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Quantitative and sensitive RNA based detection of Bacillus spores

Overview of attention for article published in Frontiers in Microbiology, March 2014
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Title
Quantitative and sensitive RNA based detection of Bacillus spores
Published in
Frontiers in Microbiology, March 2014
DOI 10.3389/fmicb.2014.00092
Pubmed ID
Authors

Ekaterina Osmekhina, Antonina Shvetsova, Maria Ruottinen, Peter Neubauer

Abstract

The fast and reliable detection of bacterial spores is of great importance and still remains a challenge. Here we describe a direct RNA-based diagnostic method for the specific detection of viable bacterial spores which does not depends on an enzymatic amplification step and therefore is directly appropriate for quantification. The procedure includes the following steps: (i) heat activation of spores, (ii) germination and enrichment cultivation, (iii) cell lysis, and (iv) analysis of 16S rRNA in crude cell lysates using a sandwich hybridization assay. The sensitivity of the method is dependent on the cultivation time and the detection limit; it is possible to detect 10 spores per ml when the RNA analysis is performed after 6 h of enrichment cultivation. At spore concentrations above 10(6) spores per ml the cultivation time can be shortened to 30 min. Total analysis times are in the range of 2-8 h depending on the spore concentration in samples. The developed procedure is optimized at the example of Bacillus subtilis spores but should be applicable to other organisms. The new method can easily be modified for other target RNAs and is suitable for specific detection of spores from known groups of organisms.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 43%
Student > Ph. D. Student 5 22%
Student > Doctoral Student 2 9%
Professor 1 4%
Lecturer > Senior Lecturer 1 4%
Other 2 9%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Biochemistry, Genetics and Molecular Biology 6 26%
Environmental Science 1 4%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Other 2 9%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2014.
All research outputs
#20,223,099
of 22,747,498 outputs
Outputs from Frontiers in Microbiology
#22,207
of 24,616 outputs
Outputs of similar age
#189,331
of 220,818 outputs
Outputs of similar age from Frontiers in Microbiology
#86
of 105 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,616 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.