Evidence map›Paper›PMID 38580785›Full record

ArticleScientific reports2024

FAST, a method based on split-GFP for the detection in solution of proteins synthesized in cell-free expression systems.

Thuy Duong Pham, Chiara Poletti, Therese Manuela Nloh Tientcheu, Massimiliano Cuccioloni, Roberto Spurio, Attilio Fabbretti, Pohl Milon, Anna Maria Giuliodori

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Thuy Duong PhamLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy.
Chiara PolettiLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy.
Therese Manuela Nloh TientcheuLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy.
Massimiliano CuccioloniLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy.
Roberto SpurioLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy.
Attilio FabbrettiLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy.
Pohl MilonLaboratory of Biomolecules, Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru.
Anna Maria GiuliodoriLaboratory of Genetics of Microorganisms and Microbial Biotechnology, School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, MC, Italy. annamaria.giuliodori@unicam.it.
Università di Camerino · ITPeruvian University of Applied Sciences · PE

Funding

Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica PE501079419-2022HORIZON EUROPE Marie Sklodowska-Curie Actions 872869
6 · The paper itself

Abstract

Cell-free protein synthesis (CFPS) systems offer a versatile platform for a wide range of applications. However, the traditional methods for detecting proteins synthesized in CFPS, such as radioactive labeling, fluorescent tagging, or electrophoretic separation, may be impractical, due to environmental hazards, high costs, technical complexity, and time consuming procedures. These limitations underscore the need for new approaches that streamline the detection process, facilitating broader application of CFPS. By harnessing the reassembly capabilities of two GFP fragments-specifically, the GFP1-10 and GFP11 fragments-we have crafted a method that simplifies the detection of in vitro synthesized proteins called FAST (Fluorescent Assembly of Split-GFP for Translation Tests). FAST relies on the fusion of the small tag GFP11 to virtually any gene to be expressed in CFPS. The in vitro synthesized protein:GFP11 can be rapidly detected in solution upon interaction with an enhanced GFP1-10 fused to the Maltose Binding Protein (MBP:GFP1-10). This interaction produces a fluorescent signal detectable with standard fluorescence readers, thereby indicating successful protein synthesis. Furthermore, if required, detection can be coupled with the purification of the fluorescent complex using standardized MBP affinity chromatography. The method's versatility was demonstrated by fusing GFP11 to four distinct E. coli genes and analyzing the resulting protein synthesis in both a homemade and a commercial E. coli CFPS system. Our experiments confirmed that the FAST method offers a direct correlation between the fluorescent signal and the amount of synthesized protein:GFP11 fusion, achieving a sensitivity threshold of 8 ± 2 pmol of polypeptide, with fluorescence plateauing after 4 h. Additionally, FAST enables the investigation of translation inhibition by antibiotics in a dose-dependent manner. In conclusion, FAST is a new method that permits the rapid, efficient, and non-hazardous detection of protein synthesized within CFPS systems and, at the same time, the purification of the target protein.

Indexed as

Coloring AgentsEscherichia coliFluorescenceGreen Fluorescent ProteinsColoring AgentsGreen Fluorescent ProteinsCFPSCspAFluorescenceProtein synthesisSplit-GFP

Identifiers

PMID38580785
PMCPMC10997616
OpenAlexW4393994648

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LicenceCC BY
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Registered trials

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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.