Journal: Poultry Science

Article Title: Integrative metabolome and transcriptome analyses provide insights into skeletal muscle development of two duck breeds during embryonic stage

doi: 10.1016/j.psj.2026.106444

Figure Lengend Snippet: Metabolomics analysis of three embryonic stages in breast muscle of Yulin black duck and Pekin duck. (A) Pearson’s correlation coefficients among samples. The greater the correlation between samples, the larger the value and the redder the color. (B) PLS-DA score plots in duck. Each point represents a sample, and the degree of dispersion of the two colors represents the distribution trend of the two groups on the PC1 and PC2 axes. (C) Volcano maps of SDMs in BME15 vs. PME15. (D) Volcano maps of SDMs in BME21 vs. PME21. (E) Volcano maps of SDMs in BME27 vs. PME27. (F) Top 20 KEGG pathways of SDMs in BME15 vs. PME15. (G) Top 20 KEGG pathways of SDMs in BME21 vs. PME21. (H) Top 20 KEGG pathways of SDMs in BME27 vs. PME27.

Article Snippet: Metabolomic profiling analysis was performed by Metabolon as previously described ( ).

Techniques: Dispersion

Journal: Poultry Science

Article Title: Integrative metabolome and transcriptome analyses provide insights into skeletal muscle development of two duck breeds during embryonic stage

doi: 10.1016/j.psj.2026.106444

Figure Lengend Snippet: Combined transcriptome and metabolomics analysis of three embryonic stages in breast muscle of Yulin black duck and Pekin duck. (A) Venn map of DEGs and SDMs in E15. (B) Venn map of DEGs and SDMs in E21. (C) Venn map of DEGs and SDMs in E27. (D) Correlation analysis for KEGG of SDMs and DEGs in E15. (E) Correlation analysis for KEGG of SDMs and DEGs in E21. (F) Correlation analysis for KEGG of SDMs and DEGs in E27.

Article Snippet: Metabolomic profiling analysis was performed by Metabolon as previously described ( ).

Techniques:

Journal: Scientific Reports

Article Title: Exercise induces dynamic changes in intra-articular metabolism and inflammation associated with remodeling of the infrapatellar fat pad in mice

doi: 10.1038/s41598-025-86726-0

Figure Lengend Snippet: Effect of short-term wheel running exercise on synovial fluid metabolites. Synovial fluid was collected from knees of male and female mice following 0, 1, 3, or 5 days of voluntary wheel running exercise and intra-articular injections, as described in Fig. . Samples were analyzed by Metabolon’s Global Metabolomic Profiling Analysis, which identified 202 biochemicals confirmed by authenticated library standards. Peak area data were normalized to extracted volume and then median scaled. ( A ) 2-way hierarchical clustering analysis was used to identify patterns in synovial fluid metabolite abundance across experimental groups. Heatmap color legend signifies standardized metabolite values calculated by subtracting the mean and dividing by the standard deviation. Columns represent mean values per experimental group, and rows represent individual metabolites. Note that 3- and 5-day exercise conditions clustered together in the third and fourth columns. Filled cells in right-hand column indicate metabolites significantly altered by exercise (Generalized Linear Model including exercise, sex, and treatment effects). Green rectangles designate clusters (C1 – C5) with distinct changes in metabolite abundance versus days of exercise. ( B ) Pie chart of relative percent of all detected metabolites categorized by Metabolon’s Metabolic Super Pathway assignment. Numbers in parentheses indicate absolute number of metabolites detected per category. ( C ) Pie charts of cluster-specific metabolite composition based on Metabolic Super Pathway assignments. Donut charts indicate the relative proportion of metabolites within a given cluster that were significantly altered by exercise, biological sex, or treatment ( p < 0.05). Line graphs of metabolites significantly altered by exercise, expressed as abundance fold-change relative to day 0 values (log2) and color coded according to Metabolic Super Pathway (Supplemental Table 7).

Article Snippet: Samples were analyzed by Metabolon’s Global Metabolomic Profiling Analysis, which identified 202 biochemicals confirmed by authenticated library standards.

Techniques: Standard Deviation