This webpage provides a matching tool for discovering potential treatments and transcriptional regulatory mechanisms. It displays information on condition-based (natural compound/small molecule/drug treatments and gene perturbations) transcriptional regulatory sub-networks (TRSNs) constructed from ChIP-X data and transcriptomic changes data after specific conditional treatments in cells. Users can identify the most closely matching TRSNs using a set of input Differentially Expressed Genes (DEGs) or search and browse TRSNs by inputting the condition, target gene, or transcription factor.
Two steps are required to perform an online conditional match:
You can choose "ALL TRSNs" or a TRSN collection of interest (categorized by condition or disease) as a matching reference. For example:
We provide sample data related to applications, or you can input your own differentially expressed profile (a list of DEGs and corresponding levels of alterations in terms of log2 fold change). For example, you can input gene expression alterations between normal and cancer tissues.
Click "Match", and the task will run for a few minutes. The page will update automatically upon completion. Do not close this page, or you may save the result link provided.
The matching result will display the top 10 potential networks that have been matched. The "score" reflects the contribution of different TRSNs fitting into the inputted transcriptomic changes. A larger magnitude of the score indicates a closer resemblance between the TRSN and the differential expression profile.
1."Categorized by diseases" → "TRSNs of breast cancer cell lines"
2."Use sample data" → "Breast cancer clinical samples vs. normal samples (TCGA-BRCA)"
Click the Network ID (e.g., CN314) to view a detailed page describing the TRSN. The following information is included:
Information about the corresponding condition will be specified, such as the type of condition/chemical used (compound/ligand/shRNA/overexpression/CRISPR, etc.), the chemical/small molecule name, chemical structure, molecular formula, molecular weight, and simplified molecular-input line-entry system (SMILES), as well as the clinical phase.
If you wish to conduct regulatory sub-network to transcriptomic alteration matching on a local server, please follow the instructions using the data and scripts downloaded from https://qinlab.sysu.edu.cn/corn/home/download_page
Users can search TRSNs by selecting "condition name", "condition dose", "condition time", or "cell line". The options are multi-select and allow blank entries (i.e., all-select).
Users can search TRSNs that include certain target genes. "Target gene" is a mandatory field.
Users can search TRSNs regulated by a specific transcription factor.
Users can browse the data based on the following filters: "Condition categories", "Tissue location", and "Cell line".