↓ Skip to main content

Gene cassette knock-in in mammalian cells and zygotes by enhanced MMEJ

Overview of attention for article published in BMC Genomics, November 2016
Altmetric Badge

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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
104 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gene cassette knock-in in mammalian cells and zygotes by enhanced MMEJ
Published in
BMC Genomics, November 2016
DOI 10.1186/s12864-016-3331-9
Pubmed ID
Authors

Tomomi Aida, Shota Nakade, Tetsushi Sakuma, Yayoi Izu, Ayu Oishi, Keiji Mochida, Harumi Ishikubo, Takako Usami, Hidenori Aizawa, Takashi Yamamoto, Kohichi Tanaka

Abstract

Although CRISPR/Cas enables one-step gene cassette knock-in, assembling targeting vectors containing long homology arms is a laborious process for high-throughput knock-in. We recently developed the CRISPR/Cas-based precise integration into the target chromosome (PITCh) system for a gene cassette knock-in without long homology arms mediated by microhomology-mediated end-joining. Here, we identified exonuclease 1 (Exo1) as an enhancer for PITCh in human cells. By combining the Exo1 and PITCh-directed donor vectors, we achieved convenient one-step knock-in of gene cassettes and floxed allele both in human cells and mouse zygotes. Our results provide a technical platform for high-throughput knock-in.

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 103 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 20 19%
Student > Master 12 12%
Other 10 10%
Student > Bachelor 9 9%
Other 21 20%
Unknown 9 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 40%
Agricultural and Biological Sciences 30 29%
Medicine and Dentistry 6 6%
Neuroscience 6 6%
Chemical Engineering 3 3%
Other 5 5%
Unknown 12 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 August 2019.
All research outputs
#2,841,733
of 14,843,716 outputs
Outputs from BMC Genomics
#1,478
of 8,569 outputs
Outputs of similar age
#70,354
of 265,013 outputs
Outputs of similar age from BMC Genomics
#5
of 22 outputs
Altmetric has tracked 14,843,716 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,569 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 81% 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 265,013 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 73% of its contemporaries.
We're also able to compare this research output to 22 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.