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Characterization of Structural Hemoglobin Variants by Top-Down Mass Spectrometry and R Programming Tools for Rapid

Yuan Lin1, Archana M Agarwal2,3, Alan G Marshall1,4

  • 1Department of Chemistry and Biochemistry, Florida State University, Tallahassee, Florida 32308, United States.

Journal of the American Society for Mass Spectrometry
|December 27, 2021
PubMed
Summary
This summary is machine-generated.

Mass spectrometry combined with chimeric ion loading and R scripts offers a definitive method for identifying hemoglobin variants. This approach enhances the accuracy and speed of diagnosing genetic blood disorders like hemoglobinopathies.

Keywords:
FT-ICRFTMSFourier-transform ion cyclotron resonancechimeric ion loadingclinical mass spectrometrytop-down proteomics

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Area of Science:

  • Proteomics and Mass Spectrometry
  • Genetics and Molecular Biology
  • Clinical Diagnostics

Background:

  • Hemoglobinopathies are common genetic disorders caused by mutations in hemoglobin genes.
  • Traditional chromatographic methods struggle with the increasing number of known hemoglobin variants.
  • Top-down mass spectrometry provides definitive characterization of intact hemoglobin subunits.

Purpose of the Study:

  • To develop and apply advanced mass spectrometry techniques for accurate hemoglobin variant identification.
  • To improve the efficiency and reliability of diagnosing hemoglobinopathies.
  • To characterize hemoglobin beta subunit variants and fusion proteins.

Main Methods:

  • Application of "chimeric ion loading" with a 21 T Fourier-transform ion cyclotron resonance mass spectrometer.
  • Development of two R programming scripts: "Variants Identifier" and "PredictDiag".
  • Utilizing accurate intact mass differences and diagnostic ions for variant searching and prediction.

Main Results:

  • Successful identification of a hemoglobin delta-beta fusion protein and other hemoglobin variants.
  • Demonstrated rapid and reliable interpretation of top-down mass spectrometry data.
  • Validated the effectiveness of chimeric ion loading and R scripts for hemoglobin variant analysis.

Conclusions:

  • The combination of chimeric ion loading and custom R scripts significantly enhances hemoglobin variant identification.
  • This integrated approach provides a robust solution for clinical laboratories dealing with complex hemoglobinopathies.
  • Enables definitive characterization of intact hemoglobin subunits, improving diagnostic accuracy.