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ms-based metabolome profiling  (Illumina Inc)


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    Illumina Inc ms-based metabolome profiling
    Ms Based Metabolome Profiling, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/ms-based+metabolome+profiling/ms+based+metabolome+profiling/pm35588986-47-1-12
    Average 90 stars, based on 1 article reviews
    ms-based metabolome profiling - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Clinical Proteomics:

    Article Title: Investigating the gut microbiome and metabolome following treatment with artificial sweeteners acesulfame potassium and saccharin in young adult Wistar rats.
    Article Snippet: To elucidate if artificial sweeteners modify fecal bacterial composition and the fecal and plasma metabolomes, Wistar rats from both sexes were treated for 28 days with acesulfame potassium (40 and 120 mg/kg body weight) and saccharin (20 and 100 mg/kg body weight).. Targeted MS-based metabolome profiling (plasma and feces) and fecal 16S gene sequencing were conducted.. Both sweeteners exhibited only minor effects on the fecal metabolome and microbiota.

    Marker:

    Article Title: Investigating the gut microbiome and metabolome following treatment with artificial sweeteners acesulfame potassium and saccharin in young adult Wistar rats.
    Article Snippet: To elucidate if artificial sweeteners modify fecal bacterial composition and the fecal and plasma metabolomes, Wistar rats from both sexes were treated for 28 days with acesulfame potassium (40 and 120 mg/kg body weight) and saccharin (20 and 100 mg/kg body weight).. Targeted MS-based metabolome profiling (plasma and feces) and fecal 16S gene sequencing were conducted.. Both sweeteners exhibited only minor effects on the fecal metabolome and microbiota.

    Sequencing:

    Article Title: Investigating the gut microbiome and metabolome following treatment with artificial sweeteners acesulfame potassium and saccharin in young adult Wistar rats.
    Article Snippet: To elucidate if artificial sweeteners modify fecal bacterial composition and the fecal and plasma metabolomes, Wistar rats from both sexes were treated for 28 days with acesulfame potassium (40 and 120 mg/kg body weight) and saccharin (20 and 100 mg/kg body weight).. Targeted MS-based metabolome profiling (plasma and feces) and fecal 16S gene sequencing were conducted.. Both sweeteners exhibited only minor effects on the fecal metabolome and microbiota.



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    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
    Ms Based Metabolomic Profiling, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ms-based metabolome profiling  (Illumina Inc)
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    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
    Ms Based Metabolome Profiling, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ms-based metabolomics profiling  (Metabolon Inc)
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    Metabolon Inc ms-based metabolomics profiling
    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
    Ms Based Metabolomics Profiling, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    Chemometric analysis of metabolomic data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.

    Journal: International Journal of Molecular Sciences

    Article Title: Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study

    doi: 10.3390/ijms25042247

    Figure Lengend Snippet: Chemometric analysis of metabolomic data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.

    Article Snippet: MS-based metabolomic profiling was conducted on the Metabolon platform in Doha, Qatar.

    Techniques:

    The results of pathway analysis and enrichment analysis of the metabolomic data. ( A ) Enrichment analysis based on the Small Molecule Pathway Database (SMPDB). ( B ) Pathway analysis based on the KEGG database.

    Journal: International Journal of Molecular Sciences

    Article Title: Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study

    doi: 10.3390/ijms25042247

    Figure Lengend Snippet: The results of pathway analysis and enrichment analysis of the metabolomic data. ( A ) Enrichment analysis based on the Small Molecule Pathway Database (SMPDB). ( B ) Pathway analysis based on the KEGG database.

    Article Snippet: MS-based metabolomic profiling was conducted on the Metabolon platform in Doha, Qatar.

    Techniques: