Toegepast Natuurwetenschappelijk Onderzoek (TNO)

Address Anna van Buerenplein 1, 2595 DA, Den Haag, the Netherlands
Platforms Biomarkers

TNO is an independent and mission-driven research organisation. TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way. This is our mission and it is what drives us, more than  3,400 professionals at TNO, in our work every day. We focus our work on nine domains, one of which is Healthy Living.

Together with government authorities, knowledge institutes and industrial partners, we develop technological and social innovations that promote good health and work availability, and which therefore lead to a healthy, vigorous, and productive population – as well as lowering national healthcare costs and increasing economic growth.

In the Biomedical Health area we develop new technologies, translational preclinical models, measurement and in-silico tools to help the developers of medicines and functional foods to develop new products and test their effectiveness and safety more efficiently.

Within Biomedical health we address the need for better predictive, translational models and tools for efficient drug and other intervention development. We focus on development and application of validated, highly predictive translational models (in-vitro, ex-vivo, in-vivo and in-silico) that assess the efficacy, kinetics and toxicity of various interventions (drugs, foods, lifestyle) in humans, applicable in the entire product development trajectory. We contribute to innovations towards animal free testing (e.g. ‘organs-on-a-chip’, candidate selection directly in humans using microdosing and AMS). We develop and offer  tools and models that predict biological outcomes of the modulation of a biological process or protein target in-silico (risk assessment) and better mimic (personalized aspects of) physiological and disease processes in humans. Data mining tools, systems biology approaches and analytical technologies are available for identification and risk assessment of targets and identification and efficacy assessments of treatments and biomarkers.

By applying our innovations we help to lower attrition rates, enable development of precision medicine as well as lower the development costs.

Contact

Head of the facility
  • Peter van Dijken

Expertise

Technologies
  • RT-PCR
  • Nanostring
Purposes
  • Research
  • Service
Applications
  • Biomarkers discovery and development
  • Diagnostics and personalised disease profiling
  • Disease processes research
  • Human and pathogen transcriptomes
  • Responses to environment
  • Therapeutic development

Features

Collaboration with industry where the institute collaborated with Transcriptomics expertise (in the last 5 years) >30
% of TIME involved in technology/methods development/innovation/intellectual property related to Transcriptomics 30%

Track record

Key opinion leaders
  • Lars Verschuren, Systems Biology, Biomarkers Discovery, disease mechanisms
  • Frank Schuren, Human Pathogens, Microbiology and Mycobiology
  • Bart Keijser, Respiratory disease and oral health
  • Willem van den Brink, data science and data integration
Publications

Contact

Head of the facility
  • Peter van Dijken

Expertise

Technologies
  • High performance liquid chromatography (HPLC,UHPLC)
  • LC-MS
  • Targeted metabolomic assays
Purposes
  • Research
Applications
  • Biomarkers discovery and development
  • Disease processes research
  • Responses to environment
  • Therapeutic development

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%

Track record

Key opinion leaders
  • Ivana Bobeldijk, Metabolomics, Lipidomics
  • Elwin Verheij, Metabolomics
  • Suzan Wopereis, data interpretation,
Publications

DATA ANALYSIS for 

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

DATA INTERPRETATION for 

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

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 

  • Expression profiling with omics for RNAseq, microRNA, other RNA species and metabolites 
  • Data integration (“Systems biology”) 
  • Drug-target interaction analysis 
  • Semantic analysis (“Bibliome analysis”, text mining) 
  • 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 

  • Proprietary tools – Clarivate Analytics, IPA, 
  • Published tools – DeSEQ, Indra, SAM tools, Metaboanalyst, … 
  • Own scripts/software 
  • all codes stored in GIT HUB 

Get in touch

Emanuela Oldoni

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