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Uncoupling Protein 2 and 4 Expression Pattern during Stem Cell Differentiation Provides New Insight into Their Putative Function

Overview of attention for article published in PLOS ONE, February 2014
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Title
Uncoupling Protein 2 and 4 Expression Pattern during Stem Cell Differentiation Provides New Insight into Their Putative Function
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0088474
Pubmed ID
Authors

Anne Rupprecht, Dana Sittner, Alina Smorodchenko, Karolina E. Hilse, Justus Goyn, Rudolf Moldzio, Andrea E. M. Seiler, Anja U. Bräuer, Elena E. Pohl

Abstract

Apart from the first family member, uncoupling protein 1 (UCP1), the functions of other UCPs (UCP2-UCP5) are still unknown. In analyzing our own results and those previously published by others, we have assumed that UCP's cellular expression pattern coincides with a specific cell metabolism and changes if the latter is altered. To verify this hypothesis, we analyzed the expression of UCP1-5 in mouse embryonic stem cells before and after their differentiation to neurons. We have shown that only UCP2 is present in undifferentiated stem cells and it disappears simultaneously with the initiation of neuronal differentiation. In contrast, UCP4 is simultaneously up-regulated together with typical neuronal marker proteins TUJ-1 and NeuN during mESC differentiation in vitro as well as during murine brain development in vivo. Notably, several tested cell lines express UCP2, but not UCP4. In line with this finding, neuroblastoma cells that display metabolic features of tumor cells express UCP2, but not UCP4. UCP2's occurrence in cancer, immunological and stem cells indicates that UCP2 is present in cells with highly proliferative potential, which have a glycolytic type of metabolism as a common feature, whereas UCP4 is strongly associated with non-proliferative highly differentiated neuronal cells.

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Geographical breakdown

Country Count As %
Spain 1 2%
Russia 1 2%
Germany 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Professor 8 15%
Researcher 7 13%
Student > Bachelor 6 11%
Student > Doctoral Student 6 11%
Other 10 19%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 31%
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 5 9%
Neuroscience 4 7%
Nursing and Health Professions 1 2%
Other 4 7%
Unknown 10 19%