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Multiplexed Cross-Linking with Isobaric Quantitative Protein Interaction Reporter Technology.

Juan D Chavez1, Andrew Keller1, Helisa H Wippel1

  • 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.

Analytical Chemistry
|December 9, 2021
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Summary

New multiplexed isobaric quantitative protein interaction reporter (iqPIR) cross-linkers enable simultaneous quantification of up to six samples in chemical cross-linking with mass spectrometry (XL-MS) studies.

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Area of Science:

  • Biochemistry and Molecular Biology
  • Analytical Chemistry
  • Proteomics

Background:

  • Chemical cross-linking with mass spectrometry (XL-MS) is vital for studying protein structures and interactions.
  • Quantitative XL-MS, using stable isotopes, reveals protein conformational and interaction dynamics.
  • Existing methods often rely on deuterium labeling and MS1-based quantitation, limiting multiplexing.

Purpose of the Study:

  • To develop and evaluate multiplexed isobaric quantitative protein interaction reporter (iqPIR) cross-linkers.
  • To enable simultaneous quantification of up to six cross-linked samples.
  • To adapt iqPIR quantitative analysis for multi-channel data with improved accuracy and reproducibility.

Main Methods:

  • Synthesis and evaluation of multiplexed iqPIR molecules utilizing 13C and 15N isotope labels.
  • Adaptation of two-channel iqPIR analysis to accommodate multiple channels with defined ion isotope peak mass offsets.
  • Development of a data analysis method to apportion summed ion peak intensities in overlapping isotope envelopes.

Main Results:

  • Successful synthesis and initial evaluation of multiplexed iqPIR reagents.
  • Accurate and reproducible relative quantitation of up to six differentially labeled cross-linked samples.
  • Demonstration of a robust data analysis pipeline for multi-channel iqPIR data.

Conclusions:

  • The developed multiplexed iqPIR strategy significantly enhances the scalability of quantitative XL-MS.
  • This approach allows for direct comparison across multiple samples, facilitating large-scale interactome studies.
  • The methodology is extensible for future iqPIR reagent designs and in vivo applications.