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Immunoblot screening of CRISPR/Cas9-mediated gene knockouts without selection

Overview of attention for article published in BMC Molecular and Cell Biology, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Title
Immunoblot screening of CRISPR/Cas9-mediated gene knockouts without selection
Published in
BMC Molecular and Cell Biology, April 2016
DOI 10.1186/s12867-016-0061-0
Pubmed ID
Authors

Jason A. Estep, Erin L. Sternburg, Gissell A. Sanchez, Fedor V. Karginov

Abstract

Targeted genomic editing using the CRISPR/Cas9 methodology has opened exciting new avenues in probing gene function in virtually any model system, including cultured mammalian cells. Depending on the desired mutation, several experimental options exist in the isolation of clonal lines, such as selection with introduced markers, or screening by PCR amplification of genomic DNA. However, streamlined approaches to establishing deletion and tagging mutants with minimal genomic perturbation are of interest in applying this methodology. We developed a procedure for rapid screening of clonal cell lines for the deletion of a protein of interest following CRISPR/Cas9 targeting in the absence of selective pressure based on dot immunoblots. To assess the technique, we probed clonal isolates of 293-TREx cells that were targeted with three separate sgRNAs against the HuR gene. Validation of knockout candidates by western blot indicated that the normalized protein abundances indicated by the dot blot serve as accurate predictors of deletion. In total, 32 independent biallelic deletion lines out of 248 screened clones were isolated, and recovery of null mutants ranged from 6 to 36 % for the individual sgRNAs. Genomic sequencing verified small deletions at the targeted locus. Clonal screening for CRISPR/Cas9-mediated editing events using dot immunoblot is a straightforward and efficient approach that facilitates rapid generation of genomic mutants to study gene function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
United Kingdom 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 92 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 16 17%
Student > Bachelor 15 16%
Student > Master 14 15%
Student > Doctoral Student 7 7%
Other 7 7%
Unknown 16 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 35%
Agricultural and Biological Sciences 21 22%
Medicine and Dentistry 7 7%
Immunology and Microbiology 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 9 9%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 12 January 2017.
All research outputs
#3,560,690
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#58
of 1,233 outputs
Outputs of similar age
#55,069
of 314,988 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#1
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. 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 314,988 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 82% 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.