这篇文章介绍了 Cell Marker Accordion，这是一个新颖的、用户友好的旨在解决单细胞和空间组学数据中细胞类型和状态注释的挑战。 文章指出，现有工具和数据库使用不一致的标记物，导致注释结果不一致，特别是在疾病研究中，这些工具的局限性更为明显。 Cell Marker Accordion 平台整合了多个标记物数据库，并根据标记物的一致性和特异性进行加权，从而提供自动且更易于生物学解释的注释。 经过多个人类和小鼠数据集的验证，该工具在提高注释准确性方面优于现有方法，并展示了其在识别疾病关键细胞、异常状态和潜在生物标志物方面的应用潜力。 Cell Marker Accordion 提供了一个 R 包和一个交互式的 Shiny Web 应用程序，使研究人员能够快速、灵活、准确地分析生理学和疾病背景下的细胞群。References: Busarello E, Biancon G, Cimignolo I, et al. Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease[J]. Nature Communications, 2025, 16(1): 5399.
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