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DNA-free RNA isolation protocols for Arabidopsis thaliana, including seeds and siliques

Overview of attention for article published in BMC Research Notes, January 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

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246 Dimensions

Readers on

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283 Mendeley
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Title
DNA-free RNA isolation protocols for Arabidopsis thaliana, including seeds and siliques
Published in
BMC Research Notes, January 2008
DOI 10.1186/1756-0500-1-93
Pubmed ID
Authors

Luis Oñate-Sánchez, Jesús Vicente-Carbajosa

Abstract

High throughput applications of the reverse transcriptase quantitative PCR (RT-qPCR) for quantification of gene expression demand straightforward procedures to isolate and analyze a considerable number of DNA-free RNA samples. Published protocols are labour intensive, use toxic organic chemicals and need a DNase digestion once pure RNAs have been isolated. In addition, for some tissues, the amount of starting material may be limiting. The convenience of commercial kits is often prohibitive when handling large number of samples. We have established protocols to isolate DNA-free RNA from Arabidopsis thaliana tissues ready for RT-qPCR applications. Simple non-toxic buffers were used for RNA isolation from Arabidopsis tissues with the exception of seeds and siliques, which required the use of organic extractions. The protocols were designed to minimize the number of steps, labour time and the amount of starting tissue to as little as 10-20 mg without affecting RNA quality. In both protocols genomic DNA (gDNA) can be efficiently removed from RNA samples before the final alcohol precipitation step, saving extra purification steps before cDNA synthesis. The expression kinetics of previously characterized genes confirmed the robustness of the procedures. Here, we present two protocols to isolate DNA-free RNA from Arabidopsis tissues ready for RT-qPCR applications that significantly improve existing ones by reducing labour time and the use of organic extractions. Accessibility to these protocols is ensured by its simplicity and the low cost of the materials used.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
France 3 1%
Argentina 2 <1%
Spain 2 <1%
South Africa 1 <1%
Brazil 1 <1%
Malaysia 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Other 4 1%
Unknown 264 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 22%
Student > Master 50 18%
Researcher 49 17%
Student > Bachelor 41 14%
Student > Doctoral Student 24 8%
Other 32 11%
Unknown 25 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 193 68%
Biochemistry, Genetics and Molecular Biology 55 19%
Engineering 3 1%
Chemistry 2 <1%
Business, Management and Accounting 2 <1%
Other 3 1%
Unknown 25 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 January 2020.
All research outputs
#2,600,444
of 16,652,557 outputs
Outputs from BMC Research Notes
#390
of 3,591 outputs
Outputs of similar age
#40,827
of 232,038 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 16,652,557 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,591 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 232,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them