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Single Cell Omics Analyses In Cardiovascular Diseases
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Book Synopsis Single-Cell OMICs Analyses in Cardiovascular Diseases by :
Download or read book Single-Cell OMICs Analyses in Cardiovascular Diseases written by and published by Frontiers Media SA. This book was released on 2024-05-14 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single-cell OMICs analyses have recently become one of the most promising tools to probe biology at the cellular level, in large part due to its ability to address issues beyond the bulk analysis – a window into cellular heterogeneity. The ability to profile transcriptomic, epigenomic, proteomics, and metabolomics at the single cell level including more recently the spatial information has enhanced our ability to understand interactions between biomolecules in different contexts leading to the discovery of specific cellular subpopulations as well as biological mechanisms underlying pathologies which may be amenable to therapeutic interventions. The scale and availability of a variety of technologies to measure intricate molecular details have provided an impetus to research in many disease areas, including cardiovascular medicine.
Book Synopsis Multi-Omics Approaches to Study Signaling Pathways by : Jyoti Sharma
Download or read book Multi-Omics Approaches to Study Signaling Pathways written by Jyoti Sharma and published by Frontiers Media SA. This book was released on 2020-11-18 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Book Synopsis Proteomic and Genomic Analysis of Cardiovascular Disease by : Jennifer E. Van Eyk
Download or read book Proteomic and Genomic Analysis of Cardiovascular Disease written by Jennifer E. Van Eyk and published by Wiley-Blackwell. This book was released on 2003-04-10 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the very first book to focus on this new approach that will eventually aid in developing new diagnostic markers and therapies for controlling and treating heart disease - the number-one killer in the industrialized world. Divided into two parts, the book describes not only the potentials, but also the limitations of these technologies. The editors, both well known within the scientific community, provide new insights into the biochemical and cellular mechanisms of cardiovascular disease, as well as covering the transition into clinical applications. In so doing, they highlight the various strategies and technical aspects so as to assist the growing number of researchers intending to utilize these approaches. The result is an excellent way of educating and informing graduate students, post-doctoral fellows as well as researchers in academia and industry about the latest developments in this area.
Book Synopsis Calcific Aortic Valve Disease by : Elena Aikawa
Download or read book Calcific Aortic Valve Disease written by Elena Aikawa and published by BoD – Books on Demand. This book was released on 2013-06-12 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to population aging, calcific aortic valve disease (CAVD) has become the most common heart valve disease in Western countries. No therapies exist to slow this disease progression, and surgical valve replacement is the only effective treatment. Calcific Aortic Valve Disease covers the contemporary understanding of basic valve biology and the mechanisms of CAVD, provides novel insights into the genetics, proteomics, and metabolomics of CAVD, depicts new strategies in heart valve tissue engineering and regenerative medicine, and explores current treatment approaches. As we are on the verge of understanding the mechanisms of CAVD, we hope that this book will enable readers to comprehend our current knowledge and focus on the possibility of preventing disease progression in the future.
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.
Book Synopsis Single-Cell Omics by : Debmalya Barh
Download or read book Single-Cell Omics written by Debmalya Barh and published by Academic Press. This book was released on 2019-07-31 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Genomic Architecture of Cardiovascular Diseases by : Seitaro Nomura
Download or read book Genomic Architecture of Cardiovascular Diseases written by Seitaro Nomura and published by Frontiers Media SA. This book was released on 2022-06-21 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Molecular Medicine by : Sinem Nalbantoglu
Download or read book Molecular Medicine written by Sinem Nalbantoglu and published by BoD – Books on Demand. This book was released on 2019-11-06 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular medicine is an applied science focused on human genes/transcripts, proteins, metabolites, and metabolic networks that describes molecular and cellular processes of health and disease onset and progression. Molecular medicine-based integrative identification and characterization of biomarker targets and their clinical translations is essential to explain/decipher the mechanism(s) underlying physiological pathways and pathological conditions, and acquire cell-targeted early interventional and therapeutic strategies in the context of precision medicine and public health. Principally, Molecular Medicine provides an overview of the latest headlines/developments of systems and molecular medicine, highlighting the emerging high-throughput technologies, promising potential applications, and progress in biomedical research and development strategies.
Book Synopsis RNA Biology in Cardiovascular Disease by : Maarten M. G. van den Hoogenhof
Download or read book RNA Biology in Cardiovascular Disease written by Maarten M. G. van den Hoogenhof and published by Frontiers Media SA. This book was released on 2021-12-06 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bioinformatics analysis of single cell sequencing and multi-omics in the aging and age-associated diseases by : Shouneng Peng
Download or read book Bioinformatics analysis of single cell sequencing and multi-omics in the aging and age-associated diseases written by Shouneng Peng and published by Frontiers Media SA. This book was released on 2024-03-13 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Unsupervised Feature Extraction Applied to Bioinformatics by : Y-h. Taguchi
Download or read book Unsupervised Feature Extraction Applied to Bioinformatics written by Y-h. Taguchi and published by Springer Nature. This book was released on 2019-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. Allows readers to analyze data sets with small samples and many features; Provides a fast algorithm, based upon linear algebra, to analyze big data; Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Book Synopsis Revolutions in Human Biospecimen Study: Leveraging new technologies to explore the pathology, therapeutics and biomarkers for atherosclerotic disease by : Ying Wang
Download or read book Revolutions in Human Biospecimen Study: Leveraging new technologies to explore the pathology, therapeutics and biomarkers for atherosclerotic disease written by Ying Wang and published by Frontiers Media SA. This book was released on 2023-11-20 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, new high-throughput biotechnologies are revolutionizing our ways to utilize human biospecimens for understanding atherosclerotic disease. These recent advances allow deep profiling of individual cells at the genomics, epigenomics, transcriptomics and proteomics levels, or even simultaneous detection of various combinations of ‘Omics’ in the same cell. Additionally, novel methods to integrate data at different levels from tissue sections and dissociated tissues are the emerging trends in large and institutional biobank studies. Growing literature has shown the value of such sequencing and bioinformatic strategies in shedding light on (1) how risk genes, as identified by the Genome-Wide Association Study, contribute to atherogenesis (genotype to phenotype), and (2) how features of atherosclerotic lesions affect patient response in clinical trials (phenotype to the clinical outcome). The hybrid of cutting-edge biotechnologies and bioinformatic approaches helps us maximize biobank resources to accelerate bench-to-bedside research.
Book Synopsis Introduction to Single Cell Omics by : Xinghua Pan
Download or read book Introduction to Single Cell Omics written by Xinghua Pan and published by Frontiers Media SA. This book was released on 2019-09-19 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Evolution of Translational Omics by : Institute of Medicine
Download or read book Evolution of Translational Omics written by Institute of Medicine and published by National Academies Press. This book was released on 2012-09-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence in Medicine by : Lei Xing
Download or read book Artificial Intelligence in Medicine written by Lei Xing and published by Academic Press. This book was released on 2020-09-03 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309676738 Total Pages :201 pages Book Rating :4.3/5 (96 download)
Book Synopsis Next Steps for Functional Genomics by : National Academies of Sciences, Engineering, and Medicine
Download or read book Next Steps for Functional Genomics written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-12-18 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the holy grails in biology is the ability to predict functional characteristics from an organism's genetic sequence. Despite decades of research since the first sequencing of an organism in 1995, scientists still do not understand exactly how the information in genes is converted into an organism's phenotype, its physical characteristics. Functional genomics attempts to make use of the vast wealth of data from "-omics" screens and projects to describe gene and protein functions and interactions. A February 2020 workshop was held to determine research needs to advance the field of functional genomics over the next 10-20 years. Speakers and participants discussed goals, strategies, and technical needs to allow functional genomics to contribute to the advancement of basic knowledge and its applications that would benefit society. This publication summarizes the presentations and discussions from the workshop.
