Evidence map›Paper›PMID 33126726›Full record

ArticleMolecules (Basel, Switzerland)2020

A FRET-ICT Dual-Modulated Ratiometric Fluorescence Sensor for Monitoring and Bio-Imaging of Cellular Selenocysteine.

Zongcheng Wang, Chenhong Hao, Xiaofang Luo, Qiyao Wu, Chengliang Zhang, Wubliker Dessie, Yuren Jiang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Zongcheng WangCollege of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
Chenhong HaoHunan Engineering Technology Research Center for Comprehensive Development and Utilization of Biomass Resources, Hunan University of Science and Engineering, Yongzhou 425199, China.
Xiaofang LuoHunan Engineering Technology Research Center for Comprehensive Development and Utilization of Biomass Resources, Hunan University of Science and Engineering, Yongzhou 425199, China.
Qiyao WuCollege of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
Chengliang ZhangCollege of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
Wubliker DessieHunan Engineering Technology Research Center for Comprehensive Development and Utilization of Biomass Resources, Hunan University of Science and Engineering, Yongzhou 425199, China.ORCID 0000-0002-4893-4772
Yuren JiangCollege of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
Central South University · CNHunan University of Science and Engineering · CN

Funding

National Natural Science Foundation of China 20876180Scientific Research Project of Education Department of Hunan province 19A192
6 · The paper itself

Abstract

Since the fluctuation of cellular selenocysteine (Sec) concentration plays an all-important role in the development of numerous human disorders, the real-time fluorescence detection of Sec in living systems has attracted plenty of interest during the past decade. In order to obtain a faster and more sensitive small organic molecule fluorescence sensor for the Sec detection, a new ratiometric fluorescence sensor

Indexed as

A549 CellsFluorescence Resonance Energy TransferHumansOptical ImagingSelenocysteineSelenocysteinebio-imagingcellular SecFRETratiometric fluorescence sensor

Identifiers

PMID33126726
PMCPMC7663636
OpenAlexW3095688203

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.