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Metabolomics for Biomarker Discovery in Gastroenterological Cancer
The study of the omics cascade, which involves comprehensive investigations based on genomics, transcriptomics, proteomics, metabolomics, etc., has developed rapidly and now plays an important role in life science research. Among such analyses, metabolome analysis, in which the concentrations of low...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192679/ https://www.ncbi.nlm.nih.gov/pubmed/25003943 http://dx.doi.org/10.3390/metabo4030547 |
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author | Nishiumi, Shin Suzuki, Makoto Kobayashi, Takashi Matsubara, Atsuki Azuma, Takeshi Yoshida, Masaru |
author_facet | Nishiumi, Shin Suzuki, Makoto Kobayashi, Takashi Matsubara, Atsuki Azuma, Takeshi Yoshida, Masaru |
author_sort | Nishiumi, Shin |
collection | PubMed |
description | The study of the omics cascade, which involves comprehensive investigations based on genomics, transcriptomics, proteomics, metabolomics, etc., has developed rapidly and now plays an important role in life science research. Among such analyses, metabolome analysis, in which the concentrations of low molecular weight metabolites are comprehensively analyzed, has rapidly developed along with improvements in analytical technology, and hence, has been applied to a variety of research fields including the clinical, cell biology, and plant/food science fields. The metabolome represents the endpoint of the omics cascade and is also the closest point in the cascade to the phenotype. Moreover, it is affected by variations in not only the expression but also the enzymatic activity of several proteins. Therefore, metabolome analysis can be a useful approach for finding effective diagnostic markers and examining unknown pathological conditions. The number of studies involving metabolome analysis has recently been increasing year-on-year. Here, we describe the findings of studies that used metabolome analysis to attempt to discover biomarker candidates for gastroenterological cancer and discuss metabolome analysis-based disease diagnosis. |
format | Online Article Text |
id | pubmed-4192679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-41926792014-10-10 Metabolomics for Biomarker Discovery in Gastroenterological Cancer Nishiumi, Shin Suzuki, Makoto Kobayashi, Takashi Matsubara, Atsuki Azuma, Takeshi Yoshida, Masaru Metabolites Review The study of the omics cascade, which involves comprehensive investigations based on genomics, transcriptomics, proteomics, metabolomics, etc., has developed rapidly and now plays an important role in life science research. Among such analyses, metabolome analysis, in which the concentrations of low molecular weight metabolites are comprehensively analyzed, has rapidly developed along with improvements in analytical technology, and hence, has been applied to a variety of research fields including the clinical, cell biology, and plant/food science fields. The metabolome represents the endpoint of the omics cascade and is also the closest point in the cascade to the phenotype. Moreover, it is affected by variations in not only the expression but also the enzymatic activity of several proteins. Therefore, metabolome analysis can be a useful approach for finding effective diagnostic markers and examining unknown pathological conditions. The number of studies involving metabolome analysis has recently been increasing year-on-year. Here, we describe the findings of studies that used metabolome analysis to attempt to discover biomarker candidates for gastroenterological cancer and discuss metabolome analysis-based disease diagnosis. MDPI 2014-07-07 /pmc/articles/PMC4192679/ /pubmed/25003943 http://dx.doi.org/10.3390/metabo4030547 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Nishiumi, Shin Suzuki, Makoto Kobayashi, Takashi Matsubara, Atsuki Azuma, Takeshi Yoshida, Masaru Metabolomics for Biomarker Discovery in Gastroenterological Cancer |
title | Metabolomics for Biomarker Discovery in Gastroenterological Cancer |
title_full | Metabolomics for Biomarker Discovery in Gastroenterological Cancer |
title_fullStr | Metabolomics for Biomarker Discovery in Gastroenterological Cancer |
title_full_unstemmed | Metabolomics for Biomarker Discovery in Gastroenterological Cancer |
title_short | Metabolomics for Biomarker Discovery in Gastroenterological Cancer |
title_sort | metabolomics for biomarker discovery in gastroenterological cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192679/ https://www.ncbi.nlm.nih.gov/pubmed/25003943 http://dx.doi.org/10.3390/metabo4030547 |
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