Understanding Metabolomics in Biomedical Research
The term "omics" refers to any type of specific study that provides collective information on a biological system. Representative omics includes genomics, proteomics, and metabolomics, and new omics is constantly being added, such as lipidomics or glycomics. Each omics technique is crucial...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Korean Endocrine Society
2016-03-01
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| Series: | Endocrinology and Metabolism |
| Subjects: | |
| Online Access: | http://e-enm.org/Synapse/Data/PDFData/2008ENM/enm-31-7.pdf |
| _version_ | 1811273574097354752 |
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| author | Su Jung Kim Su Hee Kim Ji Hyun Kim Shin Hwang Hyun Ju Yoo |
| author_facet | Su Jung Kim Su Hee Kim Ji Hyun Kim Shin Hwang Hyun Ju Yoo |
| author_sort | Su Jung Kim |
| collection | DOAJ |
| description | The term "omics" refers to any type of specific study that provides collective information on a biological system. Representative omics includes genomics, proteomics, and metabolomics, and new omics is constantly being added, such as lipidomics or glycomics. Each omics technique is crucial to the understanding of various biological systems and complements the information provided by the other approaches. The main strengths of metabolomics are that metabolites are closely related to the phenotypes of living organisms and provide information on biochemical activities by reflecting the substrates and products of cellular metabolism. The transcriptome does not always correlate with the proteome, and the translated proteome might not be functionally active. Therefore, their changes do not always result in phenotypic alterations. Unlike the genome or proteome, the metabolome is often called the molecular phenotype of living organisms and is easily translated into biological conditions and disease states. Here, we review the general strategies of mass spectrometry-based metabolomics. Targeted metabolome or lipidome analysis is discussed, as well as nontargeted approaches, with a brief explanation of the advantages and disadvantages of each platform. Biomedical applications that use mass spectrometry-based metabolomics are briefly introduced. |
| first_indexed | 2024-04-12T23:02:18Z |
| format | Article |
| id | doaj.art-40d0cf80b2934271831d832a3b4d3d74 |
| institution | Directory Open Access Journal |
| issn | 2093-596X 2093-5978 |
| language | English |
| last_indexed | 2024-04-12T23:02:18Z |
| publishDate | 2016-03-01 |
| publisher | Korean Endocrine Society |
| record_format | Article |
| series | Endocrinology and Metabolism |
| spelling | doaj.art-40d0cf80b2934271831d832a3b4d3d742022-12-22T03:13:02ZengKorean Endocrine SocietyEndocrinology and Metabolism2093-596X2093-59782016-03-0131171610.3803/EnM.2016.31.1.720256Understanding Metabolomics in Biomedical ResearchSu Jung KimSu Hee KimJi Hyun KimShin HwangHyun Ju YooThe term "omics" refers to any type of specific study that provides collective information on a biological system. Representative omics includes genomics, proteomics, and metabolomics, and new omics is constantly being added, such as lipidomics or glycomics. Each omics technique is crucial to the understanding of various biological systems and complements the information provided by the other approaches. The main strengths of metabolomics are that metabolites are closely related to the phenotypes of living organisms and provide information on biochemical activities by reflecting the substrates and products of cellular metabolism. The transcriptome does not always correlate with the proteome, and the translated proteome might not be functionally active. Therefore, their changes do not always result in phenotypic alterations. Unlike the genome or proteome, the metabolome is often called the molecular phenotype of living organisms and is easily translated into biological conditions and disease states. Here, we review the general strategies of mass spectrometry-based metabolomics. Targeted metabolome or lipidome analysis is discussed, as well as nontargeted approaches, with a brief explanation of the advantages and disadvantages of each platform. Biomedical applications that use mass spectrometry-based metabolomics are briefly introduced.http://e-enm.org/Synapse/Data/PDFData/2008ENM/enm-31-7.pdfMetabolomicsMass spectrometryMetabolic profilingTargeted metabolomicsLipidomics |
| spellingShingle | Su Jung Kim Su Hee Kim Ji Hyun Kim Shin Hwang Hyun Ju Yoo Understanding Metabolomics in Biomedical Research Endocrinology and Metabolism Metabolomics Mass spectrometry Metabolic profiling Targeted metabolomics Lipidomics |
| title | Understanding Metabolomics in Biomedical Research |
| title_full | Understanding Metabolomics in Biomedical Research |
| title_fullStr | Understanding Metabolomics in Biomedical Research |
| title_full_unstemmed | Understanding Metabolomics in Biomedical Research |
| title_short | Understanding Metabolomics in Biomedical Research |
| title_sort | understanding metabolomics in biomedical research |
| topic | Metabolomics Mass spectrometry Metabolic profiling Targeted metabolomics Lipidomics |
| url | http://e-enm.org/Synapse/Data/PDFData/2008ENM/enm-31-7.pdf |
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