Swedish National Infrastructure for Biological Mass Spectrometry

Address Klinikgatan 32,
Lund, Sweden
Platforms Biomarkers

BioMS is a nationally distributed infrastructure in biological mass spectrometry and proteomics that enables access and development of cutting-edge mass spectrometry platforms to the Swedish research community. The infrastructure is comprised of four nodes located at Lund University (host university), the University of Gothenburg, the Chalmers University of Technology and the Karolinska Institutet. Each node offers specialized analytical techniques and experimental knowledge to meet the demands of Swedish life science community. Since 2015, the Swedish Research Council (Vetenskapsrådet) and the host universities funds BioMS consortium.

The overall goals of BioMS are:

  • Provide cutting edge instrumentation and competence in biological MS to projects of national importance.
  • Provide research support, develop and apply continuous improvements of methods and capabilities
  • Increase awareness of current and future applications of biological MS
  • To increase data management and data analysis capabilities
  • Educate users in biological MS and applications of biological MS
  • Organize a national network of Swedish MS-facilities to improve collaboration.
  • Strive to maintain an equal gender policy.

Institutes' Omics Technologies

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  • LC-MS
  • Liquid chromatography (HPLC, UHPLC)
  • Research
  • Clinical use
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Disease processes research
  • Expression proteomics
  • Interaction proteomics and protein networks
  • Post-translational modifications
  • Proteogenomic


Collaboration with industry where the institute collaborated with Proteomics expertise (in the last 5 years) >10
% of TIME involved in technology/methods development/innovation/intellectual property related to Proteomics 10%


  • Proteomics
  • Metabolomics
  • Omics data integration / systems biology
  • Structural Bioinformatics


  • Proteomics
  • Metabolomics
  • Omics data integration / systems biology
  • Structural Bioinformatics

DATA SUBMISSION in to public database


  • Molecular profiling (omics and others)


  • Protein annotation
  • Expression profiling with omics for proteins
  • Data integration (“Systems biology”)
  • Structural Modeling
  • Drug interaction analysis
  • Drug screening
  • Development of new algorithms, e.g. new decision algorithms, new sequence aligners for NGS data, etc.


  • Proprietary tools
  • Published tools
  • Own script/software