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Translatome analysis of CHO cells to identify key growth genes

Paper ID Volume ID Publish Year Pages File Format Full-Text
23516 43444 2013 10 PDF Available
Title
Translatome analysis of CHO cells to identify key growth genes
Abstract

•First use of the translatomic platform in CHO cell culture.•New strategy to identify and prioritize cellular growth biomarkers.•Large decoupling between transcript level and translation efficiency.•Translatome data toward bridging the gap between transcriptome and proteome.

We report the first investigation of translational efficiency on a global scale, also known as translatome, of a Chinese hamster ovary (CHO) DG44 cell line producing monoclonal antibodies (mAb). The translatome data was generated via combined use of high resolution and streamlined polysome profiling technology and proprietary Nimblegen microarrays probing for more than 13 K annotated CHO-specific genes. The distribution of ribosome loading during the exponential growth phase revealed the translational activity corresponding to the maximal growth rate, thus allowing us to identify stably and highly translated genes encoding heterogeneous nuclear ribonucleoproteins (Hnrnpc and Hnrnpa2b1), protein regulator of cytokinesis 1 (Prc1), glucose-6-phosphate dehydrogenase (G6pdh), UTP6 small subunit processome (Utp6) and RuvB-like protein 1 (Ruvbl1) as potential key players for cellular growth. Moreover, correlation analysis between transcriptome and translatome data sets showed that transcript level and translation efficiency were uncoupled for 95% of investigated genes, suggesting the implication of translational control mechanisms such as the mTOR pathway. Thus, the current translatome analysis platform offers new insights into gene expression in CHO cell cultures by bridging the gap between transcriptome and proteome data, which will enable researchers of the bioprocessing field to prioritize in high-potential candidate genes and to devise optimal strategies for cell engineering toward improving culture performance.

Keywords
Translatome; CHO cells; Polysome profiling; Cellular growth
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 167, Issue 3, 10 September 2013, Pages 215–224
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us