Cell Line Development (cell + line_development)

Distribution by Scientific Domains


Selected Abstracts


Advances in Cell Culture Process Development: Tools and Techniques for Improving Cell Line Development and Process Optimization

BIOTECHNOLOGY PROGRESS, Issue 3 2008
Susan T. Sharfstein
At the 234th National Meeting of the American Chemical Society, held in Boston, MA, August 19,23, 2007, the ACS BIOT division held two oral sessions on Cell Culture Process Development. In addition, a number of posters were presented in this area. The critical issues facing cell culture process development today are how to effectively respond to the increase in product demands and decreased process timelines while maintaining robust process performance and product quality and responding to the Quality by Design initiative promulgated by the Food and Drug Administration. Two main areas were addressed in the presentations: first, to understand the effects of process conditions on productivity and product quality, and second, to achieve improved production cell lines. A variety of techniques to achieve these goals were presented, including automated flow cytometric analysis, a high-throughput cell analysis and selection method, transcriptional and epigenetic techniques for analysis of cell lines and cell culture systems, and novel techniques for glycoform analysis. [source]


Characterization of a novel fibroblast-like cell line from rainbow trout and responses to sublethal anoxia

JOURNAL OF FISH BIOLOGY, Issue 4 2004
C. G. Ossum
A novel fibroblast-like cell line RTHDF was established from hypodermal connective tissue of rainbow trout Oncorhynchus mykiss and telomerase activity was demonstrated early and late in cell line development. When RTHDF cells were exposed to bioenergetic stress, i.e. anoxia, activation of the stress activated member of the mitogen-activated protein kinase family, p38MAPK and induction of heat shock protein (Hsp70) were evident. The time-course of the p38MAPK activation and the induction of Hsp70 expression in RTHDF were studied in response to chemically induced anoxia. p38MAPK was activated rapidly, with maximal activity after 10 min of anoxia. Hsp70 was induced after 30 min of anoxia, followed by overnight recovery in growth medium at 21° C. Using the p38MAPK -specific inhibitor SB203580, the enhanced expression of Hsp70 occurred independently of p38MAPK activation in RTHDF. These data suggests that RTHDF can be useful in studying biochemical responses of teleost cells to environmental stress. [source]


Mechanisms of unintended amino acid sequence changes in recombinant monoclonal antibodies expressed in Chinese Hamster Ovary (CHO) cells

BIOTECHNOLOGY & BIOENGINEERING, Issue 1 2010
Donglin Guo
Abstract An amino acid sequence variant is defined as an unintended amino acid sequence change and contributes to product heterogeneity. Recombinant monoclonal antibodies (MAbs) are primarily expressed from Chinese Hamster Ovary (CHO) cells using stably transfected production cell lines. Selections and amplifications with reagents such as methotrexate (MTX) are often required to achieve high producing stable cell lines. Since MTX is often used to generate high producing cell lines, we investigated the genomic mutation rates of the hypoxanthine,guanine phosphoribosyltransferase (HGPRT or HPRT) gene using a 6-thioguanine (6-TG) assay under various concentrations of MTX selection in CHO cells. Our results show that the 6-TG resistance increased as the MTX concentration increased during stable cell line development. We also investigated low levels of sequence variants observed in two stable cell lines expressing different MAbs. Our data show that the replacement of serine at position 167 by arginine (S167R) in the light chain of antibody A (MAb-A) was due to a genomic nucleotide sequence change whereas the replacement of serine at position 63 by asparagine (S63N) in the heavy chain of antibody B (MAb-B) was likely due to translational misincorporation. This mistranslation is codon specific since S63N mistranslation is not detectable when the S63 AGC codon is changed to a TCC or TCT codon. Our results demonstrate that both a genomic nucleotide change and translational misincorporation can lead to low levels of sequence variants and mistranslation of serine to asparagine can be eliminated by substituting the TCC or TCT codon for the S63 AGC codon without impacting antibody productivity. Biotechnol. Bioeng. 2010;107: 163,171. © 2010 Wiley Periodicals, Inc. [source]


CHO gene expression profiling in biopharmaceutical process analysis and design

BIOTECHNOLOGY & BIOENGINEERING, Issue 2 2010
Jochen Schaub
Abstract Increase in both productivity and product yields in biopharmaceutical process development with recombinant protein producing mammalian cells can be mainly attributed to the advancements in cell line development, media, and process optimization. Only recently, genome-scale technologies enable a system-level analysis to elucidate the complex biomolecular basis of protein production in mammalian cells promising an increased process understanding and the deduction of knowledge-based approaches for further process optimization. Here, the use of gene expression profiling for the analysis of a low titer (LT) and high titer (HT) fed batch process using the same IgG producing CHO cell line was investigated. We found that gene expression (i) significantly differed in HT versus LT process conditions due to differences in applied chemically defined, serum-free media, (ii) changed over the time course of the fed batch processes, and that (iii) both metabolic pathways and 14 biological functions such as cellular growth or cell death were affected. Furthermore, detailed analysis of metabolism in a standard process format revealed the potential use of transcriptomics for rational media design as is shown for the case of lipid metabolism where the product titer could be increased by about 20% based on a lipid modified basal medium. The results demonstrate that gene expression profiling can be an important tool for mammalian biopharmaceutical process analysis and optimization. Biotechnol. Bioeng. 2010; 105: 431,438. © 2009 Wiley Periodicals, Inc. [source]