leaders in their respective fields - Vivid art work making the chapters easily understood



Systems Medicine


Systems Medicine
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-08-24

Systems Medicine written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Science categories.


Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information



Single Cell Analysis


Single Cell Analysis
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Author : Tuhin Subhra Santra
language : en
Publisher: MDPI
Release Date : 2021-06-02

Single Cell Analysis written by Tuhin Subhra Santra and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-02 with Science categories.


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.