Related Experiment Video
Updated: Aug 24, 2025

12:23
Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
Published on: August 2, 2018
12.2K
A multi-purpose, regenerable, proteome-scale, human phosphoserine resource for phosphoproteomics
Brandon M Gassaway1, Jiaming Li1, Ramin Rad1
1Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
Nature Methods
|October 25, 2022
Summary
Researchers developed Iterative Synthetically Phosphorylated Isomers (iSPI), a versatile phosphopeptide library. This resource enhances phosphoproteomics by providing accurate standards for analyzing cellular signaling and improving data analysis pipelines.
Area of Science:
- Proteomics
- Cellular Signaling
- Biochemistry
Background:
- Phosphoproteomics is crucial for understanding cellular signaling.
- The field requires cost-effective, reproducible, and diverse phosphopeptides with known phosphorylation sites.
Purpose of the Study:
- To develop a proteome-scale library of human phosphoserine phosphopeptides with precisely defined phosphorylation sites.
- To provide a resource for validating phosphopeptide standards and optimizing phosphorylation site localization algorithms.
Main Methods:
- Creation of Iterative Synthetically Phosphorylated Isomers (iSPI) library.
- Development of AScorePro, an enhanced AScore algorithm for higher energy fragmentation spectra.
- Introduction of the FLR viewer, a web tool for phosphorylation site localization.
Main Results:
- iSPI offers an inexpensive, regenerable, and diverse collection of phosphopeptides.
- The library serves as a standard for phosphopeptide analysis and a benchmark for data analysis pipelines.
- AScorePro and FLR viewer facilitate improved phosphorylation site localization.
Conclusions:
- iSPI is a valuable, multi-purpose resource for the phosphoproteomics community.
- The developed tools enhance the accuracy and efficiency of phosphoproteomic data analysis.
- This work advances the study of cellular signaling through improved phosphopeptide characterization.

