kegg pathway enrichment analysis Search Results


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Changes in <t>the</t> <t>metabolic</t> pathways among the different dietary regimes of Père David’s deer. Bubble plots via <t>KEGG</t> enrichment analysis showing the top 20 most enriched metabolic pathways based on the distinguishing fecal metabolites of Père David’s deer between the PLANT and SILAGE diets ( a ), the COMB and SILAGE diets ( b ), and the PLANT and COMB diets ( c ). The rich factor is the ratio of the number of significantly different metabolites detected to the number of metabolites annotated in the pathway. The larger the value, the greater the degree of enrichment. The size of a dot represents the number of significantly different metabolites enriched in the corresponding pathway.
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A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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RStudio kegg pathway enrichment analyses
A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
Kegg Based Metabolic Enrichment Analysis, supplied by PathView Systems Ltd, 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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A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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PathView Systems Ltd visualized enriched kegg pathways
A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched <t>KEGG</t> pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents <t>a</t> <t>metabolic</t> pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.
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Image Search Results


Changes in the metabolic pathways among the different dietary regimes of Père David’s deer. Bubble plots via KEGG enrichment analysis showing the top 20 most enriched metabolic pathways based on the distinguishing fecal metabolites of Père David’s deer between the PLANT and SILAGE diets ( a ), the COMB and SILAGE diets ( b ), and the PLANT and COMB diets ( c ). The rich factor is the ratio of the number of significantly different metabolites detected to the number of metabolites annotated in the pathway. The larger the value, the greater the degree of enrichment. The size of a dot represents the number of significantly different metabolites enriched in the corresponding pathway.

Journal: Animals : an Open Access Journal from MDPI

Article Title: Effect of Different Dietary Regimes on the Gut Microbiota and Fecal Metabolites of Père David’s Deer

doi: 10.3390/ani12050584

Figure Lengend Snippet: Changes in the metabolic pathways among the different dietary regimes of Père David’s deer. Bubble plots via KEGG enrichment analysis showing the top 20 most enriched metabolic pathways based on the distinguishing fecal metabolites of Père David’s deer between the PLANT and SILAGE diets ( a ), the COMB and SILAGE diets ( b ), and the PLANT and COMB diets ( c ). The rich factor is the ratio of the number of significantly different metabolites detected to the number of metabolites annotated in the pathway. The larger the value, the greater the degree of enrichment. The size of a dot represents the number of significantly different metabolites enriched in the corresponding pathway.

Article Snippet: A KEGG enrichment analysis was performed to capture the changes in the metabolic pathways in Père David’s deer in the Dafeng Reserve during the transition from feeding on silage to naturally occurring plants.

Techniques:

A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched KEGG pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents a metabolic pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection

doi: 10.1038/s41467-024-46837-0

Figure Lengend Snippet: A Pie chart of quantified metabolite categories. Colors represent different compound super-classes; coloration follows the legend counterclockwise per each pie chart. B Volcano plot analysis performed on early-ESCC tissue samples vs. normal controls. P -values were determined by two-sided t -test without adjustments. Differentially-expressed metabolites are indicated by blue dots (down-regulation relative to normal controls) and red dots (up-regulation relative to normal controls), respectively. Gray dots indicate no significant difference. C Treemap of the most enriched KEGG pathways in early-ESCC tissue samples. Relative betweenness centrality was the selected node importance measure for pathway topological analysis. Each square represents a metabolic pathway; the square size represents the impact factor in the topological analysis; the color of the squares indicates the p -value of the enrichment analysis; and the darker the color, the more significant the enrichment. D O2PLS loading plots of the key differential metabolites analyzed by NMR-based and MS-based metabolomics. The top 30 metabolites in early-ESCC tissues detected by NMR and MS are labeled in purple and blue, respectively. Source data are provided as a Source Data file.

Article Snippet: KEGG metabolic pathway enrichment analysis was further performed (Fig. ), and we found that ‘Alanine, aspartate and glutamate metabolism’ consistently exhibited the most significant changes from tumor-bearing to tumor-resected phase and to healthy status in biofluids (Supplementary Fig. ).

Techniques: Labeling