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Updated: May 12, 2026

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Opt-TMT: An optimized and scaled-down TMT labeling strategy for limited sample.

Michele Martins1, Fábio César Sousa Nogueira1, Magno Junqueira1

  • 1Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.

Journal of Proteomics
|November 29, 2025
PubMed
Summary
This summary is machine-generated.

We optimized Tandem Mass Tag (TMT) labeling to significantly reduce reagent costs and sample needs for mass spectrometry proteomics. This cost-effective method maintains high labeling efficiency, making advanced proteomic analysis accessible for limited sample studies.

Keywords:
Isobaric labelingLabeling efficiencyQuantitative proteomicsTMT

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biotechnology

Background:

  • Mass spectrometry-based proteomics enables sensitive analysis but relies on costly isobaric labeling reagents like Tandem Mass Tag (TMT).
  • Current TMT protocols are designed for large sample quantities, limiting their application in studies with scarce biological material and increasing research expenses.

Purpose of the Study:

  • To develop an optimized isobaric labeling protocol (Opt-TMT) that significantly reduces reagent consumption and sample input requirements.
  • To maintain high labeling efficiency (>99%) while decreasing costs by up to 90% compared to commercial TMT protocols.

Main Methods:

  • Optimized reaction conditions, including reduced reaction volumes and increased peptide concentration, were employed to enhance labeling efficiency with low peptide quantities (6-15 μg/channel).
  • The optimized protocol (Opt-TMT) was validated for labeling efficiency and cost-effectiveness.

Main Results:

  • Achieved consistent labeling efficiency above 99% even with minimal peptide amounts (6-15 μg/channel).
  • Reduced reagent costs by up to 90% compared to standard commercial TMT protocols.
  • Demonstrated the protocol's suitability for limited sample quantities and its cost-effectiveness.

Conclusions:

  • The Opt-TMT protocol offers a cost-effective and scalable solution for isobaric labeling in mass spectrometry-based proteomics.
  • This method enables high-quality quantitative proteomics for studies with limited biological material, such as patient samples or PTM analyses.
  • Opt-TMT broadens access to TMT workflows for resource-limited laboratories without compromising analytical quality.