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Hepatocyte Ploidy Is a Diversity Factor for Liver Homeostasis

Overview of attention for article published in Frontiers in Physiology, October 2017
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Title
Hepatocyte Ploidy Is a Diversity Factor for Liver Homeostasis
Published in
Frontiers in Physiology, October 2017
DOI 10.3389/fphys.2017.00862
Pubmed ID
Authors

Clemens Kreutz, Sabine MacNelly, Marie Follo, Astrid Wäldin, Petra Binninger-Lacour, Jens Timmer, María M. Bartolomé-Rodríguez

Abstract

Polyploidy, the existence of cells containing more than one pair of chromosomes, is a well-known feature of mammalian hepatocytes. Polyploid hepatocytes are found either as cells with a single polyploid nucleus or as multinucleated cells with diploid or even polyploid nuclei. In this study, we evaluate the degree of polyploidy in the murine liver by accounting both DNA content and number of nuclei per cell. We demonstrate that mouse hepatocytes with diploid nuclei have distinct metabolic characteristics compared to cells with polyploid nuclei. In addition to strong differential gene expression, comprising metabolic as well as signaling compounds, we found a strongly decreased insulin binding of nuclear polyploid cells. Our observations were associated with nuclear ploidy but not with total ploidy within a cell. We therefore suggest ploidy of the nuclei as an new diversity factor of hepatocytes and hypothesize that hepatocytes with polyploid nuclei may have distinct biological functions than mono-nuclear ones. This diversity is independent from the well-known heterogeneity related to the cells' position along the porto-central liver-axis.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 16%
Student > Ph. D. Student 9 14%
Student > Master 8 13%
Student > Doctoral Student 7 11%
Researcher 7 11%
Other 9 14%
Unknown 13 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 30%
Agricultural and Biological Sciences 11 17%
Medicine and Dentistry 6 10%
Engineering 3 5%
Mathematics 1 2%
Other 6 10%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 October 2022.
All research outputs
#15,327,399
of 23,570,677 outputs
Outputs from Frontiers in Physiology
#5,950
of 14,279 outputs
Outputs of similar age
#196,534
of 330,339 outputs
Outputs of similar age from Frontiers in Physiology
#164
of 347 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,279 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 51% 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 330,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 347 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.