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


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
19 10 2021
Historique:
received: 13 01 2020
accepted: 01 10 2021
entrez: 20 10 2021
pubmed: 21 10 2021
medline: 1 12 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34667164
doi: 10.1038/s41467-021-26337-1
pii: 10.1038/s41467-021-26337-1
pmc: PMC8526717
doi:

Substances chimiques

Escherichia coli Proteins 0
Luminescent Proteins 0
Green Fluorescent Proteins 147336-22-9

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6093

Informations de copyright

© 2021. The Author(s).

Références

Costa, S., Almeida, A., Castro, A. & Domingues, L. Fusion tags for protein solubility, purification, and immunogenicity in Escherichia coli: the novel Fh8 system. Front. Microbiol. 5, 1–20 (2014).
doi: 10.3389/fmicb.2014.00063
Marblestone, J. G. et al. Comparison of SUMO fusion technology with traditional gene fusion systems: enhanced expression and solubility with SUMO. Protein Sci. 15, 182–189 (2006).
pubmed: 16322573 pmcid: 2242369 doi: 10.1110/ps.051812706
Carson, M., Johnson, D. H., McDonald, H., Brouillette, C. & DeLucas, L. J. His-tag impact on structure. Acta Crystallogr. Sect. D. Biol. Crystallogr. 63, 295–301 (2007).
doi: 10.1107/S0907444906052024
Yu, C. H. et al. Codon Usage Influences the Local Rate of Translation Elongation to Regulate Co-translational Protein Folding. Mol. Cell 59, 744–754 (2015).
pubmed: 26321254 pmcid: 4561030 doi: 10.1016/j.molcel.2015.07.018
Zhang, G., Hubalewska, M. & Ignatova, Z. Transient ribosomal attenuation coordinates protein synthesis and co-translational folding. Nat. Struct. Mol. Biol. 16, 274–280 (2009).
pubmed: 19198590 doi: 10.1038/nsmb.1554
Komar, A. A., Lesnik, T. & Reiss, C. Synonymous codon substitutions affect ribosome traffic and protein folding during in vitro translation. FEBS Lett. 462, 387–391 (1999).
pubmed: 10622731 doi: 10.1016/S0014-5793(99)01566-5
Sørensen, H. P. & Mortensen, K. K. Advanced genetic strategies for recombinant protein expression in Escherichia coli. J. Biotechnol. 115, 113–128 (2005).
pubmed: 15607230 doi: 10.1016/j.jbiotec.2004.08.004
Sørensen, H. P., Sperling-Petersen, H. U. & Mortensen, K. K. Production of recombinant thermostable proteins expressed in Escherichia coli: completion of protein synthesis is the bottleneck. J. Chromatogr. B. Anal. Technol. Biomed. Life Sci. 786, 207–14 (2003).
doi: 10.1016/S1570-0232(02)00689-X
Kurland, C. & Gallant, J. Errors of heterologous protein expression. Curr. Opin. Biotechnol. 7, 489–93 (1996).
pubmed: 8939626 doi: 10.1016/S0958-1669(96)80050-4
Humbard, M. A., Surkov, S., De Donatis, G. M., Jenkins, L. M. & Maurizi, M. R. The N-degradome of Escherichia coli: Limited proteolysis in vivo generates a large pool of proteins bearing N-degrons. J. Biol. Chem. 288, 28913–28924 (2013).
pubmed: 23960079 pmcid: 3789986 doi: 10.1074/jbc.M113.492108
Andersen, J. B. et al. New Unstable Variants of Green Fluorescent Protein for Studies of Transient Gene Expression in Bacteria. Appl. Environ. Microbiol. 64, 2240–2246 (1998).
pubmed: 9603842 pmcid: 106306 doi: 10.1128/AEM.64.6.2240-2246.1998
Gorochowski, T. E., Ignatova, Z., Bovenberg, R. A. L. & Roubos, J. A. Trade-offs between tRNA abundance and mRNA secondary structure support smoothing of translation elongation rate. Nucleic Acids Res. 43, 3022–3032 (2015).
pubmed: 25765653 pmcid: 4381083 doi: 10.1093/nar/gkv199
Cambray, G., Guimaraes, J. C. & Arkin, A. P. Evaluation of 244,000 synthetic sequences reveals design principles to optimize translation in Escherichia coli. Nat. Biotechnol. 36, 1005–1015 (2018).
pubmed: 30247489 doi: 10.1038/nbt.4238
Chiti, F. et al. Kinetic partitioning of protein folding and aggregation. Nat. Struct. Biol. 9, 137–143 (2002).
pubmed: 11799398 doi: 10.1038/nsb752
Goldenzweig, A. et al. Automated Structure- and Sequence-Based Design of Proteins for High Bacterial Expression and Stability. Mol. Cell 63, 337–346 (2016).
pubmed: 27425410 pmcid: 4961223 doi: 10.1016/j.molcel.2016.06.012
Shih, Y. et al. High-throughput screening of soluble recombinant proteins. Protein Sci. 11, 1714–1719 (2002).
pubmed: 12070324 pmcid: 2373646 doi: 10.1110/ps.0205202
Vincentelli, R., Canaan, S., Offant, J., Cambillau, C. & Bignon, C. Automated expression and solubility screening of His-tagged proteins in 96-well format. Anal. Biochem. 346, 77–84 (2005).
pubmed: 16168382 doi: 10.1016/j.ab.2005.07.039
Nguyen, H., Martinez, B., Oganesyan, N. & Kim, R. An automated small-scale protein expression and purification screening provides beneficial information for protein production. J. Struct. Funct. Genom. 5, 23–27 (2004).
doi: 10.1023/B:JSFG.0000029195.73810.86
Waldo, G. S., Standish, B. M., Berendzen, J. & Terwilliger, T. C. Rapid protein-folding assay using green fluorescent protein. Nat. Biotechnol. 17, 691–695 (1999).
pubmed: 10404163 doi: 10.1038/10904
Sachsenhauser, V. & Bardwell, J. C. Directed evolution to improve protein folding in vivo. Curr. Opin. Struct. Biol. 48, 117–123 (2018).
pubmed: 29278775 doi: 10.1016/j.sbi.2017.12.003
Klesmith, J. R., Bacik, J.-P., Wrenbeck, E. E., Michalczyk, R. & Whitehead, T. A. Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning. Proc. Natl Acad. Sci. 114, 2265–2270 (2017).
pubmed: 28196882 pmcid: 5338495 doi: 10.1073/pnas.1614437114
Foit, L. et al. Optimizing protein stability in vivo. Mol. Cell 36, 861–871 (2009).
pubmed: 20005848 pmcid: 2818778 doi: 10.1016/j.molcel.2009.11.022
Araya, C. L. et al. A fundamental protein property, thermodynamic stability, revealed solely from large-scale measurements of protein function. Proc. Natl Acad. Sci. 109, 16858–16863 (2012).
pubmed: 23035249 pmcid: 3479514 doi: 10.1073/pnas.1209751109
Wang, Z. et al. Coupled selection of protein solubility in E. coli using uroporphyrinogen III methyltransferase as red fluorescent reporter. J. Biotechnol. 186, 169–174 (2014).
pubmed: 24998762 doi: 10.1016/j.jbiotec.2014.06.025
Maxwell, K. L., Mittermaier, A. K., Forman-kay, J. D. & Davidson, A. R. A simple in vivo assay for increased protein solubility. Protein Sci. 8, 1908–1911 (1999).
pubmed: 10493593 pmcid: 2144404 doi: 10.1110/ps.8.9.1908
Ren, C., Wen, X., Mencius, J. & Quan, S. An enzyme-based biosensor for monitoring and engineering protein stability in vivo. Proc. Natl Acad. Sci. U. S. A. 118, e2101618118 (2021).
pubmed: 33753520 pmcid: 8020752 doi: 10.1073/pnas.2101618118
Lesley, S. A., Graziano, J., Cho, C. Y., Knuth, M. W. & Klock, H. E. Gene expression response to misfolded protein as a screen for soluble recombinant protein. Protein Eng. 15, 153–160 (2002).
pubmed: 11917152 doi: 10.1093/protein/15.2.153
Kraft, M. et al. An online monitoring system based on a synthetic sigma32-dependent tandem promoter for visualization of insoluble proteins in the cytoplasm of Escherichia coli. Appl. Genet. Mol. Biotechnol. 75, 397–406 (2007).
Schultz, T., Martinez, L. & de Marco, A. The evaluation of the factors that cause aggregation during recombinant expression in E. coli is simplified by the employment of an aggregation-sensitive reporter. Microb. Cell Fact. 5, 1–9 (2006).
doi: 10.1186/1475-2859-5-28
Mendez-Perez, D., Gunasekaran, S., Orler, V. J. & Pfleger, B. F. A translation-coupling DNA cassette for monitoring protein translation in Escherichia coli. Metab. Eng. 14, 298–305 (2012).
pubmed: 22575266 doi: 10.1016/j.ymben.2012.04.005
Fowler, D. M. & Fields, S. Deep mutational scanning: a new style of protein science. Nat. Methods 11, 801–7 (2014).
pubmed: 25075907 pmcid: 4410700 doi: 10.1038/nmeth.3027
Allen, S. P., Polazzi, J. O., Gierse, J. K. & Easton, A. M. Two Novel Heat Shock Genes Encoding Proteins Produced in Response to Heterologous Protein Expression in Escherichia coli. J. Bacteriol. 174, 6938–6947 (1992).
pubmed: 1356969 pmcid: 207373 doi: 10.1128/jb.174.21.6938-6947.1992
Chuang, S.-E., Burland, V., Plunkett, G., Daniels, D. L. & Blattner, F. R. Sequence analysis of four new heat-shock genes constituting the hslTS/ibpAB and hslVU operons in Escherichia coli. Gene 134, 1–6 (1993).
pubmed: 8244018 doi: 10.1016/0378-1119(93)90167-2
Zhao, K., Liu, M. & Burgess, R. R. The Global Transcriptional Response of Escherichia coli to Induced σ32 Protein Involves σ32 Regulon Activation Followed by Inactivation and Degradation of σ32 in vivo. J. Biol. Chem. 280, 17758–17768 (2005).
pubmed: 15757896 doi: 10.1074/jbc.M500393200
Silva-Rocha, R. et al. The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes. Nucleic Acids Res. 41, 666–675 (2013).
doi: 10.1093/nar/gks1119
Grossman, A. D., Straus, D. B., Walter, W. A. & Gross, C. A. Sigma32 synthesis can regulate the synthesis of heat shock proteins in Escherichia coli. Genes Dev. 1, 179–184 (1987).
pubmed: 3315848 doi: 10.1101/gad.1.2.179
Langelier, M., Planck, J. L., Servent, K. M. & Pascal, J. M. Purification of Human PARP-1 and PARP-1 Domains from Escherichia coli for structural and Biochemical Analysis. Methods Mol. Biol. 780, 209–226 (2011).
pubmed: 21870263 doi: 10.1007/978-1-61779-270-0_13
Rowling, P. J. E., Cook, R. & Itzhaki, L. S. Toward Classification of BRCA1 Missense Variants Using a Biophysical Approach. J. Biol. Chem. 285, 20080–20087 (2010).
pubmed: 20378548 pmcid: 2888420 doi: 10.1074/jbc.M109.088922
Luh, F. Y. et al. Structure of the cyclin-dependent kinase inhibitor p19Ink4d. Nature 389, 999–1003 (1997).
pubmed: 9353127 doi: 10.1038/40202
Zanier, K. et al. Formation of well-defined soluble aggregates upon fusion to MBP is a generic property of E6 proteins from various human papillomavirus species. Protein Expr. Purif. 51, 59–70 (2007).
pubmed: 17055740 doi: 10.1016/j.pep.2006.07.029
Itzhaki, L. S., Otzen, D. E. & Fersht, A. R. The Structure of the Transition State for Folding of Chymotrypsin Inhibitor 2 Analysed by Protein Engineering Methods: Evidence for a Nucleation-condensation Mechanism for Protein Folding. J. Mol. Biol. 254, 260–288 (1995).
pubmed: 7490748 doi: 10.1006/jmbi.1995.0616
Jackson, S. E. & Fersht, A. R. Folding of Chymotrypsin Inhibitor 2. 1. Evidence for a Two-State Transition. Biochemistry 30, 10428–10435 (1991).
pubmed: 1931967 doi: 10.1021/bi00107a010
Rubin, A. F. et al. A statistical framework for analyzing deep mutational scanning data. Genom. Biol. 18, 1–15 (2017).
doi: 10.1186/s13059-017-1272-5
Guerois, R., Nielsen, J. E. & Serrano, L. Predicting Changes in the Stability of Proteins and Protein Complexes: a Study of More Than 1000 Mutations. J. Mol. Biol. 320, 369–387 (2002).
pubmed: 12079393 doi: 10.1016/S0022-2836(02)00442-4
Raman, S. et al. Structure prediction for CASP8 with all-atom refinement using Rosetta. Proteins 77, 89–99 (2009).
pubmed: 19701941 pmcid: 3688471 doi: 10.1002/prot.22540
Adkar, B. V. et al. Protein Model Discrimination Using Mutational Sensitivity Derived from Deep Sequencing. Structure 20, 371–381 (2012).
pubmed: 22325784 doi: 10.1016/j.str.2011.11.021
Zhang, S., Zubay, G. & Goldman, E. Low-usage codons in Escherichia coli, yeast, fruit fly and primates. Gene 105, 61–72 (1991).
pubmed: 1937008 doi: 10.1016/0378-1119(91)90514-C
Van Durme, J. et al. Accurate Prediction of DnaK-Peptide Binding via Homology Modelling and Experimental Data. PLoS Comput. Biol. 5, e1000475 (2009).
pubmed: 19696878 pmcid: 2717214 doi: 10.1371/journal.pcbi.1000475
Johansson, K. E., Lindorff-Larsen, K. & Winther, J. R. Global analysis of multi-mutants to discover stabilizing amino acid substitutions. bioRxiv (2020). https://doi.org/10.1101/2020.12.03.408732 .
Hamborg, L. et al. Synergistic stabilization of a double mutant in chymotrypsin inhibitor 2 from a library screen in E. coli. Commun Biol. 4, 980 (2021).
pubmed: 34408246 pmcid: 8373930 doi: 10.1038/s42003-021-02490-7
Sarkisyan, K. S. et al. Local fitness landscape of the green fluorescent protein. Nature 533, 397–401 (2016).
pubmed: 27193686 pmcid: 4968632 doi: 10.1038/nature17995
Otwinowski, J. Biophysical Inference of Epistasis and the Effects of Mutations on Protein Stability and Function. Mol. Biol. Evol. 35, 2345–2354 (2018).
pubmed: 30085303 pmcid: 6188545 doi: 10.1093/molbev/msy141
Nisthal, A., Wang, C. Y., Ary, M. L. & Mayo, S. L. Protein stability engineering insights revealed by domain-wide comprehensive mutagenesis. Proc. Natl Acad. Sci. U. S. A. 116, 16367–16377 (2019).
pubmed: 31371509 pmcid: 6697890 doi: 10.1073/pnas.1903888116
Schmiedel, J. M. & Lehner, B. Determining protein structures using deep mutagenesis. Nat. Genet. 51, 1177–1186 (2019).
pubmed: 31209395 pmcid: 7610650 doi: 10.1038/s41588-019-0431-x
Rollins, N. J. et al. Inferring protein 3D structure from deep mutation scans. Nat. Genet. 51, 1170–1176 (2019).
pubmed: 31209393 pmcid: 7295002 doi: 10.1038/s41588-019-0432-9
Tokuriki, N., Stricher, F., Schymkowitz, J., Serrano, L. & Tawfik, D. S. The Stability Effects of Protein Mutations Appear to be Universally Distributed. J. Mol. Biol. 369, 1318–1332 (2007).
pubmed: 17482644 doi: 10.1016/j.jmb.2007.03.069
Beadle, B. M. & Shoichet, B. K. Structural bases of Stability-function Tradeoffs in Enzymes. J. Mol. Biol. 321, 285–296 (2002).
pubmed: 12144785 doi: 10.1016/S0022-2836(02)00599-5
Shoichet, B. K., Baase, W. A., Kuroki, R. & Matthews, B. W. A relationship between protein stability and protein function. Proc. Natl Acad. Sci. U. S. A. 92, 452–456 (1995).
pubmed: 7831309 pmcid: 42758 doi: 10.1073/pnas.92.2.452
Butt, T. R., Edavettal, S. C., Hall, J. P. & Mattern, M. R. SUMO fusion technology for difficult-to-express proteins. Protein Expr. Purif. 43, 1–9 (2005).
pubmed: 16084395 pmcid: 7129290 doi: 10.1016/j.pep.2005.03.016
Davis, G. D., Elisee, C., Newham, D. M. & Harrison, R. G. New Fusion Protein Systems Designed to Give Soluble Expression in Escherichia coli. Biotechnol. Bioeng. 65, 382–388 (1999).
pubmed: 10506413 doi: 10.1002/(SICI)1097-0290(19991120)65:4<382::AID-BIT2>3.0.CO;2-I
Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of Image Analysis. Nat. Methods 9, 671–675 (2012).
pubmed: 22930834 pmcid: 5554542 doi: 10.1038/nmeth.2089
Magoč, T. & Salzberg, S. L. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27, 2957–2963 (2011).
pubmed: 21903629 pmcid: 3198573 doi: 10.1093/bioinformatics/btr507
Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–360 (2012).
pubmed: 22388286 pmcid: 3322381 doi: 10.1038/nmeth.1923
Hamborg, L. et al. Global analysis of protein stability by temperature and chemical denaturation. Anal. Biochem. 605, 113863 (2020).
pubmed: 32738214 doi: 10.1016/j.ab.2020.113863
Zutz, A. et al. (2021): Data for the publication “A dual-reporter system for investigating and optimizing protein translation and folding in E. coli”. Technical University of Denmark. Collection. https://doi.org/10.11583/DTU.c.5633536.v1 .

Auteurs

Ariane Zutz (A)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark.

Louise Hamborg (L)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark.
Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200, Copenhagen N, Denmark.

Lasse Ebdrup Pedersen (LE)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark.

Maher M Kassem (MM)

Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200, Copenhagen N, Denmark.

Elena Papaleo (E)

Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200, Copenhagen N, Denmark.

Anna Koza (A)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark.

Markus J Herrgård (MJ)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark.

Sheila Ingemann Jensen (SI)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark.

Kaare Teilum (K)

Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200, Copenhagen N, Denmark.

Kresten Lindorff-Larsen (K)

Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200, Copenhagen N, Denmark.

Alex Toftgaard Nielsen (AT)

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Kgs, Lyngby, Denmark. atn@biosustain.dtu.dk.

Articles similaires

T-Lymphocytes, Regulatory Lung Neoplasms Proto-Oncogene Proteins p21(ras) Animals Humans

Pathogenic mitochondrial DNA mutations inhibit melanoma metastasis.

Spencer D Shelton, Sara House, Luiza Martins Nascentes Melo et al.
1.00
DNA, Mitochondrial Humans Melanoma Mutation Neoplasm Metastasis
Databases, Protein Protein Domains Protein Folding Proteins Deep Learning

Prevalence and implications of fragile X premutation screening in Thailand.

Areerat Hnoonual, Sunita Kaewfai, Chanin Limwongse et al.
1.00
Humans Fragile X Mental Retardation Protein Thailand Male Female

Classifications MeSH