Evidence map›Paper›PMID 1452710›Full record

ArticleJournal of clinical microbiology1992

Genotypic identification and characterization of species and strains within the genus Candida by using random amplified polymorphic DNA.

P F Lehmann, D Lin, B A Lasker

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

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  9. Evaluation of matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry for identification of Candida parapsilosis, C. orthopsilosis and C. metapsilosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
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19 more citing papers are in PubMed but not listed here.

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

3 authors.

P F LehmannDepartment of Microbiology, Medical College of Ohio, Toledo 43699-0008.
D Lin
B A Lasker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Random amplified polymorphic DNA (RAPD) was used to better characterize the genotypic relatedness among medically important Candida species. By using short oligomer primers (10-mers) with arbitrarily chosen sequences in the polymerase chain reaction, distinctive and reproducible sets of polymerase chain reaction products were observed for isolates of C. albicans, C. lusitaniae, C. tropicalis, and Torulopsis (Candida) glabrata. The RAPD analysis differentiated a physiologically homogeneous panel of C. parapsilosis into three distinct groups and showed genetic diversity within C. haemulonii. Intraspecies DNA-length polymorphisms were seen for RAPD profiles derived from different isolates of each species. Analysis of RAPDs from a panel of C. albicans, which included 16 laboratory derivatives of two reference strains, showed that the profiles of unrelated strains differed and that the derivatives of each reference strain were identifiable. Minor differences in the RAPD profiles, suggestive of mutations that had occurred during the long-term maintenance of the strains, were detected. Because of its ease and reliability, RAPD analysis should be useful in providing genotypic characters for taxonomic descriptions, for confirming the identities of stock isolates, for typing Candida species in epidemiologic investigations, and for use in the rapid identification of pathogenic fungi.

Indexed as

Base SequenceCandidaDNA, FungalGene AmplificationGenotypeHumansMolecular Sequence DataPolymerase Chain ReactionPolymorphism, GeneticSpecies SpecificityDNA, Fungal

Identifiers

PMID1452710
PMCPMC270642

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.