Fig. 1: Overview of the CellResDB design and data processing workflow.
From: Deciphering cancer therapy resistance via patient-level single-cell transcriptomics with CellResDB
Literature curation from public resources was conducted to gather cancer treatment response studies, and patient samples were classified as either response or non-response. The collected data were organized into expression matrices and clinical metadata from platforms such as GEO, Single Cell Portal, and Figshare. CellResDB provides two search modules: Cell Search, which explores changes in cell type proportions before and after treatment, and Gene Search, which examines treatment-related gene expression changes. In addition, CellResDB performs downstream analyses for each dataset, including cell annotation, TME composition, gene enrichment, and cell-cell communication. TME: tumor microenvironment.
