|
| Status |
Public on Jul 12, 2017 |
| Title |
Phenotype-driven precision oncology in patient-derived tumor models predict therapeutic response in squamous cell carcinoma |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Comparison of single-cell transcriptomic profiles of cell lines obtained from the primary and metastatic tumor from a single patient.
|
| |
|
| Overall design |
Analysis of single-cell transcriptomic profiles of cell lines derived from the primary squamous cell carcinoma tumor and a metastatic lymph node tumor isolated from a single patient.
|
| |
|
| Contributor(s) |
Sengupta D |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
| |
| Submission date |
Jul 12, 2016 |
| Last update date |
May 15, 2019 |
| Contact name |
Debarka Sengupta |
| E-mail(s) |
debarka@gmail.com
|
| Organization name |
Indraprastha Institute of Information Technology
|
| Department |
Computational Biology and Computer Science
|
| Street address |
IIIT Delhi, Okhla Phase 3
|
| City |
Delhi |
| State/province |
Delhi |
| ZIP/Postal code |
110020 |
| Country |
India |
| |
|
| Platforms (1) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
|
| Samples (152)
|
|
| Relations |
| BioProject |
PRJNA329106 |
| SRA |
SRP078505 |
Less...
More...