Evidence map›Paper›PMID 16954264›Full record

ArticleJournal of clinical microbiology2006

High-throughput identification of clinical pathogenic fungi by hybridization to an oligonucleotide microarray.

Aihua Huang, Jun-Wen Li, Zhi-Qiang Shen, Xin-Wei Wang, Min Jin

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Diseases and Molecular Diagnostics: A Step Closer to Precision Medicine.Indian journal of clinical biochemistry : IJCB · 2017
    Article
  8. Molecular variation analysis ofExperimental and therapeutic medicine · 2016
    Article
  9. Article
  10. Article
  11. Article
  12. Candida infections and their prevention.ISRN preventive medicine · 2013
    Review
  13. Article
  14. Article
  15. Review
  16. Characterization of microbial pathogens by DNA microarrays.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2009
    Review
  17. Article
  18. Article
  19. Article
  20. 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.

Aihua HuangDepartment of Environment and Health, Tianjin Institute of Environment and Health, 1 Dali Road, Tianjin 300050, People's Republic of China.
Jun-Wen Li
Zhi-Qiang Shen
Xin-Wei Wang
Min Jin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we report the development of an oligonucleotide microarray method that can identify fungal pathogens in a single reaction. Specific oligonucleotide probes targeted to internal transcribed spacer 2 were designed and synthesized. Fungal DNA was amplified by universal primers, and the PCR product was hybridized with the oligonucleotide microarray. A series of specific hybridization profiles corresponding to species were obtained. The 122 strains of fungal pathogens, including standard and clinically isolated strains, used to test the specificity, stability, and sensitivity of the microarray system belonged to 20 species representing 8 genera. We found that the microarray system can successfully discriminate among the fungal pathogens to the species level, with high specificity and stability. The sensitivity was 15 pg/ml of DNA. This oligonucleotide microarray system represents a rapid, simple, and reliable alternative to conventional methods of identifying common clinical fungal isolates.

Indexed as

Mycological Typing TechniquesDNA, FungalDNA, Ribosomal SpacerFungiHumansMycosesNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisOligonucleotide ProbesPolymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySpecies SpecificityTime FactorsDNA, FungalDNA, Ribosomal SpacerOligonucleotide Probes

Identifiers

PMID16954264
PMCPMC1594736

What OpenQuestion holds

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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.