2017
DOI: 10.1007/s11357-017-9988-4
|View full text |Cite
|
Sign up to set email alerts
|

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

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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
16
0

Year Published

2018
2018
2019
2019

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 23 publications
(16 citation statements)
references
References 81 publications
0
16
0
Order By: Relevance
“…Replicative lifespan was calculated as the number of times each mother cell divided before it underwent senescence. Yeast growth rates were analyzed using the Bioscreen C automated microbiology growth curve analysis system (Growth Curves USA) as described (45,46).…”
Section: Methodsmentioning
confidence: 99%
“…Replicative lifespan was calculated as the number of times each mother cell divided before it underwent senescence. Yeast growth rates were analyzed using the Bioscreen C automated microbiology growth curve analysis system (Growth Curves USA) as described (45,46).…”
Section: Methodsmentioning
confidence: 99%
“…Disclaimer The data were presented at the 14th International Symposium on Neurobiology and Neuroendocrinology of Aging (July 15-20, 2018, Bregenz, Austria). This paper is part of a special collection of papers published in GeroScience on the oxidation-inflammation theory of aging (Tucsek et al 2017;Konopka et al 2017;Aiello et al 2017;Blodgett et al 2017;Deepa et al 2017;Jackson et al 2017;Lee et al 2017;Meschiari et al 2017;Nikolich-Zugich and van Lier 2017;Perrott et al 2017;Rais et al 2017;Shobin et al 2017;Souquette et al 2017).…”
Section: Compliance With Ethical Standardsmentioning
confidence: 99%
“…In addition to survival, we sought to understand how MA impacted overall population health. One way to assess health in a microbial culture is to quantify peak doubling time (minutes per cell division) in an outgrowing population (65). We measured growth of the MA lines with a Bioscreen C MBR reader/shaker/ incubator and calculated doubling time using YODA (63).…”
Section: Effect Of Random Mutation Burden On Rls and Doubling Time Inmentioning
confidence: 99%