Engineering Bacillus subtilis as a Versatile and Stable Platform for Production of Nanobodies.

Bacillus subtilis monoclonal antibodies nanobody protein secretion recombinant-protein production spores synthetic biology

Journal

Applied and environmental microbiology
ISSN: 1098-5336
Titre abrégé: Appl Environ Microbiol
Pays: United States
ID NLM: 7605801

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 17 12 2019
accepted: 11 02 2020
pubmed: 16 2 2020
medline: 21 10 2020
entrez: 16 2 2020
Statut: epublish

Résumé

There is a growing need for a highly stable system to allow the production of biologics for diagnoses and therapeutic interventions on demand that could be used in extreme environments. Among the variety of biologics, nanobodies (Nbs) derived from single-chain variable antibody fragments from camelids have attracted great attention in recent years due to their small size and great stability with translational potentials in whole-body imaging and the development of new drugs. Intracellular expression using the bacterium

Identifiants

pubmed: 32060024
pii: AEM.02938-19
doi: 10.1128/AEM.02938-19
pmc: PMC7117931
pii:
doi:

Substances chimiques

Single-Domain Antibodies 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2020 American Society for Microbiology.

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Auteurs

Mengdi Yang (M)

Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA.

Ge Zhu (G)

Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA.

George Korza (G)

Department of Molecular Biology and Biophysics, UCONN Health, Farmington, Connecticut, USA.

Xin Sun (X)

Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA.

Peter Setlow (P)

Department of Molecular Biology and Biophysics, UCONN Health, Farmington, Connecticut, USA.

Jiahe Li (J)

Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA jiah.li@northeastern.edu.

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Classifications MeSH