Project description:A photosynthetic cyanobacterial/microbial consortium was incubated in the dark for 12 days. During the course of this dark incubation, samples were taken every two days from the biomass portion and the liquid (supernatant) portion of the bioreactor. Metaproteomics analysis was conducted on these time series samples and binned and assembled metagenomes from the same samples were used as the database for protein identification.
Project description:These research areas concentrate on stress induced proteases in recombinant Escherichia coli, glycosylation heterogeneity due to bioprocess conditions produced in mammalian cells, and metabolic engineering of E. coli. The hypothesis of this project is that recombinant protein glycosylation is inefficient under normal bioreactor conditions since the additional glycosylation reactions necessary for the recombinant protein exceed the metabolic capacity of the cells. Normal bioreactor conditions have been optimized for cell growth, and sometimes for protein productivity. Only recently has it been accepted that optimal glycosylation may not occur under optimal growth or protein productivity conditions. Specific Aim: Determine the relationship between bioreactor conditions and glycosylation gene expression in NS0 cells.
Project description:Microbial communities from bioreactor (seeded with sewage sludge) at Lawrence Berkeley National Lab, California, USA - Biofuel Metagenome 8
Project description:Microbial communities from bioreactor (seeded with sewage sludge) at Lawrence Berkeley National Lab, California, USA - Biofuel Metagenome 9
Project description:These research areas concentrate on stress induced proteases in recombinant Escherichia coli, glycosylation heterogeneity due to bioprocess conditions produced in mammalian cells, and metabolic engineering of E. coli. The hypothesis of this project is that recombinant protein glycosylation is inefficient under normal bioreactor conditions since the additional glycosylation reactions necessary for the recombinant protein exceed the metabolic capacity of the cells. Normal bioreactor conditions have been optimized for cell growth, and sometimes for protein productivity. Only recently has it been accepted that optimal glycosylation may not occur under optimal growth or protein productivity conditions. Specific Aim: Determine the relationship between bioreactor conditions and glycosylation gene expression in NS0 cells. EXPERIMENT: Mouse NS0 myeloma cells were grown in culture, stressed with 5 mM NaCl, 10 mM proline plus 5 mM ammonia, or 5 mM ammonia, along with an unstressed control group. The growth of the cultures were followed until the late exponential phase (90 hours), at which time two 50 mLs of cells were harvested and RNA extracted. Samples were prepared in triplicate, for a total of 12 samples. The RNA was amplified and labeled by Microarray Core (E) and hybridized to the GLYCOv3 microarrays.
