A dual-reporter system for investigating and optimizing protein translation and folding in E. coli

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A dual-reporter system for investigating and optimizing protein translation and folding in E. coli. / Zutz, Ariane; Hamborg, Louise; Pedersen, Lasse Ebdrup; Kassem, Maher M.; Papaleo, Elena; Koza, Anna; Herrgård, Markus J.; Ingemann Jensen, Sheila; Teilum, Kaare; Lindorff-Larsen, Kresten; Nielsen, Alex Toftgaard.

I: Nature Communications, Bind 12, 6093, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Zutz, A, Hamborg, L, Pedersen, LE, Kassem, MM, Papaleo, E, Koza, A, Herrgård, MJ, Ingemann Jensen, S, Teilum, K, Lindorff-Larsen, K & Nielsen, AT 2021, 'A dual-reporter system for investigating and optimizing protein translation and folding in E. coli', Nature Communications, bind 12, 6093. https://doi.org/10.1038/s41467-021-26337-1

APA

Zutz, A., Hamborg, L., Pedersen, L. E., Kassem, M. M., Papaleo, E., Koza, A., Herrgård, M. J., Ingemann Jensen, S., Teilum, K., Lindorff-Larsen, K., & Nielsen, A. T. (2021). A dual-reporter system for investigating and optimizing protein translation and folding in E. coli. Nature Communications, 12, [6093]. https://doi.org/10.1038/s41467-021-26337-1

Vancouver

Zutz A, Hamborg L, Pedersen LE, Kassem MM, Papaleo E, Koza A o.a. A dual-reporter system for investigating and optimizing protein translation and folding in E. coli. Nature Communications. 2021;12. 6093. https://doi.org/10.1038/s41467-021-26337-1

Author

Zutz, Ariane ; Hamborg, Louise ; Pedersen, Lasse Ebdrup ; Kassem, Maher M. ; Papaleo, Elena ; Koza, Anna ; Herrgård, Markus J. ; Ingemann Jensen, Sheila ; Teilum, Kaare ; Lindorff-Larsen, Kresten ; Nielsen, Alex Toftgaard. / A dual-reporter system for investigating and optimizing protein translation and folding in E. coli. I: Nature Communications. 2021 ; Bind 12.

Bibtex

@article{6a9e1cb34b3b42ebafb4e70f308dd153,
title = "A dual-reporter system for investigating and optimizing protein translation and folding in E. coli",
abstract = "Strategies for investigating and optimizing the expression and folding of proteins for biotechnological and pharmaceutical purposes are in high demand. Here, we describe a dual-reporter biosensor system that simultaneously assesses in vivo protein translation and protein folding, thereby enabling rapid screening of mutant libraries. We have validated the dual-reporter system on five different proteins and find an excellent correlation between reporter signals and the levels of protein expression and solubility of the proteins. We further demonstrate the applicability of the dual-reporter system as a screening assay for deep mutational scanning experiments. The system enables high throughput selection of protein variants with high expression levels and altered protein stability. Next generation sequencing analysis of the resulting libraries of protein variants show a good correlation between computationally predicted and experimentally determined protein stabilities. We furthermore show that the mutational experimental data obtained using this system may be useful for protein structure calculations.",
author = "Ariane Zutz and Louise Hamborg and Pedersen, {Lasse Ebdrup} and Kassem, {Maher M.} and Elena Papaleo and Anna Koza and Herrg{\aa}rd, {Markus J.} and {Ingemann Jensen}, Sheila and Kaare Teilum and Kresten Lindorff-Larsen and Nielsen, {Alex Toftgaard}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
doi = "10.1038/s41467-021-26337-1",
language = "English",
volume = "12",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - A dual-reporter system for investigating and optimizing protein translation and folding in E. coli

AU - Zutz, Ariane

AU - Hamborg, Louise

AU - Pedersen, Lasse Ebdrup

AU - Kassem, Maher M.

AU - Papaleo, Elena

AU - Koza, Anna

AU - Herrgård, Markus J.

AU - Ingemann Jensen, Sheila

AU - Teilum, Kaare

AU - Lindorff-Larsen, Kresten

AU - Nielsen, Alex Toftgaard

N1 - Publisher Copyright: © 2021, The Author(s).

PY - 2021

Y1 - 2021

N2 - Strategies for investigating and optimizing the expression and folding of proteins for biotechnological and pharmaceutical purposes are in high demand. Here, we describe a dual-reporter biosensor system that simultaneously assesses in vivo protein translation and protein folding, thereby enabling rapid screening of mutant libraries. We have validated the dual-reporter system on five different proteins and find an excellent correlation between reporter signals and the levels of protein expression and solubility of the proteins. We further demonstrate the applicability of the dual-reporter system as a screening assay for deep mutational scanning experiments. The system enables high throughput selection of protein variants with high expression levels and altered protein stability. Next generation sequencing analysis of the resulting libraries of protein variants show a good correlation between computationally predicted and experimentally determined protein stabilities. We furthermore show that the mutational experimental data obtained using this system may be useful for protein structure calculations.

AB - Strategies for investigating and optimizing the expression and folding of proteins for biotechnological and pharmaceutical purposes are in high demand. Here, we describe a dual-reporter biosensor system that simultaneously assesses in vivo protein translation and protein folding, thereby enabling rapid screening of mutant libraries. We have validated the dual-reporter system on five different proteins and find an excellent correlation between reporter signals and the levels of protein expression and solubility of the proteins. We further demonstrate the applicability of the dual-reporter system as a screening assay for deep mutational scanning experiments. The system enables high throughput selection of protein variants with high expression levels and altered protein stability. Next generation sequencing analysis of the resulting libraries of protein variants show a good correlation between computationally predicted and experimentally determined protein stabilities. We furthermore show that the mutational experimental data obtained using this system may be useful for protein structure calculations.

U2 - 10.1038/s41467-021-26337-1

DO - 10.1038/s41467-021-26337-1

M3 - Journal article

C2 - 34667164

AN - SCOPUS:85113144928

VL - 12

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 6093

ER -

ID: 283214592