ArticleScientific reports2017
Ribosome profiling-guided depletion of an mRNA increases cell growth rate and protein secretion.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 65 citations in OpenAlex.
- Deciphering the determinants of recombinant protein expression across the human secretome.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Detection of host cell microprotein impurities in antibody drug products.Nature communications · 2024Article
- Harnessing secretory pathway differences between HEK293 and CHO to rescue production of difficult to express proteins.Metabolic engineering · 2022Article
- Antibiotic-Efficient Genetic Cassette for the TEM-1 β-Lactamase That Improves Plasmid Performance.ACS synthetic biology · 2022Article
- Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii.Microbial cell factories · 2021Article
- PTSelect™: A post-transcriptional technology that enables rapid establishment of stable CHO cell lines and surveillance of clonal variation.Journal of biotechnology · 2021Article
- Decoupling Growth and Protein Production in CHO Cells: A Targeted Approach.Frontiers in bioengineering and biotechnology · 2021Article
- CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines.PLoS computational biology · 2020Article
- Characterization and mitigation of gene expression burden in mammalian cells.Nature communications · 2020Article
- Multiplex secretome engineering enhances recombinant protein production and purity.Nature communications · 2020Article
- Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion.Nature communications · 2020Article
- Directed evolution approach to enhance efficiency and speed of outgrowth during single cell subcloning of Chinese Hamster Ovary cells.Computational and structural biotechnology journal · 2020Article
- Proteogenomic Annotation of Chinese Hamsters Reveals Extensive Novel Translation Events and Endogenous Retroviral Elements.Journal of proteome research · 2019Article
- Single Copy Transgene Integration in a Transcriptionally Active Site for Recombinant Protein Synthesis.Biotechnology journal · 2018Article
- The emerging role of systems biology for engineering protein production in CHO cells.Current opinion in biotechnology · 2018Review
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Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.