The OMICs::Applications in Neuroscience summarizes the state of the art in OMICs applications in neurology and neuroscience, attracting neurologists who are interested in the progress of this field towards clinical applications, and neuroscientists who may be not familiar with the most recent advances in this ever-changing field. The book will include an overview of most relevant high-throughput approaches (collectively known as OMICs) and how they relate to neurology andneuroscience. The explosion of high-throughput assays has introduced large datasets, computational servers, and bioinformatics approaches to neuroscience and medicine in general. The reader will be provided with an overview of the application or method, a perspective on the current and future applications in neurology and neuroscience, and a few published examples illustrating possible practical use. Emerging topics such as ethical issues related to personal genome sequencing, epigenetics, network analysis, and role of peripheral biomarkers in disease diagnosis and follow-up will be covered as well.
Section 1. DNA; Chapter 1: Medical DNA Sequencing in Neuroscience; Chapter 2: Epigenomics: an Overview; Chapter 3: The Role Of Epigenomics In Genetically Identical Individuals; Section 2. RNA; Chapter 5: Decoding alternative mRNAs in the OMIC-age; Chapter 6: Transcriptomics: from Differential Expression to Coexpression; Chapter 7: High-Throughput-RNA Interference As A Tool For Discovery in Neuroscience; Chapter 8: The Genetics Of Gene Expression: Multiple Layers and Multiple Players; Section 3. PROTEIN; Chapter 9: Proteomics; Chapter 10: Focused plasma proteomics for the study of brain aging and neurodegeneration; Section 4. CELLS AND CONNECTIONS; Chapter 11: Cellomics: Characterization of Neuronal Subtypes by High-Throughput Transgenic Mouse Models; Chapter 12: Neuroscience and Metabolomics; Chapter 13: Brain Connectomics in Man and Mouse; Chapter 14: Optogenetics; Chapter 15: Characterising the Gut Microbiome: Role in Brain-Gut Function; Section 5. THERAPEUTICS; Chapter 16: OMICS in Drug Discovery: From Small Molecule Leads to Clinical Candidates; Chapter 17: Pharmacogenomics; Section 6. OMICsOME: integration of OMICs data; Chapter 18: Multidimensional Databases Of Animal Models; Chapter 19: Network Biology and Molecular Medicine in the Post Genomic Era: The Systems Pathobiology of Network Medicine;
Comments (0)
Your review appreciation cannot be sent
Report comment
Are you sure that you want to report this comment?
Report sent
Your report has been submitted and will be considered by a moderator.