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Cited by 517

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

A cell-free protein synthesis system for high-throughput proteomics

Open access
Sawasaki, Tatsuya, Ogasawara, Tomio, Morishita, Ryo, Endo, Yaeta·2002·Proceedings of the National Academy of Sciences

Abstract

We report a cell-free system for the high-throughput synthesis and screening of gene products. The system, based on the eukaryotic translation apparatus of wheat seeds, has significant advantages over other commonly used cell-free expression systems. To maximize the yield and throughput of the system, we optimized the mRNA UTRs, designed an expression vector for large-scale protein production, and developed a new strategy to construct PCR-generated DNAs for high-throughput production of many proteins in parallel. The resulting system achieves high-yield expression and can maintain productive translation for 14 days. Additionally, in the integration of a PCR-directed system for template creation, at least 50 genes can be translated in parallel, yielding between 0.1 and 2.3 mg of protein by one person within 2 days. Assessment of correct protein folding by the products of this high-throughput protein-expression system were performed by enzymatic assays of kinases and by NMR spectroscopic analysis. The cell-free system, reported here, bypasses many of the time-consuming cloning steps of conventional expression systems and lends itself to a robotic automation for the high-throughput expression of proteins.

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Metadata

Authors
Sawasaki, T., Ogasawara, T., Morishita, R., & Endo, Y.
Venue
Proceedings of the National Academy of Sciences
Published
2002-10-30
Volume
99
Issue
23
Pages
14652-14657
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2121553505
Cited by
517
References
23
FWCI
7.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A cell-free protein synthesis system for high-throughput proteomics. https://app.cochat.ai/papers/10.1073/pnas.232580399
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Sawasaki, T., Ogasawara, T., Morishita, R., & Endo, Y. (2002). A cell-free protein synthesis system for high-throughput proteomics. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.232580399

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.