Streamlining N-terminally anchored yeast surface display via structural insights into S. cerevisiae Pir proteins.


Journal

Microbial cell factories
ISSN: 1475-2859
Titre abrégé: Microb Cell Fact
Pays: England
ID NLM: 101139812

Informations de publication

Date de publication:
07 Sep 2023
Historique:
received: 21 07 2023
accepted: 18 08 2023
medline: 11 9 2023
pubmed: 8 9 2023
entrez: 7 9 2023
Statut: epublish

Résumé

Surface display co-opts yeast's innate ability to embellish its cell wall with mannoproteins, thus converting the yeast's outer surface into a growing and self-sustaining catalyst. However, the efficient toolbox for converting the enzyme of interest into its surface-displayed isoform is currently lacking, especially if the isoform needs to be anchored to the cell wall near the isoform's N-terminus, e.g., through a short GPI-independent protein anchor. Aiming to advance such N-terminally anchored surface display, we employed in silico and machine-learning strategies to study the 3D structure, function, genomic organisation, and evolution of the Pir protein family, whose members evolved to covalently attach themselves near their N-terminus to the β-1,3-glucan of the cell wall. Through the newly-gained insights, we rationally engineered 14 S. cerevisiae Hsp150 (Pir2)-based fusion proteins. We quantified their performance, uncovering guidelines for efficient yeast surface display while developing a construct that promoted a 2.5-fold more efficient display of a reporter protein than the full-length Hsp150. Moreover, we developed a Pir-tag, i.e., a peptide spanning only 4.5 kDa but promoting as efficient surface display of a reporter protein as the full-length Hsp150. These constructs fortify the existing surface display toolbox, allowing for a prompt and routine refitting of intracellular proteins into their N-terminally anchored isoforms.

Identifiants

pubmed: 37679759
doi: 10.1186/s12934-023-02183-2
pii: 10.1186/s12934-023-02183-2
pmc: PMC10483737
doi:

Substances chimiques

Saccharomyces cerevisiae Proteins 0
Glucans 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

174

Subventions

Organisme : The Croatian Science Foundation
ID : IP-2019-04-2891

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Tea Martinić Cezar (T)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Mateja Lozančić (M)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Ana Novačić (A)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Ana Matičević (A)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Dominik Matijević (D)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Béatrice Vallée (B)

Centre de Biophysique Moléculaire (CBM), CNRS, University of Orléans and INSERM, Orléans Cedex 2, UPR, 4301, 45071, France.

Vladimir Mrša (V)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Renata Teparić (R)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia.

Bojan Žunar (B)

Laboratory for Biochemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, 10000, Croatia. bojan.zunar@pbf.unizg.hr.

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Classifications MeSH