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MetaUniDec: High-Throughput Deconvolution of Native Mass Spectra
Deseree J Reid1, Jessica M Diesing1, Matthew A Miller1
1Department of Chemistry and Biochemistry, University of Arizona, 1306 E University Blvd, Tucson, AZ, 85721, USA.
Journal of the American Society for Mass Spectrometry
|April 19, 2018
Summary
MetaUniDec enhances native mass spectrometry (MS) analysis by enabling high-throughput deconvolution of large protein complex datasets. This new module offers improved speed, portability, and visualization for complex MS data analysis.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Computational Biology
Background:
- Native mass spectrometry (MS) is increasingly used in academia and industry, creating a need for efficient analysis of large datasets.
- Current software struggles with high-throughput deconvolution of native electrospray mass spectra from intact proteins and complexes.
- The UniDec algorithm offers speed and robustness but was limited to individual spectra analysis.
Purpose of the Study:
- To optimize the UniDec algorithm for high-throughput deconvolution, analysis, and visualization of large native MS datasets.
- To develop a new module, MetaUniDec, centered around a hierarchical data format 5 (HDF5) for improved data handling.
- To enhance the speed, portability, and analytical capabilities for complex protein and lipoprotein analyses.
Main Methods:
- Developed MetaUniDec, a module integrating UniDec with an HDF5 data format for large dataset management.
- Implemented code optimizations and a new graphical user interface for enhanced visualization and interaction.
- Applied MetaUniDec to analyze automated collision voltage ramps on bacterial heme-nitric oxide/oxygen binding (H-NOX) protein and lipoprotein nanodiscs.
Main Results:
- MetaUniDec demonstrated significant improvements in speed, portability, and file size for large native MS datasets.
- Analysis revealed discrete heme loss from H-NOX protein and continuous lipid/charge loss from nanodiscs upon collisional activation.
- The software enabled exploration of energetic profiles of collisional activation in ultra-high mass range Orbitrap mass spectrometry.
Conclusions:
- MetaUniDec provides a robust and efficient solution for high-throughput analysis of large native MS datasets.
- The HDF5-centered approach and optimized algorithms significantly advance the capabilities for studying protein complexes.
- MetaUniDec facilitates detailed energetic profiling of biomolecular dissociation pathways in advanced mass spectrometry.
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