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enChIP systems using different CRISPR orthologues and epitope tags

Overview of attention for article published in BMC Research Notes, February 2018
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Title
enChIP systems using different CRISPR orthologues and epitope tags
Published in
BMC Research Notes, February 2018
DOI 10.1186/s13104-018-3262-4
Pubmed ID
Authors

Toshitsugu Fujita, Miyuki Yuno, Hodaka Fujii

Abstract

Previously, we developed the engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) technology, which isolates specific genomic regions while preserving their molecular interactions. In enChIP, the locus of interest is tagged with engineered DNA-binding molecules such as the clustered regularly interspaced short palindromic repeats (CRISPR) system, consisting of a catalytically inactive form of Cas9 (dCas9) and guide RNA, followed by affinity purification of the tagged locus to allow identification of associated molecules. In our previous studies, we used a 3xFLAG-tagged CRISPR system from Streptococcus pyogenes (S. pyogenes). In this study, to increase the flexibility of enChIP, we used the CRISPR system from Staphylococcus aureus (S. aureus) along with different epitope tags. We generated a plasmid expressing S. aureus dCas9 (Sa-dCas9) fused to a nuclear localization signal (NLS) and a 3xFLAG-tag (Sa-dCas9-3xFLAG). The yields of enChIP using Sa-dCas9-3xFLAG were comparable to those using S. pyogenes dCas9 fused with an NLS and a 3xFLAG-tag (3xFLAG-Sp-dCas9). We also generated another enChIP system using Sp-dCas9 fused with an NLS and a 2xAM-tag (Sp-dCas9-2xAM). We obtained high enChIP yields using this system as well. Our findings indicate that these tools will increase the flexibility of enChIP analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 7 16%
Student > Bachelor 7 16%
Student > Master 6 14%
Professor 3 7%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 43%
Agricultural and Biological Sciences 10 23%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Immunology and Microbiology 2 5%
Medicine and Dentistry 2 5%
Other 1 2%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 March 2018.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from BMC Research Notes
#3,579
of 4,283 outputs
Outputs of similar age
#291,830
of 330,058 outputs
Outputs of similar age from BMC Research Notes
#101
of 123 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.