Data for Metabolic Profiling of Visceral and Subcutaneous Adipose Tissue from Colorectal Cancer Patients: UHPLC-QTOF MS analyis of subcutaneous and visceral adipose tissue samples (Study ST000081)
(Analysis AN000132)Values for each metabolite have been scaled by dividing by the mean across all factors Run Hierarchial cluster analysis on this study | Run Heatmap cluster analysis on this studyMetabolite | F1 | F2 | F3 |
---|---|---|---|
Cer (d34:1) | 0.9404 | 0.7840 | 1.2220 |
Cer (d38:1) | 1.2073 | 0.6437 | 1.3352 |
Cer (d39:1) | 0.9948 | 0.7260 | 1.2745 |
Cer (d40:1) | 1.0235 | 0.7866 | 1.2110 |
Cer (d40:2) | 1.5168 | 0.6828 | 1.2647 |
Cer (d41:1) | 0.9197 | 0.7244 | 1.2838 |
FA (18:1) | 2.2349 | 0.9689 | 0.9055 |
PC (32:0) | 0.7010 | 0.7590 | 1.2715 |
PC (32:1) | 0.9447 | 0.8587 | 1.1470 |
PC (34:1) | 0.9111 | 0.8082 | 1.2009 |
PC (34:2) | 0.8258 | 0.7928 | 1.2249 |
PC (36:1) | 1.0326 | 0.8216 | 1.1751 |
PC (36:2) | 0.9965 | 0.8176 | 1.1827 |
PC (36:3) | 0.7609 | 0.8233 | 1.2010 |
PC (36:4) B | 0.8859 | 0.8081 | 1.2035 |
PC (38:4) | 0.9975 | 0.8084 | 1.1918 |
PE (34:1) B | 0.7156 | 0.8416 | 1.1847 |
PE (36:2) B | 0.9380 | 0.9130 | 1.0933 |
PE (38:4) B | 1.1905 | 0.8773 | 1.1033 |
PI (38:4) | 0.7609 | 0.8692 | 1.1552 |
plasmenyl-PC (34:2) | 1.0740 | 1.0442 | 0.9483 |
plasmenyl-PC (36:4) | 1.4098 | 1.1254 | 0.8329 |
plasmenyl-PE (34:1) | 0.8007 | 0.8821 | 1.1362 |
plasmenyl-PE (34:2) | 0.7663 | 0.9160 | 1.1078 |
plasmenyl-PE (36:1) | 0.7370 | 0.8369 | 1.1898 |
plasmenyl-PE (36:2) | 0.5936 | 0.8738 | 1.1675 |
plasmenyl-PE (36:4) | 1.1474 | 0.9570 | 1.0280 |
plasmenyl-PE (38:4) | 1.0044 | 0.8984 | 1.1011 |
plasmenyl-PE (38:5) | 1.2924 | 0.9438 | 1.0264 |
SM (d34:1) | 0.8960 | 0.8923 | 1.1183 |
SM (d36:1) | 1.0861 | 0.8313 | 1.1599 |
SM (d38:1) | 1.1158 | 0.8376 | 1.1506 |
SM (d40:1) | 1.0116 | 0.8876 | 1.1112 |
SM (d42:1) | 0.7580 | 0.8512 | 1.1735 |
SM (d42:2) | 0.7350 | 0.7888 | 1.2382 |
Factors:
F1 | Tissue type:Adipose Tissue_QC |
F2 | Tissue type:Subcutaenous Adipose |
F3 | Tissue type:Visceral Adipose |