Scripps VIVO scripps research logo

  • Index
  • Log in
  • Home
  • People
  • Organizations
  • Research
  • Events
Search form

Quantitative analysis of isotope distributions in proteomic mass spectrometry using least-squares Fourier transform convolution

Academic Article
uri icon
  • Overview
  • Identity
  • Additional Document Info
  • View All
scroll to property group menus

Overview

related to degree

  • Bunner, Anne Elizabeth, Ph.D. in Biology, Scripps Research 2002 - 2009

authors

  • Sperling, E.
  • Bunner, Anne Elizabeth
  • Sykes, M. T.
  • Williamson, James

publication date

  • July 2008

journal

  • Analytical Chemistry  Journal

abstract

  • Quantitative proteomic mass spectrometry involves comparison of the amplitudes of peaks resulting from different isotope labeling patterns, including fractional atomic labeling and fractional residue labeling. We have developed a general and flexible analytical treatment of the complex isotope distributions that arise in these experiments, using Fourier transform convolution to calculate labeled isotope distributions and least-squares for quantitative comparison with experimental peaks. The degree of fractional atomic and fractional residue labeling can be determined from experimental peaks at the same time as the integrated intensity of all of the isotopomers in the isotope distribution. The approach is illustrated using data with fractional (15)N-labeling and fractional (13)C-isoleucine labeling. The least-squares Fourier transform convolution approach can be applied to many types of quantitative proteomic data, including data from stable isotope labeling by amino acids in cell culture and pulse labeling experiments.

subject areas

  • Amino Acids
  • Fourier Analysis
  • Isotope Labeling
  • Isotopes
  • Least-Squares Analysis
  • Nitrogen Isotopes
  • Nonlinear Dynamics
  • Proteins
  • Proteomics
  • Radioisotopes
  • Ribosomal Proteins
  • Spectrometry, Mass, Electrospray Ionization
scroll to property group menus

Identity

PubMed Central ID

  • PMC2502059

International Standard Serial Number (ISSN)

  • 0003-2700

Digital Object Identifier (DOI)

  • 10.1021/ac800080v

PubMed ID

  • 18522437
scroll to property group menus

Additional Document Info

start page

  • 4906

end page

  • 4917

volume

  • 80

issue

  • 13

©2021 The Scripps Research Institute | Terms of Use | Powered by VIVO

  • About
  • Contact Us
  • Support