Ils 2010 it
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KNOWLEDGE BASED PLATFORM FOR BIOTECHNOLOGY http://www.usamvcluj.ro/html/cercetare/platforma/
![PROF. DR DORU PAMFIL [email_address] HEAD of ILS Calea Manastur 3-5, 400372 Cluj-Napoca www.usamvcluj.ro INSTITUTE OF LIFE SCIENCE ILS](https://image.slidesharecdn.com/ils2010it-110927122622-phpapp01/85/Ils-2010-it-1-320.jpg)
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Ils 2010 it
- 1. PROF. DR DORU PAMFIL [email_address] HEAD of ILS Calea Manastur 3-5, 400372 Cluj-Napoca www.usamvcluj.ro INSTITUTE OF LIFE SCIENCE ILS
- 2. General Founded in 1869 Faculty of Agriculture Faculty of Animal Science & Biotechnology Faculty of Horticulture Faculty of Veterinary Medicine INSTITUTE OF LIFE SCIENCE (ILS) - 2007
- 3. WHY SPINE – S tructural P roteomics IN E urope
- 5. Team
- 7. Concept and Expansion of ILS INSTITUTE OF LIFE SCIENCE CLUJ-NAPOCA ILS – Innovation ILS – Research & Co-operation ILS – Facility ILS – Factors of Success ILS – Concept
- 8. Demand-Driven Process Approximately 90% Integration into the Workforce opportunity implementation results sustainability needs
- 9. Partnerships are Essential College Workforce Development Industry
- 12. Infrastructure for Universities Encourage multidisciplinary collaborative research Support faculty recruitment Provide venues for intellectual exchange Provide core facilities & equipment Move of IP from lab to commercialization Enhance high performance computing capabilities
- 13. omics Transcriptomics High throughput screening Moleculebank Genomics / proteomics Sclerosis Multiplex, POCD, Alzheimer Oral antidiabetics Safety pharmacology Chemiotherapy Nanotechnology Proteomic platform Microbial genomics / proteomics / transcriptomics Fermentation/Bioprotect DNS -> animal breeding Molecular farming Safety pharmacology Microarray platform Biomedical measurement Agro-biotechnology Metabolomics Enriched egg Technology Transfer Management Biomedical Informatics Joint technology platforms
- 14. ORGANISATION – ILS – CORE LABORATORIES Cell culture Transgenic animal model DNA Sequencing Post-genomic Histology, cytology, morphology Imaging Glassware & Lab maintenance Microarray laboratory Proteomics Laboratory Bioinformatics & Biostatistics High throughput analytical chemistry Translational research System biology
- 20. ILS – Factors of Success R & D Production Human Resources ILS Finance & Risk Capital Infra - structure one stop agency Management Services & Consulting Political support
- 21. ILS – Factors of Success ILS
- 22. POLICY MAKERS ACADEMIC PARTNERS ILS University of Medicine and Pharmacy University of Agricultural Sciences and Veterinary Medicine University of Babes Bolyai Technical University County Hospital of Cluj Institute of Oncology Institute of Public Health Institute of Public Health Veterinary State Direction EC NASR CNCSIS Start-up company Spin-off company PUBLIC PARTNERS
- 27. Research Topics
- 41. Spotted arrays 1 nanolitre spots 90-120 um diameter steel spotting pin 384 well source plate chemically modified slides
- 44. Preluat de la J Assouline, Genome-wide measurement of gene expression
- 47. From Macgregor and Squire, Clinical Chemistry, 2002
- 60. log/log scatter plot UP DOWN
- 62. Two dimensional hierarchical (“Eisen”) Clustering From: Dhanasekaran et al. Nature, 421 , p.822.
- 65. Every cell in the body has the same genetic constitution. In cancer cells there is usually acquired aberrant DNA Development of “cancer genomics” to better understand the molecular basis of acquired genetic change Breast Ovary Prostate
- 70. Laser Capture Microdissection (LCM)
- 71. Microdissected PIN (prostatic intraepithelial neoplasia) Before LCM After LCM
- 73. Tissue Arrays Monni et al , Seminars in Cancer Biology, (2001), 11 , p.395
- 75. cDNA array, Northern, ISH, IHC Mousses et al, Cancer Research (2002), 62 , p. 1256
- 76. Cancer Profiling Array (Clontech) Wiechen et al , American Journal of Pathology, (2001), 159 , p.1635
- 80. Uncovering gene enhancer elements (& J Taipale, Biomedicum) APPLICATIONS gene 1 gene 2 gene 3 gene 4 DNA RNA transcription translation Proteins transcription factors enhancer module
- 81. Model of cell type specific regulation of target gene expression GLI X Y (tissue specific TFs) GLI GLI Ubiquitously expressed TF transcription transcription Common targets (e.g. Patched): Cell type specific targets (e.g. N-myc):
- 83. Metabolic networks and systems biology (& J Rousu & VTT Biotech)
- 84. From Data to Knowledge Research Unit - Information systems
- 92. Thank you – I am charmed to be your guest!
- 93. ILS – we are looking forward to meeting You!
Editor's Notes
- SPINE PICTURE
- Department of Pharmacology Faculty of Pharmacy Faculty of Biology (Experimental Biology Laboratory) Bioinformatics and Biostatistics
- Genomics Center Real-time quantitative PCR Microarray experiments full range of genomics technologies including automatic DNA sequencing, gene expression array technologies, profiling, genotyping Bioinformatics Proteomics Center Metabolomics Center Other facilities provided for EIP purposes: HPLC and full analitical range of Mass Spectrometers Cell culture facilities Flow cytometry Confocal and deconvolution microscopy Imaging (PET, MRI, SPECT) scanning and transmission EM, atomic force microscopy Agricultural biotechnology - rural clusters Manufacturing - Biomanufacturing/ bioprocessing Informatics - life science applications linked to software/ IT clusters Research & Development – adjacent to universities with biotechnology / biomedical research focus
- The earliest biotechnologists were probably the Sumerians who brewed their beer with yeast, thereby using living organisms. This use of biotechnology was not intentional. Today biotechnology is used in our every day lives, e.g. in the kitchen (food and dish liquid), in the bathroom (cosmetics and detergent) or whenever we are ill. In general you can say that biotechnology is the use of biological processes, organisms, or systems to manufacture products intended to improve the quality of human life. In recent years, biotechnology has expanded in sophistication, scope, and applicability. The science of biotechnology can be broken down into sub disciplines known as red, green, grey, white, and blue. Red biotechnology involves medical processes, for instance using organisms to produce new drugs, or using stem cells to regenerate damaged human tissues and perhaps re-grow entire organs. Green biotechnology applies to agriculture and involves such processes as the development of pest-resistant grains or the accelerated evolution of disease-resistant animals. Grey biotechnology is mainly focused on processes that digest existing toxic substances found in our environment. White biotechnology involves industrial processes such as the production of new chemicals or the development of new fuels for vehicles. Blue biotechnology encompasses processes in marine and aquatic environments, for example - controlling the proliferation of toxic water-borne organisms. LIS clearly focuses on red biotechnology - especially on cancer, inflammatory diseases, diseases of the central nervous system, and proteomics. This specialization is part of the overall concept and responds to the specific resources the Rhine-Main-area has to offer.
- 1- Manufacturing of the microarray: clone collection acquisition (+ sequencing), PCR amplification and insert verification, spotting, QC. 2- Experimental design and choice of reference: what to compare to what? 3- Target preparation (labeling) and hybridization 4- Image acquisition (scanning) and quantification (signal intensity to numbers) 5- Database building, filtering and normalization 6- Statistical analysis and data mining