生物
追踪
细胞命运测定
细胞谱系
谱系(遗传)
计算生物学
接口(物质)
数据库
管道(软件)
计算机科学
基因
细胞分化
遗传学
转录因子
程序设计语言
肺表面活性物质
生物化学
吉布斯等温线
操作系统
作者
Junyao Jiang,Ye Xing,Yunhui Kong,Chenyu Guo,Mingyuan Zhang,Fang Cao,Yanxiao Zhang,Weike Pei
摘要
Abstract Single-cell lineage tracing (scLT) is a powerful technique that integrates cellular barcoding with single-cell sequencing technologies. This new approach enables the simultaneous measurement of cell fate and molecular profiles at single-cell resolution, uncovering the gene regulatory program of cell fate determination. However, a comprehensive scLT database is not yet available. Here, we present the single-cell lineage tracing database (scLTdb, https://scltdb.com) containing 109 datasets that are manually curated and analyzed through a standard pipeline. The scLTdb provides interactive analysis modules for visualizing and re-analyzing scLT datasets, especially the comprehensive cell fate analysis and lineage relationship analysis. Importantly, scLTdb also allows users to identify fate-related gene signatures. In conclusion, scLTdb provides an interactive interface of scLT data exploration and analysis, and will facilitate the understanding of cell fate decision and lineage commitment in development and diseases.
科研通智能强力驱动
Strongly Powered by AbleSci AI