Outlining the proces and lessons learned in organising the technological infrastructure at the Radboud university medical center, to shape the Radboudumc Technology Centers, supporting our mission in enabling personalized healthcare.

1. Organising technical infrastructures:
EATRIS Biomarker Platform Meeting
Amsterdam
26 November 2014
Professor in Personalized Healthcare
Head Radboud Center for Proteomics, Glycomics
and Metabolomics
Coordinator Radboud Technology Centers
Head Biomarkers in Personalized Healthcare
Prof Alain van Gool
Radboudumc Technology Centers

2. My background
8 years academia (NL, UK)
(molecular mechanisms of disease)
13 years pharma (EU, USA, Asia)
(biomarkers, Omics)
3 years applied research institute (NL, EU)
(biomarkers, personalized health)
3 years university medical center (NL)
(personalized healthcare, Omics, biomarkers)
1991-1996 1996-1998 2009-2012
1999-2007 2007-2009 2009-2011
2011-now
2011-now
2

3. Radboud university medical center
• Nijmegen, The Netherlands
• Mission: “To have a significant impact on healthcare”
• Strategic focus on Personalized Healthcare through
“the patient as partner”
• Core activities:
• Patient care
• Research
• Education
• 11.000 colleagues
• 52 departments
• 3.300 students
• 1.000 beds
• First academic centre outside US to fully implement EPIC

4. Takehome message
• Strategic focus on implementing Personalized Healthcare
• Strong technological and methodological infrastructure
• Continuous exploration of functional networks

5. Patient
Radboud
Personalized Healthcare
A significant impact
on healthcare
Molecule
Population
5

6. Personalized Healthcare @ Radboudumc
People are different Stratification by multilevel diagnosis
+
Patient’s preference of treatment
Exchange experiences in
care communities
Select personalized therapy
6

7. Translational medicine @ Radboudumc

8. Personalized genomic diagnostics
{Nature, July 17 2014, 511: 344-}
8

9. 2012
Patient
Targeted
Metabolic
screen
Targeted
gene
analysis
Diagnosis
+ follow-up
2013 / 2014
Patient
Whole
exome
sequencing
Targeted
confirmatory
metabolite +
enzyme
testing
Diagnosis
+ follow-up
Targeted assays vs holistic approach
Next
generation
metabolic
screening
Times are changing… add functional genome diagnostics

10. Human
samples
Plasma, CSF (urine)
Controls vs. patient
QTOF Mass Spectrometry
- Reverse phase liquid chromatography
- Positive and negative mode
- Features
XCMS
Alignment
Peak comparison
> 10,000 Features
Personalized metabolic diagnostics
Xanthine Uric acid
10
Full metabolite profile:
Highly suspected of
xanthinuria

11. Research Biomarkers Diagnostics
Integrated Translational Research and Diagnostic Laboratory
220 fte, yearly budget ~ 28M euro.
Close interaction with Radboudumc scientists and external partners
Specialities:
• Proteomics, glycomics, metabolomics
• Enzymatic assays
• Neurochemistry
• Cellulair immunotherapy
• Immunomonitoring
Areas of disease:
• Metabolic diseases
• Mitochondrial diseases
• Lysosomal /glycosylation disorders
• Neuroscience
• Nefrology
• Iron metabolism
• Autoimmunity
• Immunodeficiency
• Transplantation
In development:
• ~500 Biomarkers
• Early and late stage
• Analytical development
• Clinical validation
Assay formats:
• Immunoassay
• Turbidicity assays
• Flow cytometry
• DNA sequencing
• Mass spectrometry
• Experimental human (-ized)
invitro and invivo models for
inflammation and
immunosuppression
Validated assays*:
• ~ 1000 assays
• 3.000.000 tests/year
Areas of application:
• Personalized healthcare
• Diagnosis
• Prognosis
• Mechanism of disease
• Mechanism of drug action
Department of Laboratory Medicine
*CCKL accreditation/RvA/EFI
www.laboratorymedicine.nl

12. Orientation across the spectrum
from molecule to man to population
Orientation across
the spectrum of diseases
PI
Research theme
Technology C e n t e r s
Research support by Technology Centers

13. Radboudumc Technology Infrastructure
Get organised:
1. What technological expertise do we have and should we have ?
2. How should we organise this ?
3. How will we communicate this ?
Activities:
• Make inventories on current state and desired future state.
• Work with technology coordinators + departments (research, clinical, strategy,
communication , valorisation).
• Include input from research themes.
• Organize monthly full team meetings + many 1:1 meetings.
• Discussed output with research institutes, executive board.
• Implementation structure 1.0 by 1H2014. Improve in version 2.0 1H2015.
13

14. External role
Internal role
• Knowledge hub for technological expertise
• Maximise use of available technical capabilities and knowledge (‘duurzaamheid’)
• Advise scientists with technological expertise
• Advise management on strategic investments and opportunities
• Drive innovations by working with each other, theme’s and Valorisation
• Easy access to Radboudumc’s technological expertise
• Represent Radboudumc as one in external technology networks
• Increase funding (grants, contract research) with Valorisation
Internal / external role
Radboudumc Technology Centers

15. Technology Platforms UMC St Radboud
(Potential)
Technology
Platforms
Genomics
RPC
CMBI
PRIME
MIC
CDL
CRCN
Radboud
Malaria lab Biobank
Flow
cytometry
TR&CT
TNU
MITeC
PDRC
(based on quick scan Radboudumc Technology Platforms, Sept 2013)
December 2013

16. Radboudumc Technology Centers
Genomics
Bioinformatics Animal
studies
Flow
cytometry
Translational
neuroscience
Image-guided
treatment
Imaging
Microscopy
Biobank
Data
stewardship
Proteomics
Glycomics
Metabolomics
Radboudumc
Technology
Centers
GMP products
Clinical
trials
January 2014

17. • Align with the needs of the Research and Education, and contribute to
output and quality of those
• Organise each Technology Center as a single portal
• Add other Technology Centers when needed and useful
• Keep improving efficiency and funding
17
Radboudumc Technology Centers
Form and improve organisation

18. www.radboudumc.nl/research/technologycenters
Genomics
Bioinformatics
Animal
studies Translational
neuroscience
Image-guided
treatment
Imaging
Microscopy
Biobank
Health
economics
Mass
Spectrometry
Radboudumc
Technology
Centers
Investigational
products
Clinical
EHR-based trials
research
Statistics
Human
physiology
Data
stewardship
Molecule
Flow
cytometry
(August 2014)

19. 19
• Proteins
• Metabolites
• Drugs
• PK-PD
• Preclinical
• Clinical
• Behavioural
• Preclinical
• Animal facility
• Systematic review
• Cell analysis
• Sorting
• Pediatric
• Adult
• Phase 1, 2, 3, 4
• Vaccines
• Pharmaceutics
• Radio-isotopes
• Malaria parasites
• Management
• Analysis
• Sharing
• Cloud computing
• DNA
• RNA
• Internal
• External
• HTA
• Evidence-based
surgery
• Field lab
• Statistics
• Biological
• Structural
• Preclinical
• Clinical
• Economic
viability
• Decision
analysis
• Experimental design
• Biostatistical advice
• Electronic Health Records
• Big Data
• Best practice
• In vivo
• Functional
diagnostics
About 240 dedicated people working in 17 Technology Centers, ~1500 users (internal, external), ~130 consortia
www.radboudumc.nl/research/technologycenters/

20. Cross-technology interactions

21. Input-output Radboudumc Technology Centers
In
Scientist
Industry
Science
Lectures
Papers
Grants
Funding
Valorisation
Diagnostics
Commercial
Patents
Out
Patient
Spin-off
companies
21

22. www.radboudumc.nl/research/technologycenters/

23. Working together on the Radboud campus
(Spin-out)
companies
23

24. Radboud Research Facilities
24
www.ru.nl/radboudresearchfacilities/

25. Working with other Technology Networks
Region, nation, Europe, world
25

26. Working through multi-partner projects
Standardisation, harmonisation,
knowledge sharing needed in:
1. Assay development
2. Clinical validation
26
Example: Biomarker Development Center
Open
Innovation
Network !
Roadmap Molecular Diagnostics
PPP Grant 4.3M Euro

27. Next
• Keep improving Technology Center infrastructure
• Technology
• Collaborations
• Impact (research, education, patient care)
• Finances
• Continuous exploration of functional networks