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A Reproducible Multichannel Synchronous Rapid Phosphopeptide Enrichment Strategy Enabled by Anisotropic Porous
Qian Liu1,2,3, Dandan Zhou4, Kenan Wang1
1College of Chemistry and Material Science, Northwest University, Xi'an 710127, China.
Abstract:
Large-scale protein phosphorylation analysis has become a mainstream approach for investigating tumor biomarkers and drug targets. However, the cumbersome processing procedures associated with hundreds of clinical samples and intrinsic batch-to-batch variations render this work highly challenging. Herein, we designed an anisotropic porous monolith, CS-ZrPC@PLP, based on directional freeze-casting and constructed an enrichment array to establish a high-throughput analytical method for complex biosamples. The fabricated monolith forms highly parallel capillary channels along the ice crystal growth direction, enabling low mass transfer resistance and excellent mechanical stability to abundantly expose active sites and ensure pressure tolerance during high-throughput enrichment operations. Benefiting from these features, a multichannel synchronous rapid enrichment (MCSR) strategy was proposed without the frequent centrifugation steps required in traditional enrichment methods. Simultaneous phosphopeptide enrichment of eight sample sets, including tryptic digests of standard protein mixtures and complex biological samples such as cell lysates, was accomplished within 5 min using only aspiration-dispersion cycles in the MCSR strategy, whereas traditional methods typically require tens of minutes to hours for one sample. Enrichment results demonstrated that the MCSR strategy exhibited significant selectivity for phosphopeptides even in the presence of 1000-fold BSA interference (molar ratio of BSA/β-Casein, 1000/1). Notably, despite using microflow LC-MS/MS analysis rather than nano-LC-MS/MS, 41,626 phosphopeptides and 7,168 phosphoproteins were successfully identified from Hep G2 cell digests after 5 min of enrichment. Furthermore, the MCSR strategy demonstrates excellent compatibility with commercial robotic pipetting platforms, highlighting the great potential for rapid, high-throughput phosphopeptide enrichment in clinical proteomics research.
Insights
A novel anisotropic porous monolith enables rapid, high-throughput phosphopeptide enrichment from complex biosamples. This multichannel synchronous rapid enrichment (MCSR) strategy significantly reduces processing time and enhances proteomic analysis for tumor biomarker discovery.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biomaterials
Background:
- Large-scale protein phosphorylation analysis is crucial for identifying tumor biomarkers and drug targets.
- Current methods face challenges due to complex sample processing and batch variations.
- High-throughput analytical methods are needed for efficient analysis of clinical samples.
Purpose of the Study:
- To develop a high-throughput analytical method for complex biosamples using an anisotropic porous monolith.
- To establish a rapid phosphopeptide enrichment strategy overcoming limitations of traditional methods.
- To demonstrate the potential of the developed method in clinical proteomics research.
Main Methods:
- Fabrication of an anisotropic porous monolith (CS-ZrPC@PLP) using directional freeze-casting.
- Development of a multichannel synchronous rapid enrichment (MCSR) strategy utilizing the monolith.
- Application of MCSR for simultaneous phosphopeptide enrichment of multiple complex biological samples.
Main Results:
- The MCSR strategy achieved rapid enrichment (5 min) of phosphopeptides from eight sample sets, including cell lysates.
- Demonstrated high selectivity for phosphopeptides with minimal interference from abundant proteins like BSA.
- Identified 41,626 phosphopeptides and 7,168 phosphoproteins from Hep G2 cell digests using microflow LC-MS/MS after rapid enrichment.
Conclusions:
- The developed anisotropic porous monolith and MCSR strategy offer a significant advancement in high-throughput phosphopeptide enrichment.
- This method overcomes traditional bottlenecks, enabling faster and more efficient proteomic analysis.
- The strategy shows great potential for clinical proteomics, facilitating biomarker discovery and drug target identification.
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