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Chinese Hamster Ovary (CHO) cells are aneuploid in nature. The genome of recombinant protein producing CHO cell lines continuously undergoes changes in its structure and organization. We analyzed nine cell lines, including parental cell lines, using a comparative genomic hybridization (CGH) array focused on gene-containing regions. The comparison of CGH with copy-number estimates from sequencing data showed good correlation. Hierarchical clustering of the gene copy number variation data from CGH data revealed the lineage relationships between the cell lines. On analyzing the clones of a clonal population, some regions with altered genomic copy number status were identified indicating genomic changes during passaging. A CGH array is thus an effective tool in quantifying genomic alterations in industrial cell lines and can provide insights into the changes in the genomic structure during cell line derivation and long term culture. Biotechnol. Bioeng. 2017;114: 1903-1908. © 2017 Wiley Periodicals, Inc.

Chinese hamster Ovary (CHO) cell lines are the dominant industrial workhorses for therapeutic recombinant protein production. The availability of genome sequence of Chinese hamster and CHO cells will spur further genome and RNA sequencing of producing cell lines. However, the mammalian genomes assembled using shot-gun sequencing data still contain regions of uncertain quality due to assembly errors. Identifying high confidence regions in the assembled genome will facilitate its use for cell engineering and genome engineering. We assembled two independent drafts of Chinese hamster genome by de novo assembly from shotgun sequencing reads and by re-scaffolding and gap-filling the draft genome from NCBI for improved scaffold lengths and gap fractions. We then used the two independent assemblies to identify high confidence regions using two different approaches. First, the two independent assemblies were compared at the sequence level to identify their consensus regions as "high confidence regions" which accounts for at least 78 % of the assembled genome. Further, a genome wide comparison of the Chinese hamster scaffolds with mouse chromosomes revealed scaffolds with large blocks of collinearity, which were also compiled as high-quality scaffolds. Genome scale collinearity was complemented with EST based synteny which also revealed conserved gene order compared to mouse. As cell line sequencing becomes more commonly practiced, the approaches reported here are useful for assessing the quality of assembly and potentially facilitate the engineering of cell lines.

Transcriptomics is increasingly being used on Chinese hamster ovary (CHO) cells to unveil physiological insights related to their performance during production processes. The rich transcriptome data can be exploited to provide impetus for systems investigation such as modeling the central carbon metabolism or glycosylation pathways, or even building genome-scale models. To harness the power of transcriptome assays, we assembled and annotated a set of RNA-Seq data from multiple CHO cell lines and Chinese hamster tissues, and constructed a DNA microarray. The identity of genes involved in major functional pathways and their transcript levels generated in this study will serve as a reference for future studies employing kinetic models. In particular, the data on glycolysis and glycosylation pathways indicate that the variability of gene expression level among different cell lines and tissues may contribute to their differences in metabolism and glycosylation patterns. Thereby, these insights can potentially lead to opportunities for cell engineering. This repertoire of transcriptome data also enables the identification of potential sequence variants in cell lines and allows tracing of cell lineages. Overall the study is an illustration of the potential benefit of RNA-Seq that is yet to be exploited.

Chinese Hamster Ovary (CHO) cells are aneuploid in nature. The genome of recombinant protein producing CHO cell lines continuously undergoes changes in its structure and organization. We analyzed nine cell lines, including parental cell lines, using a comparative genomic hybridization (CGH) array focused on gene-containing regions. The comparison of CGH with copy-number estimates from sequencing data showed good correlation. Hierarchical clustering of the gene copy number variation data from CGH data revealed the lineage relationships between the cell lines. On analyzing the clones of a clonal population, some regions with altered genomic copy number status were identified indicating genomic changes during passaging. A CGH array is thus an effective tool in quantifying genomic alterations in industrial cell lines and can provide insights into the changes in the genomic structure during cell line derivation and long term culture. Biotechnol. Bioeng. 2017;114: 1903-1908. © 2017 Wiley Periodicals, Inc.

Transcriptomics is increasingly being used on Chinese hamster ovary (CHO) cells to unveil physiological insights related to their performance during production processes. The rich transcriptome data can be exploited to provide impetus for systems investigation such as modeling the central carbon metabolism or glycosylation pathways, or even building genome-scale models. To harness the power of transcriptome assays, we assembled and annotated a set of RNA-Seq data from multiple CHO cell lines and Chinese hamster tissues, and constructed a DNA microarray. The identity of genes involved in major functional pathways and their transcript levels generated in this study will serve as a reference for future studies employing kinetic models. In particular, the data on glycolysis and glycosylation pathways indicate that the variability of gene expression level among different cell lines and tissues may contribute to their differences in metabolism and glycosylation patterns. Thereby, these insights can potentially lead to opportunities for cell engineering. This repertoire of transcriptome data also enables the identification of potential sequence variants in cell lines and allows tracing of cell lineages. Overall the study is an illustration of the potential benefit of RNA-Seq that is yet to be exploited.

Baby Hamster Kidney (BHK) cell lines are used in the production of veterinary vaccines and recombinant proteins. To facilitate transcriptome analysis of BHK cell lines, we embarked on an effort to sequence, assemble, and annotate transcript sequences from a recombinant BHK cell line and Syrian hamster liver and brain. RNA-seq data were supplemented with 6,170 Sanger ESTs from parental and recombinant BHK lines to generate 221,583 contigs. Annotation by homology to other species, primarily mouse, yielded more than 15,000 unique Ensembl mouse gene IDs with high coverage of KEGG canonical pathways. High coverage of enzymes and isoforms was seen for cell metabolism and N-glycosylation pathways, areas of highest interest for biopharmaceutical production. With the high sequencing depth in RNA-seq data, we set out to identify single-nucleotide variants in the transcripts. A majority of the high-confidence variants detected in both hamster tissue libraries occurred at a frequency of 50%, indicating their origin as heterozygous germline variants. In contrast, the cell line libraries' variants showed a wide range of occurrence frequency, indicating the presence of a heterogeneous population in cultured cells. The extremely high coverage of transcripts of highly abundant genes in RNA-seq enabled us to identify low-frequency variants. Experimental verification through Sanger sequencing confirmed the presence of two variants in the cDNA of a highly expressed gene in the BHK cell line. Furthermore, we detected seven potential missense mutations in the genes of the growth signaling pathways that may have arisen during the cell line derivation process. The development and characterization of a BHK reference transcriptome will facilitate future efforts to understand, monitor, and manipulate BHK cells. Our study on sequencing variants is crucial for improved understanding of the errors inherent in high-throughput sequencing and to increase the accuracy of variant calling in BHK or other systems.

MicroRNAs (miRNAs), a class of short (20–24 nt) non-coding RNAs that direct post-transcriptional repression of messenger RNAs, increasingly have been shown to play a key role in regulating cellular physiology. We investigated the prevalence of miRNAs in Chinese hamster ovary (CHO) cells by high-throughput sequencing. Six cDNA libraries of small RNAs from four CHO cell lines were constructed and sequenced by Illumina sequencing. Three hundred fifty distinct miRNA and miRNA* sequences were identified through homology with other species, including mouse, rat, and human. While the majority of the identified miRNAs appear to be expressed ubiquitously, many miRNAs were found to have a wide range of expression levels between cell lines. The identification of these miRNAs will facilitate investigations of their contribution to the hyperproductivity trait. Biotechnol. Bioeng. 2011;108: 475–480. © 2010 Wiley Periodicals, Inc.

Evidence linking soluble aggregation intermediates of the amyloid-beta protein (A beta), as well as the ongoing growth of A beta aggregates, to physiological responses characteristic of Alzheimer's disease (AD) indicates that a kinetic description A beta aggregation intermediate growth may be fundamental to understanding disease progression. Although the growth of mature A beta fibrils has been investigated using several experimental platforms, the growth of A beta aggregation intermediates has been less thoroughly explored. In the current study, a quartz crystal microbalance (QCM) was employed to analyze the real-time growth of A beta(1-40) aggregation intermediates selectively immobilized on the crystal surface. Immobilization permitted quantitative evaluation of A beta(1-40) aggregation intermediate growth under controlled solution conditions. Elongation of A beta(1-40) aggregation intermediates via monomer addition proceeded in a nonsaturable and reversible fashion. The rate of elongation was observed to vary linearly with both monomer concentration and immobilized aggregate density, to be elevated by increases in solution ionic strength, and to increase as solution pH became more acidic. Elongation was consistent with a first-order kinetic model for the single growth phase observed. These findings extend previous kinetic studies involving the growth of mature A beta fibrils to describe the growth of A beta(1-40) aggregation intermediates via monomer addition.