Bioreactor cultivation of CHO DP-12 cells under sodium butyrate treatment – comparative transcriptome analysis with CHO cDNA microarrays

BackgroundSodium butyrate (NaBu) is not only known to inhibitproliferation but also to increase the specific productiv-ity in cultivation of Chinese hamster ovary (CHO) cells[1] – the most commonly used mammalian cell line forpharmaceutical protein production [2]. So far, little isknown about the underlying mechanisms and genes thatare affected by butyrate treatment. Besides the proteo-mic approach to unravel proteins involved in the pro-cesses, the analysis of transcriptomes presents anotherpromising method. Here we show an application of ourCHO cDNA microarray to identify genes associatedwith increased productivity during cultivation of CHOcells under sodium butyrate treatment.Materials and methodsFour batch cultivations of CHO DP-12 cells (clone #1934, ATCC CRL-12445) were performed in 2 L bior-eactor systems under pO

Bioreactor cultivation of CHO DP-12 cells under sodium butyrate treatmentcomparative transcriptome analysis with CHO cDNA microarrays Sandra Klausing * † , Oliver Krämer † , Thomas Noll Background Sodium butyrate (NaBu) is not only known to inhibit proliferation but also to increase the specific productivity in cultivation of Chinese hamster ovary (CHO) cells [1] the most commonly used mammalian cell line for pharmaceutical protein production [2]. So far, little is known about the underlying mechanisms and genes that are affected by butyrate treatment. Besides the proteomic approach to unravel proteins involved in the processes, the analysis of transcriptomes presents another promising method. Here we show an application of our CHO cDNA microarray to identify genes associated with increased productivity during cultivation of CHO cells under sodium butyrate treatment.

Materials and methods
Four batch cultivations of CHO DP-12 cells (clone # 1934, ATCC CRL-12445) were performed in 2 L bioreactor systems under pO 2 -and pH-controlled conditions. In the exponential growth phase, 67 hours after inoculation, 2 mM sodium butyrate was added to three processes. The fourth was left untreated to function as control culture. Samples were taken before and then repeatedly after the addition of butyrate. RNA was isolated from cell pellets of 5·10 6 cells using TRIzol ® Reagent (Invitrogen). For subsequent cDNA labeling, the Agilent Low-Input QuickAmp Labeling Kit (Agilent Technologies) was used. The custom designed 2 x 105 k cDNA microarray (Agilent Technologies) was spotted with 94,580 probes designed from CHO cDNA sequenced in-house. 38,310 of 41,039 sequenced contigs were used for the microarray, each covered by 2-4 probes [3]. Data analysis was done with ArrayLims, EMMA, and SAMS, three CeBiTec based software tools [4]. The raw data gathered by the microarray experiments were processed by standard Agilent background normalization and subsequent lowess normalization.

Results
The control culture reached a maximum viable cell density of 1·10 7 cells/mL while NaBu treated cells reached a plateau at about 6·10 6 cells/mL and retained a viability above 90 % four days longer than untreated cells ( Figure 1A). The three biological replicates of NaBu cultures yielded results with similar general trends. The maximum antibody concentration of the control culture was 110 mg/L whereas cells treated with NaBu reached a maximum of 175 mg/L antibody. 72 hours after addition of NaBu the specific antibody production rate was increased by a factor of 3.6 (NaBu culture: 4.5 pg/(cell·d)) compared to control culture (1.2 pg/(cell·d)).
Of this time point, samples were analyzed in microarray experiments. A significance test with FDR control (α=0.05) was carried out for the four technical replicates (including two dye-swaps) of the microarray. For analysis, the following filtering settings were chosen to identify differentially expressed genes: adjusted p-value ≤ 0.05, log-ratio < -1 or > 1 (equals fold change < -2 or > 2) and log-intensity ≥ 6 (equals ≥ 64 raw intensity). From a total of 1461 genes found to be differentially expressed under NaBu treatment, 771 genes were upregulated and 690 genes were downregulated (derived from EC numbers in KEGG pathways, Figure 1B). Many differentially expressed genes from pathways involved in carbohydrate, lipid, amino acid and glycan metabolism are upregulated which is most likely linked to higher productivity. A large portion of genes from pathways associated with cell growth and death are downregulated and most of these genes originate from cell cycle processes. This correlates with reports of cell cycle arrest under NaBu treatment [1]. Some examples of regulated genes are shown in Table 1.

Conclusions
Microarray analysis revealed a high number of regulated genes under sodium butyrate treatment in pathways like carbohydrate metabolism, cell cycle and signal transduction. Some of the regulated genes are promising targets for overexpression or knockdown/knockout experiments and we will further investigate the knockdown effect of selected genes using a siRNA approach in CHO cells. Our in-house microarray is suitable for further transcriptomic analysis of CHO cells under various conditions.