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Discovery of Enzymatic Targets of Transcriptional Activators via in Vivo Covalent Chemical Capture

Overview of attention for article published in Journal of the American Chemical Society, September 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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4 X users
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1 patent

Citations

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21 Dimensions

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59 Mendeley
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Title
Discovery of Enzymatic Targets of Transcriptional Activators via in Vivo Covalent Chemical Capture
Published in
Journal of the American Chemical Society, September 2016
DOI 10.1021/jacs.6b07680
Pubmed ID
Authors

Amanda Dugan, Chinmay Y. Majmudar, Rachel Pricer, Sherry Niessen, Jody K. Lancia, Hugo Yik-Hong Fung, Benjamin F. Cravatt, Anna K. Mapp

Abstract

The network of activator protein-protein interactions (PPIs) that underpin transcription initiation is poorly defined, particularly in the cellular context. The transient nature of these contacts and the often low abundance of the participants present significant experimental hurdles. Through the coupling of in vivo covalent chemical capture and shotgun LC-MS/MS (MudPIT) analysis, we can trap the PPIs of transcriptional activators in a cellular setting and identify the binding partners in an unbiased fashion. Using this approach, we discover that the prototypical activators Gal4 and VP16 target the Snf1 (AMPK) kinase complex via direct interactions with both the core enzymatic subunit Snf1 and the exchangeable subunit Gal83. Further, we use a tandem reversible formaldehyde and irreversible covalent chemical capture approach (TRIC) to capture the Gal4-Snf1 interaction at the GAL1 promoter in live yeast. Together, these data support a critical role for activator PPIs in both the recruitment and positioning of important enzymatic complexes at a gene promoter and represents a technical advancement in the discovery of new cellular binding targets of transcriptional activators.

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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Student > Master 7 12%
Student > Bachelor 6 10%
Researcher 6 10%
Student > Doctoral Student 5 8%
Other 8 14%
Unknown 11 19%
Readers by discipline Count As %
Chemistry 25 42%
Biochemistry, Genetics and Molecular Biology 10 17%
Agricultural and Biological Sciences 4 7%
Engineering 3 5%
Computer Science 1 2%
Other 3 5%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 22 April 2021.
All research outputs
#2,130,417
of 22,886,568 outputs
Outputs from Journal of the American Chemical Society
#5,165
of 62,099 outputs
Outputs of similar age
#38,772
of 320,233 outputs
Outputs of similar age from Journal of the American Chemical Society
#78
of 556 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 62,099 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 91% 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 320,233 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 87% of its contemporaries.
We're also able to compare this research output to 556 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.