Clustering data with hclust algorithm 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)

ESI/QTOF negative ion mode (Analysis AN000132)
MetaboliteStructureF1F2F3
FA (18:1)ME6561112.230.970.91
Cer (d38:1)ME6561061.210.641.34
Cer (d40:2)ME6561091.520.681.26
Cer (d39:1)ME6561070.990.731.27
Cer (d41:1)ME6561100.920.721.28
PC (34:2)ME6561150.830.791.22
Cer (d34:1)ME6561050.940.781.22
PC (34:1)ME6561140.910.811.20
PC (36:4) BME6561190.890.811.20
plasmenyl-PE (38:4)ME6561321.000.901.10
SM (d40:1)ME6561371.010.891.11
PC (32:1)ME6561130.940.861.15
PE (36:2) BME6561220.940.911.09
SM (d34:1)ME6561340.900.891.12
SM (d36:1)ME6561351.090.831.16
SM (d38:1)ME6561361.120.841.15
Cer (d40:1)ME6561081.020.791.21
PC (36:1)ME6561161.030.821.18
PC (36:2)ME6561171.000.821.18
PC (38:4)ME6561201.000.811.19
plasmenyl-PE (36:2)ME6561300.590.871.17
PC (32:0)ME6561120.700.761.27
SM (d42:2)ME6561390.740.791.24
PI (38:4)ME6561240.760.871.16
SM (d42:1)ME6561380.760.851.17
PC (36:3)ME6561180.760.821.20
PE (34:1) BME6561210.720.841.18
plasmenyl-PE (36:1)ME6561290.740.841.19
plasmenyl-PE (34:1)ME6561270.800.881.14
plasmenyl-PE (34:2)ME6561280.770.921.11
plasmenyl-PC (36:4)ME6561261.411.130.83
plasmenyl-PC (34:2)ME6561251.071.040.95
plasmenyl-PE (38:5)ME6561331.290.941.03
PE (38:4) BME6561231.190.881.10
plasmenyl-PE (36:4)ME6561311.150.961.03

Factors:

F1Tissue type:Adipose Tissue_QC
F2Tissue type:Subcutaenous Adipose
F3Tissue type:Visceral Adipose
Data matrix
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