| Title |
Integrated Proteomics Identified Up-Regulated Focal Adhesion-Mediated Proteins in Human Squamous Cell Carcinoma in an Orthotopic Murine Model
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0098208 |
| Pubmed ID | |
| Authors |
Daniela C. Granato, Mariana R. Zanetti, Rebeca Kawahara, Sami Yokoo, Romênia R. Domingues, Annelize Z. Aragão, Michelle Agostini, Marcelo F. Carazzolle, Ramon O. Vidal, Isadora L. Flores, Johanna Korvala, Nilva K. Cervigne, Alan R. S. Silva, Ricardo D. Coletta, Edgard Graner, Nicholas E. Sherman, Adriana F. Paes Leme |
| Abstract |
Understanding the molecular mechanisms of oral carcinogenesis will yield important advances in diagnostics, prognostics, effective treatment, and outcome of oral cancer. Hence, in this study we have investigated the proteomic and peptidomic profiles by combining an orthotopic murine model of oral squamous cell carcinoma (OSCC), mass spectrometry-based proteomics and biological network analysis. Our results indicated the up-regulation of proteins involved in actin cytoskeleton organization and cell-cell junction assembly events and their expression was validated in human OSCC tissues. In addition, the functional relevance of talin-1 in OSCC adhesion, migration and invasion was demonstrated. Taken together, this study identified specific processes deregulated in oral cancer and provided novel refined OSCC-targeting molecules. |
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 % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 7% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 23% |
| Researcher | 6 | 20% |
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Other | 5 | 17% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 30% |
| Medicine and Dentistry | 7 | 23% |
| Agricultural and Biological Sciences | 5 | 17% |
| Computer Science | 2 | 7% |
| Engineering | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 3 | 10% |