| Title | Deciphering the oncogenic landscape of hepatocytes through integrated single-nucleus and bulk RNA-seq of hepatocellular carcinoma |
|---|---|
| Description | By combining snRNA-seq and bulk RNA-seq, this study identified key hepatocyte subtypes, genes, and pathways in HCC. It established a Quantile Distribution Model, providing potential targets for HCC diagnosis and treatment. It classified HCC into metabolic, inflammatory, and matrix classes, with sensitive drugs screened for each. The findings offer insights into HCC's oncogenic landscape and future applications. |
| Organism | Homo sapiens |
| Data Type | Other type of Microarray Data |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA024043 |
| Release Date | 2024-12-24 |
| Submitter | xinghua pan (PanVictor@qq.com) |
| Organization | Southern Medical University |
| Submission Date | 2024-12-23 |
The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX008374-01 | bRNA-seq_expression | 55 | Other type of Microarray Data | 7.26 MB | rds | Unavailable |
| OMIX008374-02 | snRNA-seq_expression | 22 | Other type of Microarray Data | 414.2 MB | rds | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Deciphering the Oncogenic Landscape of Hepatocytes Through Integrated Single‐Nucleus and Bulk RNA‐Seq of Hepatocellular Carcinoma | Advanced Science | 2025-02 | OMIX008374 | Deposit |