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Genetic Modification of Cancer Cells Using Non-Viral, Episomal S/MAR Vectors for In Vivo Tumour Modelling

Overview of attention for article published in PLOS ONE, October 2012
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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2 blogs
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1 X user
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1 Facebook page

Citations

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13 Dimensions

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32 Mendeley
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Title
Genetic Modification of Cancer Cells Using Non-Viral, Episomal S/MAR Vectors for In Vivo Tumour Modelling
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047920
Pubmed ID
Authors

Orestis Argyros, Suet Ping Wong, Kate Gowers, Richard Paul Harbottle

Abstract

The development of genetically marked animal tumour xenografts is an area of ongoing research to enable easier and more reliable testing of cancer therapies. Genetically marked tumour models have a number of advantages over conventional tumour models, including the easy longitudinal monitoring of therapies and the reduced number of animals needed for trials. Several different methods have been used in previous studies to mark tumours genetically, however all have limitations, such as genotoxicity and other artifacts related to the usage of integrating viral vectors. Recently, we have generated an episomally maintained plasmid DNA (pDNA) expression system based on Scaffold/Matrix Attachment Region (S/MAR), which permits long-term luciferase transgene expression in the mouse liver. Here we describe a further usage of this pDNA vector with the human Ubiquitin C promoter to create stably transfected human hepatoma (Huh7) and human Pancreatic Carcinoma (MIA-PaCa2) cell lines, which were delivered into "immune deficient" mice and monitored longitudinally over time using a bioluminometer. Both cell lines revealed sustained episomal long-term luciferase expression and formation of a tumour showing the pathological characteristics of hepatocellular carcinoma (HCC) and pancreatic carcinoma (PaCa), respectively. This is the first demonstration that a pDNA vector can confer sustained episomal luciferase transgene expression in various mouse tumour models and can thus be readily utilised to follow tumour formation without interfering with the cellular genome.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 34%
Student > Master 7 22%
Student > Ph. D. Student 4 13%
Student > Postgraduate 3 9%
Other 2 6%
Other 2 6%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Biochemistry, Genetics and Molecular Biology 10 31%
Unspecified 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 06 September 2013.
All research outputs
#2,323,079
of 22,684,168 outputs
Outputs from PLOS ONE
#29,579
of 193,651 outputs
Outputs of similar age
#17,015
of 183,259 outputs
Outputs of similar age from PLOS ONE
#592
of 4,857 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 84% 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 183,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 4,857 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.