ArticleBioinformatics advances2026
optTMT: optimizing any experimental design to minimize false positives caused by TMT reporter ion interference.
Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Summary: To enable multiplexing in large-scale proteomics experiment, TMT-plex isobaric tag has been the gold standard. However, tandem mass tag (TMT) reporter ion interference, also named cross-label isotopic impurity, can occur from manufacture level impurities and experimental error. Such interference increases the risk of false positive after differential analysis, even more so on high intensity peptide further leading to wrong conclusions. However, by planning the right experimental design beforehand these interferences can be minimized by solving an optimization problem. In this work, I present a Availability and implementation: The Shiny application is available as an executable file at https://zenodo.org/records/14883262 for Windows users and at https://marc-antoinegerault.shinyapps.io/TMT_optimization/. Code and documentation are freely available on github at https://github.com/mgerault/optTMT. The package is written in R and a vignette shows its use in an R command line workflow.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.