| Title | Lung Tissue RNA-seq Data |
|---|---|
| Description | We analyzed 562,255 single lung cells from 222 participants using a pooled multiplexing approach and annotated cell types. We conducted eQTL studies in 17 lung cell types to understand allele-specific gene expression in Chinese individuals. We also linked bulk lung tissue expression from 219 samples to cell type-specific expression and investigated the impact of cell-level eQTLs on lung cancer risk. This effort resulted in a database for Chinese eQTLs and eGenes in lung cells, offering a resource for researchers to study genetic expression patterns. |
| Organism | Homo sapiens |
| Data Type | Expression Profiling |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA031182 |
| Release Date | 2026-03-06 |
| Submitter | Meng Zhu (zhmnjmu@njmu.edu.cn) |
| Organization | Nanjing Medical University |
| Submission Date | 2025-07-31 |
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 |
|---|---|---|---|---|---|---|
| OMIX011241-01 | Pooled_scRNAseq.expression.matrix | 1 | Expression Profiling | 616.91 MB | expression.matrix | Unavailable |
| OMIX011241-02 | Bulk_RNAseq.expression.matrix | 1 | Expression Profiling | 33.92 MB | expression.matrix | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Single-cell eQTL mapping reveals cell-type-specific genetic regulation in lung cancer | Cell Genomics | 2025-12 | OMIX011241 | Deposit |