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Related Experiment Video

Updated: May 17, 2026

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures
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LFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.

Wei Zhang1, Jiyang Zhang, Changming Xu

  • 1Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, PR China.

Proteomics
|October 20, 2012
PubMed
Summary

LFQuant is a new tool for label-free quantitative proteomics analysis. It offers faster processing and improved precision and accuracy compared to existing methods for high-resolution LC-MS/MS data.

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Quantitative Analysis of Chromatin Proteomes in Disease
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Related Experiment Videos

Last Updated: May 17, 2026

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures
11:44

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures

Published on: September 28, 2013

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Quantitative Analysis of Chromatin Proteomes in Disease
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Quantitative Analysis of Chromatin Proteomes in Disease

Published on: December 28, 2012

Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Bioinformatics

Background:

  • Label-free quantitative proteomics relies on reconstructing peptide ion chromatograms.
  • Database searching methods accelerate data processing by limiting search space.
  • MS/MS sampling variability can be addressed through cross-assignment.

Purpose of the Study:

  • To introduce LFQuant, a novel tool for rapid, label-free quantitative analysis of high-resolution LC-MS/MS proteomics data.
  • To develop a user-friendly software compatible with common data formats and search engines.

Main Methods:

  • LFQuant utilizes database search results to reconstruct peptide extracted ion chromatograms.
  • It accepts raw data in mzXML and Thermo RAW formats and search results from MASCOT, SEQUEST, and X!Tandem.
  • The tool is designed to handle large-scale, fractionated data (e.g., SDS-PAGE, 2D LC).

Main Results:

  • LFQuant demonstrated superior precision and accuracy compared to MaxQuant and IDEAL-Q.
  • The software significantly reduced data processing time for label-free quantitative analysis.
  • Performance was validated on replication and UPS1 standard datasets.

Conclusions:

  • LFQuant provides a faster, more accurate, and precise method for label-free quantitative proteomics.
  • The tool is suitable for large-scale proteomics studies utilizing fractionation techniques.
  • LFQuant is freely available, promoting its adoption in the research community.