Yu Miao, Sui Ke, Wang Zheng, Zhang Xi
Medical Center of Hematology; State Key Laboratory of Trauma and Chemical Poisoning;Chongqing Key Laboratory of Hematology and Microenvironment, Xinqiao Hospital of Army Medical University, Chongqing, 400037, China.
Bioengineering College of Chongqing University, Chongqing, 400044, China.
Exp Hematol Oncol. 2024 Mar 6;13(1):29. doi: 10.1186/s40164-024-00496-5.
Mesenchymal stem cells (MSCs) possess multipotent properties that make them promising candidates for immunomodulation and regenerative medicine. However, MSC heterogeneity poses challenges to their research reproducibility and clinical application. The emergence of single-cell RNA sequencing (scRNA-seq) technology has enabled a thorough examination of MSC heterogeneity, underscoring the necessity for a specialized platform to systematically analyze the published datasets derived from MSC scRNA-seq experiments. However, large-scale integration and in-depth exploration of MSC scRNA-seq datasets to comprehensively depict their developmental patterns, relationships, and knowledge are still lacking. Here, we present MSCsDB ( http://mscsdb.jflab.ac.cn:18088/index/ ), an interactive database that has been constructed using high-quality scRNA-seq datasets from all published sources on MSCs. MSCsDB provides a one-stop interactive query for regulon activities, gene ontology enrichment, signature gene visualization and transcription factor regulon analysis. Additionally, the dedicated module within MSCsDB was developed to facilitate the evaluation of MSC quality, thereby promoting the standardization of MSC subtype usage. Notably, MSCsDB enables users to analyze their MSCs scRNA-seq data directly, yielding visually appealing outputs of exceptional quality that can be conveniently downloaded via email. Furthermore, MSCsDB integrates the current comprehensive MSC atlas taxonomy, which includes 470,000 cells and 5 tissues from 26 subjects, as publicly available references. These references provide molecular characterization and phenotypic prediction for annotating MSC subsets. In summary, MSCsDB serves as a user-friendly and contemporary data repository for human MSCs, offering a dedicated platform that enables users to effectively conduct comprehensive analyses on their individual MSCs scRNA-seq data.
间充质干细胞(MSCs)具有多能特性,这使其成为免疫调节和再生医学领域颇具潜力的候选者。然而,MSC的异质性给其研究的可重复性和临床应用带来了挑战。单细胞RNA测序(scRNA-seq)技术的出现,使得对MSC异质性进行全面研究成为可能,这凸显了需要一个专门的平台来系统分析源自MSC scRNA-seq实验的已发表数据集。然而,目前仍缺乏对MSC scRNA-seq数据集进行大规模整合和深入探索,以全面描绘其发育模式、关系和知识。在此,我们展示了MSCsDB(http://mscsdb.jflab.ac.cn:18088/index/),这是一个交互式数据库,它是利用来自所有已发表的关于MSCs的高质量scRNA-seq数据集构建而成的。MSCsDB提供了一个一站式交互式查询,用于调控子活性、基因本体富集、特征基因可视化和转录因子调控子分析。此外,MSCsDB中的专用模块旨在促进对MSC质量的评估,从而推动MSC亚型使用的标准化。值得注意的是,MSCsDB允许用户直接分析他们的MSC scRNA-seq数据,生成视觉效果极佳的高质量输出结果,这些结果可以通过电子邮件方便地下载。此外,MSCsDB整合了当前全面的MSC图谱分类法,其中包括来自26个受试者的470,000个细胞和5种组织,作为公开可用的参考资料。这些参考资料为注释MSC亚群提供了分子特征和表型预测。总之,MSCsDB作为一个用户友好的当代人类MSC数据存储库,提供了一个专用平台,使用户能够有效地对其个人的MSC scRNA-seq数据进行全面分析。