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Generation of Induced Pluripotent Stem Cells from the Prairie Vole

Overview of attention for article published in PLOS ONE, May 2012
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Title
Generation of Induced Pluripotent Stem Cells from the Prairie Vole
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0038119
Pubmed ID
Authors

Devanand S. Manoli, Deepa Subramanyam, Catriona Carey, Erik Sudin, Julie A. Van Westerhuyzen, Karen L. Bales, Robert Blelloch, Nirao M. Shah

Abstract

The vast majority of animals mate more or less promiscuously. A few mammals, including humans, utilize more restrained mating strategies that entail a longer term affiliation with a single mating partner. Such pair bonding mating strategies have been resistant to genetic analysis because of a lack of suitable model organisms. Prairie voles are small mouse-like rodents that form enduring pair bonds in the wild as well as in the laboratory, and consequently they have been used widely to study social bonding behavior. The lack of targeted genetic approaches in this species however has restricted the study of the molecular and neural circuit basis of pair bonds. As a first step in rendering the prairie vole amenable to reverse genetics, we have generated induced pluripotent stem cell (IPSC) lines from prairie vole fibroblasts using retroviral transduction of reprogramming factors. These IPSC lines display the cellular and molecular hallmarks of IPSC cells from other organisms, including mice and humans. Moreover, the prairie vole IPSC lines have pluripotent differentiation potential since they can give rise to all three germ layers in tissue culture and in vivo. These IPSC lines can now be used to develop conditions that facilitate homologous recombination and eventually the generation of prairie voles bearing targeted genetic modifications to study the molecular and neural basis of pair bond formation.

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Geographical breakdown

Country Count As %
United States 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 35%
Researcher 7 18%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Professor 2 5%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Biochemistry, Genetics and Molecular Biology 7 18%
Neuroscience 7 18%
Psychology 3 8%
Veterinary Science and Veterinary Medicine 2 5%
Other 3 8%
Unknown 5 13%