Evidence map›Paper›PMID 21359643›Full record

ArticleMolecular biology reports2011

Development and evaluation of a new detection tool-visual DNA microarray for simultaneous and specific detection of human immunodeficiency virus type-1 and hepatitis C virus.

Jingfeng Tang, Li Zhou, Lian Lian Duan, Yang Feng, Xuan Cao, Yefu Wang

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 6 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

6 authors at 1 institution in 1 country.

Jingfeng TangThe State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Li Zhou
Lian Lian Duan
Yang Feng
Xuan Cao
Yefu Wang
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV) are transfusion-transmitted human pathogens that have a major impact on blood safety and public health. Based on multiplex asymmetrical PCR and coupled with gold labelled silver stain (GLSS), we developed the visual DNA microarray for sensitive and specific detection of these two viruses. Capturing probes of 5'-end-amino-modified oligonucleotides were immobilized on glass surface to bind the complement biotinylated target DNA. The Au-streptavidin probe was introduced to the microarray for specific binding to biotin. Black images of microarray spots which result from the precipitation of silver onto Au-streptavidin probes, were visualized by naked eyes. In order to improve the efficiency of microarray hybridization, triplex asymmetrical PCR of HIV-1, HCV and Human enterovirus 71 (EV-71, used as positive control) were performed to prepare abundant biotinylated single-stranded target DNA. The sensitivity of visual DNA microarray (10(3) copies/ml) was higher than conventional PCR (10(4) copies/ml) and was identical to FQ-PCR (10(3) copies/ml). Total 152 blood samples containing the two viruses were tested using the DNA microarray and fluorescence quantitative real-time PCR (FQ-PCR). The results were identical (P > 0.05). So this system has high sensitivity and may have potential in clinical applications.

Indexed as

DNA ProbesDNA, ViralElectrophoresis, Agar GelGoldHepacivirusHIV-1HumansNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionReference StandardsSensitivity and SpecificitySilverStreptavidinDNA ProbesDNA, ViralGoldSilverStreptavidin

Identifiers

PMID21359643
OpenAlexW2090643966

What OpenQuestion holds

Textmetadata
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.