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METHOD FOR HEART-CUT ANALYSIS USING NANOACQUITY UPLC WITH 2D TECHNOLOGY FOR PROTEOMIC SAMPLES

Applications | 2009 | WatersInstrumentation
LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, 2D-LC
Industries
Proteomics
Manufacturer
Waters

Summary

Significance of the Topic


The quantitative and qualitative analysis of low‐abundance peptides in complex proteomic samples is critical for biomarker validation and targeted proteomics. Traditional two‐dimensional separations using strong cation exchange followed by reversed‐phase chromatography can be time‐consuming and suffer from peptide loss across fractions. An online high‐pH/low‐pH RP/RP approach with heart‐cut capability offers enhanced reproducibility, selectivity, and throughput for targeted peptide analysis.

Objectives and Study Overview


This work aims to develop and demonstrate an online heart‐cut method using nanoACQUITY UPLC 2D technology for targeted peptide analysis. Primary goals include:
  • Implementing a high‐pH reversed‐phase first dimension and low‐pH reversed‐phase second dimension.
  • Incorporating online dilution to maximize peptide trapping and recovery.
  • Evaluating qualitative and quantitative reproducibility compared to full five‐fraction 2D runs.
  • Minimizing instrument time for targeted analyses.

Methodology and Instrumentation


Samples consisted of an E coli tryptic digest spiked with defined protein standards. A two‐dimensional LC workflow was configured as follows:
  • First Dimension (high pH RP)
    • Column XBridge C18, 300 µm x 5 cm, 5 µm
    • Flow 2 µL/min, discontinuous step gradient with 20 mM ammonium formate pH 10.0 (A) and acetonitrile (B)
    • Online dilution at 20 µL/min aqueous flow to ensure trap loading
  • Second Dimension (low pH RP)
    • Trap Symmetry C18, 180 µm x 2 cm, 5 µm
    • Analytical BEH C18, 75 µm x 15 cm, 1.7 µm
    • Gradient 5 to 40% B over 90 min at 300 nL/min (A: 0.1% formic acid in water, B: 0.1% formic acid in acetonitrile)
  • Heart‐Cut Mode: Single fraction eluted from the first dimension at a specified acetonitrile step and transferred online to the second dimension
  • Mass Spectrometry: SYNAPT HDMS in LC-MSE acquisition mode, data processed with ProteinLynx Global Server

Main Results and Discussion


2D five‐fraction analyses identified over 600 proteins with 86–87% of peptides unique to a single fraction. Heart‐cut targeting of fraction 4 recovered >80% of those peptides and replicated 87% of protein IDs across triplicates. Label‐free quantitation of spiked standards (BSA, Phos B, ADH, enolase) yielded measured ratios within 6–8% of theoretical values in both full 2D and heart‐cut modes. Full 2D runs required 60 hours instrument time for triplicate five‐fraction analyses; the heart‐cut workflow reduced this to 15 hours.

Benefits and Practical Applications


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  • Significant reduction in analysis time for targeted peptide studies
  • High qualitative reproducibility and peptide selectivity
  • Accurate label‐free quantitation with single‐fraction heart‐cut
  • Suitable for biomarker verification and routine QA/QC in proteomics
  • Future Trends and Opportunities


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  • Integration of more selective trapping and multidimensional heart-cut schemes for deeper coverage
  • Automation of method development and dynamic heart-cut selection via real-time data feedback
  • Application to clinical biomarker validation requiring high throughput and reproducibility
  • Expansion to hybrid separation modes combining ion exchange and RP for enhanced orthogonality
  • Conclusion


    The online heart-cut RP/RP UPLC method achieves equivalent qualitative and quantitative performance to full two-dimensional runs while dramatically reducing analysis time. This approach is well suited for targeted proteomics, biomarker validation, and high-throughput QC applications.

    Used Instrumentation


    ul>
  • nanoACQUITY UPLC 2D System
  • SYNAPT HDMS mass spectrometer
  • XBridge C18, Symmetry C18 trap, BEH C18 analytical columns
  • References


    ol>
  • M. Gilar et al, Journal of Separation Science 2005, 28, 1694–1703
  • J. Silva et al, Molecular & Cellular Proteomics 2006, 144–156
  • Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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