Dorcas Cummings Lecture:Dorcas Cummings Lecture.

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

This is the first comprehensive review of mRNA stability and its implications for regulation of gene expression. Written by experts in the field, Control of Messenger RNA Stability serves both as a reference for specialists in regulation of mRNA stability and as a general introduction for a broader community of scientists. Provides perspectives from both prokaryotic and eukaryotic systems Offers a timely, comprehensive review of mRNA degradation, its regulation, and its significance in the control of gene expression Discusses the mechanisms, RNA structural determinants, and cellular factors that control mRNA degradation Evaluates experimental procedures for studying mRNA degradation

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

RNA molecules play key roles in all aspects of cellular life, but to do so efficiently, they must work in synergism with proteins. This book addresses how proteins and RNA interact to carry out biological functions such as protein synthesis, regulation of gene expression, genome defense, liquid phase separation and more. The topics addressed in this volume will appeal to researchers in biophysics, biochemistry and structural biology. The book is a useful resource for anybody interested in elucidating the molecular mechanisms and discrete properties of RNA-protein complexes. Included are reviews of key systems such as microRNA and CRISPR/Cas that exemplify how RNA and proteins work together to perform their biological function. Also covered are techniques ranging from single molecule fluorescence and force spectroscopy to crystallography, cryo-EM microscopy, and kinetic modeling.

New Findings Revolutionize Concepts of Gene FunctionEndogenous small RNAs have been found in various organisms, including humans, mice, flies, worms, fungi, and bacteria. Furthermore, it's been shown that microRNAs acting as cellular rheostats have the ability to modulate gene expression. In higher eukaryotes, microRNAs may regulate as much as 50 p

Proceedings of a summer 1998 meeting, presenting results of recent studies in gene transcription. Covers events ranging from activation, through promoter recognition, repression, chromosome structure, chromatin remodeling, initiation and elongation, and regulatory complexes and pathways. Subjects include targeting sir proteins to sites of action, the yeast RNA polymerase III transcription machinery, nuclear matrix attachment regions to confer long-range function on immunoglobulin, ATP-dependent remodeling of chromatin, and the transcriptional basis of steroid physiology. Annotation copyrighted by Book News, Inc., Portland, OR.

"Yet another cell and molecular biology book? At the very least, you would think that if I was going to write a textbook, I should write one in an area that really needs one instead of a subject that already has multiple excellent and definitive books. So, why write this book, then? First, it's a course that I have enjoyed teaching for many years, so I am very familiar with what a student really needs to take away from this class within the time constraints of a semester. Second, because it is a course that many students take, there is a greater opportunity to make an impact on more students' pocketbooks than if I were to start off writing a book for a highly specialized upper- level course. And finally, it was fun to research and write, and can be revised easily for inclusion as part of our next textbook, High School Biology."--Open Textbook Library.