Change of insulin-like growth factor gene expression in Chinese hamster ovary cells cultured in serum-free media

Transcriptome analyses of CHO cells with the next-generation microarray CHO41K: development and validation by analysing the influence of the growth stimulating substance IGF-1 substitute LongR(3.)

The increasing importance of Chinese hamster ovary (CHO) cells for the production of pharmaceutical proteins has awakened the demand to understand the cellular metabolism of these cells. However, satisfactory gene expression studies have yet been impractical due to insufficient coverage of sequences. In this work, previously determined sequence information of CHO cells and newly derived data from 454 and Illumina sequencing was used to establish the CHO41K microarray which contains 41,304 probes. Self-hybridisation was performed for replica determination and samples were run in triplicates to increase statistical power. For determination of technical variance, confidence intervals at an M-value of ±0.6 for 95% and at ±2.3 for 99% of the probes were calculated. Intra-microarray and slide to slide variance was not detectable. In a first application, this microarray enabled an in-depth look inside the cellular transcriptome of CHO cells cultured in the presence or absence of the growth supporting substance "insulin like growth factor 1" (IGF-1) analogue LongR(3). Its effect on the cells ranged from enhanced growth to delay of cell death as well as cytoskeletal installation. Suggesting that under supplementation, a minimised cellular effort in installation of a large cytoskeleton occurs, possibly in favour of promoting faster cell division.

Dynamic mRNA and miRNA profiling of CHO-K1 suspension cell cultures

In spite of the importance of Chinese hamster ovary (CHO) cells for recombinant protein production, very little is known about the molecular and gene regulatory mechanisms that control cellular phenotypes such as enhanced growth under serum-free conditions or high productivity. Most microarray analyses to this purpose are performed with samples taken during the exponential growth phase. However, the cellular transcriptome is dynamic, changing in response to external and internal stimuli and thus reflecting the current functional capacity of cells as well as their ability to adapt to a changing environment. Therefore, during batch or fed-batch cultivations it can be expected that the transcription pattern of genes will change and that such changes may give indications on the cellular state in terms of viability, growth, and productivity. In the current study we monitored the change in expression patterns of mRNAs and microRNAs (miRNA) during lag, exponential, and stationary phases in CHO-K1 suspension cell cultures. In total, over 1400 mRNAs and more than 100 miRNAs were differentially regulated (p<0.05) relative to the batch culture at the starting point. Functional clustering revealed groups of genes with similar expression patterns, which were subjected to functional pathway analysis. In addition, as miRNAs generally act as negative post-transcriptional regulators of mRNAs, we looked for changes in their expression that were inverse to those of their predicted target mRNAs.