Long Non-coding RNA


Book Description

The dark side of the genome represents vast domains of the genome that are not encoding for proteins – the basic bricks of cellular structure and metabolism. Up to 98% of the human genome is non-coding and produces so-called long non-coding RNA. Some of these non-coding RNA play fundamental roles in cellular identity, cell development and cancer progression. They are now widely studied in many organisms to understand their function. This book reviews this expanding field of research and present the broad functional diversities of those molecules and their putative fundamental and therapeutic roles and develops the recent history of non-coding RNA, their very much debated classification and how they raise a formidable interest for developmental and tumorigenesis biology. Using classical examples and an extensive bibliography, the book illustrates the most studied and attractive examples of these long non-coding RNA, how they interface with epigenetics, genome integrity and expression and what are the current models of their regulatory mechanisms. - This book offers a large review about the long non-coding RNA - It presents the broad functional diversities of those molecules - It presents pioneer works from the field - Provides a comprehensive review of the field - Presents fundamental and therapeutic interests




Long Non Coding RNA Biology


Book Description

This contributed volume offers a comprehensive and detailed overview of the various aspects of long non-coding RNAs and discusses their emerging significance. Written by leading experts in the field, it motivates young researchers around the globe, and offers graduate and postgraduate students fascinating insights into genes and their regulation in eukaryotes and higher organisms.




Long Noncoding RNAs in Plants


Book Description

The growth of human population has increased the demand for improved yield and quality of crops and horticultural plants. However, plant productivity continues to be threatened by stresses such as heat, cold, drought, heavy metals, UV radiations, bacterial and fungal pathogens, and insect pests. Long noncoding RNAs are associated with various developmental pathways, regulatory systems, abiotic and biotic stress responses and signaling, and can provide an alternative strategy for stress management in plants. Long Noncoding RNAs in Plants: Roles in development and stress provides the most recent advances in LncRNAs, including identification, characterization, and their potential applications and uses. Introductory chapters include the basic features and brief history of development of lncRNAs studies in plants. The book then provides the knowledge about the lncRNAs in various important agricultural and horticultural crops such as cereals, legumes, fruits, vegetables, and fiber crop cotton, and their roles and applications in abiotic and biotic stress management. - Includes the latest advances and research in long noncoding RNAs in plants - Provides alternative strategies for abiotic and biotic stress management in horticultural plants and agricultural crops - Focuses on the application and uses of long noncoding RNAs




Plant Long Non-Coding RNAs


Book Description

This volume focuses on various approaches to studying long non-coding RNAs (lncRNAs), including techniques for finding lncRNAs, localization, and observing their functions. The chapters in this book cover how to catalog lncRNAs in various plant species; determining subcellular localization; protein interactions; structures; and RNA modifications. 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. Cutting-edge and innovative, Plant Long Non-Coding RNAs: Methods and Protocols is a valuable resource that aids researchers in understanding the functions of lncRNAs in different plant species, and helps them explore currently uncharted facets of plant biology.




RNA-Based Regulation in Human Health and Disease


Book Description

RNA-based Regulation in Human Health and Disease offers an in-depth exploration of RNA mediated genome regulation at different hierarchies. Beginning with multitude of canonical and non-canonical RNA populations, especially noncoding RNA in human physiology and evolution, further sections examine the various classes of RNAs (from small to large noncoding and extracellular RNAs), functional categories of RNA regulation (RNA-binding proteins, alternative splicing, RNA editing, antisense transcripts and RNA G-quadruplexes), dynamic aspects of RNA regulation modulating physiological homeostasis (aging), role of RNA beyond humans, tools and technologies for RNA research (wet lab and computational) and future prospects for RNA-based diagnostics and therapeutics. One of the core strengths of the book includes spectrum of disease-specific chapters from experts in the field highlighting RNA-based regulation in metabolic & neurodegenerative disorders, cancer, inflammatory disease, viral and bacterial infections. We hope the book helps researchers, students and clinicians appreciate the role of RNA-based regulation in genome regulation, aiding the development of useful biomarkers for prognosis, diagnosis, and novel RNA-based therapeutics. - Comprehensive information of non-canonical RNA-based genome regulation modulating human health and disease - Defines RNA classes with special emphasis on unexplored world of noncoding RNA at different hierarchies - Disease specific role of RNA - causal, prognostic, diagnostic and therapeutic - Features contributions from leading experts in the field




Epigenetics and Metabolomics


Book Description

Epigenetics and Metabolomics, a new volume in the Translational Epigenetics series, offers a synthesized discussion of epigenetic control of metabolic activity, and systems-based approaches for better understanding these mechanisms. Over a dozen chapter authors provide an overview of epigenetics in translational medicine and metabolomics techniques, followed by analyses of epigenetic and metabolomic linkage mechanisms likely to result in effective identification of disease biomarkers, as well as new therapies targeting the removal of the inappropriate epigenetic alterations. Epigenetic interventions in cancer, brain damage, and neuroendocrine disease, among other disorders, are discussed in-depth, with an emphasis on exploring next steps for clinical translation and personalized healthcare. - Offers a synthesized discussion of epigenetic regulation of metabolic activity and systems-based approaches to power new research - Discusses epigenetic control of metabolic pathways and possible therapeutic targets for cancer, neurodegenerative, and neuroendocrine diseases, among others - Provides guidance in epigenomics and metabolomic research methodology




Computational Non-coding RNA Biology


Book Description

Computational Non-coding RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for the identification and quantification of non-coding RNAs, including miRNAs, tasiRNAs, phasiRNAs, lariat originated circRNAs and back-spliced circRNAs, the identification of miRNA/siRNA targets, and the identification of mutations and editing sites in miRNAs. The book introduces basic ideas of computational methods, along with their detailed computational steps, a critical component in the development of high throughput sequencing technologies for identifying different classes of non-coding RNAs and predicting the possible functions of these molecules. Finding, quantifying, and visualizing non-coding RNAs from high throughput sequencing datasets at high volume is complex. Therefore, it is usually possible for biologists to complete all of the necessary steps for analysis. - Presents a comprehensive resource of computational methods for the identification and quantification of non-coding RNAs - Introduces 23 practical computational pipelines for various topics of non-coding RNAs - Provides a guide to assist biologists and other researchers dealing with complex datasets - Introduces basic computational methods and provides guidelines for their replication by researchers - Offers a solution to researchers approaching large and complex sequencing datasets




Epigenetics in Psychiatry


Book Description

Epigenetics in Psychiatry, Second Edition covers all major areas of psychiatry in which extensive epigenetic research has been performed, fully encompassing a diverse and maturing field, including drug addiction, bipolar disorder, epidemiology, cognitive disorders, and the uses of putative epigenetic-based psychotropic drugs. Uniquely, each chapter correlates epigenetics with relevant advances across genomics, transcriptomics, and proteomics. The book acts as a catalyst for further research in this growing area of psychiatry. This new edition has been fully revised to address recent advances in epigenetic understanding of psychiatric disorders, evoking data consortia (e.g., CommonMind, ATAC-seq), single cell analysis, and epigenome-wide association studies to empower new research. The book also examines epigenetic effects of the microbiome on psychiatric disorders, and the use of neuroimaging in studying the role of epigenetic mechanisms of gene expression. Ongoing advances in epigenetic therapy are explored in-depth. - Fully revised to discuss new areas of research across neuronal stem cells, cognitive disorders, and transgenerational epigenetics in psychiatric disease - Relates broad advances in psychiatric epigenetics to a modern understanding of the genome, transcriptome, and proteins - Catalyzes knowledge discovery in both basic epigenetic biology and epigenetic targets for drug discovery - Provides guidance in research methods and protocols, as well how to employ data from consortia, single cell analysis, and epigenome-wide association studies (EWAS) - Features chapter contributions from international leaders in the field




Progress in Genomic Medicine


Book Description

Progress in Genomic Medicine: From Research to Clinical Application provides a careful synthesis of the foundations, current trends and translational challenges in genomic medicine, clarifying pathways forward and enabling genomic medicine research and implementation across clinical settings and treatment development. Sections address the history and growth of genetic medicine, with a discussion of key studies in syndrome delineations, inherited diseases, biochemical genetics, and chromosome abnormalities, overview clinical applications made possible through genomic advances, with chapters on DNA sequencing for clinical genetic diagnosis, genotype-phenotype correlations in individuals and across populations, new-born screening for treatable genetic disorders, and more. In addition, social, ethical and public health aspects of applying genomic technologies are included throughout. Here, Dr. Smith applies her experience and participation in the field, across its major milestones, to put current research, clinical advances, and ongoing questions in context. Traces the development of the field of genomic medicine, exploring key scientific advances and recent steps forward in clinical translation Considers the influence of genomic medicine on complex and monogenic pathology analysis, treatment plans and therapeutics Ties recent research and clinical advances to their historical context




Advances in Bioinformatics and Computational Biology


Book Description

This book constitutes the proceedings of the 5th Brazilian Symposium on Bioinformatics, BSB 2010, held in Rio de Janeiro, Brazil, in August/September 2010. The 5 full papers and 5 extended abstracts presented were carefully reviewed and selected for inclusion in the book. The topics of interest vary in many areas of Bioinformatics, including sequence analysis, motifs, and pattern matching; biomedical text mining; biological databases, data management, integration; biological data mining; structural, comparative, and functional genomics; protein structure, modeling and simulation; gene identification, and regulation; gene expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics; computational systems biology; computational proteomics; statistical analysis of molecular sequences; algorithms for problems in computational biology; as well as applications in molecular biology, biochemistry, genetics, and associated subjects.