Meeting Programme
Dr Christine Faulkner (Oxford Brookes University)
The regulation of cell-to-cell communication during pathogen invasion
- Cell-to-cell communication is a fundamental biological process, necessary for co-ordination of development and environmental responses in multicellular organisms. The receptor-like protein AtLYM2 is located at plasmodesmata and mediates chitin-triggered changes to cell-to-cell communication during fungal pathogen invasion . AtLYM2 functions independently of the chitin receptor CERK1 and thus identifies that there are multiple chitin perception mechanisms in plants.
Dr Santanu Datta (Cellworks)
Delineating the genetic and chemical vulnerability of anti-infective drug targets
- The equity of a drug target is majorly evaluated by its genetic vulnerability with tools ranging from antisense and microRNA driven knockdowns to induced expression of the target protein. In order to upgrade the process of antibacterial target identification and discern its most effective type of inhibition, an in silico tool box that evaluates its genetic and chemical vulnerability leading either to stasis or cidal outcome was constructed and validated.
Dr Ashwani Pareek (JNU, New Delhi)
Dissecting out the complex trait of abiotic stress tolerance in plants: will a systems biology approach be of some help?
- Abiotic stresses cause a significant decline in crop yield worldwide. We are trying to dissect of the complex trait of salinity and drought response in rice plants. Contemporary tools of transcriptomics, proteomics, Ionomics, metabolomics etc are being used to understand the response of rice seedlings towards these stresses. One of the important conclusion which can be drawn easily from these analysis is that the response is quite complex in nature. Hundereds of genes, proteins and metabolites are found to be up regulated or down regulated in rice seedlings within few minutes of salinity stress. The question still remains with us - which gene shall we engineer? which genes should be pyramided? will systems biology approach provide a solution to this? We have picked up a set of "candidate genes" from this list and have used the tools of functional genomics to validate the role of these unknown genes in stress tolerance. Data pertaining to these experiments will be discussed.
Prof A S Raghavendra (University of Hyderabad)
Optimisation of Photosynthesis by Multiple Intracellular Compartments in Plant Cells: A Systems Biochemistry Outlook
- Key metabolic processes in plant cells depend on dynamic inter-organelle interactions. The crosstalk between compartments is mediated by multiple signals, such as, metabolite movements, redox status and even pH. My talk would describe the signalling network between chloroplasts, mitochondria, peroxisomes, and cytoplasm, which achieves not only optimisation of photosynthesis but also protects against photoinhibition.
Dr Anu Raghunathan (National Chemical Laboratory, Pune)
From cell lines to Tissue specific Flux Balance Models: Cancer Cell Growth and Metabolism
- Complex multi-hit, multi phenotype diseases like cancer have poor prognosis and their
etiology is difficult to fathom due to multi-factorial emergent responses of the human system. Patients of such diseases would benefit highly from a personalized and individualized approach for treatment. Constraints-based flux balance models seem to provide such a platform for data integration and analysis of complex diseases. The focus of this talk is the development and analysis of tissue specific models for cancer. Global microarray gene expression data is used to develop cell-line and patient models for lung cancer using from legacy data using the genome scale model of human metabolism, Recon1 as the basis. The paradigm for metabolic systems biology as applied to lung cancer will be discussed in the context of computing the cancer phenotype. The predictions of clinical models using tissue data and blood data will be compared to the classical cell line models. Integration of results of routine blood work, specialized clinical tests like PET (Positron Emission Tomography) scans allow for better prognosis but also fundamental understanding of the disease. The challenge of such a task in the context of flux balance metabolic models for predictive differentiation of progressive disease states and their ability to predict outcomes will also be discussed.