Evidence map›Paper›PMID 17657531›Full record

ArticleCurrent microbiology2007

Identification of HCV-1b by low-density cDNA microarray-based assay.

Zhaohui Sun, Wenli Ma, Min Wei, Shuyan Wang, Wenling Zheng

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Current microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Zhaohui SunClinical Laboratory, Liuhuaqiao Hospital, 510010, Guangzhou, People's Republic of China.
Wenli Ma
Min Wei
Shuyan Wang
Wenling Zheng
Southern Medical University · CN421 Hospital of PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid and sensitive microarray assay for the detection of HCV-1b was developed in our laboratory and a cDNA fragment library for HCV-1b cDNA microarray probes was constructed. The full-length cDNAs of HCV-1b were digested with restriction endonuclease Sau3A I and the fragments were cloned with the pMD18-T vectors. Positive clones were isolated and identified by sequencing. The cDNA microarray was prepared by spotting the gene fragment on the surface of an amido-modified glass slide using the robotics system and samples were fluorescent labeled by the restriction display PCR (RD-PCR) technique, In the present study, modified protocols were used for probe selection and hybridization temperature. The detection of a microarray was validated by the hybridization and the sequence analysis. A total of 22 different specific gene fragments of HCV-1b ranging from 250 to 750 bp were isolated and sequenced, and these fragments were further used as probes in the microarray preparation. The diagnostic validity of the microarray method was evaluated after the washing and scanning process. The results of hybridization and sequence data analysis showed a significant specificity and sensitivity in the detection of HCV-1b RNA. The method of preparing microarray probes by construction of cDNA fragments library was effective, rapid, and simple; the optimized microarray was sensitive in the clinical detection of HCV-1b. The RD-PCR technique for the sample labeling was useful for significantly increasing the sensitivity of the assay. The cDNA microarray assay can be widely used in the clinical diagnosis of HCV-1b.

Indexed as

DNA, ComplementaryHepacivirusNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionSensitivity and SpecificityDNA, Complementary

Identifiers

PMID17657531
OpenAlexW2151944996

What OpenQuestion holds

Textmetadata
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Registered trials

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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.