Radboudumc

Address P.O. Box 9101
6500 HB Nijmegen
The Netherlands
Platforms ATMP & Biological, Biomarkers, Imaging & Tracing, Vaccines

Radboud university medical center is one of the leading academic centers in The Netherlands. Our researchers focus on understanding disease and solving current healthcare and public health issues, with an eye on emerging challenges of the future.

Our strength is the combination of life sciences, health sciences and clinical practice, with an impressive infrastructure comprising three research institutes and cutting edge Radboudumc Technology Centers. We aim to play a leading role in the new healthcare paradigms of prediction, prevention and personalized medicine.

Facts about Radboud university medical center

  • Based in Nijmegen, The Netherlands
  • More than 10,000 employees and 3,000 students
  • 18 research themes within molecular life sciences, neurosciences and health sciences
  • Three research institutes and graduate schools

Read the case-study from Bruker to find out more about our Translational Metabolic Laboratory.

Contact

Facility Dept. of Human Genetics
Head of the facility
  • Marcel Nelen

Expertise

Technologies
  • SangerSequencing
  • NGS-Whole genome sequencing (WGS)
  • NGS-Exome sequencing(WES)
  • NGS-other
  • Fluorescence in situ hybridization (FISH)
  • Array comparative genomic hybridization (aCGH)
  • Multiplex ligation-dependent probe amplification (MLPA)
  • Genotyping
  • qPCR
  • Droplet Digital PCR (ddPCR)
Purposes
  • Research
  • Clinical use
  • Service
Applications
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Disease processes research
  • Infection medicine
  • Microbial Genomics
  • Therapeutic development

Features

Collaboration with industry where the institute collaborated with Genomics expertise (in the last 5 years) >10
% of TIME involved in technology/methods development/innovation/intellectual property related to Genomics 70%
Certifications
  • ISO15189

Track record

Key opinion leaders
  • Han Brunner (clinician, rare genetic diseases)
  • Lisenka Vissers (Clinical utility and HTA)
  • Christian Gilissen (Bioinformatics)
  • Alex Hoischen (ImmunoGenetics and technology)
Publications

Contact

Facility Radboud Technology Center for Mass Spectrometry
Head of the facility
  • Jolein Gloerich

Expertise

Technologies
  • LC-MS
  • Liquid chromatography (HPLC, UHPLC)
Purposes
  • Research
  • Clinical use
Applications
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Disease processes research
  • Expression proteomics

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 100%

Track record

Key opinion leaders
  • Jolein Gloerich - targeted proteomics, expression proteomics
  • Hans Wessels - glycopeptide profiling, intact protein analysis
Publications

Contact

Head of the facility
  • Dr. Karlien Coene

Expertise

Technologies
  • High performance liquid chromatography (HPLC,UHPLC)
  • LC-MS
  • Nuclear magnetic resonance (NMR)
  • Untargeted metabolomics assays
  • Targeted metabolomic assays
  • High Resolution QTOF mass spectrometry
Purposes
  • Research
  • Clinical use
Applications
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Disease processes research

Features

Collaboration with industry where the institute collaborated with Metabolomics expertise (in the last 5 years) <10
% of TIME involved in technology/methods development/innovation/intellectual property related to Metabolomics 20%
Certifications
  • ISO15189

DATA ANALYSIS for

  • Genomics
  • Proteomics
  • Metabolomics
  • Omics data integration / systems biology
  • Structural bioinformatics

DATA INTERPRETATION for

  • Genomics
  • Proteomics
  • Metabolomics
  • Omics data integration / systems biology
  • Structural bioinformatics

DATA MANAGEMENT for:

  • FAIR data

DATA SUBMISSION in to public database

STATISTICS

  • Molecular profiling (omics and others)
  • Expertise in clinical design of experiments, clinical statistics
  • Metadata (patient/sample information)
  • Methods and policies for information infrastructure, including privacy and security

BIOINFORMATICS

  • Genes proteins and metabolites annotation
  • Expression profiling with omics and others (e.g. PCR) for RNAseq, microRNA, other RNA species, proteins and metabolites
  • Data integration (“Systems biology”)
  • Structural modeling
  • Genetic analysis for Structural variation detection (Genome, Exome) and prediction of protein function from sequence information
  • Drug-target interaction analysis
  • Semantic analysis (“Bibliome analysis”, text mining)
  • Imaging
  • Development of new algorithms, e.g. new decision algorithms, new sequence aligners for NGS data, etc.
  • Development of semantic analysis tools
  • Informatics methods to support clinical decisions (diagnostic, predictive tests)

OMICS INTEGRATION METHODS

  • Published tools – mixOmics; WGCNA; MOFA
  • Own scripts/software

Get in touch

Emanuela Oldoni

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