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Home > Research > Topics > A. Becskei

 
Prof. Dr. Attila Becskei
 
 
Prof. Dr. Attila Becskei
Computational and Systems Biology
Biozentrum, University of Basel
Klingelbergstr 50-70
CH - 4056 Basel
Switzerland
 
E-mail attila.becskei@unibas.ch
Phone +41 61 207 22 22
Fax +41 61 207 21 89
 
Homepage
 
 

Attila Becskei is a Professor of Synthetic Biology at the Biozentrum, University of Basel. His group combines mathematical and experimental approaches to study feedback regulation in genetic networks and to estimate parameters for systems biology. An important aim is to understand the stability and reversibility a cell fates, in particular, how they are influenced by stochastic gene expression and by the architecture of positive feedback loops in transcriptional and chromosomal epigenetic circuits. The stability of a cell fate plays an important role also in cellular memory, and cellular reprogramming can be viewed as the erasure of the cells own identity. By developing methods to measure RNA and protein turnover rates and protein-protein binding constants, another aim of the research in his group is to predict network behavior. For example, weak protein dimerization in a feedback loop can stabilize a cell fate. While the main focus is on synthetic networks and yeast, the group, also as part of collaborations, studies embryonic stem cells and their differentiation into neurons.

For further details, see: http://www.biozentrum.unibas.ch/becskei/

 
Selected recent original publications:

  • Baudrimont A, Voegeli S, Viloria EC, Stritt F, Lenon M, Wada T, Jaquet V, Becskei A. (2017). Multiplexed gene control reveals rapid mRNA turnover. Sci Adv. 3:e1700006.
     
  • Gencoglu M, Schmidt A, Becskei A. (2017). Measurement of In Vivo Protein Binding Affinities in a Signaling Network with Mass Spectrometry. ACS Synth Biol. 6:1305-1314.
     
  • Jaquet V, Hsu C, Becskei A. (2017). Measurement of bistability in a multidimensional parameter space. Integr Biol (Camb). 9:167-177.
     
  • Maleki F, Becskei A. (2017). An open-loop approach to calculate noise-induced transitions. J Theor Biol. 415:145-157.
     
  • Hsu C, Jaquet V, Maleki F, Becskei A. (2016). Contribution of Bistability and Noise to Cell Fate Transitions Determined by Feedback Opening. J Mol Biol. 428:4115-4128.
     
  • Hsu C, Jaquet V, Gencoglu M, Becskei A. (2016). Protein Dimerization Generates Bistability in Positive Feedback Loops. Cell Reports. 16:1204-1210.
     
  • Stölting MN, Ferrari S, Handschin C, Becskei A, Provenzano M, Sulser T, Eberli D. (2013). Myoblasts inhibit prostate cancer growth by paracrine secretion of TNF alpha. J Urol. 189:1952-1959.
     
  • Kelemen J, Ratna P, Scherrer S, Becskei A. (2010). Spatial epigenetic control of mono- and bistable gene expression. PLOS Biology. 8(3):e1000332.