This book discusses topics related to the topological structure and biological function of gene networks regulated by microRNAs. It focuses on analyzing the relation between topological structure and biological function, applying these theoretical results to gene networks involving microRNA, illustrating their biological mechanisms, and identifying the roles of microRNA in controlling various phenomena emerging from the networks. In addition, the book explains how to control the complex biological phenomena using mathematical tools and offers a new perspective on studying microRNA. It is a useful resource for graduate students and researchers who are working on or interested in microRNAs and gene network.

MicroRNA (miRNA) biology is a cutting-edge topic in basic as well as biomedical research. This is a specialized book focusing on the current understanding of the role of miRNAs in the development, progression, invasion, and metastasis of diverse types of cancer. It also reviews their potential for applications in cancer diagnosis, prognosis, and th

RNAs form complexes with proteins and other RNAs. The RNA‐infrastructure represents the spatiotemporal interaction of these proteins and RNAs in a cell‐wide network. RNA Infrastructure and Networks brings together these ideas to illustrate the scope of RNA‐based biology, and how connecting RNA mechanisms is a powerful tool to investigate regulatory pathways. This book is but a taste of the wide range of RNA‐based mechanisms that connect in the RNA infrastructure.

The world is faced with an epidemic of metabolic diseases such as obesity and type 2 diabetes. This is due to changes in dietary habits and the decrease in physical activity. Exercise is usually part of the prescription, the first line of defense, to prevent or treat metabolic disorders. However, we are still learning how and why exercise provides metabolic benefits in human health. This open access volume focuses on the cellular and molecular pathways that link exercise, muscle biology, hormones and metabolism. This will include novel “myokines” that might act as new therapeutic agents in the future.

This new volume of Current Topics in Developmental Biology covers developmental timing, with contributions from an international board of authors. The chapters provide a comprehensive set of reviews covering such topics as the timing of developmental programs in Drosophila, temporal patterning of neural progenitors, and environmental modulation of developmental timing.

This detailed volume provides a collection of protocols for the study of miRNA functions in plants. Beginning with coverage of miRNA function, biogenesis, activity, and evolution in plants, the book continues by guiding readers through methods on the identification and detection of plant miRNAs, bioinformatic analyses, and strategies for functional analyses of miRNAs. 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, Plant MicroRNAs: Method and Protocols aims to ensure successful results in the further study of this vital area of plant science.

The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available. Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.