Proteomics INTegrator (PINT): An Online Tool To Store, Query, and Visualize Large Proteomics Experiment Results

J Proteome Res. 2019 Aug 2;18(8):2999-3008. doi: 10.1021/acs.jproteome.8b00711. Epub 2019 Jul 1.


The characterization of complex biological systems based on high-throughput protein quantification through mass spectrometry commonly involves differential expression analysis between replicate samples originating from different experimental conditions. Here we present Proteomics INTegrator (PINT), a new user-friendly Web-based platform-independent system to store, visualize, and query proteomics experiment results. PINT provides an extremely flexible query interface that allows advanced Boolean algebra-based data filtering of many different proteomics features such as confidence values, abundance levels or ratios, data set overlaps, sample characteristics, as well as UniProtKB annotations, which are transparently incorporated into the system. In addition, PINT allows developers to incorporate data visualization and analysis tools, such as PSEA-Quant and Reactome pathway analysis, for data set enrichment analysis. PINT serves as a centralized hub for large-scale proteomics data and as a platform for data analysis, facilitating the interpretation of proteomics results and expediting biologically relevant conclusions.

Keywords: Java GWT; data filtering; data query; data visualization; enrichment analysis; mass spectrometry; proteomics.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Databases, Protein / statistics & numerical data*
  • Humans
  • Internet
  • Mass Spectrometry / statistics & numerical data
  • Proteins / genetics*
  • Proteomics / methods
  • Proteomics / statistics & numerical data*
  • Software*
  • User-Computer Interface


  • Proteins