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Metabolic control analysis of respiration in human cancer tissue

Overview of attention for article published in Frontiers in Physiology, January 2013
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Title
Metabolic control analysis of respiration in human cancer tissue
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00151
Pubmed ID
Authors

Tuuli Kaambre, Vladimir Chekulayev, Igor Shevchuk, Kersti Tepp, Natalja Timohhina, Minna Varikmaa, Rafaela Bagur, Aleksandr Klepinin, Tiia Anmann, Andre Koit, Andrus Kaldma, Rita Guzun, Vahur Valvere, Valdur Saks

Abstract

Bioenergetic profiling of cancer cells is of great potential because it can bring forward new and effective therapeutic strategies along with early diagnosis. Metabolic Control Analysis (MCA) is a methodology that enables quantification of the flux control exerted by different enzymatic steps in a metabolic network thus assessing their contribution to the system's function. Our main goal is to demonstrate the applicability of MCA for in situ studies of energy metabolism in human breast and colorectal cancer cells as well as in normal tissues. We seek to determine the metabolic conditions leading to energy flux redirection in cancer cells. A main result obtained is that the adenine nucleotide translocator exhibits the highest control of respiration in human breast cancer thus becoming a prospective therapeutic target. Additionally, we present evidence suggesting the existence of mitochondrial respiratory supercomplexes that may represent a way by which cancer cells avoid apoptosis. The data obtained show that MCA applied in situ can be insightful in cancer cell energetic research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Professor > Associate Professor 7 14%
Student > Bachelor 6 12%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 4 8%
Other 11 22%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 43%
Biochemistry, Genetics and Molecular Biology 19 39%
Medicine and Dentistry 3 6%
Neuroscience 2 4%
Computer Science 1 2%
Other 0 0%
Unknown 3 6%
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 28 June 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from Frontiers in Physiology
#9,302
of 13,524 outputs
Outputs of similar age
#248,765
of 280,743 outputs
Outputs of similar age from Frontiers in Physiology
#243
of 398 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,524 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 280,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.