Evidence map›Paper›PMID 31375744›Full record

ArticleScientific reports2019

Engineering genetically encoded FRET-based nanosensors for real time display of arsenic (As

Neha Soleja, Ovais Manzoor, Parvez Khan, Mohd Mohsin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Genetically encoded fluorescent sensors for metals in biology.Current opinion in chemical biology · 2023
    Review
  5. Article
  6. Article
  7. Fluorescent Indicators For Biological Imaging of Monatomic Ions.Frontiers in cell and developmental biology · 2022
    Review
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Neha SolejaDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
Ovais ManzoorDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
Parvez KhanCentre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New Delhi, 110025, India.ORCID http://orcid.org/0000-0002-8566-0248
Mohd MohsinDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India. mmohsin1@jmi.ac.in.
Jamia Millia Islamia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic poisoning has been a major concern that causes severe toxicological damages. Therefore, intricate and inclusive understanding of arsenic flux rates is required to ascertain the cellular concentration and establish the carcinogenetic mechanism of this toxicant at real time. The lack of sufficiently sensitive sensing systems has hampered research in this area. In this study, we constructed a fluorescent resonance energy transfer (FRET)-based nanosensor, named SenALiB (Sensor for Arsenic Linked Blackfoot disease) which contains a metalloregulatory arsenic-binding protein (ArsR) as the As

Indexed as

ArsenicArsenic PoisoningBacterial ProteinsBiosensing TechniquesFluorescence Resonance Energy TransferFluorescent DyesGreen Fluorescent ProteinsHEK293 CellsHumansIntravital MicroscopyLuminescent ProteinsMicroscopy, FluorescenceMutagenesis, Site-DirectedMutationNanostructuresSensitivity and SpecificityArsenicBacterial Proteinsenhanced cyan fluorescent proteinFluorescent DyesGreen Fluorescent ProteinsLuminescent Proteinsyellow fluorescent protein, Bacteria

Identifiers

PMID31375744
PMCPMC6677752
OpenAlexW2965026933

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.