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A Metabolomics Study of BPTES Altered Metabolism in Human Breast Cancer Cell Lines

Overview of attention for article published in Frontiers in Molecular Biosciences, May 2018
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
A Metabolomics Study of BPTES Altered Metabolism in Human Breast Cancer Cell Lines
Published in
Frontiers in Molecular Biosciences, May 2018
DOI 10.3389/fmolb.2018.00049
Pubmed ID
Authors

G. A. Nagana Gowda, Gregory A. Barding, Jin Dai, Haiwei Gu, Daciana H. Margineantu, David M. Hockenbery, Daniel Raftery

Abstract

The Warburg effect is a well-known phenomenon in cancer, but the glutamine addiction in which cancer cells utilize glutamine as an alternative source of energy is less well known. Recent efforts have focused on preventing cancer cell proliferation associated with glutamine addiction by targeting glutaminase using the inhibitor BPTES (bis-2-(5-phenylacetamido-1,3,4-thiadiazol-2-yl)ethyl sulfide). In the current study, an investigation of the BPTES induced changes in metabolism was made in two human breast cancer cell lines, MCF7 (an estrogen receptor dependent cell line) and MDA-MB231 (a triple negative cell line), relative to the non-cancerous cell line, MCF10A. NMR spectroscopy combined with a recently established smart-isotope tagging approach enabled quantitative analysis of 41 unique metabolites representing numerous metabolite classes including carbohydrates, amino acids, carboxylic acids and nucleotides. BPTES induced metabolism changes in the cancer cell lines were especially pronounced under hypoxic conditions with up to 1/3 of the metabolites altered significantly (p < 0.05) relative to untreated cells. The BPTES induced changes were more pronounced for MCF7 cells, with 14 metabolites altered significantly (p < 0.05) compared to seven for MDA-MB231. Analyses of the results indicate that BPTES affected numerous metabolic pathways including glycolysis, TCA cycle, nucleotide and amino acid metabolism in cancer. The distinct metabolic responses to BPTES treatment determined in the two breast cancer cell lines offer valuable metabolic information for the exploration of the therapeutic responses to breast cancer.

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The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 8 14%
Student > Master 6 10%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 8 14%
Unknown 15 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 29%
Agricultural and Biological Sciences 7 12%
Chemistry 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Immunology and Microbiology 3 5%
Other 7 12%
Unknown 16 28%
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 26 August 2021.
All research outputs
#7,309,982
of 23,053,613 outputs
Outputs from Frontiers in Molecular Biosciences
#684
of 3,890 outputs
Outputs of similar age
#126,202
of 326,925 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#10
of 32 outputs
Altmetric has tracked 23,053,613 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,890 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 81% 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 326,925 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 60% of its contemporaries.
We're also able to compare this research output to 32 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 68% of its contemporaries.