Description
Book SynopsisThis book presents advances in the interdisciplinary field of microRNA research of human cancers from a unique perspective of quantitative sciences: bioinformatics, computational and systems biology, and mathematical modeling. This volume contains adaptations and critical reviews of state-of-the-art studies, ranging from technological advances in microRNA detection and profiling, clinically oriented microRNA profiling in several human cancers, to a systems biology analysis of global patterns of microRNA regulation of signaling and metabolic pathways. It discusses interactions with transcription factor regulatory networks and mathematical modeling of microRNA regulation.
Trade Review"Topics on microRNAs have taken scientists by storm in the last seven years. Today more than 5500 publications related to microRNAs can be found in PubMed. Do we really need another book for readers already saturated with this topic? The answer is a definite yes. Yuriy Gusev has wisely put together a fine book linking various aspects of the study of microRNAs starting with profiling of microRNoma, the functional study of pathway networks involving miRNAs as well as evolutionary models of microRNoma evolution or mathematical models of posttranscriptional regulation of microRNAs. Readers will find the book different compared with others already published. One thing is certain: the curiosity of the readers will increase with every page turned."
—George A. Calin, MD Anderson Cancer Center
Table of ContentsMeasurement and Interpretation of MiRNA Expression Profiles. MicroRNA Expression Analysis by LNA Enhanced Microarrays. Analysis and QC for Real-Time QPCR Arrays of Human MicroRNAs. Massively Parallel MicroRNA Profiling in the Haematologic Malignancies. Who Dunit? MicroRNAs Involved in Prostate Cancer. Intronic MicroRNA. Creation, Evolution and Regulation. Mirome Architecture and Genomic Instability. Interconnection of MicroRNA and Transcription Factor-Mediated Regulatory Networks. Analysis of MicroRNA Profiling Data with Systems Biology Tools. Mathematical and Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs.
