遇见数据集

Processed single cell lienage data in scLTdb

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Zenodo2024-06-22 更新2026-05-26 收录
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Single-cell lineage tracing (scLT) is a powerful technique that integrates DNA barcoding systems with single-cell sequencing technologies. This approach enables the simultaneous measurement of cell lineage and transcriptome or epigenomic profiles at the single-cell level. scLT technologies have been extensively employed in studying lineage relationships and cell fate heterogeneity across various biological systems. However, there is no comprehensive database available to users for searching, analyzing, visualizing, and downloading scLT data. Therefore, we developed scLTdb (scltdb.com), the first scLT database, containing 106 datasets across 36 scLT technologies. The database encompasses approximately 2.7 million cells across 13 tissues from 3 species. All datasets in scLTdb were manually curated and analyzed through a uniform workflow. scLTdb provides users with three distinct online modules designed specifically for visualizing and analyzing different modalities of scLT datasets. These modules include the Single Cell Module, which focuses on the analysis of the single cell modality; the Barcode Module, which is dedicated to the analysis of clone modality; and the Integrative Module, which facilitates the analysis of both single cell and clone modalities. Furthermore, scLTdb provides users with online tools to analyze user-provided scLT data. With these features, scLTdb aims to serve as a highly versatile platform, enabling users to conveniently explore and analyze published scLT datasets. Ultimately, scLTdb will play a vital role in promoting the advancement of modern biology.

单细胞谱系示踪(single-cell lineage tracing,scLT)是一种将DNA条形码系统与单细胞测序技术相结合的功能强大的技术。该方法可实现在单细胞层面同时检测细胞谱系与转录组或表观基因组特征。目前scLT技术已被广泛应用于多种生物系统的谱系关系及细胞命运异质性研究。然而,目前尚无可供用户用于检索、分析、可视化及下载scLT数据的综合性数据库。为此,我们构建了首个scLT数据库scLTdb(网址:scltdb.com),该数据库收录了基于36种scLT技术的106套数据集,涵盖来自3个物种、13种组织的约270万个细胞。scLTdb内的所有数据集均经过人工整理,并通过统一的分析流程完成标准化分析。scLTdb为用户提供了三个独立的在线模块,专门针对scLT数据集的不同模态开展可视化与分析工作:单细胞模块(Single Cell Module),专注于单细胞模态的数据分析;条形码模块(Barcode Module),致力于克隆模态的数据分析;以及整合模块(Integrative Module),可实现单细胞与克隆两种模态的联合分析。此外,scLTdb还为用户提供了在线分析工具,可用于处理用户自行上传的scLT数据。依托上述功能,scLTdb旨在打造一个高度通用的在线平台,方便用户便捷地探索与分析已发表的scLT数据集。最终,scLTdb将为推动现代生物学的发展发挥至关重要的作用。

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Zenodo
创建时间:
2024-06-20
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