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Related Experiment Video

Updated: Jun 18, 2026

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ICPLQuant - A software for non-isobaric isotopic labeling proteomics.

Achim Brunner1, Eva-Maria Keidel, Dominik Dosch

  • 1Max-Planck-Institute of Biochemistry, Martinsried, Germany. brunner@biochem.mpg.de

Proteomics
|December 3, 2009
PubMed
Summary
This summary is machine-generated.

A new software, ICPLQuant, enhances proteomics by accurately quantifying isotope-coded protein label (ICPL)-labeled peptides. This tool streamlines data analysis, identifying regulated proteins faster for complex biological samples.

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Area of Science:

  • Proteomics
  • Biochemistry
  • Computational Biology

Background:

  • Quantitative proteomics relies on accurate protein identification and quantification in complex biological samples.
  • Analyzing mass spectral data from proteomics experiments is a significant bottleneck due to data volume.
  • Existing software may not efficiently handle the quantification of isotope-coded protein label (ICPL)-labeled peptides.

Purpose of the Study:

  • To develop and validate ICPLQuant, a novel software suite for accurate quantification of ICPL-labeled peptides.
  • To improve the efficiency of identifying differentially regulated proteins in complex proteomic samples.
  • To minimize time and effort in MS/MS data acquisition and interpretation.

Main Methods:

  • Development of ICPLQuant software with two independent units for multiplex detection, quantification, and MS/MS data integration.
  • Utilizing LC-MALDI and peptide mass fingerprinting experiments for data acquisition.
  • Comparative analysis of protein mixtures spiked into a complex background to demonstrate accuracy.

Main Results:

  • ICPLQuant accurately quantifies ICPL-labeled peptides at the MS level.
  • The software effectively proposes differentially regulated peptide precursors for MS/MS analysis.
  • Automated generation of a comprehensive protein list of regulated proteins was achieved.

Conclusions:

  • ICPLQuant significantly improves the efficiency and accuracy of quantitative proteomics.
  • The software facilitates faster identification of regulated proteins, addressing a key bottleneck in the field.
  • ICPLQuant is a valuable tool for researchers working with ICPL-based quantitative proteomics data.