If you’re the head of an academic laboratory, interested in cancer therapies or long-term research on metabolic processes, don’t miss Dr. Kristjan Plaetzer’s presentation at 11:00 a.m. on Tuesday January 26 at the Tecan booth.
Respected worldwide as a specialist in applications of the photodynamic principle, Dr. Plaetzer earned his Ph.D. and venia docendi in biophysics at the University of Salzburg, Austria. Today, his major research interests are the cell death mode induced by photodynamic tumor therapy and analysis of cellular processes during active cell demise (apoptosis). Since 2009, Dr. Plaetzer has focused on applying the photodynamic approach against pathogenic microorganisms in human medicine and food.
Currently head of the Laboratory of Photodynamic Inactivation at the University of Salzburg (PDI-PLUS), Dr. Plaetzer has published 36 papers in peer-reviewed journals and a book chapter, and regularly serves as conference speaker. He is an ad hoc reviewer for several journals and member of the Society of Porphyrins and Phthalocyanines.
Time-resolved in vitro measurements of the intracellular PPIX formation are the bedrock for identification of further target diseases or testing novel ALA derivates. This presentation points out the convincing advantages of automation of such analyses.Photodynamic Tumor Therapy (PDT) is based on the intracellular photosensitizer-mediated and light-induced overproduction of reactive oxygen species to kill cancer cells. This approach achieved its clinical breakthrough upon approval of the photosensitizer protoporphyrin IX (PPIX), synthesized in tumor cells. Up to date, PDT has been a success story in treating dermatological cancers.
When we think about automation, it’s usually in connection with high throughput analysis and this is something academic research labs traditionally haven’t done. But recording metabolic processes manually creates problems, for example, gaps in the data at night. Dr. Plaetzer’s presentation suggests a way for labs to gather complete datasets using the example of research on tumor therapies.
This has significant potential advantages for academic research labs.
According to Dr. Plaetzer, there are two take-home messages. “First of all,” he says, “automating the analysis of metabolic processes allows for complete datasets of metabolic processes with low experimental error. Secondly, the automated analysis of photodynamic tumor therapy, offering distinct advantages when it comes to understanding the kinetics of anti-cancer drugs, can be achieved with a multimode microplate reader.”
11:00 a.m. Tuesday January 26 at the Tecan booth.