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Efficient gene editing in Neurospora crassa with CRISPR technology

Overview of attention for article published in Fungal Biology and Biotechnology, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

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1 tweeter
patent
3 patents

Citations

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93 Dimensions

Readers on

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199 Mendeley
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Title
Efficient gene editing in Neurospora crassa with CRISPR technology
Published in
Fungal Biology and Biotechnology, July 2015
DOI 10.1186/s40694-015-0015-1
Pubmed ID
Authors

Toru Matsu-ura, Mokryun Baek, Jungin Kwon, Christian Hong

Abstract

Efficient gene editing is a critical tool for investigating molecular mechanisms of cellular processes and engineering organisms for numerous purposes ranging from biotechnology to medicine. Recently developed RNA-guided CRISPR/Cas9 technology has been used for efficient gene editing in various organisms, but has not been tested in a model filamentous fungus, Neurospora crassa. In this report, we demonstrate efficient gene replacement in a model filamentous fungus, Neurospora crassa, with the CRISPR/Cas9 system. We utilize Cas9 endonuclease and single crRNA:tracrRNA chimeric guide RNA (gRNA) to: (1) replace the endogenous promoter of clr-2 with the β-tubulin promoter, and (2) introduce a codon optimized fire fly luciferase under the control of the gsy-1 promoter at the csr-1 locus. CLR-2 is one of the core transcription factors that regulate the expression of cellulases, and GSY-1 regulates the conversion of glucose into glycogen. We show that the β-tubulin promoter driven clr-2 strain shows increased expression of cellulases, and gsy-1-luciferase reporter strain can be easily screened with a bioluminescence assay. CRISPR/Cas9 system works efficiently in Neurospora crassa, which may be adapted to Neurospora natural isolates and other filamentous fungi. It will be beneficial for the filamentous fungal research community to take advantage of CRISPR/Cas9 tool kits that enable genetic perturbations including gene replacement and insertions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Chile 1 <1%
Italy 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 192 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 28%
Student > Master 35 18%
Researcher 28 14%
Student > Bachelor 27 14%
Student > Doctoral Student 12 6%
Other 25 13%
Unknown 17 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 46%
Biochemistry, Genetics and Molecular Biology 60 30%
Engineering 6 3%
Immunology and Microbiology 6 3%
Chemistry 4 2%
Other 11 6%
Unknown 20 10%

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 03 September 2019.
All research outputs
#2,735,865
of 15,771,486 outputs
Outputs from Fungal Biology and Biotechnology
#22
of 95 outputs
Outputs of similar age
#69,995
of 280,813 outputs
Outputs of similar age from Fungal Biology and Biotechnology
#1
of 1 outputs
Altmetric has tracked 15,771,486 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 95 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 76% 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 280,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them