Single-cell transcriptomic profiling reveals the tumor heterogeneity of small-cell lung cancer
| Title | Single-cell transcriptomic profiling reveals the tumor heterogeneity of small-cell lung cancer |
|---|---|
| Description | Here, we performed high-precision single-cell transcriptomic analysis of ~5000 individual cells from primary tumors (PTs) and matched normal adjacent tissues (NATs) from 11 SCLC patients, including one patient with both PT and relapsed tumor (RT). We revealed a heterogeneous cellular architecture of this malignant cancer at single-cell resolution. |
| Organism | Homo sapiens |
| Data Type | Expression Profiling by NGS |
| Data Accessibility | Open-access |
| BioProject | PRJCA006026 |
| Release Date | 2024-02-28 |
| Submitter | Fuchou Tang (tangfuchou@pku.edu.cn) |
| Organization | Peking University |
| Submission Date | 2022-11-23 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX002441-01 | SCLC_cell_count_matrix | 1 | Expression Profiling by NGS | 237.24 MB | csv | 0 | |
| OMIX002441-02 | SCLC_cell_info | 1 | Expression Profiling by NGS | 344 KB | csv | 0 |