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Proteoform identification using multiplexed top-down mass spectra.

Zhige Wang1, Xingzhao Xiong2, Xiaowen Liu2

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Top-down mass spectrometry (TDMS) analysis generates complex multiplexed spectra. A new tool, TopMPI, enhances proteoform identification and reduces errors in these challenging tandem mass spectrometry (MS/MS) datasets.

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Computational Biology

Background:

  • Top-down mass spectrometry (TDMS) is crucial for analyzing intact proteoforms, including post-translational modifications and sequence variations.
  • Tandem mass spectrometry (MS/MS) analysis in TDMS often results in co-fragmentation of multiple proteoforms, creating complex multiplexed spectra.
  • Identifying and quantifying proteoforms from these complex spectra presents a significant computational challenge.

Purpose of the Study:

  • To introduce TopMPI, a novel computational tool designed for the identification of multiplexed TD-MS/MS spectra.
  • To address the challenges associated with analyzing complex spectral data in proteoform identification.
  • To improve the accuracy and efficiency of proteoform analysis using TDMS.

Main Methods:

  • Development of the TopMPI computational tool.
  • Application of TopMPI to analyze multiplexed TD-MS/MS spectra.
  • Comparison of TopMPI performance against existing tools for proteoform identification.

Main Results:

  • TopMPI significantly increases the number of identified proteoforms from multiplexed TD-MS/MS spectra.
  • TopMPI demonstrably reduces identification errors in the analysis of complex spectral data.
  • Experimental validation confirms the superior performance of TopMPI compared to current methods.

Conclusions:

  • TopMPI provides a robust solution for the identification of multiplexed TD-MS/MS spectra.
  • The tool enhances the capabilities of top-down mass spectrometry for proteoform analysis.
  • TopMPI represents a significant advancement in computational tools for proteomics research.