Literature DB >> 26791983

Method for the Determination of ¹⁵N Incorporation Percentage in Labeled Peptides and Proteins.

Eric L Kilpatrick1.   

Abstract

Use of labeled (15)N proteins and peptides as internal standards in isotope-dilution mass spectrometry for the quantification of proteins has been increasing and is now accepted as a gold standard for this analysis. As a necessary reagent in this process, stable heavy isotope-labeled internal standards must be rigorously characterized in a number of ways including identity, concentration, purity, and structure. Additionally, the degree of the incorporation of the heavy isotope is a critical feature to consider. For proteins that are (15)N labeled, the percentage of incorporation is a valid measurement used to assess the fitness-to-purpose of the material. This measurement should be objective, repeatable, and based on empirical analysis. One means of assigning this value is to compare a mass spectrum of the isotopic profile of a peptide against a series of theoretical profiles containing different enrichment rates. This comparison can be made using the Pearson product-moment correlation coefficient (r) to find the best match between the empirical and theoretical profiles. Theoretical profiles can be generated using probability multinomial analysis but are computationally intensive and require the use of computers for practical use. The method described in this chapter describes the development and use of a computer program to calculate the percentage of (15)N enrichment of a labeled internal standard. Additionally, methods will be described for the empirical determination of an isotopic profile using a variety of mass spectrometry techniques.
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Internal standard; Isotope dilution mass spectrometry; Isotopic enrichment; Labeled nitrogen; Multinomial analysis; Pearson product-moment correlation coefficient; Software; Stable heavy isotope; Visual Basic

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Year:  2015        PMID: 26791983     DOI: 10.1016/bs.mie.2015.09.027

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  1 in total

1.  Improving "color rendering" of LED lighting for the growth of lettuce.

Authors:  Tao Han; Vitaliy Vaganov; Shixiu Cao; Qiang Li; Lili Ling; Xiaoyao Cheng; Lingling Peng; Congzhi Zhang; Alexey N Yakovlev; Yang Zhong; Mingjing Tu
Journal:  Sci Rep       Date:  2017-04-03       Impact factor: 4.379

  1 in total

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