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Identification of a multienzyme complex for glucose metabolism in living cells

Overview of attention for article published in Journal of Biological Chemistry, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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13 X users
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Citations

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117 Mendeley
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Title
Identification of a multienzyme complex for glucose metabolism in living cells
Published in
Journal of Biological Chemistry, April 2017
DOI 10.1074/jbc.m117.783050
Pubmed ID
Authors

Casey L Kohnhorst, Minjoung Kyoung, Miji Jeon, Danielle L Schmitt, Erin L Kennedy, Julio Ramirez, Syrena M Bracey, Bao Tran Luu, Sarah J Russell, Songon An

Abstract

Sequential metabolic enzymes in glucose metabolism have long been hypothesized to form multienzyme complexes that regulate glucose flux in living cells. However, it has been challenging to directly observe these complexes and their functional roles in living systems. In this work, we have used wide-field and confocal fluorescence microscopy to investigate the spatial organization of metabolic enzymes participating in glucose metabolism in human cells. We provide compelling evidence that human liver-type phosphofructokinase 1 (PFKL), which catalyzes a bottleneck step of glycolysis, forms various sizes of cytoplasmic clusters in human cancer cells, independent of protein expression levels and of the choice of fluorescent tags. We also report that these PFKL clusters colocalize with other rate-limiting enzymes in both glycolysis and gluconeogenesis, supporting the formation of multienzyme complexes. Subsequent biophysical characterizations with fluorescence recovery after photobleaching (FRAP) and fluorescence resonance energy transfer (FRET) corroborate the formation of multienzyme metabolic complexes in living cells, which appears to be controlled by post-translational acetylation on PFKL. Importantly, quantitative high-content imaging assays indicated that the direction of glucose flux between glycolysis, the pentose phosphate pathway and serine biosynthesis seem to be spatially regulated by the multienzyme complexes in a cluster size-dependent manner. Collectively, our results reveal a functionally relevant, multienzyme metabolic complex for glucose metabolism in living human cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 17 15%
Student > Doctoral Student 11 9%
Student > Master 10 9%
Student > Bachelor 8 7%
Other 16 14%
Unknown 27 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 38%
Agricultural and Biological Sciences 14 12%
Chemistry 7 6%
Medicine and Dentistry 4 3%
Immunology and Microbiology 3 3%
Other 10 9%
Unknown 34 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 October 2022.
All research outputs
#2,955,123
of 25,382,440 outputs
Outputs from Journal of Biological Chemistry
#4,409
of 85,247 outputs
Outputs of similar age
#51,793
of 324,249 outputs
Outputs of similar age from Journal of Biological Chemistry
#48
of 403 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 324,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 403 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.