Evidence map›Paper›PMID 40909620›Full record

ArticlebioRxiv : the preprint server for biology2025

One-pot cloning and protein expression platform for genetic engineering.

Wakana Sato, Judee Sharon, Brock Cash, Christopher Deich, Nathaniel J Gaut, Joseph Heili, Aaron E Engelhart, Katarzyna P Adamala

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wakana SatoDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Judee SharonDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Brock CashDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Christopher DeichDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Nathaniel J GautDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Joseph HeiliDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Aaron E EngelhartDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.
Katarzyna P AdamalaDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN US.

Funding

Development of new tags for RNA visualizationR01GM152459 · NIGMS · UNIVERSITY OF MINNESOTA · PI Aaron E. Engelhart · 2024 to 2026
$1.1M
NIGMS NIH HHS R01 GM152459
6 · The paper itself

Abstract

In this work, we present a streamlined one-pot cloning and protein expression platform that integrates mutagenesis, plasmid assembly, and functional protein testing in a single reaction. By combining Golden Gate cloning with cell-free transcription-translation, we demonstrate efficient generation and screening of genetic variants without the need for intermediate purification or bacterial amplification. Using fluorescent proteins, luciferase enzymes, antibiotic-converting enzymes, and the violacein biosynthetic pathway, we validate the versatility of this approach for single- and multi-site mutagenesis, combinatorial variant libraries, metabolic pathway programming, and whole-plasmid assembly. By demonstrating compatibility with multiplexed reactions and multi-cistronic constructs, we establish this approach as a generalizable and automatable method for high-throughput cloning and protein engineering in synthetic biology.

Identifiers

PMID40909620
PMCPMC12407826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.