Advanced Molecular Tools for Proteome Analyses
Conference Recording Aug 11, 2014
About the Speaker
Masood Kamali-Moghaddam received his PhD in Pharmaceutical Microbiology at Dept. of Pharmaceutical Biosciences at Uppsala University where he studied bacterial genetics and the importance of transposition and site-specific recombination in dissemination of antibiotic resistance. He held a post-doctoral position at Center for Molecular Genetics at the University of California, San Diego, where he studied transcription initiation and regulation. He held a second post-doctoral position at Dept. Of Genetics and Pathology/ Div. of Molecular Medicine at Uppsala University. Here he worked with development and application of sensitive molecular tools for proteome analyses. Currently, he works as senior scientist at same department and continues working on development of highly sensitive molecular tools for search for biomarkers and early diagnostics, with focus on neurodegenerative diseases and cancer. Furthermore, he is currently responsible for two facilities at Swedish SciLifeLab for high throughput protein analysis for screening of biomarkers, and for in situ protein analysis. Abstract
The possibility to detect and analyze proteins in their biological environments with increased specificity and sensitivity will provide opportunities to use also very rare molecules as reliable biomarkers of diseases. We have recently developed a proximity ligation assay, where very high specificity and sensitivity of target molecule detection results from the requirement of multiple recognition events, combined with extremely high efficiency of signal detection due to amplification of DNA molecules that form in the detection reactions. A multiplex form of the assay allows parallel analyses of panels of proteins in minute amounts of samples, while other forms of the assay facilitates detection of high-order biological complexes. Here, we illustrate the application of PLA for screening and validation of protein biomarkers in different diseases such as cancer and autoimmune disorders, and the use of PLA for detection of high-order protein complexes – such as microvesicles – as biomarkers for prostate cancer.
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