My current research focuses on systems biology approaches to understand quantitatively a minimal bacterium, Mycoplasma pneumoniae. I develop modeling approaches to integrate a whole range of omics data, from genomics to proteomics. The aim of this work is twofold: first, to gain a deeper understanding of the functioning of the cell as a whole, putting the different layers of regulation (transcriptional, translational and post-translational) in the global context of the cell physiology. Second, to serve as a tool in assisting the rational design and development of genetically engineered Mycoplasma cell chassis for synthetic biology applications.


Weber M; Buceta J, 2016. The cellular Ising model: a framework for phase transitions in multicellular environments.  J R Soc Interface 13.

Weber M; Buceta J, 2013. Stochastic stabilization of phenotypic States: the genetic bistable switch as a case study.  PLoS One 8(9):e73487

Weber M; Buceta J, 2013. Dynamics of the quorum sensing switch: stochastic and non-stationary effects.  BMC Syst Biol 7:6

Weber M; Buceta J, 2011. Noise regulation by quorum sensing in low mRNA copy number systems.  BMC Syst Biol 5:11

Publication list retrieved from NCBI using ImpactPubs