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Dicer Regulates Differentiation and Viability during Mouse Pancreatic Cancer Initiation

Overview of attention for article published in PLOS ONE, May 2014
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Title
Dicer Regulates Differentiation and Viability during Mouse Pancreatic Cancer Initiation
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0095486
Pubmed ID
Authors

John P. Morris, Renee Greer, Holger A. Russ, Guido von Figura, Grace E. Kim, Anke Busch, Jonghyeob Lee, Klemens J. Hertel, Seung Kim, Michael Mcmanus, Matthias Hebrok

Abstract

miRNA levels are altered in pancreatic ductal adenocarcinoma (PDA), the most common and lethal pancreatic malignancy, and intact miRNA processing is essential for lineage specification during pancreatic development. However, the role of miRNA processing in PDA has not been explored. Here we study the role of miRNA biogenesis in PDA development by deleting the miRNA processing enzyme Dicer in a PDA mouse model driven by oncogenic Kras. We find that loss of Dicer accelerates Kras driven acinar dedifferentiation and acinar to ductal metaplasia (ADM), a process that has been shown to precede and promote the specification of PDA precursors. However, unconstrained ADM also displays high levels of apoptosis. Dicer loss does not accelerate development of Kras driven PDA precursors or PDA, but surprisingly, we observe that mouse PDA can develop without Dicer, although at the expense of proliferative capacity. Our data suggest that intact miRNA processing is involved in both constraining pro-tumorigenic changes in pancreatic differentiation as well as maintaining viability during PDA initiation.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Student > Doctoral Student 4 11%
Professor 3 9%
Other 3 9%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Medicine and Dentistry 10 29%
Biochemistry, Genetics and Molecular Biology 5 14%
Veterinary Science and Veterinary Medicine 1 3%
Unknown 8 23%