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New vectors for simple and streamlined CRISPR–Cas9 genome editing in Saccharomyces cerevisiae

Overview of attention for article published in Yeast, September 2015
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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8 X users
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8 patents
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1 Redditor

Readers on

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503 Mendeley
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1 CiteULike
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Article details
Title
New vectors for simple and streamlined CRISPR–Cas9 genome editing in Saccharomyces cerevisiae
Published in
Yeast, September 2015
DOI 10.1002/yea.3098
Pubmed ID
Authors

Marian F Laughery, Tierra Hunter, Alexander Brown, James Hoopes, Travis Ostbye, Taven Shumaker, John J Wyrick

Abstract

CRISPR-Cas9 technology is an important tool for genome editing because the Cas9 endonuclease can induce targeted DNA double-strand breaks. Targeting of the DNA break is typically controlled by a single-guide RNA (sgRNA) - a chimeric RNA containing a structural segment important for Cas9 binding and a 20mer guide sequence that hybridizes to the genomic DNA target. Previous studies have demonstrated that CRISPR-Cas9 technology can be used for efficient, marker-free genome editing in S. cerevisiae. However, introducing the 20mer guide sequence into yeast sgRNA expression vectors often requires cloning procedures that are complex, time-consuming, and/or expensive. To simplify this process, we have developed a new sgRNA expression cassette with internal restriction enzyme sites that permit rapid, directional cloning of 20mer guide sequences. Here we describe a flexible set of vectors based on this design for cloning and expressing sgRNAs (and Cas9) in yeast using different selectable markers. We anticipate that the Cas9-sgRNA expression vector with the URA3 selectable marker (pML104) will be particularly useful for genome editing in yeast, since the Cas9 machinery can be easily removed by counter-selection using 5-fluoroorotic acid (5-FOA) following successful genome editing. The availability of new vectors that simplify and streamline the technical steps required for guide sequence cloning should help accelerate the use of CRISPR-Cas9 technology in yeast genome editing.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 503 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 %
United States 1 <1%
Israel 1 <1%
Germany 1 <1%
Unknown 500 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 79 16%
Student > Ph. D. Student 75 15%
Student > Master 73 15%
Researcher 65 13%
Student > Doctoral Student 21 4%
Other 49 10%
Unknown 141 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 210 42%
Agricultural and Biological Sciences 117 23%
Immunology and Microbiology 7 1%
Chemistry 4 <1%
Engineering 4 <1%
Other 14 3%
Unknown 147 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 December 2024.
All research outputs
#3,179,194
of 33,351,181 outputs
Outputs from Yeast
#62
of 1,504 outputs
Outputs of similar age
#33,296
of 306,212 outputs
Outputs of similar age from Yeast
#1
of 15 outputs
Altmetric has tracked 33,351,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,504 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 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 306,212 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 88% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.