| Title |
Genomic Models of Short-Term Exposure Accurately Predict Long-Term Chemical Carcinogenicity and Identify Putative Mechanisms of Action
|
|---|---|
| Published in |
PLOS ONE, July 2014
|
| DOI | 10.1371/journal.pone.0102579 |
| Pubmed ID | |
| Authors |
Daniel Gusenleitner, Scott S. Auerbach, Tisha Melia, Harold F. Gómez, David H. Sherr, Stefano Monti |
| Abstract |
Despite an overall decrease in incidence of and mortality from cancer, about 40% of Americans will be diagnosed with the disease in their lifetime, and around 20% will die of it. Current approaches to test carcinogenic chemicals adopt the 2-year rodent bioassay, which is costly and time-consuming. As a result, fewer than 2% of the chemicals on the market have actually been tested. However, evidence accumulated to date suggests that gene expression profiles from model organisms exposed to chemical compounds reflect underlying mechanisms of action, and that these toxicogenomic models could be used in the prediction of chemical carcinogenicity. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 75% |
| Ireland | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Mexico | 1 | 1% |
| United States | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 70 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Ph. D. Student | 12 | 16% |
| Other | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 14 | 19% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 9% |
| Computer Science | 7 | 9% |
| Medicine and Dentistry | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Other | 11 | 15% |
| Unknown | 18 | 24% |