Common cell type nomenclature for the mammalian brain.

Common cell type nomenclature for the mammalian brain.
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DOI:
10.7554/elife.59928
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发表时间:
2020-12-29
期刊:
影响因子:
7.7
通讯作者:
Bernard A
Bernard A
中科院分区:
生物学1区
文献类型:
--
作者:
Miller JA;Gouwens NW;Tasic B;Collman F;van Velthoven CT;Bakken TE;Hawrylycz MJ;Zeng H;Lein ES;Bernard A

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单细胞rna测序技术的进步导致了多个器官和生物体中细胞类型定义的爆炸式增长。虽然数据和元数据摄取的标准正在出现,但细胞类型的组织在很大程度上留给了个人研究者,这导致了命名法的广泛差异和分类之间的有限一致性。为了便于跨数据集比较,Allen研究所创建了通用细胞类型命名法(CCN),用于匹配和跟踪研究中的细胞类型,这在质量上类似于跨不同基因组构建的基因转录管理。CCN可以很容易地应用于新的或已建立的分类法,并在此应用于来自多种可量化模式的不同细胞类型数据集。CCN有助于在哺乳动物皮层中分配准确而灵活的细胞类型名称,这是社区范围内努力组织来自任何生物体的多来源、数据驱动的与细胞类型分类相关的信息的一步。
The advancement of single-cell RNA-sequencing technologies has led to an explosion of cell type definitions across multiple organs and organisms. While standards for data and metadata intake are arising, organization of cell types has largely been left to individual investigators, resulting in widely varying nomenclature and limited alignment between taxonomies. To facilitate cross-dataset comparison, the Allen Institute created the common cell type nomenclature (CCN) for matching and tracking cell types across studies that is qualitatively similar to gene transcript management across different genome builds. The CCN can be readily applied to new or established taxonomies and was applied herein to diverse cell type datasets derived from multiple quantifiable modalities. The CCN facilitates assigning accurate yet flexible cell type names in the mammalian cortex as a step toward community-wide efforts to organize multi-source, data-driven information related to cell type taxonomies from any organism.