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.
• 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
Table of Contents
Part 1: Omics and Human Disease
Comparative Mitochondrial Proteomics: Perspective in Human Diseases; Yujie Jiang and Xin Wang
Studies 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 Moreno
Next Generation Sequencing in Cancer Research and Clinical Application; Derek Shyr and Qi Liu
Scientific Challenges and Implementation Barriers to Translation of Pharmacogenomics in Clinical Practice; Y. W. Francis Lam
Part 2: Translational and Personalized Medicine
Clinical Proteomics and Omics Clues Useful in Translational Medicine Research; Elena López, Luis Madero, Juan López-Pascual, and Martin Latterich
Genomes2Drugs: Identifies Target Proteins and Lead Drugs from Proteome Data; David Toomey, Heinrich C. Hoppe, Marian P. Brennan, Kevin B. Nolan, and Anthony J. Chubb
Part 3: Molecular and Genetic Markers
Pitfalls and Limitations in Translation from Biomarker Discovery to Clinical Utility in Predictive and Personalised Medicine; Elisabeth Drucker and Kurt Krapfenbauer
How 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 Eisenhaber
Application of "Omics" to Prion Biomarker Discovery; Rhiannon L. C. H. Huzarewich, Christine G. Siemens, and Stephanie A. Booth
Part 4: Omics and Pathogens
Insights from Genomics into Bacterial Pathogen Populations; Daniel J. Wilson
High 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 Raoult
Coronavirus Genomics and Bioinformatics Analysis; Patrick C. Y. Woo, Yi Huang, Susanna K. P. Lau, and Kwok-Yung Yuen
Part 5: Companion Diagnostics
Applications of Next-Generation Sequencing Technologies to Diagnostic Virology; Luisa Barzon, Enrico Lavezzo, Valentina Militello, Stefano Toppo, and Giorgio Palù
Mass Spectrometry-Based Proteomics in Molecular Diagnostics: Discovery of Cancer Biomarkers Using Tissue Culture; Debasish Paul, Avinash Kumar, Akshada Gajbhiye, Manas K. Santra, and Rapole Srikanth
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.