Evidence map›Paper›PMID 16332879›Full record

ArticleApplied and environmental microbiology2005

Development and evaluation of genome-probing microarrays for monitoring lactic acid bacteria.

Jin-Woo Bae, Sung-Keun Rhee, Ja Ryeong Park, Won-Hyong Chung, Young-Do Nam, Insun Lee, Hongik Kim, Yong-Ha Park

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 114 citations in OpenAlex.

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  14. Metagenomic analysis of kimchi, a traditional Korean fermented food.Applied and environmental microbiology · 2011
    Article
  15. Article
  16. Article
  17. Metagenomic analysis of the viral communities in fermented foods.Applied and environmental microbiology · 2011
    Article
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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

8 authors at 2 institutions in 1 country.

Jin-Woo BaeBiological Resources Center, Korea Research Institute of Bioscience and Biotechnology, Eundong 52, Yusong, Daejeon, South Korea.
Sung-Keun Rhee
Ja Ryeong Park
Won-Hyong Chung
Young-Do Nam
Insun Lee
Hongik Kim
Yong-Ha Park
Korea Research Institute of Bioscience and Biotechnology · KRChungbuk National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genome-probing microarray (GPM) was developed for quantitative, high-throughput monitoring of community dynamics in lactic acid bacteria (LAB) fermentation through the deposit of 149 microbial genomes as probes on a glass slide. Compared to oligonucleotide microarrays, the specificity of GPM was remarkably increased to a species-specific level. GPM possesses about 10- to 100-fold higher sensitivity (2.5 ng of genomic DNA) than the currently used 50-mer oligonucleotide microarrays. Since signal variation between the different genomes was very low compared to that of cDNA or oligonucleotide-based microarrays, the capacity of global quantification of microbial genomes could also be observed in GPM hybridization. In order to assess the applicability of GPMs, LAB community dynamics were monitored during the fermentation of kimchi, a traditional Korean food. In this work, approximately 100 diverse LAB species could be quantitatively analyzed as actively involved in kimchi fermentation.

Indexed as

Genome, BacterialOligonucleotide Array Sequence AnalysisDNA, BacterialHydrogen-Ion ConcentrationKineticsLactobacillusNucleic Acid HybridizationPhylogenyDNA, Bacterial

Identifiers

PMID16332879
PMCPMC1317428
OpenAlexW2133922923

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.