| Title |
F11R Is a Novel Monocyte Prognostic Biomarker for Malignant Glioma
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0077571 |
| Pubmed ID | |
| Authors |
Winnie W. Pong, Jason Walker, Todd Wylie, Vincent Magrini, Jingqin Luo, Ryan J. Emnett, Jaebok Choi, Matthew L. Cooper, Malachi Griffith, Obi L. Griffith, Joshua B. Rubin, Gregory N. Fuller, David Piwnica-Worms, Xi Feng, Dolores Hambardzumyan, John F. DiPersio, Elaine R. Mardis, David H. Gutmann |
| Abstract |
Brain tumors (gliomas) contain large populations of infiltrating macrophages and recruited microglia, which in experimental murine glioma models promote tumor formation and progression. Among the barriers to understanding the contributions of these stromal elements to high-grade glioma (glioblastoma; GBM) biology is the relative paucity of tools to characterize infiltrating macrophages and resident microglia. In this study, we leveraged multiple RNA analysis platforms to identify new monocyte markers relevant to GBM patient outcome. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 78 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 23% |
| Researcher | 14 | 18% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 22% |
| Agricultural and Biological Sciences | 13 | 16% |
| Neuroscience | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Immunology and Microbiology | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 19 | 24% |