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Paola Picotti is an Italian/Swiss researcher and a professor at the Institute of Molecular Systems Biology at ETH Zurich studying molecular bases of protein aggregation diseases. She is the winner of 2019 EMBO gold medal for her breakthrough research in the mass spectrometry and targeted proteomics.[1][2][3] Picotti's research focuses on development of mass spectrometry-based structural and chemical methods to analyse protein conformational changes to be used in studying development and progression of neurodegenerative diseases.[4][5]
Education
[edit]Picotti received her Masters degree in Pharmaceutical Chemistry and Technologies from the University of Padua, Italy in 2001 (summa cum laude). In 2006 she moved on to do a PhD in the team of Prof Angelo Fontana. Since her PhD work she she maintains her interest in tackling biological mechanisms of protein amyloid fibrillogenesis.[6]
Career
[edit]Picottis' career is closely connected to the ETH Zurich. In 2007 Picotti received a Marie Curie Intraeuropean fellowship to work in the group of Prof Ruedi Aebersold, where she developed many new experimental and analytical methods for targeted proteomics.[7][8] In 2011 she started her own research group at the ETH Institute of Biochemistry and was appointed an Assistant Professor. In 2014 Piccotti was awarded an ERC starting grant and in 2016 EMBO Young Investigator Award. Picotti is also a scientific advisor for Biognosys - proteomics quantification company.[9]
Professional awards
[edit]- Juan Pablo Albar “Protein Pioneer” Award, European Proteome Organization (2018)
- Friedrich-Miescher Award (2018)
- Robert J. Cotter Award, American Human Proteome Organization (2016)
- SGMS Award for independent research in the field of mass spectrometry (2016)
- “Top 40 under 40” Power List, The Analytical Scientist (2014)
- ETH Latsis Prize (2011)
References
[edit]- ^ Steve. "M. Madan Babu and Paola Picotti honoured with EMBO Gold Medal". EMBO. Retrieved 2019-12-12.
- ^ Schopper, Simone; Kahraman, Abdullah; Leuenberger, Pascal; Feng, Yuehan; Piazza, Ilaria; Müller, Oliver; Boersema, Paul J; Picotti, Paola (2017-11). "Measuring protein structural changes on a proteome-wide scale using limited proteolysis-coupled mass spectrometry". Nature Protocols. 12 (11): 2391–2410. doi:10.1038/nprot.2017.100. ISSN 1754-2189.
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(help) - ^ Feng, Yuehan; De Franceschi, Giorgia; Kahraman, Abdullah; Soste, Martin; Melnik, Andre; Boersema, Paul J; de Laureto, Patrizia Polverino; Nikolaev, Yaroslav; Oliveira, Ana Paula; Picotti, Paola (2014-10). "Global analysis of protein structural changes in complex proteomes". Nature Biotechnology. 32 (10): 1036–1044. doi:10.1038/nbt.2999. ISSN 1087-0156.
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(help) - ^ Perspectives in Proteomics: Interview with Prof. Paola Picotti, retrieved 2019-12-12
- ^ Soste, Martin; Charmpi, Konstantina; Lampert, Fabienne; Gerez, Juan Atilio; van Oostrum, Marc; Malinovska, Liliana; Boersema, Paul Jonathan; Prymaczok, Natalia Cecilia; Riek, Roland; Peter, Matthias; Vanni, Stefano (2019-09). "Proteomics-Based Monitoring of Pathway Activity Reveals that Blocking Diacylglycerol Biosynthesis Rescues from Alpha-Synuclein Toxicity". Cell Systems. 9 (3): 309–320.e8. doi:10.1016/j.cels.2019.07.010. PMC 6859835. PMID 31521608.
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(help)CS1 maint: PMC format (link) - ^ Picotti, Paola; De Franceschi, Giorgia; Frare, Erica; Spolaore, Barbara; Zambonin, Marcello; Chiti, Fabrizio; de Laureto, Patrizia Polverino; Fontana, Angelo (2007-04-13). "Amyloid Fibril Formation and Disaggregation of Fragment 1-29 of Apomyoglobin: Insights into the Effect of pH on Protein Fibrillogenesis". Journal of Molecular Biology. 367 (5): 1237–1245. doi:10.1016/j.jmb.2007.01.072. ISSN 0022-2836.
- ^ Picotti, Paola; Rinner, Oliver; Stallmach, Robert; Dautel, Franziska; Farrah, Terry; Domon, Bruno; Wenschuh, Holger; Aebersold, Ruedi (2010-01). "High-throughput generation of selected reaction-monitoring assays for proteins and proteomes". Nature Methods. 7 (1): 43–46. doi:10.1038/nmeth.1408. ISSN 1548-7105.
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(help) - ^ Picotti, Paola; Bodenmiller, Bernd; Mueller, Lukas N.; Domon, Bruno; Aebersold, Ruedi (2009-08-21). "Full Dynamic Range Proteome Analysis of S. cerevisiae by Targeted Proteomics". Cell. 138 (4): 795–806. doi:10.1016/j.cell.2009.05.051. ISSN 0092-8674. PMC 2825542. PMID 19664813.
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: CS1 maint: PMC format (link) - ^ "Biognosys - Next generation proteomics". biognosys.com. Retrieved 2019-12-12.