UPS2

Sigma

 

Proteomics Dynamic Range Standard Set

Description

ApplicationThe Proteomics Dynamic Range Standard Set can be used to standardize and/or evaluate mass spectrometric (e.g., LC-MS/MS, MALDI-TOF-MS, etc.) and electrophoretic analysis conditions prior to the analysis of complex protein samples. UPS2 can be used to bracket precious experimental data sets between runs of a known complex standard sample. This allows confirmation of the robustness of the analysis method and stability of the instrument employed. Additionally, laboratories generating or comparing mass spectrometric data derived from poorly defined samples can use UPS2 as an external reference to assist with the evaluation of results and experimental methodology.
General descriptionThe Proteomics Dynamic Range Standard Set is produced from a mixture of 48 individual human source or human sequence recombinant proteins, each of which has been selected to limit heterogeneous post-translational modifications (PTMs). The protein standard is formulated from 6 mixtures of 8 proteins to present a dynamic range of 5 orders of magnitude, ranging from 50 pmoles to 500 amoles. Each protein has been quantitated by amino acid analysis (AAA) prior to formulation.

Properties

concentration10.6 μg/ampule protein
shipped inwet ice
storage temp.−20°C

Safety

Hazard CodesXn,B
Risk Statements22-36/37/38-42
Safety Statements22-24-26-36/37

Components

Kit component onlyProteomics Dynamic Range Standard 1 vial
Kit component also available separatelyTrypsin from porcine pancreas, Proteomics Grade, Dimethylated 20 μg T6567

Related Products

Related productUPS1, Universal Proteomics Standard Set

References

referenceTabb, D.L., et al., MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis. J. Proteome Res. 6, 654-661, (2007) Abstract
 Uwaje, N.C., et al., Interrogation of MS/MS search data with an pI Filter algorithm to increase protein identification success. Electrophoresis 28, 1867-1874, (2007) Abstract
 Nesvizhskii AI., Protein identification by tandem mass spectrometry and sequence database searching Methods Mol. Biol. 367, 87-119, (2007) Abstract