Sign in
BiochemistryLife Science Alliance
Peer-reviewed journal article

4G cloning: rapid gene assembly for expression of multisubunit protein complexes in diverse hosts

Michael TaschneriD, Joe Bradley DickinsoniD, Florian Roisné-HameliniD, Stephan GruberiD

Abstract

Multi-subunit protein complexes are at the heart of many cellular processes, and studying their biochemical activities and structures in vitro requires their reconstitution by recombinant expression and purification. Obtaining targets at sufficient purity and scale typically requires the screening of several protein variants and expression hosts. Existing cloning strategies allow to produce constructs for co-expression of proteins, but are often time-consuming, labour-intensive, host-specific, or involving error-prone assembly steps. Here we present a unique set of vectors together with a novel assembly strategy designed to overcome these limitations. It allows for the generation of expression constructs for multi-subunit protein complexes for various hosts in a single cloning step. Its modular nature allows the system to be easily extended to target additional expression hosts or to include new tags or regulatory sequences. As a proof of principle, we present the parallel construction of expression vectors for several Structural Maintenance of Chromosomes (SMC) complexes, allowing us to devise strategies for the recombinant production of these targets in bacteria, insect cells, and human cells, respectively. This work will help laboratories working on protein complexes to streamline their workflow, increase their productivity and improve the quality of the purified material.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
5
FWCI
0.58
Field percentile
top 40%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZhai '17Lai '25Bentham '21Sato '25Snead '22Emrich-Mill '20
63% semantic matchBioengineering
Yujia Zhai, Danyang Zhang, Leiye Yu+2 more·bioRxiv·Nov 14, 2017