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TREC-IN: gene knock-in genetic tool for genomes cloned in yeast

Overview of attention for article published in BMC Genomics, December 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
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2 X users
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4 patents
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1 Facebook page

Citations

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28 Dimensions

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58 Mendeley
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Title
TREC-IN: gene knock-in genetic tool for genomes cloned in yeast
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1180
Pubmed ID
Authors

Suchismita Chandran, Vladimir N Noskov, Thomas H Segall-Shapiro, Li Ma, Caitlin Whiteis, Carole Lartigue, Joerg Jores, Sanjay Vashee, Ray-Yuan Chuang

Abstract

With the development of several new technologies using synthetic biology, it is possible to engineer genetically intractable organisms including Mycoplasma mycoides subspecies capri (Mmc), by cloning the intact bacterial genome in yeast, using the host yeast's genetic tools to modify the cloned genome, and subsequently transplanting the modified genome into a recipient cell to obtain mutant cells encoded by the modified genome. The recently described tandem repeat coupled with endonuclease cleavage (TREC) method has been successfully used to generate seamless deletions and point mutations in the mycoplasma genome using the yeast DNA repair machinery. But, attempts to knock-in genes in some cases have encountered a high background of transformation due to maintenance of unwanted circularization of the transforming DNA, which contains possible autonomously replicating sequence (ARS) activity. To overcome this issue, we incorporated a split marker system into the TREC method, enabling seamless gene knock-in with high efficiency. The modified method is called TREC-assisted gene knock-in (TREC-IN). Since a gene to be knocked-in is delivered by a truncated non-functional marker, the background caused by an incomplete integration is essentially eliminated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 3%
China 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Ph. D. Student 10 17%
Student > Bachelor 7 12%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Other 3 5%
Unknown 17 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 26%
Agricultural and Biological Sciences 15 26%
Immunology and Microbiology 3 5%
Computer Science 2 3%
Medicine and Dentistry 2 3%
Other 2 3%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 August 2023.
All research outputs
#2,011,793
of 24,226,848 outputs
Outputs from BMC Genomics
#498
of 10,925 outputs
Outputs of similar age
#28,139
of 361,636 outputs
Outputs of similar age from BMC Genomics
#14
of 249 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,925 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 361,636 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 92% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.