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Evaluation of genes involved in oxidative phosphorylation in yeast by developing a simple and rapid method to measure mitochondrial ATP synthetic activity

Overview of attention for article published in Microbial Cell Factories, April 2015
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Title
Evaluation of genes involved in oxidative phosphorylation in yeast by developing a simple and rapid method to measure mitochondrial ATP synthetic activity
Published in
Microbial Cell Factories, April 2015
DOI 10.1186/s12934-015-0239-z
Pubmed ID
Authors

Xiaoting Ye, Kana Morikawa, Shih-Hsin Ho, Michihiro Araki, Keiji Nishida, Tomohisa Hasunuma, Kiyotaka Y Hara, Akihiko Kondo

Abstract

Measurement of mitochondrial ATP synthesis is a critical way to compare cellular energetic performance. However, fractionation of mitochondria requires large amounts of cells, lengthy purification procedures, and an extreme caution to avoid damaging intact mitochondria, making it the highest barrier to high-throughput studies of mitochondrial function. To evaluate 45 genes involved in oxidative phosphorylation in Saccharomyces cerevisiae, we aimed to develop a simple and rapid method to measure mitochondrial ATP synthesis. To obtain functional mitochondria, S. cerevisiae cells were lysed with zymolyase followed by two-step, low- then high-speed centrifugation. Using a firefly luciferin-luciferase assay, the ATP synthetic activity of the mitochondria was determined. Decreasing the ATP synthesis in the presence of mitochondrial inhibitors confirmed functionality of the isolated crude mitochondria. Deletion of genes encoding mitochondrial ATP synthesis-related protein showed their dependency on the oxidative phosphorylation in S. cerevisiae. Compared with conventional procedures, this measurement method for S. cerevisiae mitochondrial ATP synthetic activity in high-throughput (MASH method) is simple and requires a small amount of cells, making it suitable for high-throughput analyses. To our knowledge, this is the first report on a rapid purification process for yeast mitochondria suitable for high-throughput screening.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 3%
Canada 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 5 16%
Student > Bachelor 4 13%
Professor 2 6%
Student > Master 2 6%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 31%
Biochemistry, Genetics and Molecular Biology 8 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 April 2015.
All research outputs
#17,758,492
of 22,805,349 outputs
Outputs from Microbial Cell Factories
#1,121
of 1,598 outputs
Outputs of similar age
#162,478
of 237,867 outputs
Outputs of similar age from Microbial Cell Factories
#23
of 37 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,598 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.