Urban Liebel: Next generation high content screening platforms - from intelligent microscopes to cross-linked knowledge
October 6th, 2011 at 3 pm
Auditorium A2-70.04 (3-14)
Thorvaldsensvej 40
Frederiksberg C
Modern robotic microscope platforms (High content screening platforms) are ideal instruments for large scale genome studies. The image based read outs often generate 1-40 TByte data sets per single experiment. Besides cell based assays the transparent model organism zebrafish allows many High Content Screening studies in vivo in 4D, further increasing the amount of data generated.
I will present several compound screening strategies for probing inflammatory effects, heartbeat, morphological readouts and tissue specific expression profiling and discuss the data challenge and solutions.
Next Generation robotic microscopes offer a huge potential but require novel screening technologies for higher throughput approaches. Data storage, data integration, 4D visualization, searching across several 100 bioinformatic data deposits world-wide in billion of data sets will be the challenge for Next-Generation-High-Content-Screening.
References
DS Lütjohann , AH Shah, MP Christen, F. Richter, K Knese, U. Liebel. 2011. "Sciencenet" - Towards a global search and share engine for all scientific knowledge. Bioinformatics. 27(12):1734-5. Epub 2011 Apr 14.
C. Conrad, A Wünsche, T Heng Tan, J Bulkescher, F Sieckmann, F Verissimo, A Edelstein, T Walter, U Liebel, R Pepperkok, J Ellenberg´. 2011. Micropilot: automation of fluorescence microscopy–based imaging for systems biology. Nature Methods 8:246–249.
B Neumann, T Walter, J-K Hériché, J Bulkescher, H Erfle, C Conrad, P Rogers, I Poser, M Held, U Liebel [......] C Chapuis, D W Gerlich, R Schneider, R Eils, W Huber, J-M Peters, A A Hyman, R Durbin, R Pepperkok, J Ellenberg. 2010. Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes. Nature; 464(7289):721-7.