Products to Make Metabolic Profiling Easier

Mass Spectrometry Metabolite Library of Standards (MSMLSTM) supplied with software tool MSMLSDiscoveryTM

Take the hassle out of sourcing, preparing compounds and building a library!  MSMLS contains over 600 high quality primary metabolite standards provided in convenient 96 well format. The library of standards are most commonly used to provide retention times and spectra for key metabolic compounds, help optimize mass spectrometry analytical protocols, and qualify and quantify mass spectrometry sensitivity and limit of detection.  MSMLSDiscovery is a software tool designed to streamline and simplify the tedious process of building authentic standard libraries for mass spectrometry and supports the extraction, manipulation, and stoarge of the date generated when using MSMLS.

IROA Biochemical Quantitation Kit Catalog #300-250 (for Mammalian cells)

Like SILAC, IROA utilizes full metabolic labeling to distinguish between two mammalian cell populations but uses both 5% 13C (experimental samples) and 95% 13C (control samples) to remove artifacts/noise, calculate carbon number and molecular formula  to enable metabolite identification.
 

 

News & Events

Conferences

We hope to see you at the 11th International Conference of the Metabolomics Society from June 29th in San Francisco

POSTER SESSIONS

Tuesday posters:
 
Poster 241: Metabolic Analysis of Type 1 Diabetic Primary T Cells Using Isotopic Ratio Outlier Analysis (IROA) by LC-MS
 
Poster 299: Examination of the global yeast metabolome inpacted by the deletion of lipin phosphatidate phosphatase (Pah1p), using IROA and GC-TOF-MS
 
How do Worms Respond to Stress?

SECIM investigators teamed up with industry partner IROA Technologies to conduct isotopic ratio outlier analysis (IROA). In this experiment, we used IROA to “label” or culture two biological samples with different percentages of 13C: a control group of worms, and a group of worms that was gently heated (a heat shock). This labeling technique allowed us to mix together and then analyze differences between the samples. We discovered more than 500 peaks that significantly changed following a heat shock. Now the mystery is to find out the identities of more of these peaks!