Related Experiment Video
Updated: Apr 19, 2026

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
Published on: August 2, 2018
Perovskite for the highly selective enrichment of phosphopeptides
Xiao-Shui Li1, Xi Chen2, Huan Sun3
1Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China.
Abstract:
Selective and effective enrichment of phosphopeptides from complex samples is essential in phosphoproteome study by mass spectrometry (MS). In this work, we compared perovskites (MgTiO3, CaTiO3, SrTiO3, BaTiO3 and CaZrO3) with metal oxides (ZrO2 and TiO2) in their capability for the selective enrichment of phosphopeptides. It was found here that perovskites exhibited higher selectivity towards phosphopeptides than commonly used ZrO2 and TiO2, even though they all have high affinity to phosphopeptides. As for perovskites, CaTiO3 exhibited better selectivity for enrichment of phosphopeptides than SrTiO3, MgTiO3, BaTiO3 and CaZrO3, which might be ascribed to their crystal structures and electrophilic abilities. Moreover, to further confirm the performance of CaTiO3, CaTiO3 and TiO2 were applied to the enrichment of phosphopeptides from tryptic digest of proteins of human Jurkat-T cell lysate, respectively. The results showed CaTiO3 has much higher selectivity than TiO2 in the enrichment of phosphopeptides from the complex biological sample. Taken together, here we show that CaTiO3 is an excellent material for the highly selective enrichment of phosphopeptides and it could be potentially used in the large-scale phosphoproteome study.
More Related Videos
10:27Preparation of Highly Porous Coordination Polymer Coatings on Macroporous Polymer Monoliths for Enhanced Enrichment of Phosphopeptides
Published on: July 14, 2015
09:28Author Spotlight: Advancing EVtrap for High-Throughput Proteomics in Disease Biomarker Discovery
Published on: October 27, 2023