Mihaela Zavolan

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Mihaela Zavolan (2011)

Mihaela Zavolan (born April 23, 1968 in Timișoara ) is a Romanian systems biologist and professor at the Biozentrum of the University of Basel .

Life

Mihaela Zavolan studied medicine at the Medical and Pharmaceutical University in Timișoara , Romania. She then did a PhD in Computer Science at the University of New Mexico in Albuquerque, USA. In the USA, Zavolan also conducted research between 1993 and 2003 at the Santa Fe Institute in Santa Fe, the Los Alamos National Laboratory in Los Alamos, and at Rockefeller University in New York. In 2003 Mihaela Zavolan became Professor of Computational and Systems Biology at the Biozentrum of the University of Basel and group leader at the Swiss Institute of Bioinformatics (SIB).

Act

Zavolan researches so-called microRNAs ( miRNAs ). These 22 nucleotide long RNA molecules regulate the expression of protein- coding genes and thus control cell differentiation , metabolism and the immune response of the cells . By developing high throughput methods combined with computer analysis, Zavolan discovered numerous miRNAs in various organisms from viruses to humans. She developed computer programs for the exact prediction of miRNA genes in the genome and of target mRNAs. In addition, Michaela Zavolan worked on the development of the CLIP method (Crosslinking and Immunoprecipitation) to localize the binding sites between messenger RNAs (mRNAs) and regulatory proteins (RBP). In addition, she designed a biophysical model that can be used to predict the interaction and binding strength between microRNAs and mRNAs.

Awards

Publications (selection)

  • M. Khorshid, J. Hausser, M. Zavolan, E. van Nimwegen: A biophysical miRNA-mRNA interaction model infers canonical and noncanonical targets. In: Nat Methods. 10 (3), Mar 2013, pp. 253-255. doi: 10.1038 / nmeth.2341 . Epub 2013 Jan 20. PMID 23334102 .
  • S. Kishore, L. Jaskiewicz, L. Burger, J. Hausser, M. Khorshid, M. Zavolan: A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins. In: Nat Methods. 8 (7), May 15, 2011, pp. 559-564. doi: 10.1038 / nmeth.1608 . PMID 21572407 .
  • P. Landgraf, M. Rusu, R. Sheridan, A. Sewer, N. Iovino, A. Aravin, S. Pfeffer, A. Rice, AO Kamphorst, M. Landthaler, C. Lin, ND Socci, L. Hermida, V. Fulci, S. Chiaretti, R. Foà, J. Schliwka, U. Fuchs, A. Novosel, RU Müller, B. Schermer, U. Bissels, J. Inman, Q. Phan, M. Chien, DB Weir, R. Choksi, G. De Vita, D. Frezzetti, HI Trompeter, V. Hornung, G. Teng, G. Hartmann, M. Palkovits, R. Di Lauro, P. Wernet, G. Macino, CE Rogler, JW Nagle , J. Ju, FN Papavasiliou, T. Benzing, P. Lichter, W. Tam, MJ Brownstein, A. Bosio, A. Borkhardt, JJ Russo, C. Sander, M. Zavolan, T. Tuschl: A mammalian microRNA expression atlas based on small RNA library sequencing. In: Cell. 129 (7), June 29, 2007, pp. 1401-1414. PMID 17604727 ; PMC 2681231 (free full text).
  • D. Gaidatzis, E. van Nimwegen, J. Hausser, M. Zavolan: Inference of miRNA targets using evolutionary conservation and pathway analysis. In: BMC Bioinformatics. 8, March 1, 2007, p. 69. Erratum in: BMC Bioinformatics. 8 (1), July 12, 2007, p. 248. PMID 17331257 ; PMC 1838429 (free full text).
  • A. Aravin, D. Gaidatzis, S. Pfeffer, M. Lagos-Quintana, P. Landgraf, N. Iovino, P. Morris, MJ Brownstein, S. Kuramochi-Miyagawa, T. Nakano, M. Chien, JJ Russo, J. Ju, R. Sheridan, C. Sander, M. Zavolan, T. Tuschl: A novel class of small RNAs bind to MILI protein in mouse testes. In: Nature. 442 (7099), Jul 13, 2006, pp. 203-207. Epub 2006 Jun 4. PMID 16751777 .

Web links

Individual evidence

  1. Curriculum Vitae biozentrum.unibas.ch, accessed on January 27, 2014.
  2. SIB Group M. Zavolan isb-sib.ch, accessed on January 27, 2014.
  3. Research Group Mihaela Zavolan eurasnet.info, accessed on January 27, 2014.
  4. New biophysical model predicts regulation by microRNAs  ( page no longer available , search in web archivesInfo: The link was automatically marked as defective. Please check the link according to the instructions and then remove this notice. unibas.ch, accessed on January 27, 2014.@1@ 2Template: Dead Link / www.unibas.ch  
  5. A quantitative analysis of CliP methods for identifying binding sites of rnA-binding proteins nature.com, accessed on January 27, 2014.
  6. A biophysical miRNA-mRNA interaction model infers canonical and noncanonical targets nature.com, accessed on January 27, 2014.
  7. ERC Starting Grant for Mihaela Zavolan biozentrum.unibas.ch, accessed on January 27, 2014.
  8. member of the Academia Europaea ae-info.org accessed, September 4, 2014.