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Updated: Jan 24, 2026

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QuAPPro: an R shiny app for quantification and alignment of polysome profiles.

Chiara Schiller1,2,3,4, Matthias Lemmer1,2, Sonja Reitter1,2

  • 1Mannheim Institute for Innate Immunoscience (MI3) and Mannheim Cancer Center (MCC), Medical Faculty Mannheim, Heidelberg University, Franz-Volhard-Str. 6, 68167, Mannheim, Germany.

BMC Bioinformatics
|January 22, 2026
PubMed
Summary
This summary is machine-generated.

QuAPPro is a new web app for analyzing polysome profiles, simplifying the quantification and alignment of translation data. This tool enhances reproducibility and speeds up analysis without requiring programming skills.

Keywords:
Polysome profilingPolysomesProtein biosynthesisR shinyTranslation

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Bioinformatics

Background:

  • Polysome profiling is a key technique for studying mRNA translation and ribosome dynamics.
  • Traditional analysis relies on manual methods or specialized software, often lacking standardization.
  • Measuring fluorescently tagged proteins associated with ribosomes is also part of polysome profiling.

Purpose of the Study:

  • To develop an accessible and interactive web application for the analysis of polysome profiles.
  • To provide a standardized method for aligning and quantifying polysome profiles regardless of data origin.
  • To facilitate the analysis of both UV absorbance and fluorescence data from polysome profiling experiments.

Main Methods:

  • Development of QuAPPro, a web application using R and R Shiny.
  • Implementation of interactive features for profile smoothing, baseline selection, and alignment.
  • Inclusion of quantification tools for profile subsections and peak deconvolution.
  • Parallel processing for alignment and quantification of fluorescence profiles.

Main Results:

  • QuAPPro enables device- and software-independent quantification and alignment of polysome profiles.
  • The application offers interactive visualization, smoothing, baseline selection, and alignment.
  • Results can be summarized and exported in publication-ready formats, including bar plots.

Conclusions:

  • QuAPPro offers a user-friendly solution for accelerating polysome profile analysis.
  • The tool enhances the reproducibility and documentation of translation studies.
  • No programming expertise or commercial software is required to use QuAPPro.