Microbial Signaling pathways
The biochemical pathways which respond to the external stimuli commonly display a high degree of inter-cellular variability due to inherent stochastic nature of the chemical reactions . One of the main questions is that how a population of cells is able to accurately estimate the input signal in spite of such variability. In order to quantitatively understand different strategies utilized by the cell to increase accuracy of the estimation of input signal, one can use techniques from stochastic processes and information theory together with single cell experimental methods.
Motifs in biological networks
A prominent feature of gene regulatory networks is the presence in large numbers of motifs, i.e, patterns of interconnection, in the networks. The fumction of the motifs are studied throgh mathematical modeling using dynamical systems theory, stochastic processes.
Epigenetic modification of DNA and it's role on heterogeneity of stem cells
Understanding the embryonic development process of multicellular organism is one of the most important front-lines of current biological research, both from the point of view of fundamental biology as well as in designing regenerative medicine. One of the focuses in this field is to explore the effects of epigenetic DNA modification on the establishment and maintenance of pluripotency in embryonic stem cell.
Evolution of design in biological networks
Physics of life
https://www.nature.com/news/the-physics-of-life-1.19105
Collaborators
Victor Sourjik, Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
Alexander Anders, Max Planck Institute for Terrestrial Microbiology, Germany
Steffen Rulands, Max Planck Institute for Physics of Complex Systems, Dresden, Germany
Stefan Legewie, Institute of Molecular Biology, Mainz, Germany
Indrani Bose, Bose Institute, Kolkata, India
Uddipan Sarma, Persistent Systems Lab, Pune, India