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Mass Defect-Based DiLeu Tagging for Multiplexed Data-Independent Acquisition.

Xiaofang Zhong1, Dustin C Frost1, Qinying Yu1

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|July 11, 2020
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This study introduces mass defect-based N,N-dimethyl leucine (mdDiLeu) tags for multiplexed quantification in data-independent acquisition (DIA) proteomics. This method enables accurate analysis of low-abundance proteins and disease biomarkers.

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Data-independent acquisition (DIA) offers unbiased peptide precursor selection for discovery proteomics.
  • Traditional multiplexed quantification methods are incompatible with DIA.
  • Novel strategies are needed for multiplexed quantification in DIA.

Purpose of the Study:

  • To develop a method for multiplexed quantification compatible with DIA using mass defect-based tags.
  • To enable accurate and precise quantification of low-abundance proteins and potential biomarkers.

Main Methods:

  • Utilized mass defect-based N,N-dimethyl leucine (mdDiLeu) tags for isotopic labeling.
  • Employed high-resolution tandem mass spectrometry (MS2) analysis for quantification.
  • Applied the method to analyze yeast samples and cerebrospinal fluid from Alzheimer's disease patients.

Main Results:

  • Achieved up to 4-plex quantification in DIA MS2 spectra using mdDiLeu tags.
  • Demonstrated comparable accuracy and precision to MS1-based DDA methods.
  • Revealed proteome changes in Alzheimer's disease, identifying potential clinical biomarkers.

Conclusions:

  • mdDiLeu tagging is a viable methodology for multiplexed DIA.
  • The approach facilitates the investigation of proteome changes, especially for low-abundance proteins.
  • This method aids in the discovery of potential clinical biomarkers in various biological matrices.