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A Modular Cloning System for Standardized Assembly of Multigene Constructs

Open access
Weber, Ernst, Engler, Carola, Gruetzner, Ramona, Werner, Stefan, Marillonnet, Sylvestre·2011·PLoS ONE

Abstract

The field of synthetic biology promises to revolutionize biotechnology through the design of organisms with novel phenotypes useful for medicine, agriculture and industry. However, a limiting factor is the ability of current methods to assemble complex DNA molecules encoding multiple genetic elements in various predefined arrangements. We present here a hierarchical modular cloning system that allows the creation at will and with high efficiency of any eukaryotic multigene construct, starting from libraries of defined and validated basic modules containing regulatory and coding sequences. This system is based on the ability of type IIS restriction enzymes to assemble multiple DNA fragments in a defined linear order. We constructed a 33 kb DNA molecule containing 11 transcription units made from 44 individual basic modules in only three successive cloning steps. This modular cloning (MoClo) system can be readily automated and will be extremely useful for applications such as gene stacking and metabolic engineering.

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Metadata

Authors
Weber, E., Engler, C., Gruetzner, R., Werner, S., & Marillonnet, S.
Venue
PLoS ONE
Published
2011-02-18
Volume
6
Issue
2
Pages
e16765
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1970893992
Cited by
1,377
References
19
FWCI
9.99
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Modular Cloning System for Standardized Assembly of Multigene Constructs. https://app.cochat.ai/papers/10.1371/journal.pone.0016765
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Weber, E., Engler, C., Gruetzner, R., Werner, S., & Marillonnet, S. (2011). A Modular Cloning System for Standardized Assembly of Multigene Constructs. PLoS ONE. https://doi.org/10.1371/journal.pone.0016765

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.