In this panel, you can explore synthetic lethality (SL) and synthetic viability (SV) relationships between gene pairs.

The resource data is derived from CGIdb2.0 database, which compiles results from diverse experimental evidences, including CRISPR, shRNA, drug inhibition assays and text mining from SynLethDB 2.0 and 34 published studies

See the original paper for details.
Liu et al. Harnessing genetic interactions for prediction of immune checkpoint inhibitors response signature in cancer cells. Cancer Lett. 2024. [DOI] [PubMed]

Parameters:

• Gene: Input a gene/isoform or multiple genes of interest.
• Interaction Pattern: Select interaction pattern of interest.
• Tissue/Selected Datasets: Select tissue of interest in the "Tissue" field and click "add" to build dataset list in the "Selected Datasets" field. Also, manual input of tissue split by comma (e.g. pancancer,blood) is also acceptable.

Notes

• To account for methodological variability, each interaction is assigned a confidence score based on the reliability of the supporting evidence, see CGIdb2.0 database for the detail.
• When searching for a single gene, the displayed network graph highlights the top 10 nodes with the highest score related to the target gene within the selected datasets and interaction patterns.
• When searching for multiple genes, the displayed network graph the top 10 nodes with the highest degrees connected to the target genes within the selected datasets and interaction patterns.