Project description:Genome-wide epigenetic changes such as histone modifications form a critical layer of gene regulations and have been implicated in a number of different disorders such as cancer and inflammation. Progress has made to decrease the input required for gold-standard genome-wide profiling tools like chromatin immunoprecipitation followed by next generation sequencing (i.e. ChIP-seq) to allow scarce primary tissues of specific type from patients and lab animals to be tested. However, there has been very little effort to rapidly increase the throughput of these low-input tools. In this report, we demonstrate LIFE-ChIP-seq (Low-Input Fluidized-bed Enabled Chromatin Immunoprecipitation combined with sequencing), an automated and high-throughput microfluidic platform capable of running multiple sets of ChIP assays in as little as 1 h with as few as 50 cells per assay. Our technology will enable testing of a large number of samples and replicates with low-abundance primary samples in the context of precision medicine.
Project description:454-pyrosequencing technology was employed to investigate the microbial communities from anaerobic fluidized bed reactor treating laundry wastewater.
Project description:This paper presents the numerical investigation of the effects of the general bed characteristics such as superficial gas velocities, bed temperature, bed heights and particle size, on the direct synthesis in a 3D fluidized bed reactor. A 3D model for the gas flow, heat transfer, and mass transfer was coupled to the direct synthesis reaction mechanism verified in the literature. The model was verified by comparing the simulated reaction rate and dimethyldichlorosilane (M2) selectivity with the experimental data in the open literature and real production data. Computed results indicate that superficial gas velocities, bed temperature, bed heights, and particle size have vital effect on the reaction rates and/or M2 selectivity.
Project description:An industrial fluidized bed reactor was designed to convert an aqueous solid laden stream into a consistent granular product. CFD simulations were run using the MFiX two-fluid model for a fluidizing bed operating at 650?°C. A set of simulations were run over a Latin-hypercube sample of five model parameters - bed particle size, bed particle density, coal particle size, spray feed flow rate, and fluidizing gas flow rate. Data from the simulations were collected on three quantities of interest - bed differential temperature, low solids velocity, and bed void fraction. The data presented here is the full set of response surfaces generated using the process Gaussian response surface model in the Dakota toolkit, as well as the table of data for coefficients of the fitted model. The fits to the five-dimensional Gaussian Process models were 0.7797, 0.8664, and 0.9440 for the temperature, velocity, and solids packing, respectively.