Kallehauge et al. 2016 (PRJNA316065)
General Details
Title | Ribosome profiling-guided depletion of an mRNA improves CHO cell growth and recombinant product titers |
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Organism | |
Number of Samples | 12 |
Release Date | 2016/03/23 00:00 |
Sequencing Types | |
Protocol Details |
Study Links
GWIPS-viz | Trips-Viz |
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Repository Details
SRA | SRP072205 |
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ENA | SRP072205 |
GEO | GSE79512 |
BioProject | PRJNA316065 |
Publication
Title | |
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Authors | Kallehauge TB, Li S, Pedersen LE, Ha TK, Ley D, Andersen MR, Kildegaard HF, Lee GM, Lewis NE |
Journal | Scientific reports |
Publication Date | 2017 Jan 16 |
Abstract | Recombinant protein production coopts the host cell machinery to provide high protein yields of industrial enzymes or biotherapeutics. However, since protein translation is energetically expensive and tightly controlled, it is unclear if highly expressed recombinant genes are translated as efficiently as host genes. Furthermore, it is unclear how the high expression impacts global translation. Here, we present the first genome-wide view of protein translation in an IgG-producing CHO cell line, measured with ribosome profiling. Through this we found that our recombinant mRNAs were translated as efficiently as the host cell transcriptome, and sequestered up to 15% of the total ribosome occupancy. During cell culture, changes in recombinant mRNA translation were consistent with changes in transcription, demonstrating that transcript levels influence specific productivity. Using this information, we identified the unnecessary resistance marker NeoR to be a highly transcribed and translated gene. Through siRNA knock-down of NeoR, we improved the production- and growth capacity of the host cell. Thus, ribosomal profiling provides valuable insights into translation in CHO cells and can guide efforts to enhance protein production. |
PMC | PMC5238448 |
PMID | 28091612 |
DOI |
Run Accession | Study Accession | Scientific Name | Cell Line | Library Type | Treatment | GWIPS-viz | Trips-Viz | Reads | BAM | BigWig (F) | BigWig (R) | ||
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SRR3284449 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284450 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284451 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284452 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284453 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284454 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284461 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284462 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284463 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284464 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284465 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
SRR3284466 | PRJNA316065 | Cricetulus griseus | 0.0 | Ribo-Seq | 0.0 | ||||||||
Run Accession | Study Accession | Scientific Name | Cell Line | Library Type | Treatment | GWIPS-viz | Trips-Viz | Reads | BAM | BigWig (F) | BigWig (R) |
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