Related Experiment Video
Updated: Jul 19, 2025

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
Published on: December 23, 2022
IMOPAC: A web server for interactive multiomics and pharmacological analyses of patient-derived cancer cell lines
Ganxun Li1,2,3, Dongyi Wan4, Junnan Liang1,2,3
1Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Abstract:
Large-scale multidimensional cancer genomic and pharmacological profiles have been created by several large consortium projects, including NCI-60, GDSC and DepMap, providing novel opportunities for data mining and further understanding of intrinsic therapeutic response mechanisms. However, it is increasingly challenging for experimental biologists, especially those without a bioinformatic background, to integrate, explore, and analyse these tremendous pharmacogenomics. To address this gap, IMOPAC, an interactive and easy-to-use web-based tool, was introduced to provide rapid visualizations and customizable functionalities on the basis of these three publicly available databases, which may reduce pharmacogenomic profiles from cell lines into readily understandable genetic, epigenetic, transcriptionomic, proteomic, metabolomic, and pharmacological events. The user-friendly query interface together with customized data storage enables users to interactively investigate and visualize multiomics alterations across genes and pathways and to link these alterations with drug responses across cell lines from diverse cancer types. The analyses in our portal include pancancer expression, drug-omics/pathway correlation, cancer subtypes, omics-omics (cis-/trans-regulation) correlation, fusion query analysis, and drug response prediction analysis. The comprehensive multiomics and pharmacogenomic analyses with simple clicking through IMOPAC will significantly benefit cancer precision medicine, contribute to the discoveries of potential biological mechanisms and facilitate pharmacogenomics mining in the identification of clinically actionable biomarkers for both basic researchers and clinical practitioners. IMOPAC is freely available at http://www.hbpding.com/IMOPAC.
Insights
IMOPAC is a web tool simplifying complex cancer pharmacogenomic data analysis for biologists. It integrates multiple databases, enabling visualization of multi-omics data and drug responses to advance precision medicine.
Area of Science:
- Genomics
- Pharmacology
- Bioinformatics
- Cancer Research
Background:
- Large-scale cancer genomic and pharmacological datasets (NCI-60, GDSC, DepMap) offer research opportunities.
- Integrating and analyzing these vast pharmacogenomic datasets is challenging for non-bioinformaticians.
Purpose of the Study:
- To introduce IMOPAC, an interactive web-based tool for exploring and visualizing multi-omics and pharmacogenomic data.
- To make complex cancer pharmacogenomic data accessible to experimental biologists.
Main Methods:
- Developed IMOPAC, a user-friendly web portal integrating NCI-60, GDSC, and DepMap databases.
- Implemented interactive query interfaces and customizable data storage for multi-omics analysis.
- Included analyses such as pancancer expression, drug-omics correlation, and drug response prediction.
Main Results:
- IMOPAC provides rapid visualizations and customizable functionalities for pharmacogenomic data.
- Users can interactively investigate multi-omics alterations and link them to drug responses across diverse cancer cell lines.
- The tool facilitates pancancer expression analysis, drug-omics/pathway correlation, and omics-omics correlation.
Conclusions:
- IMOPAC simplifies the analysis of comprehensive multi-omics and pharmacogenomic data.
- The tool aids in discovering biological mechanisms and identifying actionable biomarkers for cancer precision medicine.
- IMOPAC benefits both basic researchers and clinical practitioners in pharmacogenomics mining.

