Evidence map›Paper›PMID 18673074›Full record

ArticleFoodborne pathogens and disease2008

Food microbial pathogen detection and analysis using DNA microarray technologies.

Avraham Rasooly, Keith E Herold

Abstract read
In one paragraph

Article in Foodborne pathogens and disease, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 105 citations in OpenAlex.

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  10. DNA microarray-based gene expression profiling of estrogenic chemicals.Cellular and molecular life sciences : CMLS · 2014
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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

2 authors at 2 institutions in 1 country.

Avraham RasoolyU.S. Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, USA. rasoolya@mail.nih.gov
Keith E Herold
Center for Devices and Radiological Health · USUniversity of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culture-based methods used for microbial detection and identification are simple to use, relatively inexpensive, and sensitive. However, culture-based methods are too time-consuming for high-throughput testing and too tedious for analysis of samples with multiple organisms and provide little clinical information regarding the pathogen (e.g., antibiotic resistance genes, virulence factors, or strain subtype). DNA-based methods, such as polymerase chain reaction (PCR), overcome some these limitations since they are generally faster and can provide more information than culture-based methods. One limitation of traditional PCR-based methods is that they are normally limited to the analysis of a single pathogen, a small group of related pathogens, or a small number of relevant genes. Microarray technology enables a significant expansion of the capability of DNA-based methods in terms of the number of DNA sequences that can be analyzed simultaneously, enabling molecular identification and characterization of multiple pathogens and many genes in a single array assay. Microarray analysis of microbial pathogens has potential uses in research, food safety, medical, agricultural, regulatory, public health, and industrial settings. In this article, we describe the main technical elements of microarray technology and the application and potential use of DNA microarrays for food microbial analysis.

Indexed as

Food MicrobiologyBacteriaDNA, BacterialDNA ProbesDrug Resistance, BacterialGene Expression ProfilingGenotypeMicrospheresOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRNA, BacterialRNA, RibosomalSensitivity and SpecificityVirulence FactorsDNA, BacterialDNA ProbesRNA, BacterialRNA, RibosomalVirulence Factors

Identifiers

PMID18673074
PMCPMC3186690
OpenAlexW2081150532

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.