Enhancing Production of Recombinant Proteins from Mammalian Cells

The bio-manufacturing of recombinant proteins from mammalian cell cultures requires robust processes that can maximize protein yield while ensuring the efficacy of these proteins as human therapeutics. Recognizing that the challenge of improving protein yield and quality can be met through various approaches, this paper presents three strategies currently being developed in our group. A method for rapidly selecting subpopulations of cells with high production characteristics is proposed. This method combines the efficiency of green fluorescent protein/fluorescence-activated cell sorting (GFP/FACS)–based screening with homologous recombination to generate and select high-producing subclones. Next, the development of chemically defined, protein-free media for enhancing monoclonal antibody production is described. Analysis of culture media effects on the genome-wide transcriptional program of the cell is presented as a means to optimize the culture media and identify potential targets for genetic manipulation. Finally, we propose a method for increasing the extent of intracellular sialylation by improving the transport of CMP-sialic acid into the trans-Golgi. This is hypothesized to increase the sialic acid availability, and may enhance the degree of sialylation in the glycoprotein product.Singapore-MIT Alliance (SMA

A novel normalization method for effective removal of systematic variation in microarray data

Normalization of cDNA and oligonucleotide microarray data has become a standard procedure to offset non-biological differences between two samples for accurate identification of differentially expressed genes. Although there are many normalization techniques available, their ability to accurately remove systematic variation has not been sufficiently evaluated. In this study, we performed experimental validation of various normalization methods in order to assess their ability to accurately offset non-biological differences (systematic variation). The limitations of many existing normalization methods become apparent when there are unbalanced shifts in transcript levels. To overcome this limitation, we have proposed a novel normalization method that uses a matching algorithm for the distribution peaks of the expression log ratio. The robustness and effectiveness of this method was evaluated using both experimental and simulated data