Evidence map›Paper›PMID 35850511›Full record

ArticleACS synthetic biology2022

Characterizing a New Fluorescent Protein for a Low Limit of Detection Sensing in the Cell-Free System.

Caroline E Copeland, Jeehye Kim, Pearce L Copeland, Chloe J Heitmeier, Yong-Chan Kwon

Open access · hybridAbstract read
In one paragraph

Article in ACS synthetic biology, 2022. 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
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Rapid and Finely-Tuned Expression for Deployable Sensing Applications.Advances in biochemical engineering/biotechnology · 2023
    Article
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

5 authors at 1 institution in 1 country.

Caroline E CopelandDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
Jeehye KimDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
Pearce L CopelandDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
Chloe J HeitmeierDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
Yong-Chan KwonDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.ORCID 0000-0002-7551-6007
Louisiana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free protein synthesis-based biosensors have been developed as highly accurate, low-cost biosensors. However, since most biomarkers exist at low concentrations in various types of biopsies, the biosensor's dynamic range must be increased in the system to achieve low limits of detection necessary while deciphering from higher background signals. Many attempts to increase the dynamic range have relied on amplifying the input signal from the analyte, which can lead to complications of false positives. In this study, we aimed to increase the protein synthesis capability of the cell-free protein synthesis system and the output signal of the reporter protein to achieve a lower limit of detection. We utilized a new fluorescent protein, mNeonGreen, which produces a higher output than those commonly used in cell-free biosensors. Optimizations of DNA sequence and the subsequent cell-free protein synthesis reaction conditions allowed characterizing protein expression variability by given DNA template types, reaction environment, and storage additives that cause the greatest time constraint on designing the cell-free biosensor. Finally, we characterized the fluorescence kinetics of mNeonGreen compared to the commonly used reporter protein, superfolder green fluorescent protein. We expect that this finely tuned cell-free protein synthesis platform with the new reporter protein can be used with sophisticated synthetic gene circuitry networks to increase the dynamic range of a cell-free biosensor to reach lower detection limits and reduce the false-positive proportion.

Indexed as

Biosensing TechniquesCell-Free SystemGreen Fluorescent ProteinsLimit of DetectionGreen Fluorescent Proteinsbiosensorcell-free protein synthesisfluorescent proteingene circuitlow limit of detectionmNeonGreen

Identifiers

PMID35850511
PMCPMC9396652
OpenAlexW4285793950

What OpenQuestion holds

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LicenceCC BY
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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.