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Interpreting top-down mass spectra using spectral alignment.

Ari M Frank1, James J Pesavento, Craig A Mizzen

  • 1Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California 92093-0404, USA. arf@cs.ucsd.edu

Analytical Chemistry
|February 28, 2008
PubMed
Summary
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Spectral alignment effectively identifies protein forms and modifications in top-down mass spectrometry data. This computational approach enhances the analysis of complex protein mixtures, even discovering positional isomers.

Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Computational Biology

Background:

  • High-resolution mass spectrometry (e.g., FTICR, OrbiTrap) enables "top-down" protein analysis.
  • Computational tools for top-down mass spectrometry data analysis are limited.

Purpose of the Study:

  • To investigate spectral alignment for identifying protein forms in top-down mass spectra.
  • To address the challenge of analyzing complex protein modifications, mutations, insertions, and deletions.

Main Methods:

  • Application of spectral alignment algorithms to top-down mass spectrometry data.
  • Extension of the algorithm to analyze mixtures of isobaric protein forms.

Main Results:

  • Spectral alignment efficiently identifies protein forms amidst numerous modifications.

Related Experiment Videos

  • The method successfully discovers positional isomers from mixed spectra.

    • Conclusions:

    • Spectral alignment is a powerful computational tool for top-down proteomics.
    • This approach significantly advances the analysis of protein heterogeneity and modifications.