Lund University

Address Box 117,
221 00 LUND
Sweden
Telephone 046-222 00 00
Email address lu@lu.se
Platforms Biomarkers, Imaging & Tracing, Small Molecules
Tags , ,

“Lund University’s vision is to be a world-class university that works to understand, explain and improve our world and the human condition.”

Lund University was founded in 1666 and is ranked among the world’s top 100 universities. The University in Lund has 42 000 students and 7 400 staff based in one of Northern Europe´s most knowledge-intensive areas with additional campuses in cities of Malmö and Helsingborg.

The University offers one of the broadest ranges of programs and courses in Scandinavia, based on cross-disciplinary and cutting-edge research with a distinct international profile, with partner universities in over 70 countries. The university is organized into eight faculties; economics and management, engineering and technology, humanities and theology, law, fine arts, music and theatre, medicine, science and social sciences.

The research is characterized by both breadth and strength and Lund is also known for its world leading research facilities. Two of the world’s foremost research facilities for materials research and life science are established in Lund. MAX IV, which was inaugurated in June 2016, is the leading synchrotron radiation facility in the world. The European research facility ESS will be the world’s most powerful neutron source when it opens for research in 2023. MAX IV and ESS will have a major impact on future scientific and industrial development in both materials science and life science.

Ideon Science Park, Medicon Village and Science Village Scandinavia are closely linked to Lund University, integrating research, innovation and entrepreneurship in the region.

Institutes' Omics Technologies

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Contact

Head of the facility
  • Sara Ek

Expertise

Purposes
  • Research
  • Service
Applications
  • Biomarkers discovery and development
  • Disease processes research
  • Non coding RNA analysis (miRNA, lncRNA, sRNA..)
  • Single cells studies
  • Therapeutic development

Features

Collaboration with industry where the institute collaborated with Transcriptomics expertise (in the last 5 years) <10
% of TIME involved in technology/methods development/innovation/intellectual property related to Transcriptomics 20%

Track record

Key opinion leaders
  • Lina Olsson, PhD - Expertise in transcriptomics in bulk RNA and tissue samples
  • Anna Sandström Gerdtsson , PhD - Expertise in imaging and multiplex protein expression in tissue
  • Sara Ek, Prof - Expertise in translational cancer research, including sequencing, spatial omics and protein profiling
Publications

Contact

Head of the facility
  • Fredrik Levander

Expertise

Technologies
  • LC-MS
Purposes
  • Research
Applications
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Expression proteomics
  • Post-translational modifications

Features

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 30%

Track record

Key opinion leaders
  • Magnus Jakobsson - post-translational modifications
  • Fredrik Levander - computational proteomics
  • Valentina Siino - biomarker discovery proteomics
Publications

DATA ANALYSIS for

  • Proteomics
  • Metabolomics
  • Omics data integration/systems biology

DATA INTERPRETATION for

  • Proteomics
  • Metabolomics
  • Omics data integration/systems biology

DATA SUBMISSION in to public database

STATISTICS

  • Qlucore, Metacore
  • Molecular profiling (omics and others)
  • Expertise in clinical design of experiments, clinical statistics

BIOINFORMATICS

  • Expression profiling with omics for RNAseq, microRNA, other RNA species and proteins
  • Data integration (“Systems biology”)
  • Development of new algorithms, e.g. new decision algorithms, new sequence aligners for NGS data, etc.
  • Informatics methods to support clinical decisions (diagnostic, predictive tests)

OMICS INTEGRATION METHODS

  • Own scripts/software

 

Lund University – U-READ Unit for Rapid Engineered Antibody Development

DATA ANALYSIS for

  • Antibody assays

DATA INTERPRETATION for

  • Antibody assays

BIOINFORMATICS

  • Genes annotation
  • Expression profiling with omics for RNAseq, miRNA, other RNAs species
  • Genetic analysis for Antibody gene sequence analysis and germline repertoire definition