LiverSCA:全面且用户友好的人类肝细胞癌细胞图谱。
LiverSCA: A comprehensive and user-friendly cell atlas in human hepatocellular carcinoma.
发表日期:2024 Dec
作者:
Renwen Long, Suoangbaji, Irene Oi-Lin Ng, Daniel Wai-Hung Ho
来源:
Computational and Structural Biotechnology Journal
摘要:
我们根据人类肝癌单细胞 RNA 测序数据开发了名为 LiverSCA 的细胞图谱。它具有用户友好的网络界面和全面的功能,旨在帮助研究人员轻松了解肝癌肿瘤微环境的细胞和分子景观。 LiverSCA 包括一个完整的分析流程,允许对各种功能进行机械探索,例如细胞聚类、细胞注释、差异表达基因的识别、功能富集分析、细胞串扰分析和伪时间轨迹分析。值得注意的是,我们直观的网络界面允许用户,特别是湿实验室研究人员,轻松探索和进行数据发现,而无需处理任何原始数据。© 2024 作者。由 Elsevier B.V. 代表计算和结构生物技术研究网络出版。
We developed a cell atlas named LiverSCA on human liver cancer single-cell RNA sequencing data. It has a user-friendly web interface and comprehensive functionalities aiming to help researchers to make easy access to cellular and molecular landscapes of the tumor microenvironment in liver cancer. LiverSCA includes a complete analytical pipeline that allow mechanistic exploration on a wide variety of functionalities, such as cell clustering, cell annotation, identification of differentially expressed genes, functional enrichment analysis, analysis of cellular crosstalk, and pseudo-time trajectory analysis. Notably, our intuitive web interface allows users, particularly wet-lab researchers, to easily explore and undertake data discovery, without the need to handle any of the raw data.© 2024 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.