Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion

Cited 56 time in webofscience Cited 0 time in scopus
  • Hit : 208
  • Download : 0
In mammalian cells, >25% of synthesized proteins are exported through the secretory pathway. The pathway complexity, however, obfuscates its impact on the secretion of different proteins. Unraveling its impact on diverse proteins is particularly important for biopharmaceutical production. Here we delineate the core secretory pathway functions and integrate them with genome-scale metabolic reconstructions of human, mouse, and Chinese hamster ovary cells. The resulting reconstructions enable the computation of energetic costs and machinery demands of each secreted protein. By integrating additional omics data, we find that highly secretory cells have adapted to reduce expression and secretion of other expensive host cell proteins. Furthermore, we predict metabolic costs and maximum productivities of biotherapeutic proteins and identify protein features that most significantly impact protein secretion. Finally, the model successfully predicts the increase in secretion of a monoclonal antibody after silencing a highly expressed selection marker. This work represents a knowledgebase of the mammalian secretory pathway that serves as a novel tool for systems biotechnology.
Publisher
NATURE PUBLISHING GROUP
Issue Date
2020-01
Language
English
Article Type
Article
Citation

NATURE COMMUNICATIONS, v.11, no.1, pp.1 - 10

ISSN
2041-1723
DOI
10.1038/s41467-019-13867-y
URI
http://hdl.handle.net/10203/286001
Appears in Collection
BS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 56 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0