Reaching the depth of the Chinese hamster ovary cell transcriptome.

The high-throughput DNA sequencing Illumina Solexa GAII platform was employed to characterize the transcriptome of an antibody-producing Chinese hamster ovary (CHO) cell line. More than 55 million sequencing reads were generated and mapped to an existing set of CHO unigenes derived from expressed sequence tags (ESTs), as well as several public sequence databases. A very significant fraction of sequencing reads has not been previously seen. The frequency with which fragments of a unigene were sequenced was taken as an estimate of the abundance level of the corresponding transcripts. A wide dynamic range of transcript abundance levels was observed, spanning six orders of magnitude. However, the distribution of coverage across transcript lengths was found to vary, from relatively uniform to highly variable. This observation suggests that more challenges are yet to be resolved before direct sequencing can be used as a true quantitative measure of transcript level and for differential gene expression analysis. With the depth that high-throughput sequencing methods can reach, one can expect that the entire transcriptome of this industrially important organism will be decoded in the near future.

Developing genomic platforms for Chinese hamster ovary cells.

Chinese hamster ovary (CHO) cells are widely used in recombinant protein production, yet despite their importance in bioprocessing, few genomic resources have been developed for this cell line. Over the past several years, we have made considerable progress in the development of genomic tools for CHO. Using Sanger-based sequencing technology, we have accrued a sequence repertoire of more than 68,000 expressed sequence tags (ESTs), representing more than 28,000 unique CHO transcripts. Using closely related species, we have functionally annotated this sequence set and have currently achieved significant representation in a number of functional classes, including some closely tied to recombinant protein production. This sequence repository has been used to design custom CHO Affymetrix arrays for transcriptome analysis. Illumina Solexa deep sequencing technology was also applied to study the CHO cell transcriptome and survey the identity and expression of small RNAs. These applications demonstrate the utility of genomic tools, and illustrate the applicability of emerging next-generation sequencing technologies.

Quality assessment of cross-species hybridization of CHO transcriptome on a mouse DNA oligo microarray.

DNA microarray technology has been widely utilized for species with extensive genome sequence information available. Given the limited genomic information pertaining to Chinese hamster ovary (CHO) cell line, cross-species hybridization using mouse microarrays provides a viable alternative. In this study, the utility of mouse Affymetrix microarrays for transcriptome profiling in CHO cells was assessed by hybridizing identical sets of cRNA samples from CHO cells on both mouse and CHO Affymetrix microarrays. Expression level measured by probe sets for orthologous transcripts on the two microarrays was compared. Only a fraction of the orthologous probes which detected expression calls in same species hybridization were similarly called present in cross species hybridization. In further analysis at the 25-mer probe level, it was revealed that specific hybridization signals were detectable by the subset of mouse probes that have a high degree of homology to the corresponding CHO sequences. The feasibility of cross species hybridization for quantifying the extent of differential expression was assessed by comparing transcript levels of CHO cells cultivated with and without sodium butyrate. While same species hybridization gave consistent degree of differential expression calls in replicated runs, a much inferior ability in quantifying differential expression was seen with cross species hybridization. Our results demonstrate that through detailed analysis of homology at the probe pair level, a subset of probes on existing mouse Affymetrix oligo-array can be used successfully for transcriptome profiling of CHO cells.

Transcriptome and proteome profiling to understanding the biology of high productivity CHO cells.

A combined transcriptome and proteome analysis was carried out to identify key genes and proteins differentially expressed in Chinese hamster ovary (CHO) cells producing high and low levels of dhfr-GFP fusion protein. Comparison of transcript levels was performed using a proprietary 15K CHO cDNA microarray chip, whereas proteomic analysis was performed using iTRAQ quantitative protein profiling technique. Microarray analysis revealed 77 differentially expressed genes, with 53 genes upregulated and 24 genes downregulated. Proteomic analysis gave 75 and 80 proteins for the midexponential and stationary phase, respectively. Although there was a general lack of correlation between mRNA levels and quantitated protein abundance, results from both datasets concurred on groups of proteins/genes based on functional categorization. A number of genes (20%) and proteins (45 and 23%) were involved in processes related to protein biosynthesis. We also identified three genes/proteins involved in chromatin modification. Enzymes responsible for opening up chromatin, Hmgn3 and Hmgb1, were upregulated whereas enzymes that condense chromatin, histone H1.2, were downregulated. Genes and proteins that promote cell growth (Igfbp4, Ptma, S100a6, and Lgals3) were downregulated, whereas those that deter cell growth (Ccng2, Gsg2, and S100a11) were upregulated. Other main groups of genes and proteins include carbohydrate metabolism, signal transduction, and transport. Our findings show that an integrated genomic and proteomics approach can be effectively utilized to monitor transcriptional and posttranscriptional events of mammalian cells in culture.

Zinc as an insulin replacement in hybridoma cultures.

There are many advantages to the use of protein-free media for biologics production, including a reduced risk of viral contamination from animal-derived proteins and simplification of downstream purification. In the course of developing protein-free media for hybridoma and myeloma cells, zinc was found to be an effective replacement for insulin, with no negative impact on viable cell density and antibody production. Transcript profiling using DNA microarrays indicated no major change in the global expression profile between the insulin and zinc-supplemented cultures, which is consistent with their similar growth and metabolic characteristics. Both DNA microarray and quantitative RT-PCR analysis showed increase in insulin receptor substrate 1 (Irs1) expression in zinc-supplemented cultures, while several key genes downstream of Irs1 in the insulin-signaling pathway, such as protein kinase B (PKB/Akt) and 3-phosphoinositide dependent protein kinase 1 (Pdpk1) did not show significant differences at the transcript level. Comparison of transcript profiles from cultures with low versus optimal zinc supplementation implicated the involvement of the insulin-related genes Pax6 and Phas1. Subtle differences were also observed between insulin and zinc in the serine-473 phosphorylation of Akt. Zinc increased serine-473 phosphorylation of Akt, but to a lesser extent than insulin. The phosphoinositide 3-kinase (PI3K) inhibitor, wortmannin, totally blocked the effect of both zinc and insulin on Akt activation, indicating the involvement of PI3K in the activation of Akt by zinc, rather than zinc acting on Akt directly. Our results highlight the impact of trace metal supplementation as protein-free media formulations move towards greater chemical definition.