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University of Cambridge

Inhibition of oxidative metabolism leads to p53 genetic inactivation and transformation in neural stem cells

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
facebook
4 Facebook pages

Citations

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66 Dimensions

Readers on

mendeley
142 Mendeley
Title
Inhibition of oxidative metabolism leads to p53 genetic inactivation and transformation in neural stem cells
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2015
DOI 10.1073/pnas.1413165112
Pubmed ID
Authors

Stefano Bartesaghi, Vincenzo Graziano, Sara Galavotti, Nick V. Henriquez, Joanne Betts, Jayeta Saxena, Valentina Minieri, Deli A, Anna Karlsson, L. Miguel Martins, Melania Capasso, Pierluigi Nicotera, Sebastian Brandner, Vincenzo De Laurenzi, Paolo Salomoni

Abstract

Alterations of mitochondrial metabolism and genomic instability have been implicated in tumorigenesis in multiple tissues. High-grade glioma (HGG), one of the most lethal human neoplasms, displays genetic modifications of Krebs cycle components as well as electron transport chain (ETC) alterations. Furthermore, the p53 tumor suppressor, which has emerged as a key regulator of mitochondrial respiration at the expense of glycolysis, is genetically inactivated in a large proportion of HGG cases. Therefore, it is becoming evident that genetic modifications can affect cell metabolism in HGG; however, it is currently unclear whether mitochondrial metabolism alterations could vice versa promote genomic instability as a mechanism for neoplastic transformation. Here, we show that, in neural progenitor/stem cells (NPCs), which can act as HGG cell of origin, inhibition of mitochondrial metabolism leads to p53 genetic inactivation. Impairment of respiration via inhibition of complex I or decreased mitochondrial DNA copy number leads to p53 genetic loss and a glycolytic switch. p53 genetic inactivation in ETC-impaired neural stem cells is caused by increased reactive oxygen species and associated oxidative DNA damage. ETC-impaired cells display a marked growth advantage in the presence or absence of oncogenic RAS, and form undifferentiated tumors when transplanted into the mouse brain. Finally, p53 mutations correlated with alterations in ETC subunit composition and activity in primary glioma-initiating neural stem cells. Together, these findings provide previously unidentified insights into the relationship between mitochondria, genomic stability, and tumor suppressive control, with implications for our understanding of brain cancer pathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 1 <1%
Unknown 138 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 23%
Student > Ph. D. Student 25 18%
Other 24 17%
Student > Bachelor 11 8%
Student > Master 9 6%
Other 17 12%
Unknown 23 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 40%
Biochemistry, Genetics and Molecular Biology 20 14%
Neuroscience 11 8%
Medicine and Dentistry 9 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 11 8%
Unknown 30 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 November 2018.
All research outputs
#1,952,128
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#24,209
of 101,438 outputs
Outputs of similar age
#27,108
of 362,638 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#384
of 941 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 76% 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 362,638 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 941 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 59% of its contemporaries.