Omics in Clinical Practice Genomics, Pharmacogenomics, Proteomics, and Transcriptomics in Clinical Research

This title includes a number of Open Access chapters.This book serves as an introduction to genomics, proteomics, and transcriptomics, putting these fields in relation to human disease and ailments. The various chapters consider the role of translation and personalized medicine, as well as pathogen detection, evolution, and infection, in relation to genomics, proteomics, and transcriptomics. The topic of companion diagnostics is also covered. The book is broken into five sections. Part I examines the connection between omics and human disease. Part II looks at the applications for the fields of translational and personalized medicine. Part III focuses on molecular and genetic markers. Part IV describes the use of omics while studying pathogens, and Part V examines the applications for companion diagnostics. The book:• Introduces genomics, proteomics, and transcriptomics in relation to human disease and ailments • Considers the role of translation and personalized medicine in relation to genomics, proteomics, and transcriptomics • Covers molecular and genetic markers • Considers the role of genomics, proteomics, and transcriptomics in relation to pathogen detection, evolution, and infection • Covers companion diagnostics in relation to genomics, proteomics, and transcriptomics clinical applications and research

IntroductionPart 1: Omics and Human DiseaseComparative Mitochondrial Proteomics: Perspective in Human Diseases; Yujie Jiang and Xin WangStudies of Complex Biological Systems with Applications to Molecular Medicine: The Need to Integrate Transcriptomic and Proteomic Approaches; Elena Silvestri, Assunta Lombardi, Pieter de Lange, Daniela Glinni, Rosalba Senese, Federica Cioffi, Antonia Lanni, Fernando Goglia, and Maria MorenoNext Generation Sequencing in Cancer Research and Clinical Application; Derek Shyr and Qi LiuScientific Challenges and Implementation Barriers to Translation of Pharmacogenomics in Clinical Practice; Y. W. Francis LamPart 2: Translational and Personalized Medicine Clinical Proteomics and Omics Clues Useful in Translational Medicine Research; Elena López, Luis Madero, Juan López-Pascual, and Martin LatterichGenomes2Drugs: Identifies Target Proteins and Lead Drugs from Proteome Data; David Toomey, Heinrich C. Hoppe, Marian P. Brennan, Kevin B. Nolan, and Anthony J. ChubbPart 3: Molecular and Genetic MarkersPitfalls and Limitations in Translation from Biomarker Discovery to Clinical Utility in Predictive and Personalised Medicine; Elisabeth Drucker and Kurt KrapfenbauerHow Bioinformatics Influences Health Informatics: Usage of Biomolecular Sequences, Expression Profiles and Automated Microscopic Image Analyses for Clinical Needs and Public Health; Vladimir Kuznetsov, Hwee Kuan Lee, Sebastian Maurer-Stroh, Maria Judit Molnár, Sandor Pongor, Birgit Eisenhaber, and Frank EisenhaberApplication of "Omics" to Prion Biomarker Discovery; Rhiannon L. C. H. Huzarewich, Christine G. Siemens, and Stephanie A. BoothPart 4: Omics and PathogensInsights from Genomics into Bacterial Pathogen Populations; Daniel J. WilsonHigh Throughput Sequencing and Proteomics to Identify Immunogenic Proteins of a New Pathogen: The Dirty Genome Approach; Gilbert Greub, Carole Kebbi-Beghdadi, Claire Bertelli, François Collyn, Beat M. Riederer, Camille Yersin, Antony Croxatto, and Didier RaoultCoronavirus Genomics and Bioinformatics Analysis; Patrick C. Y. Woo, Yi Huang, Susanna K. P. Lau, and Kwok-Yung YuenPart 5: Companion DiagnosticsApplications of Next-Generation Sequencing Technologies to Diagnostic Virology; Luisa Barzon, Enrico Lavezzo, Valentina Militello, Stefano Toppo, and Giorgio PalùMass Spectrometry-Based Proteomics in Molecular Diagnostics: Discovery of Cancer Biomarkers Using Tissue Culture; Debasish Paul, Avinash Kumar, Akshada Gajbhiye, Manas K. Santra, and Rapole SrikanthIndex

Dr. Yu Liu is a bioinformatician with special interest in next-gen sequencing and its applications. His specialties are molecular biology, DNA sequence analysis, next-gen sequencing application on gene expression analysis and comparative genomics, and microarray gene expression analysis. He is the director of the Bioinformatics Resource Center at the University of Wisconsin-Madison. He has a master's degree in computer science from the University of Wisconsin-Madison; a master's degree in developmental biology from the Chinese Academy of Science; and PhD in molecular biology from The Ohio State University.