Author: Min Tang
Publisher: Frontiers Media SA
ISBN: 2832506674
Category : Science
Languages : en
Pages : 224
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Book Description
As the cost of high-throughput sequencing goes down, huge volumes of biological and medical data have been produced from various sequencing platforms at multiple molecular levels including genome, transcriptome, proteome, epigenome, metabolome, and so on. For a long time, data analysis on single molecular levels has paved the way to answer many important research questions. However, many Aging-Related Neuronal Diseases (ARNDs) and Central Nervous System (CNS) aging involve interactions of molecules from multiple molecular levels, in which conclusions based on single molecular levels are usually incomplete and sometimes misleading. In these scenarios, multi-omics data analysis has unprecedentedly helped capture much more useful information for the diagnosis, treatment, prognosis, and drug discovery of ARNDs. The first step towards a multi-omics analysis is to establish reliable and robust multi-omics datasets. In the past years, a few important ARNDs-associated multi-omics databases like Allen Brain have been constructed, which raised immediate needs like data curation, normalization, interpretation, and visualization for integrative multi-omics explorations. Though there have been several well-established multi-omics databases for ARNDs like Alzheimer’s disease, similar databases for other ARNDs are still in urgent need. After the databases establish, many computational tools and experiential strategies should be developed specifically for them. First, the multi-omics data are usually extremely noisy, complex, heterogeneous and in high dimension, which presents the need for appropriate denoising and dimension reduction methods. Second, since the multi-omics and non-omics data like pathological and clinical data are usually in different data spaces, a useful algorithm to mapping them into the same data space and integrate them is nontrivial. In the multi-omics era, there are numerous data-centric tools for the integration of multi-omics datasets, which could be generally divided into three categories: unsupervised, supervised, and semi-supervised methods. Commonly used algorithms include but not limited to Bayesian-based methods, Network-based methods, multi-step analysis methods, and multiple kernel learning methods. Third, methods are needed in studying and verifying the association between two or more levels of multi-omics data and non-omics data. For example, expression quantitative trait loci (eQTL) analysis is widely used to infer the association between a single nucleotide polymorphism (SNP) and the expression of a gene. Recently, the association between omics data and more complex data like pathological and clinical imaging data has been a hot research topic. The outcomes may reveal the underlying molecular mechanism and promote de novo drug design as well as drug repurposing for ARNDs. Here, we welcome investigators to share their Original Research, Review, Mini Review, Hypothesis and Theory, Perspective, Conceptual Analysis, Data Report, Brief Research Report, Code related to multi-omics studies of ARNDs, which can be applied for better diagnosis, treatment, prognosis and drug discovery of human diseases in the future era of precision medicine. Potential contents include but are not limited to the following: ▪ Methods for integrating, interpreting, or visualizing two or more omics data. ▪ Methods for identifying interactions between different data modalities. ▪ Methods for disease subtyping, biomarker prediction. ▪ Machine learning or deep learning methods on dimensional reduction and feature selection for big noisy data. ▪ Methods for studying the association among different omics data or between omics and non-omics data like clinical, pathological, and imaging data. ▪ Review of multi-omics resource about ARNDs and/or CNS aging. ▪ Experimental validation of biomarkers identified from multi-omics data analysis. ▪ Disease diagnosis and prognosis prediction from imaging and non-imaging data analysis, or both. ▪ Clinical applications or validations of findings from multi-omics data analysis.
Author: Dora Reglodi
Publisher: Springer
ISBN: 3319351354
Category : Medical
Languages : en
Pages : 818
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Book Description
The first comprehensive book to cover all aspects of the last 25 years of PACAP (pituitary adenylate cyclase activating polypeptide) research, this book contains contributions from virtually all the leading researchers in the field, and addresses some of the following topics: evolutionary aspects of PACAP, distribution and occurrence of PACAP and its receptors, hormonal effects of PACAP, intracellular signaling, effects on cellular proliferation and differentiation, protective effects of PACAP, behavioral effects of PACAP, developmental aspects of PACAP, other physiological effects of PACAP (cardiovascular, thermoregulatory), human studies, drug design, metabolism and transport. This compendium can serve as an important reference for researchers and students in PACAP research and can also be a thorough introduction for those in related fields.
Author: Sara Mole
Publisher: OUP Oxford
ISBN: 019101558X
Category : Medical
Languages : en
Pages : 772
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Book Description
The neuronal ceroid lipofuscinoses are an extremely rare group of inherited neurodegenerative diseases that primarily affect children. Core symptoms of these conditions typically include epilepsy, cognitive decline and visual failure. These diseases are so rare that professionals who come into contact with them need a consultative reference work that enables them to become expert, or identify who to contact for more details. Fully updated and revised, this second edition continues to be the definitive volume on this devastating group of disorders. Written by an international collection of authorities in the field, it provides invaluable advice on their diagnosis, patient care, and new treatments that are available. This new edition of the definitive reference text on the neuronal ceroid lipofuscinoses will prove useful for clinicians, family physicians, research scientists, diagnostic laboratories, families affected by the disease as well as by workers in industry planning translational research.
Author: Alexander Birbrair
Publisher: Academic Press
ISBN: 0128238836
Category : Science
Languages : en
Pages : 338
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Book Description
The series Advances in Stem Cell Biology is a timely and expansive collection of comprehensive information and new discoveries in the field of stem cell biology. iPSCs - Novel Concepts, Volume 15 addresses how important induced pluripotent stems cells are and how can they can help treat certain diseases. Somatic cells can be reprogrammed into induced pluripotent stem cells by the expression of specific transcription factors. These cells have been transforming biomedical research over the last 15 years. This volume will address the advances in research of how induced pluripotent stem cells are being used for treatment of different disorders, such as liver disease, type-1 diabetes, Parkinson's disease, macular degeneration of the retina and much more. The volume is written for researchers and scientists in stem cell therapy, cell biology, regenerative medicine and organ transplantation; and is contributed by world-renowned authors in the field. - Provides overview of the fast-moving field of stem cell biology and function, regenerative medicine and therapeutics - Covers spinal cord injuries, type-1 diabetes, liver disease, Parkinson's disease, graft vs. host disease, and much more - Contributed by world-renown experts in the field
Author: Federico Innocenti
Publisher: Humana Press
ISBN: 9781627034364
Category : Medical
Languages : en
Pages : 359
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Book Description
Understanding an individual's genetic makeup is the key to creating personalized drugs with greater efficacy and safety, and pharmacogenomics aims to study the complex genetic basis of inter-patient variability in response to drug therapy. Based upon the success of its first edition, the second edition of Pharmacogenomics: Methods And Protocols aims to continue providing readers with high-quality content on the most innovative and commonly adopted technologies in the field of pharmacogenomics as presented by experts in the field. Broken into several sections, this detailed volume examines techniques for interrogating variation in human genes and genomes, functional assessment of genetic variation, both in vitro and in vivo, as well as tools for translation and implementation of pharmacogenetic markers. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to the respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Comprehensive and thoroughly updated, Pharmacogenomics: Methods And Protocols, Second Edition serves as an essential reference and an invaluable source on the latest information in this field.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Agustín Ibáñez
Publisher: Frontiers Media SA
ISBN: 2889454940
Category :
Languages : en
Pages : 217
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Book Description
Neurodegenerative diseases are the most frequent cause of dementia, representing a burden for public health systems (especially in middle and middle-high income countries). Although most research on this issue is concentrated in first-world centers, growing efforts in South America are affording important breakthroughs. This emerging agenda poses new challenges for the region but also new opportunities for the field. This book aims to integrate the community of experts across the globe and the region, and to establish new challenges and developments for future investigation. We present research focused on neurodegenerative research in South America. We introduce studies assessing the interplay among genetic, neural, and behavioral dimensions of these diseases, as well as articles on vulnerability factors, comparisons of findings from various countries, and works promoting multicenter and collaborative networking. More generally, our book covers a broad scope of human-research approaches (behavioral assessment, neuroimaging, electromagnetic techniques, brain connectivity, peripheral measures), animal methodologies (genetics, epigenetics, proteomics, metabolomics, other molecular biology tools), species (all human and non-human animals, sporadic, and genetic versions), and article types (original research, review, and opinion papers). Through this wide-ranging proposal, we hope to introduce a fresh approach to the challenges and opportunities of research on neurodegeneration in South America.
Author: Fumiaki Uchiumi
Publisher: Elsevier
ISBN: 0128194618
Category : Science
Languages : en
Pages : 236
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Book Description
Recent studies in human genetics and in silico analyses have revealed that a number of genes are head-head orientated with other genes or non-coding RNAs. The expression of regulatory element-containing 5'-upstream regions of gene pairs are referred to as bi-directional promoters and are thought to have a key role in biological regulatory mechanisms. For example, tumor suppressor protein-encoding TP53 and BRCA1 genes are head-head bound with WRAP53 and NBR2, respectively. DNA-repair factor-encoding ATM and PRKDC (DNA-PKcs) genes have bidirectional partner NPAT and MCM4, respectively. Surveillance of the human DNA database has revealed that the numbers of DNA repair/mitochondrial function/immune response-associated genes are bound with other genes that are transcribed to opposite direction. The observations may encourage us to investigate in the molecular mechanisms how DNA repair/mitochondrial function/immune response-associated genes are regulated by bidirectional promoters. Not only protein-coding genes, but also quite a few ncRNAs, which play important roles in various cellular events, are transcribed under the regulation of the bidirectional promoters. More importantly, we know that dysregulation in the promoter activity and transcription initiation of genes might cause human diseases. - Provides an overview of the process of transcription - Explains why there so many bidirectional promoters present in human genomes - Covers how the diverse biological functions of (non-coding RNAs) ncRNAs are controlled
Author: Alexey Moskalev
Publisher:
ISBN: 9783030249724
Category : Aging
Languages : en
Pages : 421
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Book Description
This book collects and reviews, for the first time, a wide range of advances in the area of human aging biomarkers. This accumulated data allows researchers to assess the rate of aging processes in various organs and systems, and to individually monitor the effectiveness of therapies intended to slow aging. In an introductory chapter, the editor defines biomarkers of aging as molecular, cellular and physiological parameters that demonstrate reproducible changes - quantitative or qualitative - with age. The introduction recounts a study which aimed to create a universal model of biological age, whose most predictive parameters were albumin and alkaline phosphatase (indication liver function), glucose (metabolic syndrome), erythrocytes (respiratory function) and urea (renal function). The book goes on to describe DNA methylation, known as the "epigenetic clock," as currently the most comprehensive predictor of total mortality. It is also useful for predicting mortality from cancer and cardiovascular diseases, and for analyzing the effects of lifestyle factors including diet, exercise, and education. Individual contributions draw additional insight from research on genetics and epigenetic aging markers, and immunosenescence and inflammaging markers. A concluding chapter outlines the challenge of integrating of biological and clinical markers of aging. Biomarkers of Human Aging is written for professionals and practitioners engaged in the study of aging, and will be useful to both advanced students and researchers.
Author: National Academies of Sciences Engineering and Medicine
Publisher:
ISBN: 9780309684736
Category :
Languages : en
Pages :
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Book Description
