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Related Experiment Video

Updated: Feb 12, 2026

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level
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Proteome-Wide Evaluation of Two Common Protein Quantification Methods.

Jeremy D O'Connell1, Joao A Paulo1, Jonathon J O'Brien1

  • 1Department of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States.

Journal of Proteome Research
|April 12, 2018
PubMed
Summary
This summary is machine-generated.

Tandem mass tagging (TMT) and label-free quantitation (LFQ) methods showed similar accuracy for protein abundance changes. TMT offered higher precision and detected more significant changes, especially for low-abundance proteins.

Keywords:
TMTlabel-freeproteome quantitationsensitivityspecificity

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Area of Science:

  • Proteomics
  • Quantitative Biology
  • Biochemistry

Background:

  • Accurate quantification of protein abundance is crucial for understanding cellular functions.
  • Lower abundance proteins present a challenge for current proteomics methods, limiting experimental reach.
  • Comprehensive quantitative coverage is essential for deep proteome analysis.

Purpose of the Study:

  • To benchmark the quantitative performance of tandem mass tagging (TMT) and label-free quantitation (LFQ) methods.
  • To assess the capacity of these methods in measuring small fold changes in protein abundance.
  • To evaluate comprehensive quantitative coverage across entire proteomes.

Main Methods:

  • Comparison of TMT and LFQ methods using benchmark datasets.
  • Analysis of protein quantification accuracy and precision.
  • Evaluation of statistical significance detection for varying fold-changes (3-, 2-, and 1.5-fold).

Main Results:

  • Both TMT and LFQ methods provided comparably accurate estimates for all tested fold-changes.
  • The TMT method detected statistically significant changes three times more often than LFQ.
  • TMT demonstrated higher precision and fewer missing values, particularly beneficial for low-abundance proteins.

Conclusions:

  • TMT exhibits superior performance in detecting differential protein abundance, especially for low-abundance proteins, compared to LFQ.
  • Improving proteome quantitation methods is vital to increase the number of reliably quantified proteins.
  • Enhanced quantitative coverage expands the scope and precision of proteomics experiments.