Institute for Cell Engineering, Department of Biomedical Engineering, Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy d Department of Translational Medicine, University of Naples "Federico II," Naples, Italy.
Cell Stem Cell. 2021 Jan 7;28(1):20-32. doi: 10.1016/j.stem.2020.12.012.
Computational biology is enabling an explosive growth in our understanding of stem cells and our ability to use them for disease modeling, regenerative medicine, and drug discovery. We discuss four topics that exemplify applications of computation to stem cell biology: cell typing, lineage tracing, trajectory inference, and regulatory networks. We use these examples to articulate principles that have guided computational biology broadly and call for renewed attention to these principles as computation becomes increasingly important in stem cell biology. We also discuss important challenges for this field with the hope that it will inspire more to join this exciting area.
计算生物学正在使我们对干细胞的理解以及我们利用它们进行疾病建模、再生医学和药物发现的能力得到爆炸式的增长。我们讨论了四个应用计算来研究干细胞生物学的例子：细胞分型、谱系追踪、轨迹推断和调控网络。我们使用这些例子阐明了指导计算生物学的一般原则，并呼吁在计算在干细胞生物学中变得越来越重要时，重新关注这些原则。我们还讨论了该领域的重要挑战，希望这将激发更多的人加入这个令人兴奋的领域。
