Before bringing samples , please fill out the order form
,sample manifesto and E-mail to Hardik Shah, so we can give you an estimate for
the services needed. You will have to provide a grant number to be charged for
these services, you will not be charged until you receive your data. The order
form, sample manifest form, and sample manifest guidelines can be downloaded
using the window highlighted to the right of this introduction. Please bring
the sample manifest along with the samples. You must review the markings on all
tubes/samples so when a bar code is generated for your samples, there will be
no confusion.
For the modules listed below, information is organized for
your review of the pertinent metabolic pathways. For example in module 1 there
are “hyperlinks” in the Pubchem ID and subpathway columns. If you click the
hotlink in pubchem, it will take you to pages of information about the
metabolite, including structures. If you click on the subpathway hyperlink, you
will get taken to the small molecule pathway diagram database, and you can
visualize where your metabolite is relative to others in the pathway. Clicking
on a metabolite in the figure will take you to the human metabolome database
for more specific information about that metabolite.
Module # 1 180 Metabolites
The targeted metabolomics approach in this assay is based on measurements with the AbsoluteIDQ p180 kit (BIOCRATES Life Sciences AG, Innsbruck, Austria). This method allows simultaneous quantification of 188 metabolites using liquid chromatography and flow injection analysis–mass spectrometry. For an example of this Module’s utility, see Wang-Sattler et al Novel biomarkers for pre-diabetes identified by metabolomics, Molecular Systems Biology 8; 615; doi:10.1038/msb.2012.43.
| Biochemical Name |
Pubchem ID |
Super Pathway |
Sub Pathway |
| Alanine |
5950 |
Amino acids |
Alanine metabolism,Aspartate metabolism |
| Arginine |
3362 |
Amino acids |
Urea cycle, Arginine and Proline metabolism |
| Asparagine |
6267 |
Amino acids |
Aspartate metabolism |
| Aspartic acid |
5960 |
Amino acids |
Aspartate metabolism |
| Citrulline |
9750 |
Amino acids |
Urea cycle |
| Glutamine |
5961 |
Amino acids |
Glutamate metabolism |
| Glutamic Acid |
33032 |
Amino acids |
Glutamate metabolism |
| Glycine |
750 |
Amino acids |
Glycine and serine metabolism |
| Histidine |
6274 |
Amino acids |
Histidine metabolism |
| Isoleucine |
6306 |
Amino acids |
Valine, Leucine and Isoleucine Degradation |
| Leucine |
6106 |
Amino acids |
Valine, Leucine and Isoleucine Degradation |
| Lysine |
5962 |
Amino acids |
Lysine Degradation |
| Methionine |
6137 |
Amino acids |
Methionine metabolism |
| Ornithine |
6262 |
Amino acids |
Urea cycle, Arginine and Proline metabolism |
| Phenylalanine |
6140 |
Amino acids |
Phenylalanine and Tyrosine metabolism |
| Proline |
145742 |
Amino acids |
Urea cycle, Arginine and Proline metabolism |
| Serine |
5951 |
Amino acids |
Glycine and serine metabolism |
| Threonine |
6288 |
Amino acids |
Threonine and 2-oxobutanoate degradation |
| Tryptophan |
6305 |
Amino acids |
Tryptophan metabolism |
| Tyrosine |
6057 |
Amino acids |
Phenylalanine and Tyrosine metabolism |
| Valine |
6287 |
Amino acids |
Valine,Leucine and Isoleucine metabolism |
| Acetylornithine |
439232 |
Amino acids |
Urea cycle |
| Asymmetric dimetylarginine |
123831 |
Amino acids |
Arginine and Proline metabolism |
| alpha-Aminoadipic acid |
469 |
Amino acids |
Lysine Degradation |
| Carnosine |
439224 |
Amino acids |
beta-Alanine metabolism, Histidine metabolism |
| Creatinine |
588 |
Amino acids |
Guanidinoacetate Methyltransferase Definciency,Arginine and Proline metabolism |
| dihydroxyphenylalanine |
6047 |
Amino acids |
Phenylalanine and Tyrosine metabolism |
| Dopamine |
681 |
Amino acids |
Catecholamine biosynthesis |
| histamine |
774 |
Amino acids |
Histidine metabolism |
| Kynurenine |
161166 |
Amino acids |
Tryptophan Degradation,Lysine Degradation |
| Methioninesulfoxide |
847 |
Amino acids |
Methionine metabolism |
| Nitrotyrosine |
65124 |
Amino acids |
Phenylalanine and Tyrosine metabolism |
| Hydroxyproline |
5810 |
Amino acids |
Arginine and Proline metabolism |
| Phenylethylamine |
1001 |
Amino acids |
Tyrosine metabolism |
| Putrescine |
1045 |
Amino acids |
Spermidine and Spermine biosynthesis |
| Sacrcosine |
1088 |
Amino acids |
Glycine and Serine metabolism |
| Symmetric dimethylarginine |
169148 |
Amino acids |
Urea cycle, Arginine and Proline metabolism |
| Serotonin |
5202 |
Amino acids |
Tryptophan metabolism |
| Spermidine |
1102 |
Amino acids |
Spermidine and Spermine biosynthesis |
| Spermine |
1103 |
Amino acids |
Spermidine and Spermine biosynthesis |
| Taurine |
1123 |
Amino acids |
Taurine and Hypotaurine metabolism |
| Total dimethylarginine |
123831 |
Amino acids |
Arginine and Proline metabolism |
Acylcarnitines C0 to C18: 2 |
40 species |
Lipid |
Fatty acid metabolism |
Glycerophospholipids C14:0 to C44: 6 |
90 species |
Lipid metabolism |
Phospholipid biosynthesis |
Sphingolipids SM C14:1 to SM C26:1 |
15 species |
Lipid metabolism |
Sphingolipid biosynthesis |
| Hexose |
5793 |
Carbohydrate |
Glycolysis pathway, Pentose Phosphate pathway , Gluconeogenesis |
Back to top
Module # 2-150 Metabolites
The targeted metabolomics
approach in this assay is based on measurements with the
AbsoluteIDQ p150 kit (BIOCRATES Life Sciences AG, Innsbruck,
Austria). This method allows simultaneous quantification of 150
metabolites using flow injection analysis–mass spectrometry. This module can be
calibrated for use with urine metabolites, as well as plasma. For an example of
its use with plasma measurements, see Solberg et al Metabolomic
Analyses of Plasma Reveals New Insights into Asphyxia and Resuscitation in Pigs
PLoS
ONE 5(3): e9606. doi:10.1371/journal.pone.0009606.
| Biochemical Name |
Pubchem ID |
Super Pathway |
Sub Pathway |
| Arginine |
3362 |
Aminoacids |
Urea cycle, Arginine, Proline metabolism |
| Glutamine |
5961 |
Aminoacids |
Glutamate metabolism |
| Glycine |
750 |
Aminoacids |
Glycine,Serine,Threonine metabolism |
| Histidine |
6274 |
Aminoacids |
Histidine metabolism |
| Isoleucine/leucine |
6306 |
Aminoacids |
Valine,Leucine, Isoleucine metabolism |
| Methionine |
6137 |
Aminoacids |
Cycteine,Methionine, SAM, Taurine metabolism |
| Ornithine |
6262 |
Aminoacids |
Urea cycle, Arginine, Proline metabolism |
| Phenylalanine |
6140 |
Aminoacids |
Tyrosine metabolism |
| Proline |
145742 |
Aminoacids |
Urea cycle, Arginine, Proline metabolism |
| Serine |
5951 |
Aminoacids |
Glycine,Serine,Threonine metabolism |
| Threonine |
6288 |
Aminoacids |
Glycine,Serine, Threonine metabolism |
| Tryptophan |
6305 |
Aminoacids |
Tryptophan metabolism |
| Tyrosine |
6057 |
Aminoacids |
Phenylalanine & Tyrosine metabolism |
| Valine |
6287 |
Aminoacids |
Valine,Leucine,Isoleucine metabolism |
Acylcarnitines C0 to C18:2 |
41species |
Lipidmetabolism |
Fattyacid metabolism |
Glycerophospholipids C6:0 to C44:6 |
92species |
LipidMetabolism |
Phospholipid biosynthesis |
Sphingolipids SM C14:1 to SM C26:1 |
15sepcies |
LipidMetabolism |
Sphingolipid biosynthesis |
| Hexose |
5793 |
Carbohydrate |
Glycolysis pathway, Pentose Phosphate pathway , Gluconeogenesis |
Back to top
Module #3 Glycolysis, Pentose Phosphate and TCA Metabolites
For an example by the SIMC facility, see Lv
et al Advantages of Tandem LC-MS for the Rapid Assessment of Tissue-Specific Metabolic Complexity Using a Pentafluorophenylpropyl Stationary Phase J.
Proteome Res. 2011, 10, 2104–2112 |dx.doi.org/10.1021/pr1011119
| Biochemical Name |
Pubchem ID |
Super Pathway |
Sub Pathway |
| Fructose-1,6-bisphosphate |
445555 |
Carbohydrates |
Glycolysis pathway |
| 6-phospho-D-gluconate |
91493 |
Carbohydrates |
Pentose Phosphate pathway |
| Glucosamine-6-phosphate |
439217 |
Carbohydrates |
Amino sugar metabolism |
| 3-phosphoglycerate |
724 |
Carbohydrates |
Glycolysis, Gluconeogenesis, pyruvate metabolism |
| Glucose-6-phosphate |
5958 |
Carbohydrates |
Glycolysis, Gluconeogenesis, pyruvate metabolism |
| Ribose-5-phosphate |
439167 |
Carbohydrates |
Pentose Phosphate pathway |
| Uridine diphosphate glucose |
53477679 |
Carbohydrates |
Nucleotide sugars metabolism |
| N-acetyl glucosamine |
440996 |
Carbohydrates |
Amino sugar metabolism |
| alpha-glycerol-3-phosphate |
439162 |
Carbohydrates |
Glycolysis pathway |
| Phosphoenolpyruvate |
1005 |
Carbohydrates |
Glycolysis, Gluconeogenesis, pyruvate metabolism |
| alpha ketoglutaric acid |
51 |
Carbohydrates |
Krebs Cycle |
| Aspartic acid |
5960 |
Carbohydrates |
Aspartate Metabolism, Urea Cycle |
| citric acid |
311 |
Carbohydrates |
Krebs Cycle |
| Succinic acid |
1110 |
Carbohydrates |
Krebs Cycle |
| fumaric acid |
444972 |
Carbohydrates |
Krebs Cycle |
| Pyruvic acid |
1060 |
Carbohydrates |
Glycolysis, Gluconeogenesis, pyruvate metabolism |
| Lactic acid |
107689 |
Carbohydrates |
Glycolysis, Gluconeogenesis, pyruvate metabolism |
Back to top
Module #4 Redox and Bioenergetics
For an example by the SIMC facility, see Lv
et al Advantages of Tandem LC-MS for the Rapid Assessment of Tissue-Specific
Metabolic Complexity Using a Pentafluorophenylpropyl Stationary Phase J.
Proteome Res. 2011, 10, 2104–2112 |dx.doi.org/10.1021/pr1011119
Back to top
Module # 5 Acylcarnitines
Under development
Back to top
Module #6 Amino acids and Biogenic amines
Under development
Back to top
Module # 7 GC/MS small molecule screen by electron impact
ionization
Detailed website information under development
GC/MS will identify at least 40 to 50 small
metabolites, in the combined glycolytic/gluconeogenic, pentose and TCA cycle
pathways. For an example by the SIMC facility, see Vaitheesvaran B, Yang L,
Hartil K, Glaser S, Yazulla S, et al. (2012) Peripheral Effects of FAAH
Deficiency on Fuel and Energy Homeostasis: Role of Dysregulated Lysine
Acetylation. PLoS ONE 7(3): e33717. doi:10.1371/journal.pone.0033717
Module # 8
Gas Chromatography/Flame Ionization detection for fatty acid profiling
Detailed website information under development
Module #9 Estimates of de novo lipogenesis
using deuterated water
Detailed website information under development
Both fatty acid and cholesterol synthesis can be assessed in tissues, depending on the time frame for the study.
For examples by the SIMC Facility see Haas et al, Hepatic Insulin Signaling Is Required for Obesity-Dependent Expression of SREBP-1c mRNA but Not for Feeding-Dependent Expression, Cell Metabolism 15, 873–884, 2012; Zhao et al Regulation of lipogenesis by cyclin-dependent kinase 8–mediated control of SREBP-1, J. Clin. Invest. 122:2417-27, 2012; Vaitheesvaran B, Yang L, Hartil K, Glaser S, Yazulla S, et al. (2012) Peripheral Effects of FAAH Deficiency on Fuel and Energy Homeostasis: Role of Dysregulated Lysine Acetylation. PLoS ONE 7(3): e33717
Module #10 Hepatic Recycling Glucose Tolerance Test
Illustrative diagram of pathways for hepatic metabolism of the deuterium-labeled [2-2H1]/[6,6-2H2]glucose. Use of deutrated, instead of unlabeled glucose during a GTT allows for the estimation of hepatic and peripheral glucose disposal. Equal amounts of D1 and D2 glucose ( [2-2H1]- and [6,6-2H2] glucose) are given, at 1 mg glucose/gm body weight. De-deuteration of [2-2H1] glucose occurs during the equilibration of glucose-6-P (G-6-P) with fructose-6-P (F-6-P), which causes plasma D1/D2 levels to decrease. De-deuteration of [6,6-2H1]glucose does not occur until the deuterated glucose reaches the level of pyruvate. Whole body glucose disposal (mainly peripheral) is reflected in the area under the curve of [6,6-2H2] glucose during the GTT. Hepatic vs peripheral glucose disposal can be assessed from the differences in plasma [2-2H1]- and [6,6-2H2] glucose during the GTT. This test allows for non-invasive monitoring of peripheral and hepatic glucose disposal, and the mice can be used, after recovery, for additional phenotyping tests. GK, glucokinase; G6Pase, glucose-6-phosphatase; PK, pyruvate kinase. Diagram from Xu et al Decreased Hepatic Futile Cycling Compensates for Increased Glucose Disposal in the Pten Heterodeficient Mouse, Diabetes 55: 3372-3380, 2006. More examples, done by the SIMC Facility: Vaitheesvaran, LeRoith and Kurland MKR mice have increased dynamic glucose disposal despite metabolic inflexibility, and hepatic and peripheral insulin insensitivity Diabetologia 53:2224–2232, 2010; Vaitheesvaran et al Advantages of dynamic ‘‘closed loop’’ stable isotope flux phenotyping over static ‘‘open loop’’ clamps in detecting silent genetic and dietary phenotypes Metabolomics 6:180–190, 2010; Zong et al Enhanced Energy Expenditure, Glucose Utilization, and Insulin Sensitivity in VAMP8 Null Mice Diabetes. 60: 30–38, 2011