Predicting transcriptional responses to novel chemical perturbations using deep generative model
Title | Predicting transcriptional responses to novel chemical perturbations using deep generative model |
---|---|
Description | Understanding transcriptional responses to chemical perturbations is central to drug discovery, but exhaustive experimental high-throughput screening of disease and compound combinations is unfeasible. To overcome this limitation, we present a perturbation-conditioned deep generative model named PRnet for predicting transcriptional responses to novel chemical perturbations that were never experimentally perturbed at bulk and single-cell levels. PRnet screened four compound libraries and generated a large-scale integration atlas of perturbation profiles, including 1) 82 cell lines perturbed by 935 FDA-approved drugs, 2) 88 cell lines perturbed by 4,158 active compounds, 3) 14 CRC cell lines perturbed by 30,456 natural compounds, 4) 6 SCLC cell lines perturbed by 29,670 drug-like compounds and 5) 54 tissues perturbed by 935 FDA-approved drugs. |
Organism | Homo |
Data Type | Other Type of Genomic Data |
Data Accessibility | Open-access |
BioProject | PRJCA028278 |
Release Date | 2024-07-22 |
Submitter | Xiaoning Qi (qixiaoning19s@ict.ac.cn) |
Organization | Institute of Computing Technology, Chinese Academy of Sciences |
Submission Date | 2024-07-19 |
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 |
---|---|---|---|---|---|---|---|
OMIX006910-01 | The Inhibitor and Active Compound Metadata | 1 | Other Type of Genomic Data | 760.34 KB | csv | 0 | |
OMIX006910-02 | The CREEDS Disease Metadata | 1 | Other Type of Genomic Data | 271.17 KB | csv | 0 | |
OMIX006910-03 | The Sciplex Compound Metadata | 1 | Other Type of Genomic Data | 31.73 KB | csv | 0 | |
OMIX006910-04 | The Natura Compound Metadata | 1 | Other Type of Genomic Data | 10.42 MB | csv | 0 | |
OMIX006910-05 | The L1000 Cell Line Metadata | 1 | Other Type of Genomic Data | 10.48 KB | csv | 0 | |
OMIX006910-06 | The Sciplex Cell Line Metadata | 1 | Other Type of Genomic Data | 607 B | csv | 0 | |
OMIX006910-07 | Predicted Signature of Inhibitor and Active Compounds | 1 | Other Type of Genomic Data | 181.25 MB | csv | 0 | |
OMIX006910-08 | Predicted Signature of SCLC Cell Lines | 1 | Other Type of Genomic Data | 104.49 MB | csv | 0 | |
OMIX006910-09 | Predicted Signature of Gtex Tissues | 1 | Other Type of Genomic Data | 11.37 GB | csv | 0 | |
OMIX006910-10 | Predicted Signature of FDA Approved Drugs | 1 | Other Type of Genomic Data | 137.18 MB | csv | 0 | |
OMIX006910-11 | The CREEDS Disease Signature | 1 | Other Type of Genomic Data | 18.52 MB | csv | 0 | |
OMIX006910-12 | The FDA Approved Drug Metadata | 1 | Other Type of Genomic Data | 120.66 KB | csv | 0 | |
OMIX006910-13 | The L1000 Compound Metadata | 1 | Other Type of Genomic Data | 3.73 MB | csv | 0 |