Computational and Structural Biotechnology Journal (Dec 2024)

LiverSCA: A comprehensive and user-friendly cell atlas in human hepatocellular carcinoma

  • Renwen Long,
  • Suoangbaji,
  • Irene Oi-Lin Ng,
  • Daniel Wai-Hung Ho

Journal volume & issue
Vol. 23
pp. 2740 – 2745

Abstract

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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.

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