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Estimating the protein burden limit of yeast cells by measuring the expression limits of glycolytic proteins.
Eguchi, Yuichi; Makanae, Koji; Hasunuma, Tomohisa; Ishibashi, Yuko; Kito, Keiji; Moriya, Hisao.
Afiliación
  • Eguchi Y; Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.
  • Makanae K; Research Core for Interdisciplinary Sciences, Okayama University, Okayama, Japan.
  • Hasunuma T; Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan.
  • Ishibashi Y; Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, Japan.
  • Kito K; Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, Japan.
  • Moriya H; Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.
Elife ; 72018 08 10.
Article en En | MEDLINE | ID: mdl-30095406
ABSTRACT
The ultimate overexpression of a protein could cause growth defects, which are known as the protein burden. However, the expression limit at which the protein-burden effect is triggered is still unclear. To estimate this limit, we systematically measured the overexpression limits of glycolytic proteins in Saccharomyces cerevisiae. The limits of some glycolytic proteins were up to 15% of the total cellular protein. These limits were independent of the proteins' catalytic activities, a finding that was supported by an in silico analysis. Some proteins had low expression limits that were explained by their localization and metabolic perturbations. The codon usage should be highly optimized to trigger the protein-burden effect, even under strong transcriptional induction. The S-S-bond-connected aggregation mediated by the cysteine residues of a protein might affect its expression limit. Theoretically, only non-harmful proteins could be expressed up to the protein-burden limit. Therefore, we established a framework to distinguish proteins that are harmful and non-harmful upon overexpression.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Regulación Fúngica de la Expresión Génica / Biología Computacional / Proteínas de Saccharomyces cerevisiae / Disulfuros / Glucólisis Idioma: En Revista: Elife Año: 2018 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Regulación Fúngica de la Expresión Génica / Biología Computacional / Proteínas de Saccharomyces cerevisiae / Disulfuros / Glucólisis Idioma: En Revista: Elife Año: 2018 Tipo del documento: Article País de afiliación: Japón