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Published on: October 15, 2019
SuperHirn - a novel tool for high resolution LC-MS-based peptide/protein profiling
Lukas N Mueller1, Oliver Rinner, Alexander Schmidt
1Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. lukas.mueller@imsb.biol.ethz.ch
Proteomics
|August 30, 2007
Summary
SuperHirn is an open-source software for label-free quantification of high mass resolution liquid chromatography-mass spectrometry (LC-MS) data. This tool accurately extracts peptide signals and tracks features across samples for proteome analysis.
Area of Science:
- Proteomics
- Analytical Chemistry
- Computational Biology
Background:
- Label-free quantification using high mass resolution LC-MS is crucial for proteome analysis.
- Accurate peptide signal extraction and feature tracking across samples are computational challenges.
Purpose of the Study:
- To introduce SuperHirn, an open-source software tool for processing high resolution LC-MS data.
- To provide novel functionalities for feature extraction, quantification, similarity analysis, alignment, and normalization of LC-MS data.
Main Methods:
- Development of SuperHirn, a modular software tool for LC-MS data processing.
- Implementation of feature extraction, quantification, similarity analysis, dataset alignment, and intensity normalization.
- Application of an MS1-based profiling approach using SuperHirn on a benchmark dataset.
Main Results:
- SuperHirn successfully extracts feature profiles and enables clustering and classification analysis.
- The software automatically detects profiling trends in an unsupervised manner.
- SuperHirn accurately associates proteins with their theoretical dilution profiles in complex mixtures.
Conclusions:
- SuperHirn is an effective open-source tool for label-free quantification and analysis of high resolution LC-MS data.
- The software facilitates unsupervised detection of proteomic trends and protein quantification.
- SuperHirn aids in associating proteins with concentration changes in complex samples.
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