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A genetic strategy to identify targets for the development of drugs that prevent bacterial persistence

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
10 patents
f1000
1 research highlight platform

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
225 Mendeley
citeulike
1 CiteULike
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Title
A genetic strategy to identify targets for the development of drugs that prevent bacterial persistence
Published in
Proceedings of the National Academy of Sciences of the United States of America, November 2013
DOI 10.1073/pnas.1315860110
Pubmed ID
Authors

Jee-Hyun Kim, Kathryn M. O’Brien, Ritu Sharma, Helena I. M. Boshoff, German Rehren, Sumit Chakraborty, Joshua B. Wallach, Mercedes Monteleone, Daniel J. Wilson, Courtney C. Aldrich, Clifton E. Barry, Kyu Y. Rhee, Sabine Ehrt, Dirk Schnappinger

Abstract

Antibacterial drug development suffers from a paucity of targets whose inhibition kills replicating and nonreplicating bacteria. The latter include phenotypically dormant cells, known as persisters, which are tolerant to many antibiotics and often contribute to failure in the treatment of chronic infections. This is nowhere more apparent than in tuberculosis caused by Mycobacterium tuberculosis, a pathogen that tolerates many antibiotics once it ceases to replicate. We developed a strategy to identify proteins that Mycobacterium tuberculosis requires to both grow and persist and whose inhibition has the potential to prevent drug tolerance and persister formation. This strategy is based on a tunable dual-control genetic switch that provides a regulatory range spanning three orders of magnitude, quickly depletes proteins in both replicating and nonreplicating mycobacteria, and exhibits increased robustness to phenotypic reversion. Using this switch, we demonstrated that depletion of the nicotinamide adenine dinucleotide synthetase (NadE) rapidly killed Mycobacterium tuberculosis under conditions of standard growth and nonreplicative persistence induced by oxygen and nutrient limitation as well as during the acute and chronic phases of infection in mice. These findings establish the dual-control switch as a robust tool with which to probe the essentiality of Mycobacterium tuberculosis proteins under different conditions, including those that induce antibiotic tolerance, and NadE as a target with the potential to shorten current tuberculosis chemotherapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 3 1%
France 2 <1%
Netherlands 1 <1%
Switzerland 1 <1%
South Africa 1 <1%
Argentina 1 <1%
Brazil 1 <1%
Denmark 1 <1%
Other 3 1%
Unknown 207 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 24%
Researcher 54 24%
Student > Bachelor 19 8%
Student > Postgraduate 14 6%
Professor > Associate Professor 14 6%
Other 40 18%
Unknown 29 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 37%
Biochemistry, Genetics and Molecular Biology 48 21%
Immunology and Microbiology 29 13%
Chemistry 7 3%
Medicine and Dentistry 7 3%
Other 18 8%
Unknown 32 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 September 2023.
All research outputs
#2,709,573
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#30,123
of 101,438 outputs
Outputs of similar age
#25,019
of 220,854 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#380
of 946 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 70% 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 220,854 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 88% of its contemporaries.
We're also able to compare this research output to 946 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.