CD Genomics provides untargeted metabolomics data analysis. We use bioinformatics to help you explore the secrets of small molecular compounds in biological samples. Our unique data analysis skills and high-quality data analysis platform will exceed your expectations on personalized data analysis.
Introduction of Untargeted Metabolomics Analysis
Metabolomics is a novel discipline after genomics and proteomics. Its main goal is to quantitatively study the multivariate dynamic responses of living organisms to external stimuli, physiological and pathological changes and gene mutations. The objects of study are small molecular substances with a relative molecular weight of less than 1000 DA, such as lipids, ketones, organic acids and so on.
Untargeted metabolomics refers to the use of LC-MS, GC-MS, NMR technology to unbiasedly detect all small molecule metabolites before and after being stimulated or disturbed in cells, tissues, organs or organisms (mainly endogenous small molecular compounds with a relative molecular weight of less than 1000 Da), screen differential metabolites by bioinformatic analysis, analyze pathways of differential metabolites, and reveal the physiological mechanism of their changes.
Fig 1. Overview of integrated metabolomics. (Nakabayashi R, Saito K. 2015)
Application Field
Untargeted metabolomics data analysis can be used for but is not limited to the following research:
New drug screening, drug toxicological safety and evaluation.
Microorganisms and fermentation, intestinal flora.
Study on the diagnosis, treatment and pathogenesis of the disease.
Plant and agricultural research.
Food health and nutrition.
Environmental research.
Advantages of CD Genomics
Complete hardware.
Rich experience in omics research.
Strict quality control.
Professional bioinformatic analysis team.
CD Genomics Data Analysis Pipeline
Bioinformatics Analysis Content
Untargeted metabolomics data analysis provided by CD Genomics including standard analysis and advanced analysis.
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Data preprocessing
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Data preprocessing (noise filtering, peak matching, peak extraction)
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Data normalization
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Data quality control
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QC sample TIC overlay
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PCA analysis
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Statistical analysis
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Univariate analysis, including difference multiples and T test analysis
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Multivariate analysis (PCA and PLS-DA)
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Differential metabolite analysis
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Differential metabolite identification
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Cluster analysis of differential metabolites
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KEGG enrichment analysis of differential metabolites
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For untargeted metabolomics data analysis, if you have other needs, for example, ROC analysis, metabolites correlation analysis, and analysis of influencing factors of metabolic pathway. We will provide appropriate biological information analysis content according to your needs. In addition, if you provide other omics sequencing data, we will provide a joint analysis of multiple omics. For analysis content, price, cycle, if you have any questions, please click online inquiry.
CD Genomics has successfully conducted untargeted metabolomics data analysis on a variety of samples, such as plant tissues and cells, animal tissues and cells, serum and plasma, urine, feces, body fluids, microorganisms, etc. Combined with rich project experience, strict data quality control and professional analysis process, to ensure that the project is carried out accurately and quickly. Please contact us for more information and a detailed quote.
Reference
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Nakabayashi R , Saito K . Integrated metabolomics for abiotic stress responses in plants. Current Opinion in Plant Biology, 2015, 24:10-16.
