big data and immunology at gfii paris fevrier 2014
DESCRIPTION
Big Data: le point de vue d'un enseignant chercheur en immunologieTRANSCRIPT
![Page 1: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/1.jpg)
Les Données de la recherchedans l'écosystème des publications scientifiques • Le 12 février 2014• Institut Pasteur• Les besoins des chercheurs en
Sciences de la Vie et de la Santé: exemple de l'Immunologie
• GC Faure, MD, PhD, PUPH• Faculté de Médecine, Univ Lorraine • UMR CRAN/CNRS 7039
![Page 2: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/2.jpg)
Qui suis-je?
• Un utilisateur final, « enduser » de l'IST depuis longtemps– SCICOM Nancy– Ex-Chargé de Mission à la
documentation UHP Nancy– ASSIM, SFI, IUIS, ICSU
• Website, Scientific Curation
– Un Immunologiste clinicien engagé en cytomique• Des Workshops HLDA • aux CTCs et CECs
![Page 3: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/3.jpg)
Quelles données ? « Big Data »
• Mathématiques, Physique, Astronomie...– Des chiffres et des images
(numérisées!)
• En SBS? – Sciences de la Vie: Gènes, Molécules,
Cellules, Tissus... Données sans risque mais pas sans impact
– Sciences de la Santé: Données à risque?!
![Page 4: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/4.jpg)
On faisait déjà du big data sans le savoir
• En France et à l'international, depuis 1981
• CDs, Workshops HLDA– Data shared– Molécules nombreuses, >363! – mais non diverses
![Page 5: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/5.jpg)
En Europe
• IMGT/MontpellierIMGT®, the international ImMunoGeneTics information system®
http://www.imgt.org, is the global reference in immunogenetics and immunoinformatics, created in 1989 by Marie-Paule Lefranc (Université Montpellier 2 and CNRS). IMGT® is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), MH superfamily (MhSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.
Estimated size of immune repertoire: 10 10
![Page 6: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/6.jpg)
Genes, aux USA
• ENCODE– 75% and not 3% of genome can be
transcribed
• Immunological GENOME projectCurr Opinion Immunol 2013;25:593-7Trends immunol 2013;34:602-9Microarray-based transcriptomes for
most of the well-defined leukocyte subsets of the C57BL/6 mouse
![Page 7: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/7.jpg)
Immunité innée et cellules NKIPD-KIR
• Molécules:The database provides a centralised repository for human KIR sequences. Killer-cell
Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors.
![Page 8: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/8.jpg)
Molecules
• Molecules: Immunopeptidome– Full repertoire of petides
bound to the HLA molecules, in health and disease
– Mol Cell Proteomics 2011;10
– Mass spectrometry technologies
![Page 9: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/9.jpg)
CellulesProjets internationaux
• Immport: Bioinformatics for the future of Immunology
The Immunology Database and Analysis Portal (ImmPort) system was developed under the Bioinformatics Integration Support Contract (BISC) Phase II by the Northrop Grumman Information Technology Health Solutions team for the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Allergy, Immunology, and Transplantation (DAIT)
MHC + Cytometry...FLOCK: Flow cytometry clustering without K; + CyTOF Analysis of human T cells
![Page 10: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/10.jpg)
Cellules et Tissus
EPIC Sciences (San Diego)A new kind of cytology detecting rare cells (CTCs and CECs) on
blood slides, allowing to introduce the concept of fluid biopsy.
• Immunome (tumeurs):– Immunity, Volume 39, Issue 4, 631-632, Oct 2013
– Tumors are complex masses containing not just neoplastic cells but also stromal cells, neovasculature, and a gamut of immune cells.
![Page 11: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/11.jpg)
Flu : Google trends
• CDC
![Page 12: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/12.jpg)
Sciences de la Santé:Recherche clinique et big data
• Du papier aux e-CRFs• GEIL, EGIL, ELN... • GOELAMs
– e-CRFs– ARCs, TECs
• A risque! Médical, données patients– Secret, confidentialité
• Impact– Évaluation de protocoles cliniques,
données pharmacoéconomiques
![Page 13: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/13.jpg)
Big Data and HIV ResearchAIDS 2013;27:835-8
• HIVsystemsbiology.org– Gene Overlapper
• 39 lists of genes.. 500billion subsets• 3 genome wide siRNA screens• CDNA overexpression screen• Crowd sourcing for Mason-Pfizer monkey
virus proteases
– HIV replication Cycle Site– AIDSVu project (géographie de la
maladie #GoogleMap)
• Publication 15091 papers in 2011:>40/day
![Page 14: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/14.jpg)
UK/(USA): Clinical research
• General Practice Research Database– 15 years..
• CPRD / NHS– Asthma– Cardiovascular disorders
• Patientslikeme!• SAGE/Bionetworks.. Parkinson
![Page 15: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/15.jpg)
Recherche cliniqueMédecine personnalisée
• Myélome: MMRF Multiple Myeloma Research Foundation– Sept 2013... first and only open
access data platform in myelomaThe groundbreaking MMRF CoMMpass study is now enrolling NEWLY DIAGNOSED
multiple myeloma patients.
Landmark 10-year study,1000 patients, Molecular analysis of every patient
• Personalized or Precision medicine
![Page 16: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/16.jpg)
« Open... »
• Data• Sources• Software: CrowdSource Coders
• Nature Biotechnology Feb 2013• TopCoder.com
– « Big Data in biomedicine » FF Costa– Drugdiscovery Today 2014, in press
• Opportunity for future personalized medicine programs
![Page 17: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/17.jpg)
Les Besoins des chercheurs
• Outils informatiques!?E-BIOTHON: cloud dédié à la
bioinformatique CNRS, IBM, Inria, the Institut Français de
Bioinformatique and the innovative start-up SysFera are rolling out E-Biothon, an experimental Cloud platform (1) to help speed up and advance research in biology, health and the environment.
• Maîtrise des logiciels• Accès aux données publiques et
privées (Dossier Médical)• Maîtrise des concepts de
l'information scientifique• Maîtrise de l'évolution des concepts
![Page 18: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/18.jpg)
Besoins des futurs chercheursLes publications: big data and information overload
• Teaching and training of students – Data: Lab Archives and Notebooks– Papers: Back to Basics
• Databases of scientific papers– From PubMed, to Researchgate,
from World of science to Scopus
• Grey Literature! (Google!)• Impact Factor: from citations to
altmetrics
– Knowledge: Concepts and ideas Curation?...
![Page 19: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/19.jpg)
L'écosystème des publications scientifiques
• Le Chaos?
• Sortir du chaos: la curation
![Page 20: Big Data and Immunology at GFII Paris fevrier 2014](https://reader033.vdocuments.site/reader033/viewer/2022061219/54b80ad84a7959a7128b45ef/html5/thumbnails/20.jpg)
A few other references
• http://www.hsph.harvard.edu/news/magazine/spr12-big-data-tb-health-costs/
• Van Noorden R Data-sharing: everything on display Nature 2013, 500: 243-5
• Jombart T et al Bayesian reconstruction of disease outbreaks... PLOS Computational Biology 2014;