Evidence map›Paper›PMID 32108285›Full record

ArticleMolecular biotechnology2020

HriGFP Novel Flourescent Protein: Expression and Applications.

Salma Saeed, Hira Mehreen, Umut Gerlevik, Aamira Tariq, Saira Manzoor, Zobia Noreen, Ugur Sezerman, Habib Bokhari

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Article in Molecular biotechnology, 2020. 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
–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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Salma SaeedDepartment of Biosciences, Comsats University Islamabad Campus, Islamabad, Pakistan.
Hira MehreenDepartment of Biosciences, Comsats University Islamabad Campus, Islamabad, Pakistan.
Umut GerlevikDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Acibadem University, Istanbul, Turkey.
Aamira TariqDepartment of Biosciences, Comsats University Islamabad Campus, Islamabad, Pakistan.
Saira ManzoorDepartment of Biosciences, Comsats University Islamabad Campus, Islamabad, Pakistan.
Zobia NoreenDepartment of Biosciences, Comsats University Islamabad Campus, Islamabad, Pakistan.
Ugur SezermanDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Acibadem University, Istanbul, Turkey.
Habib BokhariDepartment of Biosciences, Comsats University Islamabad Campus, Islamabad, Pakistan. habib@comsats.edu.pk.ORCID http://orcid.org/0000-0003-3962-3320

Funding

Higher Education Commision, Pakistan 20-347 /NRPU/R&D/HEC/2014/1360
6 · The paper itself

Abstract

Biosensors based on microbial cells have been developed to monitor environmental pollutants. These biosensors serve as inexpensive and convenient alternatives to the conventional lab based instrumental analysis of environmental pollutants. Small monomeric naturally occurring fluorescent proteins (fp) can be exploited by converting them as small biosensing devices for biomedical and environmental applications. Moreover, they can withstand exposure to denaturants, high temperature, and a wide pH range variation. The current study employs newly identified novel fluorescent protein HriGFP from Hydnophora rigida to detect environmental contaminants like heavy metals and organo-phosphorous (pesticide) compounds such as methyl parathion. The HriGFP was initially tested or its expression in bacterial systems (Gram positive and Gram negative) and later on for its biosensing capability in E coli (BL21DE3) for detection of heavy metals and methyl parathion was evaluated. Our results indicated the discrete and stable expression of HriGFP and a profound fluorescent quenching were observed in the presence of heavy metals (Hg, Cu, As) and methyl parathion. Structural analysis revealed heavy metal ions binding to HriGFP via amino acid residues. In-silico-analysis further revealed strong interaction via hydrogen bonds between methyl parathion phosphate oxygen atoms and the amino group of Arg119 of HriGFP. This study implies that HriGFP can act as a biosensor for detecting harmful carcinogenic pesticide like methyl parathion in water resources in the vicinity of heavily pesticide impregnated agricultural lands and heavy metal contaminated water bodies around industrial areas.

Indexed as

AnimalsAnthozoaBacillus megateriumBinding SitesBiosensing TechniquesEscherichia coliHydrogen BondingLuminescent ProteinsMetals, HeavyModels, MolecularOrganophosphorus CompoundsLuminescent ProteinsMetals, HeavyOrganophosphorus CompoundsBiosensorDockingFluorescent proteinsHriGFP

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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.