iGPSC-DB 发布：推断单细胞遗传扰动图谱的数据库
iGPSC-DB: a comprehensive database for an inferred single-cell genetic perturbation atlas
哈尔滨医科大学团队在 Nucleic Acids Research 发布 iGPSC-DB，一个用于推断肿瘤微环境细胞与遗传扰动事件关联、解析细胞异质性响应的数据库。该库整理了 178 114 个靶向 7407 个基因的扰动事件与来自 1580 个样本、88 种癌症类型的 9 249 080 个单细胞的关联。数据库提供七项检索与分析工具，覆盖扰动事件与细胞及细胞类型的推断关联、扰动对细胞功能、发育轨迹和细胞间通讯的影响、不同扰动的组合效应、扰动对恶性细胞分化轨迹与功能状态的影响，以及扰动靶基因与临床生存结局的关联。作者称其可支持单细胞分辨率的基因功能、调控机制研究与肿瘤治疗靶点发现。
来源：Nucleic Acids Research · doi.org
Genetic perturbation-induced transcriptional reprogramming drastically remodels tumor cellular phenotypes and tumor microenvironment crosstalk. Unraveling the heterogeneous cellular responses to genetic perturbations is essential for the mechanistic dissection of tumors and the discovery of therapeutic targets. Here, we present iGPSC-DB (https://bio-bigdata.hrbmu.edu.cn/iGPSC-DB), a database designed to infer connections between tumor microenvironmental cells and diverse genetic perturbation events and to dissect the heterogeneous cellular responses to these perturbations. iGPSC-DB curates associations linking 178 114 perturbation events that target 7407 genes to 9 249 080 single cells from 1580 samples across 88 cancer types. iGPSC-DB also provides seven user-friendly tools for retrieving and analyzing: (i) inferred associations between genetic perturbation events and cells/cell types; (ii) the inferred perturbation–associated effects of perturbations on cellular functions, developmental trajectories, and cell–cell communication within the tissue microenvironment; (iii) the combined effects of different perturbations on cells, facilitating the design of combination therapeutic regimens; (iv) the impact of different perturbations on the differentiation trajectories and functional states of malignant cells; and (v) the association between perturbed target genes and clinical survival outcomes. iGPSC-DB will serve as a valuable resource to advance single-cell-resolution research on gene functions, regulatory mechanisms, and the discovery of tumor therapeutic targets.