Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression profiling of Chinese Hamster Ovary production cell lines


ABSTRACT: The dataset set consists of 295 microarrays from 121 individual CHO cultures producing a range of biologics including monoclonal antibodies, fusion proteins and therapeutic factors; non-producing cell lines were also included. Samples were taken from a wide range of process scales and formats that varied in terms of seeding density, temperature, medium, feed medium, culture duration and product type. Cells were sampled for gene expression analysis at various stages of the culture and bioprocess-relevant characteristics including cell density, growth rate, viability, lactate, ammonium and cell specific productivity (Qp) were determined A total of 295 microarray samples were assayed. In addition 9 continous bioprocess variables were also measured.

ORGANISM(S): Cricetulus griseus

SUBMITTER: Colin Clarke 

PROVIDER: E-GEOD-30321 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Large scale microarray profiling and coexpression network analysis of CHO cells identifies transcriptional modules associated with growth and productivity.

Clarke Colin C   Doolan Padraig P   Barron Niall N   Meleady Paula P   O'Sullivan Finbarr F   Gammell Patrick P   Melville Mark M   Leonard Mark M   Clynes Martin M  

Journal of biotechnology 20110727 3


Weighted gene coexpression network analysis (WGCNA) was utilised to explore Chinese hamster ovary (CHO) cell transcriptome patterns associated with bioprocess relevant phenotypes. The dataset set used in this study consisted of 295 microarrays from 121 individual CHO cultures producing a range of biologics including monoclonal antibodies, fusion proteins and therapeutic factors; non-producing cell lines were also included. Samples were taken from a wide range of process scales and formats that v  ...[more]

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