| Title |
Single Cell Profiling of Circulating Tumor Cells: Transcriptional Heterogeneity and Diversity from Breast Cancer Cell Lines
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0033788 |
| Pubmed ID | |
| Authors |
Ashley A. Powell, AmirAli H. Talasaz, Haiyu Zhang, Marc A. Coram, Anupama Reddy, Glenn Deng, Melinda L. Telli, Ranjana H. Advani, Robert W. Carlson, Joseph A. Mollick, Shruti Sheth, Allison W. Kurian, James M. Ford, Frank E. Stockdale, Stephen R. Quake, R. Fabian Pease, Michael N. Mindrinos, Gyan Bhanot, Shanaz H. Dairkee, Ronald W. Davis, Stefanie S. Jeffrey |
| Abstract |
To improve cancer therapy, it is critical to target metastasizing cells. Circulating tumor cells (CTCs) are rare cells found in the blood of patients with solid tumors and may play a key role in cancer dissemination. Uncovering CTC phenotypes offers a potential avenue to inform treatment. However, CTC transcriptional profiling is limited by leukocyte contamination; an approach to surmount this problem is single cell analysis. Here we demonstrate feasibility of performing high dimensional single CTC profiling, providing early insight into CTC heterogeneity and allowing comparisons to breast cancer cell lines widely used for drug discovery. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| Australia | 2 | 13% |
| Canada | 1 | 6% |
| United Kingdom | 1 | 6% |
| Japan | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Scientists | 4 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 576 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 2% |
| United Kingdom | 4 | <1% |
| Spain | 3 | <1% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Japan | 2 | <1% |
| South Africa | 2 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Other | 13 | 2% |
| Unknown | 533 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 156 | 27% |
| Researcher | 122 | 21% |
| Student > Master | 57 | 10% |
| Student > Bachelor | 42 | 7% |
| Professor > Associate Professor | 32 | 6% |
| Other | 107 | 19% |
| Unknown | 60 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 179 | 31% |
| Medicine and Dentistry | 82 | 14% |
| Biochemistry, Genetics and Molecular Biology | 79 | 14% |
| Engineering | 77 | 13% |
| Chemistry | 34 | 6% |
| Other | 47 | 8% |
| Unknown | 78 | 14% |