Evidence map›Paper›PMID 29968105›Full record

ArticleAnalytical and bioanalytical chemistry2018

Graphene oxide-based biosensing platform for rapid and sensitive detection of HIV-1 protease.

Youwen Zhang, Xiaohan Chen, Golbarg M Roozbahani, Xiyun Guan

Abstract readEvaluation Study
In one paragraph

Article in Analytical and bioanalytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 49 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

4 authors at 1 institution in 1 country.

Youwen ZhangDepartment of Chemistry, Illinois Institute of Technology, 3101 S Dearborn St, Chicago, IL, 60616, USA.
Xiaohan ChenDepartment of Chemistry, Illinois Institute of Technology, 3101 S Dearborn St, Chicago, IL, 60616, USA.
Golbarg M RoozbahaniDepartment of Chemistry, Illinois Institute of Technology, 3101 S Dearborn St, Chicago, IL, 60616, USA.
Xiyun GuanDepartment of Chemistry, Illinois Institute of Technology, 3101 S Dearborn St, Chicago, IL, 60616, USA. xguan5@iit.edu.
Illinois Institute of Technology · US

Funding

Label-Free Nanopore Biosensor for Rapid, Ultrasensitive, and Multiplex Detection of Protease ActivitiesR15GM110632 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI GUAN, XIYUN · 2014 to 2017
$746k
Division of Materials Research 1708596National Institute of General Medical Sciences 2R15GM110632-02NIGMS NIH HHS R15 GM110632
6 · The paper itself

Abstract

HIV-1 protease is essential for the life cycle of the human immunodeficiency virus (HIV), and is one of the most important clinical targets for antiretroviral therapies. In this work, we developed a graphene oxide (GO)-based fluorescence biosensing platform for the rapid, sensitive, and accurate detection of HIV-1 protease, in which fluorescent-labeled HIV-1 protease substrate peptide molecules were covalently linked to GO. In the absence of HIV-1 protease, fluorescein was effectively quenched by GO. In contrast, in the presence of HIV-1 protease, it would cleave the substrate peptide into short fragments, thus producing fluorescence. Based on this sensing strategy, HIV-1 protease could be detected at as low as 1.18 ng/mL. More importantly, the sensor could successfully detect HIV-1 protease in human serum. Such GO-based fluorescent sensors may find useful applications in many fields, including diagnosis of protease-related diseases, as well as sensitive and high-throughput screening of drug candidates. Graphical abstract ᅟ.

Indexed as

Biosensing TechniquesEnzyme AssaysFluorescent DyesGraphiteHIV-1HIV InfectionsHIV ProteaseHumansLimit of DetectionOxidesPeptidesSpectrometry, FluorescenceFluorescent DyesGraphiteHIV ProteaseOxidesp16 protease, Human immunodeficiency virus 1PeptidesBiosensingGraphene oxideHIV-1 proteaseHuman serum

Identifiers

PMID29968105
PMCPMC6159923
OpenAlexW2809692823

What OpenQuestion holds

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LicenceTDM
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.