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Tracking neuronal marker expression inside living differentiating cells using molecular beacons

Overview of attention for article published in Frontiers in Cellular Neuroscience, January 2013
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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)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
facebook
1 Facebook page

Citations

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15 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Tracking neuronal marker expression inside living differentiating cells using molecular beacons
Published in
Frontiers in Cellular Neuroscience, January 2013
DOI 10.3389/fncel.2013.00266
Pubmed ID
Authors

Mirolyuba Ilieva, Paolo Della Vedova, Ole Hansen, Martin Dufva

Abstract

Monitoring gene expression is an important tool for elucidating mechanisms of cellular function. In order to monitor gene expression during nerve cell development, molecular beacon (MB) probes targeting markers representing different stages of neuronal differentiation were designed and synthesized as 2'-O-methyl RNA backbone oligonucleotides. MBs were transfected into human mesencephalic cells (LUHMES) using streptolysin-O-based membrane permeabilization. Mathematical modeling, simulations and experiments indicated that MB concentration was equal to the MB in the transfection medium after 10 min transfection. The cells will then each contain about 60,000 MBs. Gene expression was detected at different time points using fluorescence microscopy. Nestin and NeuN mRNA were expressed in approximately 35% of the LUHMES cells grown in growth medium, and in 80-90% of cells after differentiation. MAP2 and tyrosine hydroxylase mRNAs were expressed 2 and 3 days post induction of differentiation, respectively. Oct 4 was not detected with MB in these cells and signal was not increased over time suggesting that MB are generally stable inside the cells. The gene expression changes measured using MBs were confirmed using qRT-PCR. These results suggest that MBs are simple to use sensors inside living cell, and particularly useful for studying dynamic gene expression in heterogeneous cell populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Australia 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 7 18%
Student > Master 6 16%
Other 5 13%
Student > Bachelor 2 5%
Other 2 5%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 29%
Biochemistry, Genetics and Molecular Biology 6 16%
Medicine and Dentistry 6 16%
Neuroscience 5 13%
Business, Management and Accounting 1 3%
Other 2 5%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 January 2014.
All research outputs
#4,646,527
of 22,736,112 outputs
Outputs from Frontiers in Cellular Neuroscience
#930
of 4,217 outputs
Outputs of similar age
#50,278
of 280,808 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#36
of 203 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,217 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 77% 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 280,808 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 203 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.