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What is Metabolomics

Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications
It is the systematic study of the unique chemical fingerprints that specific cellular processes leave behind - specifically, the study of their small-molecule metabolite profiles
Published in Chapter:
Current Omics Technologies in Biomarker Discovery
Wei Ding (Merck & Co., Inc., USA), Ping Qiu (Merck & Co., Inc., USA), Yan-Hui Liu (Merck & Co., Inc., USA), and Wenqing Feng (Accela Sciences, LLC, USA)
DOI: 10.4018/978-1-60960-491-2.ch004
Abstract
Biomarkers are playing an increasingly important role in drug discovery and development and can be applied for many purposes, including disease mechanism study, diagnosis, prognosis, staging, and treatment selection. Advances in high-throughput “omics” technologies, including genomics, transcriptomics, proteomics and metabolomics, significantly accelerate the pace of biomarker discovery. Comprehensive molecular profiling using these “omics” technology has become a field of intensive research aiming at identifying biomarkers relevant for improved diagnostics and therapeutics. Although each “omics” technology plays important roles in biomarker research, different “omics” platforms have different strengths and limitations. This chapter aims to give an overview of these “omics” technologies and their current application in the biomarker discovery.
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Current Environmental Health Challenges: Part I - Exposures and Research Trends
Refers to systematic identification and quantification of small molecules and their interactions within a biological system, commonly known as metabolites, within cells, biofluids, tissues or organisms.
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Computer Aided Knowledge Discovery in Biomedicine
The study of small molecule metabolites and their expression within a system or organism.
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Systems Biology Strategies in Studies of Energy Homeostasis In Vivo
Metabolomics is a discipline dedicated to the global study of small molecules ( i.e. , metabolites), their dynamics, composition, interactions, and responses to interventions or to changes in their environment, in cells, tissues, and biofluids .
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Best Practices of Feature Selection in Multi-Omics Data
It detects, quantifies, and identifies small molecule metabolites emerging from lipids, carbohydrates, vitamins, hormones, and other cell components in tissues, cells, and physiological fluids in a certain time high-throughput technologies.
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