小柯机器人

英国惠康桑格研究所Omer Ali Bayraktar和Oliver Stegle小组取得一项新突破。他们利用Cell2location映射空间转录组学揭示了细粒度细胞类型。相关论文于2022年1月13日发表在《自然-生物技术》杂志上。

研究人员研发了一种贝叶斯模型-сell2location，用于解析空间转录组数据中细粒度细胞类型，并创建不同组织的综合细胞图。Cell2location综合了变异技术来源并运用跨位置统计模式，从而能够以比现有工具更高灵敏度和分辨率的方式集成单细胞和空间转录组学。研究人员评估了三种不同组织中的cell2location，其具有改进的细粒度细胞类型映射。

在小鼠大脑中，研究人员发现了横跨丘脑和下丘脑精细区域的星形胶质细胞亚型。在人类淋巴结中，研究人员在空间上发现了一个罕见的前生发中心B细胞群。在人体肠道中，cell2location描绘了淋巴滤泡中的精细免疫细胞群。总的来说，该结果表明cell2location可作为一种通用的分析工具，用于以全面的方式绘制组织结构图。

据了解，空间转录组技术可以揭示健康和疾病组织中细胞连接图，但对原位细胞类型的全面映射仍具有难度。

附：英文原文

Title: Cell2location maps fine-grained cell types in spatial transcriptomics

Author: Kleshchevnikov, Vitalii, Shmatko, Artem, Dann, Emma, Aivazidis, Alexander, King, Hamish W., Li, Tong, Elmentaite, Rasa, Lomakin, Artem, Kedlian, Veronika, Gayoso, Adam, Jain, Mika Sarkin, Park, Jun Sung, Ramona, Lauma, Tuck, Elizabeth, Arutyunyan, Anna, Vento-Tormo, Roser, Gerstung, Moritz, James, Louisa, Stegle, Oliver, Bayraktar, Omer Ali

Issue&Volume: 2022-01-13

Abstract: Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in health and disease, but comprehensive mapping of cell types in situ remains a challenge. Here we present сell2location, a Bayesian model that can resolve fine-grained cell types in spatial transcriptomic data and create comprehensive cellular maps of diverse tissues. Cell2location accounts for technical sources of variation and borrows statistical strength across locations, thereby enabling the integration of single-cell and spatial transcriptomics with higher sensitivity and resolution than existing tools. We assessed cell2location in three different tissues and show improved mapping of fine-grained cell types. In the mouse brain, we discovered fine regional astrocyte subtypes across the thalamus and hypothalamus. In the human lymph node, we spatially mapped a rare pre-germinal center B cell population. In the human gut, we resolved fine immune cell populations in lymphoid follicles. Collectively, our results present сell2location as a versatile analysis tool for mapping tissue architectures in a comprehensive manner. A Bayesian model maps the location of cell types in tissues with higher sensitivity.

DOI: 10.1038/s41587-021-01139-4

Source: https://www.nature.com/articles/s41587-021-01139-4

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