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non targeted metabolomics analysis  (Metabolon Inc)

 
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    Metabolon Inc non targeted metabolomics analysis
    <t>Metabolomics</t> analysis. (A) Metabolite volcano plot. The x-axis displays the log2 of fold change, while the y-axis shows the -log10 of the significance P-value. Significantly differential metabolites: those meeting FC > 2 and P value < 0.05 are depicted in orange; those meeting FC < 0.5 and P value < 0.05 are depicted in purple. Non-significant metabolites are depicted in grey. (B) Differential metabolite clustering heatmap. Relative abundance is depicted by color intensity: red indicates higher expression, blue lower expression. Columns represent samples, rows denote metabolite names. The clustering tree on the left displays differentiated metabolites. (C) Venn diagram. The sum of numbers within each circle represents the total differentiated metabolites for that comparison pair. Overlapping areas indicate metabolites common to both comparison groups. (D) Enrichment factor plot: Enrichment is measured by the Rich factor, P-value, and the number of metabolites enriched in this pathway. The Rich factor denotes the ratio of enriched differentially expressed metabolites to annotated metabolites in the pathway. A higher Rich factor indicates greater enrichment. P-values typically range from 0 to 0.05; values closer to zero denote more significant enrichment. Each point represents a metabolic pathway, with the x-axis displaying Rich factor values for different pathways and the y-axis showing the enriched pathways. Dots indicate the number of metabolites within each pathway. Color corresponds to P-value significance.
    Non Targeted Metabolomics Analysis, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/non+targeted+metabolomics+analysis/pmc13054027-67-16-14?v=Metabolon+Inc
    Average 86 stars, based on 1 article reviews
    non targeted metabolomics analysis - by Bioz Stars, 2026-07
    86/100 stars

    Images

    1) Product Images from "Mechanism of Scutellaria baicalensis extracellular vesicles in attenuating Mycoplasma gallisepticum -induced inflammation via TRPC1 - STIM1/ORAI1 channel inhibition"

    Article Title: Mechanism of Scutellaria baicalensis extracellular vesicles in attenuating Mycoplasma gallisepticum -induced inflammation via TRPC1 - STIM1/ORAI1 channel inhibition

    Journal: Poultry Science

    doi: 10.1016/j.psj.2026.106773

    Metabolomics analysis. (A) Metabolite volcano plot. The x-axis displays the log2 of fold change, while the y-axis shows the -log10 of the significance P-value. Significantly differential metabolites: those meeting FC > 2 and P value < 0.05 are depicted in orange; those meeting FC < 0.5 and P value < 0.05 are depicted in purple. Non-significant metabolites are depicted in grey. (B) Differential metabolite clustering heatmap. Relative abundance is depicted by color intensity: red indicates higher expression, blue lower expression. Columns represent samples, rows denote metabolite names. The clustering tree on the left displays differentiated metabolites. (C) Venn diagram. The sum of numbers within each circle represents the total differentiated metabolites for that comparison pair. Overlapping areas indicate metabolites common to both comparison groups. (D) Enrichment factor plot: Enrichment is measured by the Rich factor, P-value, and the number of metabolites enriched in this pathway. The Rich factor denotes the ratio of enriched differentially expressed metabolites to annotated metabolites in the pathway. A higher Rich factor indicates greater enrichment. P-values typically range from 0 to 0.05; values closer to zero denote more significant enrichment. Each point represents a metabolic pathway, with the x-axis displaying Rich factor values for different pathways and the y-axis showing the enriched pathways. Dots indicate the number of metabolites within each pathway. Color corresponds to P-value significance.
    Figure Legend Snippet: Metabolomics analysis. (A) Metabolite volcano plot. The x-axis displays the log2 of fold change, while the y-axis shows the -log10 of the significance P-value. Significantly differential metabolites: those meeting FC > 2 and P value < 0.05 are depicted in orange; those meeting FC < 0.5 and P value < 0.05 are depicted in purple. Non-significant metabolites are depicted in grey. (B) Differential metabolite clustering heatmap. Relative abundance is depicted by color intensity: red indicates higher expression, blue lower expression. Columns represent samples, rows denote metabolite names. The clustering tree on the left displays differentiated metabolites. (C) Venn diagram. The sum of numbers within each circle represents the total differentiated metabolites for that comparison pair. Overlapping areas indicate metabolites common to both comparison groups. (D) Enrichment factor plot: Enrichment is measured by the Rich factor, P-value, and the number of metabolites enriched in this pathway. The Rich factor denotes the ratio of enriched differentially expressed metabolites to annotated metabolites in the pathway. A higher Rich factor indicates greater enrichment. P-values typically range from 0 to 0.05; values closer to zero denote more significant enrichment. Each point represents a metabolic pathway, with the x-axis displaying Rich factor values for different pathways and the y-axis showing the enriched pathways. Dots indicate the number of metabolites within each pathway. Color corresponds to P-value significance.

    Techniques Used: Expressing, Comparison



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    Image Search Results


    Metabolomics analysis. (A) Metabolite volcano plot. The x-axis displays the log2 of fold change, while the y-axis shows the -log10 of the significance P-value. Significantly differential metabolites: those meeting FC > 2 and P value < 0.05 are depicted in orange; those meeting FC < 0.5 and P value < 0.05 are depicted in purple. Non-significant metabolites are depicted in grey. (B) Differential metabolite clustering heatmap. Relative abundance is depicted by color intensity: red indicates higher expression, blue lower expression. Columns represent samples, rows denote metabolite names. The clustering tree on the left displays differentiated metabolites. (C) Venn diagram. The sum of numbers within each circle represents the total differentiated metabolites for that comparison pair. Overlapping areas indicate metabolites common to both comparison groups. (D) Enrichment factor plot: Enrichment is measured by the Rich factor, P-value, and the number of metabolites enriched in this pathway. The Rich factor denotes the ratio of enriched differentially expressed metabolites to annotated metabolites in the pathway. A higher Rich factor indicates greater enrichment. P-values typically range from 0 to 0.05; values closer to zero denote more significant enrichment. Each point represents a metabolic pathway, with the x-axis displaying Rich factor values for different pathways and the y-axis showing the enriched pathways. Dots indicate the number of metabolites within each pathway. Color corresponds to P-value significance.

    Journal: Poultry Science

    Article Title: Mechanism of Scutellaria baicalensis extracellular vesicles in attenuating Mycoplasma gallisepticum -induced inflammation via TRPC1 - STIM1/ORAI1 channel inhibition

    doi: 10.1016/j.psj.2026.106773

    Figure Lengend Snippet: Metabolomics analysis. (A) Metabolite volcano plot. The x-axis displays the log2 of fold change, while the y-axis shows the -log10 of the significance P-value. Significantly differential metabolites: those meeting FC > 2 and P value < 0.05 are depicted in orange; those meeting FC < 0.5 and P value < 0.05 are depicted in purple. Non-significant metabolites are depicted in grey. (B) Differential metabolite clustering heatmap. Relative abundance is depicted by color intensity: red indicates higher expression, blue lower expression. Columns represent samples, rows denote metabolite names. The clustering tree on the left displays differentiated metabolites. (C) Venn diagram. The sum of numbers within each circle represents the total differentiated metabolites for that comparison pair. Overlapping areas indicate metabolites common to both comparison groups. (D) Enrichment factor plot: Enrichment is measured by the Rich factor, P-value, and the number of metabolites enriched in this pathway. The Rich factor denotes the ratio of enriched differentially expressed metabolites to annotated metabolites in the pathway. A higher Rich factor indicates greater enrichment. P-values typically range from 0 to 0.05; values closer to zero denote more significant enrichment. Each point represents a metabolic pathway, with the x-axis displaying Rich factor values for different pathways and the y-axis showing the enriched pathways. Dots indicate the number of metabolites within each pathway. Color corresponds to P-value significance.

    Article Snippet: In collaboration with Paisen Bio (Shanghai, China; http://www.personalbio.cn/ ), cell samples were submitted to Metabolon for non-targeted metabolomics analysis.

    Techniques: Expressing, Comparison

    Schematic diagram of integrated multi-omics data analysis workflow for children with ASD. This figure illustrates the integrated multi-omics analysis framework established in this study to investigate the core mechanisms of gut-brain axis dysfunction in children with ASD, encompassing clinical phenotypes, genomics, microbiomics, and metabolomics.

    Journal: Frontiers in Microbiology

    Article Title: Integrated multi-omics analysis reveals the involvement of the gut-brain axis in children with autism

    doi: 10.3389/fmicb.2026.1766850

    Figure Lengend Snippet: Schematic diagram of integrated multi-omics data analysis workflow for children with ASD. This figure illustrates the integrated multi-omics analysis framework established in this study to investigate the core mechanisms of gut-brain axis dysfunction in children with ASD, encompassing clinical phenotypes, genomics, microbiomics, and metabolomics.

    Article Snippet: Non-targeted metabolomics analysis was performed by Beijing Genomics Institution.

    Techniques: Biomarker Discovery

    Metabonomic pathway of significantly different metabolites. (A) Heatmap of tear differentially expressed metabolites among both groups. (B,C) Category histogram and KEGG enrichment analysis of differentially expressed metabolites in tears.

    Journal: Frontiers in Medicine

    Article Title: Changes in human tear metabolome following topical 0.05% cyclosporine A on primary Sjögren’s syndrome

    doi: 10.3389/fmed.2025.1653585

    Figure Lengend Snippet: Metabonomic pathway of significantly different metabolites. (A) Heatmap of tear differentially expressed metabolites among both groups. (B,C) Category histogram and KEGG enrichment analysis of differentially expressed metabolites in tears.

    Article Snippet: Tears from one eye per patient were randomly chosen for non-targeted metabolomics analysis, which was conducted by Shanghai Genechem Co., Ltd. (Shanghai, China).

    Techniques: