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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites covers the fundamental aspects of the new instrumental and methodological developments in omics technolog… Read more
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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites covers the fundamental aspects of the new instrumental and methodological developments in omics technologies, including those related to genomics, transcriptomics, epigenetics, proteomics and metabolomics, as well as other omics approaches such as glycomics, peptidomics and foodomics. The principal applications are presented in the following complementary volume.
The chapters discuss in detail omics technologies, DNA microarray analysis, next-generation sequencing technologies, genome-wide analysis of methylation and histone modifications, emerging nanotechniques in proteomics, imaging mass spectrometry in proteomics, recent quantitative proteomics approaches, and advances in high-resolution NMR-based metabolomics, as well as MS-based non-targeted metabolomics and metabolome analysis by CE-MS, global glycomics analyses, foodomics, and high resolution analytical tools for quantitative peptidomics. Key aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization and integration of omics data are also covered.
Analytical scientists, PhD students and technicians in control laboratories, universities, hospitals, research laboratories and regulation agencies
Contributors to Volume 63Series Editor's PrefacePrefaceChapter 1: DNA Microarrays Technology: Overview and Current StatusAbstract
1 Introduction and Overview
2 Types of DNA Microarrays
3 Applications of Microarrays
4 Microarray Bioinformatics
5 Discussion and Concluding Remarks
Chapter 2: Challenges and Future Trends in DNA Microarray AnalysisAbstract
1 Introduction
2 Toward Microarray POC Devices
3 Validity of Microarray Data
4 Clinical Adoption
5 Future Trends of Microarray
6 Conclusion
Chapter 3: Next-Generation Sequencing: New Tools to Solve Old ChallengesAbstract
1 Introduction
2 Basis for NGS
3 Sample Preparation for NGS
4 Sequencing Techniques
5 NGS Data Analysis
6 Main Applications of NGS
7 Integrating Omics Data
Chapter 4: Omics Tools for the Genome-Wide Analysis of Methylation and Histone ModificationsAbstract
1 Omics Meets Epigenetics
2 Methods in Epigenomics
3 Concluding Remarks
Chapter 5: An Overview of Quantitative Proteomic ApproachesAbstract
1 Introduction
2 Immuno-Based Detection Methods
3 Mass Spectrometry-Based Detection Methods
4 Conclusions
Acknowledgments
Chapter 6: Emerging Nanotechniques in ProteomicsAbstract
1 Introduction
2 Overview of Protein Microarrays
3 Detection Platforms in Nanoproteomics
4 Biomarker Discovery by Nanoproteomics Approaches
5 Conclusions
Acknowledgments
Chapter 7: Mass Spectrometry Imaging in Proteomics and MetabolomicsAbstract
1 The Need for Imaging-Based Proteomics and Metabolomics
2 Mass Spectrometry Imaging
3 Applications of MSI
4 Future Developments
Chapter 8: Advances in NMR-Based MetabolomicsAbstract
1 Introduction
2 NMR Methods
3 Micro-Coil NMR
4 Fast NMR Methods
5 Hyperpolarization in NMR
6 Statistical and Data Analysis Methods
7 Spectral Assignment and Metabolite Quantitation Methods
8 STOCSY and RANSY Methods
9 Applications
10 Conclusions
Acknowledgment
Disclosure of Potential Conflict of Interest
Chapter 9: The Role of Mass Spectrometry in Nontargeted MetabolomicsAbstract
1 Introduction
2 Study Design
3 Sample Preparation
4 Analytical Strategies
5 MS-Based Untargeted Metabolomics
6 Data Analysis
7 Identification of Biomarkers and Biochemical Pathway Visualization
8 Synopsis
Chapter 10: Direct Mass Spectrometry-Based Approaches in MetabolomicsAbstract
1 Introduction
2 Matrix-Assisted and Matrix-Free Laser Desorption/Ionization MS
3 Direct-Infusion MS
4 Ambient-Ionization MS
5 Imaging MS
6 Conclusions
Chapter 11: Functional Glycomics Analysis: Challenges and MethodologiesAbstract
1 Introduction
2 Structural Analysis of Glycans
3 Functional Analysis of Glycans
4 Integrating Structure and Function: A Case Study
5 Conclusions
Acknowledgments
Chapter 12: Applications of Glycan Microarrays to Functional GlycomicsAbstract
1 Introduction
2 Generation of Glycan Microarrays
3 Examples of Reported Glycan Microarrays
4 Identification of Virus Receptors with Glycan Microarrays
5 Conclusions
Acknowledgments
Chapter 13: High-Resolution Analytical Tools for Quantitative PeptidomicsAbstract
1 Introduction
2 Absolute Quantification
3 Relative Quantification
4 Concluding Remarks
Chapter 14: Analysis of Deep Sequencing Data: Insights and ChallengesAbstract
1 Introduction
2 Fundamentals
3 Applications
4 The Computing Side of Deep Sequencing
5 Summary and Future Directions
Acknowledgments
Chapter 15: Gene Expression Analysis and Profiling of Microarrays Data and RNA-Sequencing DataAbstract
1 Human Genome and Transcriptome: From Gene Loci to Gene Products
2 Experimental Technologies for Genome-Wide Expression Analysis
3 Bioinformatic Analysis of Gene Expression Data
Chapter 16: Bioinformatic Approaches to Increase Proteome CoverageAbstract
1 Introduction
2 Increasing the Number of Fragmented Features
3 Reducing the Number of Unassigned Spectra
4 Summary
Acknowledgments
Chapter 17: Transcriptome and Metabolome Data Integration—Technical Perquisites for Successful Data Fusion and VisualizationAbstract
1 Introduction
2 Extraction, Measurement, Raw Data Analysis, and Data Fusion
3 Visualization
4 MassTRIX Reloaded—Combined Analysis and Visualization of Metabolome and Trascriptome Data
5 Conclusions
Chapter 18: Computational Approaches for Visualization and Integration of Omics DataAbstract
1 Introduction
2 Data Overview
3 Data Processing and Analyzing Tools
4 Network and Pathway Databases
5 Visualization of Omics Data
6 Conclusion
Index
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