| Title |
Controlled Breast Cancer Microarrays for the Deconvolution of Cellular Multilayering and Density Effects upon Drug Responses
|
|---|---|
| Published in |
PLOS ONE, June 2012
|
| DOI | 10.1371/journal.pone.0040141 |
| Pubmed ID | |
| Authors |
Maria Håkanson, Stefan Kobel, Matthias P. Lutolf, Marcus Textor, Edna Cukierman, Mirren Charnley |
| Abstract |
Increasing evidence shows that the cancer microenvironment affects both tumorigenesis and the response of cancer to drug treatment. Therefore in vitro models that selectively reflect characteristics of the in vivo environment are greatly needed. Current methods allow us to screen the effect of extrinsic parameters such as matrix composition and to model the complex and three-dimensional (3D) cancer environment. However, 3D models that reflect characteristics of the in vivo environment are typically too complex and do not allow the separation of discrete extrinsic parameters. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| United Kingdom | 1 | 3% |
| Unknown | 32 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 39% |
| Researcher | 6 | 17% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 28% |
| Agricultural and Biological Sciences | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Materials Science | 4 | 11% |
| Medicine and Dentistry | 3 | 8% |
| Other | 2 | 6% |
| Unknown | 5 | 14% |