ProSave: an application for restoring quantitative data to manipulated subsets of protein lists

Area of Science:

• Proteomics
• Bioinformatics
• Computational Biology

Background:

• Liquid chromatography tandem mass spectrometry (LC-MS/MS) is a key technology in proteomics.
• Quantitative data from LC-MS/MS, such as spectral counts, is often lost in downstream analyses like network analysis.
• This loss of quantitative information hinders comprehensive comparative proteomic studies.

Purpose of the Study:

• To develop a tool for retrieving and managing spectral count data from large proteomics datasets.
• To prevent the loss of critical quantitative information during comparative proteomic analyses.
• To provide a user-friendly solution for researchers working with LC-MS/MS data.

Main Methods:

• Development of ProSave, a Java-based software program.
• Implementation of features for managing LC-MS/MS datasets.
• Enabling rapid retrieval of spectral count data for curated protein lists.

Main Results:

• ProSave successfully retrieves spectral count data from proteomics datasets.
• The software facilitates the management of LC-MS/MS data.
• ProSave enables rapid access to quantitative protein information.

Conclusions:

• ProSave is an open-source, free, and user-friendly tool for proteomics researchers.
• The software is available on GitHub with comprehensive documentation.
• ProSave aids in preserving and utilizing quantitative data in comparative proteomic analyses.