Evidence map›Paper›PMID 40130802›Full record

ArticleProtein science : a publication of the Protein Society2025

A suite of pre-assembled, pET28b-based Golden Gate vectors for efficient protein engineering and expression.

Deepika Gaur, Matthew L Wohlever

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Deepika GaurDepartment of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Matthew L WohleverDepartment of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-9406-3410

Funding

Mechanistic Investigation of Proteostasis at the Outer Mitochondrial MembraneR35GM137904 · NIGMS · UNIVERSITY OF TOLEDO · PI Matthew Lee Wohlever · 2020 to 2026
$2.6M
NIGMS NIH HHS R35 GM137904NIH HHS R35GM137904
6 · The paper itself

Abstract

Expression and purification of recombinant proteins in Escherichia coli is a bedrock technique in biochemistry and molecular biology. Expression optimization requires testing different combinations of solubility tags, affinity purification techniques, and site-specific proteases. This optimization is laborious and time-consuming as these features are spread across different vector series and require different cloning strategies with varying efficiencies. Modular cloning kits based on the Golden Gate system exist, but they are not optimized for protein biochemistry and are overly complicated for many applications, such as undergraduate research or simple screening of protein purification features. An ideal solution is for a single gene synthesis or PCR product to be compatible with a large series of pre-assembled Golden Gate vectors containing a broad array of purification features at either the N or C terminus. To our knowledge, no such system exists. To fulfill this unmet need, we Golden Gate domesticated the pET28b vector and developed a suite of 21 vectors with different combinations of purification tags, solubility domains, visualization/labeling tags, and protease sites. We also developed a vector series with nine different N-terminal tags and no C-terminal cloning scar. The system is modular, allowing users to easily customize the vectors with their preferred combinations of features. To allow for easy visual screening of cloned vectors, we optimized constitutive expression of the fluorescent protein mScarlet3 in the reverse strand, resulting in a red to white color change upon successful cloning. Testing with the model protein sfGFP shows the ease of visual screening, high efficiency of cloning, and robust protein expression. These vectors provide versatile, high-throughput solutions for protein engineering and functional studies in E. coli.

Indexed as

Escherichia coliGenetic VectorsProtein EngineeringCloning, MolecularGene ExpressionRecombinant ProteinsRecombinant ProteinscloningGolden Gateprotein engineeringprotein expression

Identifiers

PMID40130802
PMCPMC11934214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.