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Preproinsulin mRNA engineering and its application to the regulation of insulin secretion from human hepatomas

Overview of attention for article published in Febs Letters, February 2003
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
3 patents
reddit
1 Redditor

Readers on

mendeley
19 Mendeley
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Article details
Title
Preproinsulin mRNA engineering and its application to the regulation of insulin secretion from human hepatomas
Published in
Febs Letters, February 2003
DOI 10.1016/s0014-5793(03)00121-2
Pubmed ID
Authors
Abstract

Cell-based therapies for treating insulin-dependent diabetes (IDD) can provide a more physiologic regulation of blood glucose levels in a less invasive fashion than daily insulin injections. Promising cells include non-beta cells genetically engineered to secrete insulin in response to physiologic cues; responsiveness can be introduced at the transcriptional level to regulate preproinsulin (PPI) mRNA biosynthesis. However, these cells exhibit sluggish secretion dynamics, which is not appropriate for achieving euglycemia in higher animals and, eventually, humans. In this work, we have engineered the PPI mRNA so as to destabilize it through nonsense-mediated mRNA decay (NMD). When expressed under transcriptional regulation in HepG2 hepatomas, the engineered PPI mRNA level and of the insulin secretion rate declined faster upon switching off transcription, compared to the one-copy non-engineered control. Our work provides a simple and straightforward method to improve the dynamics of transcriptionally regulated insulin secretion, which can be a useful tool in developing cell-based therapies for IDD.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Researcher 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 13 68%
Readers by discipline
Readers by discipline Count As %
Engineering 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Agricultural and Biological Sciences 1 5%
Economics, Econometrics and Finance 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 13 68%
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 May 2021.
All research outputs
#7,501,789
of 34,575,175 outputs
Outputs from Febs Letters
#4,010
of 17,653 outputs
Outputs of similar age
#28,974
of 198,431 outputs
Outputs of similar age from Febs Letters
#29
of 135 outputs
Altmetric has tracked 34,575,175 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 198,431 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 85% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.