| Title |
Transcriptome Sequencing of Tumor Subpopulations Reveals a Spectrum of Therapeutic Options for Squamous Cell Lung Cancer
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0058714 |
| Pubmed ID | |
| Authors |
Christian L. Barrett, Richard B. Schwab, HyunChul Jung, Brian Crain, Daniel J. Goff, Catriona H. M. Jamieson, Patricia A. Thistlethwaite, Olivier Harismendy, Dennis A. Carson, Kelly A. Frazer |
| Abstract |
The only therapeutic options that exist for squamous cell lung carcinoma (SCC) are standard radiation and cytotoxic chemotherapy. Cancer stem cells (CSCs) are hypothesized to account for therapeutic resistance, suggesting that CSCs must be specifically targeted. Here, we analyze the transcriptome of CSC and non-CSC subpopulations by RNA-seq to identify new potential therapeutic strategies for SCC. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 50% |
| China | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 2% |
| United States | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 28% |
| Researcher | 14 | 26% |
| Student > Master | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 6 | 11% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 43% |
| Medicine and Dentistry | 10 | 19% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Computer Science | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 7 | 13% |