Amino acid balancing for the prediction and evaluation of protein concentrations in cell-free protein synthesis systems.

Autor: Rolf J; Department of Biochemical and Chemical Engineering, Chair for Bioprocess Engineering, TU Dortmund University, Dortmund, Germany., Handke J; Department of Biochemical and Chemical Engineering, Chair for Bioprocess Engineering, TU Dortmund University, Dortmund, Germany., Burzinski F; Department of Biochemical and Chemical Engineering, Chair for Bioprocess Engineering, TU Dortmund University, Dortmund, Germany., Lütz S; Department of Biochemical and Chemical Engineering, Chair for Bioprocess Engineering, TU Dortmund University, Dortmund, Germany., Rosenthal K; School of Science, Constructor University, Bremen, Germany.
Jazyk: angličtina
Zdroj: Biotechnology progress [Biotechnol Prog] 2023 Nov-Dec; Vol. 39 (6), pp. e3373. Date of Electronic Publication: 2023 Jul 05.
DOI: 10.1002/btpr.3373
Abstrakt: Cell-free protein synthesis (CFPS) systems are an attractive method to complement the usual cell-based synthesis of proteins, especially for screening approaches. The literature describes a wide variety of CFPS systems, but their performance is difficult to compare since the reaction components are often used at different concentrations. Therefore, we have developed a calculation tool based on amino acid balancing to evaluate the performance of CFPS by determining the fractional yield as the ratio between theoretically achievable and experimentally achieved protein molar concentration. This tool was applied to a series of experiments from our lab and to various systems described in the literature to identify systems that synthesize proteins very efficiently and those that still have potential for higher yields. The well-established Escherichia coli system showed a high efficiency in the utilization of amino acids, but interestingly, less considered systems, such as those based on Vibrio natriegens or Leishmania tarentolae, also showed exceptional fractional yields of over 70% and 90%, respectively, implying very efficient conversions of amino acids. The methods and tools described here can quickly identify when a system has reached its maximum or has limitations. We believe that this approach will facilitate the evaluation and optimization of existing CFPS systems and provides the basis for the systematic development of new CFPS systems.
(© 2023 The Authors. Biotechnology Progress published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.)
Databáze: MEDLINE
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