1. The original intention of SDDB

The heterogeneity of cells is closely related to the emergence of drug resistance in tumor treatment and immune responses. A systematic study of cell heterogeneity will contribute to the research of treatment methods for tumors and neurodegenerative diseases, as well as the design of therapeutic drugs. Single-cell RNA sequencing (scRNA-seq) is currently a widely used genomics technology. The generation of a large amount of single-cell data helps us investigate the drug responses of cells under various therapeutic conditions and explore transcriptional differences. The compilation and collection of these data are highly meaningful for the treatment of various diseases.

2. Data collection

116 Publications were obtained by searching NCBI PubMed using keyword "((single-cell[Title]) OR (single cell[Title])) AND ((antibody[Title/Abstract]) OR (small molecule[Title/Abstract]) OR (therapy[Title/Abstract]) OR (drug[Title/Abstract])) AND ("2009/04/06"[Date - Publication] : "2024/01/17"[Date - Publication])".We have curated a total of 137 individual processed scRNA-seq datasets from these articles, which have undergone standardized preprocessing procedures. Additionally, we have included download links for these datasets in the database, along with various automated single-cell annotation and clustering results.

3. Entry Classification

We categorized the drug treatment and sequencing methods used in our collected data into three groups: post treatment, pre&post treatment, and pre treatmet. Based on these classifications, we provided detailed explanations in our articles. Specifically, we performed analyses on the pre&post treatment data, focusing on the heterogeneity of cellular responses to drug treatments. We outlined the ways and methodologies in which the data can be utilized effectively.We have classified the collected data based on disease categories, with primary classifications including solid tumors, non-solid tumors, and other diseases encompassing neurodegenerative disorders, viral infections, inflammation, and congenital diseases.