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Merck

MSP1H

Sigma-Aldrich

MS PhosphoMix 1 Heavy

Phosphopeptide Standard for MS

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About This Item

分類程式碼代碼:
12352200
NACRES:
NA.24

品質

Phosphopeptide Standard for MS

品質等級

分析物化學類別

amino acids, peptides, proteins

包裝

pkg of 200 pmol total phosphopeptides

技術

HPLC: suitable
LC/MS: suitable

應用

food and beverages

格式

multi-component solution

儲存溫度

−20°C

一般說明

The MS PhosphoMix line of products allows for the testing of the strengths and weaknesses of phosphopeptide sample processing, mass spectrometry analysis and instrument configurations. The mixes are produced from synthetic phosphopeptides with sequences derived from naturally occurring peptides as identified by Mann et al. in HeLa cells.† Because the sequences are derived from mammalian cells, many natural phosphorylation motifs, such as those that present an abundance of proline, are represented.† Additionally, the phosphopeptide distribution in each mix has been chosen to present a broad range of characteristics, including ionizability, LC retention time, charge state, and isoelectric point. Finally, PhosphoMix-1, 2, and 3 were designed in a complementary fashion, as highlighted on the following page. For example, all three mixes contain peptides of the same sequence with different sites of phosphorylation.

Each of the three phosphopeptides mixes are available in their naturally occurring isotopic abundances (light) or as stable isotope enriched versions (heavy), making the set of products highly amenable to quantitative analyses, allowing users to compare recovery between workflows or techniques.

  • Naturally occurring peptide sequences
  • Broad range of peptide characteristics
  • Complementary product designs
  • Available in light and heavy versions

More info and FASTA file

法律資訊

This product is licensed under U.S. Patent No. 7,396,688 and foreign counterparts from E. I. du Pont de Nemours and Company. The purchase of this product conveys to the buyer the nontransferable right to use the purchased amount of the product for research and development only, including services for a third party for consideration. The buyer cannot sell or otherwise transfer this product, its components or materials made using this product or its components to a third party. Information about licenses for excluded uses is available from: E. I. du Pont de Nemours and Company; Attn: Associate Director, Commercial Development; DuPont Experimental Station E268; 200 Powdermill Rd.; Wilmington, DE 19803; 1-877-881-9787 (voice), 1-302-695-1437 (fax), licensing@dupont.com.

儲存類別代碼

11 - Combustible Solids

水污染物質分類(WGK)

WGK 3

閃點(°F)

Not applicable

閃點(°C)

Not applicable


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Manuel Bauer et al.
Data in brief, 5, 297-304 (2015-11-10)
The data described here provide a systematic performance evaluation of popular data-dependent (DDA) and independent (DIA) mass spectrometric (MS) workflows currently used in quantitative proteomics. We assessed the limits of identification, quantification and detection for each method by analyzing a
Manuel Bauer et al.
Journal of proteome research, 13(12), 5973-5988 (2014-10-22)
In recent years, directed and, particularly, targeted mass spectrometric workflows have gained momentum as alternative techniques to conventional data-dependent acquisition (DDA) LC-MS/MS approaches. By focusing on specific peptide species, these methods allow hypothesis-driven analysis of selected proteins of interest, and
Evgeny Kanshin et al.
Journal of proteome research, 12(6), 2905-2913 (2013-04-24)
Phosphorylation is a reversible protein modification that regulates major cellular processes such as cell division, growth, and differentiation through highly dynamic and complex signaling pathways. Large-scale phosphoproteomics analyses have been greatly facilitated using affinity chromatography such as metal oxide affinity
Daniel Schwartz et al.
Nature biotechnology, 23(11), 1391-1398 (2005-11-08)
With the recent exponential increase in protein phosphorylation sites identified by mass spectrometry, a unique opportunity has arisen to understand the motifs surrounding such sites. Here we present an algorithm designed to extract motifs from large data sets of naturally
Alexander R Ivanov et al.
Proteomics, 13(6), 904-909 (2013-01-16)
Proteomics is a rapidly transforming interdisciplinary field of research that embraces a diverse set of analytical approaches to tackle problems in fundamental and applied biology. This viewpoint article highlights the benefits of interlaboratory studies and standardization initiatives to enable investigators

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