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Comparative RNA-seq Analysis in the Unsequenced Axolotl: The Oncogene Burst Highlights Early Gene Expression in the Blastema

Overview of attention for article published in PLoS Computational Biology, March 2013
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Title
Comparative RNA-seq Analysis in the Unsequenced Axolotl: The Oncogene Burst Highlights Early Gene Expression in the Blastema
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1002936
Pubmed ID
Authors

Ron Stewart, Cynthia Alexander Rascón, Shulan Tian, Jeff Nie, Chris Barry, Li-Fang Chu, Hamisha Ardalani, Ryan J. Wagner, Mitchell D. Probasco, Jennifer M. Bolin, Ning Leng, Srikumar Sengupta, Michael Volkmer, Bianca Habermann, Elly M. Tanaka, James A. Thomson, Colin N. Dewey

Abstract

The salamander has the remarkable ability to regenerate its limb after amputation. Cells at the site of amputation form a blastema and then proliferate and differentiate to regrow the limb. To better understand this process, we performed deep RNA sequencing of the blastema over a time course in the axolotl, a species whose genome has not been sequenced. Using a novel comparative approach to analyzing RNA-seq data, we characterized the transcriptional dynamics of the regenerating axolotl limb with respect to the human gene set. This approach involved de novo assembly of axolotl transcripts, RNA-seq transcript quantification without a reference genome, and transformation of abundances from axolotl contigs to human genes. We found a prominent burst in oncogene expression during the first day and blastemal/limb bud genes peaking at 7 to 14 days. In addition, we found that limb patterning genes, SALL genes, and genes involved in angiogenesis, wound healing, defense/immunity, and bone development are enriched during blastema formation and development. Finally, we identified a category of genes with no prior literature support for limb regeneration that are candidates for further evaluation based on their expression pattern during the regenerative process.

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The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Spain 2 <1%
Slovakia 1 <1%
Taiwan 1 <1%
Mexico 1 <1%
Portugal 1 <1%
Russia 1 <1%
Korea, Republic of 1 <1%
Other 2 <1%
Unknown 219 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 26%
Researcher 50 21%
Student > Master 22 9%
Student > Bachelor 19 8%
Professor > Associate Professor 14 6%
Other 38 16%
Unknown 32 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 105 44%
Biochemistry, Genetics and Molecular Biology 68 29%
Medicine and Dentistry 7 3%
Neuroscience 6 3%
Computer Science 4 2%
Other 10 4%
Unknown 36 15%