StPeter: Seamless Label-Free Quantification with the Trans-Proteomic Pipeline.

Area of Science:

• Proteomics
• Bioinformatics
• Computational Biology

Background:

• Label-free quantification (LFQ) is increasingly vital for determining relative protein abundance in proteomics.
• A lack of accessible and integrated tools has hindered widespread adoption of LFQ.
• Existing methods often lack ease of use and reproducibility.

Purpose of the Study:

• To introduce StPeter, an implementation of Normalized Spectral Index quantification.
• To integrate StPeter into the widely used Trans-Proteomic Pipeline (TPP).
• To provide an accessible, reproducible, and user-friendly LFQ tool for proteomics researchers.

Main Methods:

• StPeter implements the Normalized Spectral Index (NSI) quantification method.
• Integration into the Trans-Proteomic Pipeline (TPP) ensures broad availability.
• The software was evaluated using a benchmark dataset for shotgun proteomics.

Main Results:

• StPeter demonstrated superior performance compared to other state-of-the-art LFQ packages.
• The tool is computationally efficient and supports diverse instrument platforms and experimental designs.
• Results are viewable in TPP GUIs and exportable for downstream analysis.

Conclusions:

• StPeter provides high-quality, reproducible label-free quantification.
• Integration into the TPP simplifies and accelerates LFQ analysis.
• This tool enhances accessibility for proteomics researchers performing relative abundance measurements.