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Engineering Complex Synthetic Transcriptional Programs with CRISPR RNA Scaffolds

Overview of attention for article published in Cell, December 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Citations

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799 Dimensions

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2036 Mendeley
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4 CiteULike
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Title
Engineering Complex Synthetic Transcriptional Programs with CRISPR RNA Scaffolds
Published in
Cell, December 2014
DOI 10.1016/j.cell.2014.11.052
Pubmed ID
Authors

Jesse G. Zalatan, Michael E. Lee, Ricardo Almeida, Luke A. Gilbert, Evan H. Whitehead, Marie La Russa, Jordan C. Tsai, Jonathan S. Weissman, John E. Dueber, Lei S. Qi, Wendell A. Lim

Abstract

Eukaryotic cells execute complex transcriptional programs in which specific loci throughout the genome are regulated in distinct ways by targeted regulatory assemblies. We have applied this principle to generate synthetic CRISPR-based transcriptional programs in yeast and human cells. By extending guide RNAs to include effector protein recruitment sites, we construct modular scaffold RNAs that encode both target locus and regulatory action. Sets of scaffold RNAs can be used to generate synthetic multigene transcriptional programs in which some genes are activated and others are repressed. We apply this approach to flexibly redirect flux through a complex branched metabolic pathway in yeast. Moreover, these programs can be executed by inducing expression of the dCas9 protein, which acts as a single master regulatory control point. CRISPR-associated RNA scaffolds provide a powerful way to construct synthetic gene expression programs for a wide range of applications, including rewiring cell fates or engineering metabolic pathways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 2,036 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 33 2%
United Kingdom 10 <1%
France 4 <1%
Belgium 3 <1%
China 3 <1%
Germany 2 <1%
Brazil 2 <1%
Switzerland 2 <1%
Sweden 2 <1%
Other 15 <1%
Unknown 1960 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 563 28%
Researcher 399 20%
Student > Master 225 11%
Student > Bachelor 211 10%
Student > Doctoral Student 95 5%
Other 278 14%
Unknown 265 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 766 38%
Biochemistry, Genetics and Molecular Biology 621 31%
Engineering 76 4%
Medicine and Dentistry 66 3%
Chemistry 50 2%
Other 155 8%
Unknown 302 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 05 March 2024.
All research outputs
#386,451
of 25,371,288 outputs
Outputs from Cell
#2,049
of 17,169 outputs
Outputs of similar age
#4,446
of 360,166 outputs
Outputs of similar age from Cell
#25
of 143 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. This one has done well, scoring higher than 88% 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 360,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.