Document 6423979

Transcription

Document 6423979
Bruno Clément
bruno.clement@inserm.fr
http://crbfrance.fr/
Basic
research
Animal and plant resources
Model
systems
Microorganisms
Patients
Annotated
and validated
biological resources
Genomics, proteomics,
metabolomics, HTS…
Data bases
bioinformatics
systems biology
Knowledge
Health
Agronomy
Economical and
societal output
Centres de ressources biologiques
1999
Loi sur l’Innovation du 12 Juillet 1999
OCDE : définition des CRB
2001
Comité Consultatif des Ressources Biologiques
Recommandations de l’OCDE pour les CRB,
approuvées par 30 pays
2001
à
2003
- AAP de l’INSERM, CNRS, INRA, IFREMER, BRG…
- Plan d’action du Ministère de la Santé pour les
tumorothèques
- Création du réseau national des biobanques (Inserm)
2003
Plan Cancer
=> action ciblée sur les tumorothèques par l’INCa
Déclaration de l’Unesco
2004
Loi de bioéthique du 6 août 2004
Loi Santé Publique du 9 août 2004
OCDE Conseil des ministres
=> réseau global des CRB
2006
ANR : AO pour une norme française CRB
Recommandations du Conseil de l’Europe
Directives européennes 2006-17 2006-86
2007
Recommandations de l’INCa pour les tumorothèques
- OCDE : Guide des bonnes pratiques pour les CRB
d’origine humaine et microbienne
- ESFRI : Biobanking and Biomolecular Research
Infrastructure (20 pays, 50 institutions)
2008
- Très Grande Infrastructure de Recherche
- Publication de la Norme française NF S 96-900
- Intégration du réseau des CRB au GIS Infrastructures
en Biologie, Santé et Agronomie
2010-11
- Extension de la Norme NF S 96-900
- Investissements d’Avenir : Infrastructures en Biologie
et Santé
BBMRI
MIRRI
GBIFF
Microorganismes
Agronomie
Réseau national
des biobanques
Tumorothèques
Santé
Comité Consultatif des Ressources Biologiques
Infrastructures en Biologie, Santé et Agronomie
http://www.ibisa.net
Infrastructures en Biologie, Santé et Agronomie
http://www.ibisa.net
Eligibility criteria
63 Biological resources centers
Animal and plant resources 9
Micro-organisms
7
Strategic importance
Governance
Quality assurance
Human health
47
Information system
Access
Activity
Typology of biobanks
Non-transformed biological samples
cells, tissues, blood, stools, urine…..
Derived products:
Cells
Tissue slices
DNA, RNA…
Proteins…..
Local biobanks, mono- ou multithematic
Networked biobanks, monothematic
Examples of biobanking networks
Network infrastructures
Transient biobanking networks
•
International Cancer Genome Consortium
–
•
•
•
To describe >1000 epigenomes
•
To discover common SNPs in common disease
To discover omic biomarkers in asthma
Japan Biobank
–
To accrue rapidly 300,000 samples for genetics and
pharmacogenetics in 50+ diseases
To link all biological resource centres
BBMRI.se (Sweden)
–
•
To link all biological resource centres
Spanish Biobanks infrastructure
–
•
To link national centres of excellence
French biobanques Infrastructure
•
•
To add scientific value to MRC genetic collections
German biobanking platform
–
IMI U-biopred
–
•
To describe sequence variation
To link national biobanking initiatives
UK DNA Banking Network
–
Wellcome Trust Case Control Consortium
–
•
•
International Human Epigenome Consortium
–
•
To specify a reference sequence (~10 libraries)
BBMRI : Biobank and BioMolecular
resources Research Infrastructure
–
1000 Genomes Project
–
•
To describe genomic, transcriptomic and epigenomic
changes in 50 different tumor types and/or subtypes
Human Genome Project
–
•
national large-scale biobanking facility
String of Pearls Initiative
–
To accrue samples in 9 diseases from 8 NL
hospitals
Objectives
• Access to samples and associated data
• Common services
• Biobank supports
– Regulatory affairs and ethics
– Methodology, biostatistics
– Technological development
• Public/private partnerships
• Links with European infrastructures: BBMRI and MIRRI
• Coordination with other PIA and related projects
Actors
75 biobanks and biological resources centers
~400 research teams
Institutions : AVIESAN…
Industry: ARIIS, equipments, IT…
Bioclusters: Medicen, LyonBiopôle, EuroBiomed, Alsace Biovalley
Coordination : Inserm
Coordinator : Georges Dagher
Scientific director: Bruno Clément
Scientific counsellor: Chantal Bizet
Preparatory phase
2012-2016
Scientific
Advisory Board
Governance Council
Stakeholders
forum
Coordination
committee
BBMRI
ERIC
EMbaRC/
MIRRI
Biobank
Biobank
BRC
Preparatory phase
2012-2016
• 7 working groups
– Data bases and interoperability
– Quality assurance
– Ethical, legal and societal issues
– Technological developments
– Methodology, Statistics
– Public-Private partnerships
– Training
Budget : 11 M€
Operational phase
2016-2020
Common services
•
•
•
•
•
•
•
•
On-step access to biological resources
Platform « Quality-assurance, Biosecurity, Biosafety »
Platform « Regulatory affairs and ethics »
Platform « Methodology and biostatistics »
Platform « Innovative technology »
Biomarker validation unit
Interoperability of data bases ; biocomputing
Training
Budget : 6 M€
Sustainability
• Evaluation of biobanks
• Links with other PIA
F-CRIN, IHU, Labex
RADICO, Constance, Canto, OFSep, CKD Rein, Perinat
Metagenopolis
IFB-core
• European integration
BBMRI-ERIC, MIRRI
Collaboration UE-Chine ; UE-USA ; UE-Emirats Unis ; UE-Australie
• Financing
Biobank activities
Regional funding
European funding: Bioshare, IMI, Eucolex, Itfom
Biobanks
Are they REALLY useful for the R&D ?
Strategic perspectives
Sustainability
Governance
Shared and common platforms
Top clinics Top biobanks Top science
Evaluation
Expertise
Thematics
Collections of biological samples from multicentre cohort of clinically welldefined patients with a high level of QA and annotations
Partnerships and valorization of biological resources => Expert centers
Expert Centers
Hospital
Patients
Samples
Med. data
Expertise
Samples
Med. data
Expertise
Biobank
Cost recov.
Public
(not-for-profit)
Data
Cost recov.
Expert
Centers
Public-Private
pre-competitive
(not-for-profit)
Research data
Expertise
Industry
Expertise
In-kind
Cost recov.
Private
competitive
(for-profit)
Provides efficient access to samples, data and expertise
Mutual benefit from expertise and in-kind contributions
Joint generation of pre-competitive data and knowledge
Reduces requirements for sample shipment
Gateway for global collaborations
Comte de Buffon
17071707-1788
Curiosity cabinet
Muséum d’Histoire Naturelle