optTMT: optimizing any experimental design to minimize false positives caused by TMT reporter ion interference

Area of Science:

• Proteomics
• Mass Spectrometry
• Bioinformatics

Background:

• Tandem mass tag (TMT) isobaric tags are crucial for multiplexing in large-scale proteomics.
• Reporter ion interference (cross-label isotopic impurity) in TMT experiments can arise from manufacturing or experimental errors.
• This interference increases the risk of false positives in differential analysis, potentially leading to incorrect conclusions, especially with high-intensity peptides.

Purpose of the Study:

• To address the issue of TMT reporter ion interference in proteomics experiments.
• To provide a tool for optimizing TMT experimental design to minimize interference.
• To enhance the reliability and accuracy of large-scale proteomics data.

Main Methods:

• Development of a user-friendly interface for experimental design optimization.
• Solving an optimization problem to determine optimal TMT experimental designs.
• Implementation as a Shiny application and R package.

Main Results:

• A practical solution for minimizing TMT interference is presented.
• The tool enables researchers to find optimal TMT experimental designs.
• Improved accuracy in differential proteomics analysis is facilitated.

Conclusions:

• Optimizing TMT experimental design is critical for accurate proteomics.
• The developed interface offers a valuable resource for the proteomics community.
• This work contributes to more reliable large-scale proteomics studies.