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A system to identify inhibitors of mTOR signaling using high-resolution growth analysis in Saccharomyces cerevisiae

Overview of attention for article published in GeroScience, July 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

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42 Mendeley
Title
A system to identify inhibitors of mTOR signaling using high-resolution growth analysis in Saccharomyces cerevisiae
Published in
GeroScience, July 2017
DOI 10.1007/s11357-017-9988-4
Pubmed ID
Authors

Mitchell B. Lee, Daniel T. Carr, Michael G. Kiflezghi, Yan Ting Zhao, Deborah B. Kim, Socheata Thon, Margarete D. Moore, Mary Ann K. Li, Matt Kaeberlein

Abstract

The mechanistic target of rapamycin (mTOR) is a central regulator of growth and proliferation and mTOR inhibition is a promising therapy for a variety of diseases and disorders. Inhibition of mTOR complex I (mTORC1) with rapamycin delays aging and increases healthy longevity in laboratory animals and is used clinically at high doses to prevent organ transplant rejection and to treat some forms of cancer. Clinical use of rapamycin is associated with several unwanted side effects, however, and several strategies are being taken to identify mTORC1 inhibitors with fewer side effects. We describe here a yeast-based growth assay that can be used to screen for novel inhibitors of mTORC1. By testing compounds using a wild-type strain and isogenic cells lacking either TOR1 or FPR1, we can resolve not only whether a compound is an inhibitor of mTORC1 but also whether the inhibitor acts through a mechanism similar to rapamycin by binding Fpr1. Using this assay, we show that rapamycin derivatives behave similarly to rapamycin, while caffeine and the ATP competitive inhibitors Torin 1 and GSK2126458 are mTORC1 inhibitors in yeast that act independently of Fpr1. Some mTOR inhibitors in mammalian cells do not inhibit mTORC1 in yeast, and several nutraceutical compounds were not found to specifically inhibit mTOR but resulted in a general inhibition of yeast growth. Our screening method holds promise as a means of effectively assaying drug libraries for mTOR-inhibitory molecules in vivo that may be adapted as novel treatments to fight diseases and extend healthy longevity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 19%
Student > Ph. D. Student 6 14%
Researcher 5 12%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Other 7 17%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Other 8 19%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 July 2021.
All research outputs
#7,463,207
of 24,546,092 outputs
Outputs from GeroScience
#722
of 1,457 outputs
Outputs of similar age
#109,526
of 316,571 outputs
Outputs of similar age from GeroScience
#8
of 10 outputs
Altmetric has tracked 24,546,092 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 50% 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 316,571 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.