| Title |
MicroRNAs Targeting Oncogenes Are Down-Regulated in Pancreatic Malignant Transformation from Benign Tumors
|
|---|---|
| Published in |
PLOS ONE, February 2012
|
| DOI | 10.1371/journal.pone.0032068 |
| Pubmed ID | |
| Authors |
Long R. Jiao, Adam E. Frampton, Jimmy Jacob, Loredana Pellegrino, Jonathan Krell, Georgios Giamas, Nicole Tsim, Panagiotis Vlavianos, Patrizia Cohen, Raida Ahmad, Andreas Keller, Nagy A. Habib, Justin Stebbing, Leandro Castellano |
| Abstract |
MicroRNA (miRNA) expression profiles have been described in pancreatic ductal adenocarcinoma (PDAC), but these have not been compared with pre-malignant pancreatic tumors. We wished to compare the miRNA expression signatures in pancreatic benign cystic tumors (BCT) of low and high malignant potential with PDAC, in order to identify miRNAs deregulated during PDAC development. The mechanistic consequences of miRNA dysregulation were further evaluated. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Unknown | 85 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Researcher | 15 | 17% |
| Student > Master | 10 | 11% |
| Student > Doctoral Student | 10 | 11% |
| Student > Bachelor | 6 | 7% |
| Other | 17 | 19% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 26% |
| Biochemistry, Genetics and Molecular Biology | 22 | 25% |
| Medicine and Dentistry | 18 | 20% |
| Computer Science | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 11 | 13% |
| Unknown | 10 | 11% |