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RNA Sequencing Reveals Differential Expression of Mitochondrial and Oxidation Reduction Genes in the Long-Lived Naked Mole-Rat When Compared to Mice

Overview of attention for article published in PLOS ONE, November 2011
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Title
RNA Sequencing Reveals Differential Expression of Mitochondrial and Oxidation Reduction Genes in the Long-Lived Naked Mole-Rat When Compared to Mice
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0026729
Pubmed ID
Authors

Chuanfei Yu, Yang Li, Andrew Holmes, Karol Szafranski, Chris G. Faulkes, Clive W. Coen, Rochelle Buffenstein, Matthias Platzer, João Pedro de Magalhães, George M. Church

Abstract

The naked mole-rat (Heterocephalus glaber) is a long-lived, cancer resistant rodent and there is a great interest in identifying the adaptations responsible for these and other of its unique traits. We employed RNA sequencing to compare liver gene expression profiles between naked mole-rats and wild-derived mice. Our results indicate that genes associated with oxidoreduction and mitochondria were expressed at higher relative levels in naked mole-rats. The largest effect is nearly 300-fold higher expression of epithelial cell adhesion molecule (Epcam), a tumour-associated protein. Also of interest are the protease inhibitor, alpha2-macroglobulin (A2m), and the mitochondrial complex II subunit Sdhc, both ageing-related genes found strongly over-expressed in the naked mole-rat. These results hint at possible candidates for specifying species differences in ageing and cancer, and in particular suggest complex alterations in mitochondrial and oxidation reduction pathways in the naked mole-rat. Our differential gene expression analysis obviated the need for a reference naked mole-rat genome by employing a combination of Illumina/Solexa and 454 platforms for transcriptome sequencing and assembling transcriptome contigs of the non-sequenced species. Overall, our work provides new research foci and methods for studying the naked mole-rat's fascinating characteristics.

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Geographical breakdown

Country Count As %
United States 9 4%
United Kingdom 6 3%
China 1 <1%
Unknown 190 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 28%
Researcher 34 17%
Student > Master 25 12%
Student > Bachelor 19 9%
Professor > Associate Professor 10 5%
Other 32 16%
Unknown 29 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 47%
Biochemistry, Genetics and Molecular Biology 46 22%
Medicine and Dentistry 8 4%
Neuroscience 5 2%
Immunology and Microbiology 4 2%
Other 14 7%
Unknown 32 16%