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神经元环境 RNA 污染导致大脑单细胞数据集被错误解读和掩盖的细胞类型。

Neuronal ambient RNA contamination causes misinterpreted and masked cell types in brain single-nuclei datasets.

机构信息

Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA; Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA.

Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA; Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA.

出版信息

Neuron. 2022 Dec 21;110(24):4043-4056.e5. doi: 10.1016/j.neuron.2022.09.010. Epub 2022 Oct 13.

Abstract

Ambient RNA contamination in single-cell and single-nuclei RNA sequencing (snRNA-seq) is a significant problem, but its consequences are poorly understood. Here, we show that ambient RNAs in brain snRNA-seq datasets have a nuclear or non-nuclear origin with distinct gene set signatures. Both ambient RNA signatures are predominantly neuronal, and we find that some previously annotated neuronal cell types are distinguished by ambient RNA contamination. We detect pervasive neuronal ambient RNA contamination in all glial cell types unless glia and neurons are physically separated prior to sequencing. We demonstrate that this contamination can be removed in silico and show that previous single-nuclei RNA-seq-based annotations of immature oligodendrocytes are glial nuclei contaminated with ambient RNAs. After ambient RNA removal, we detect rare, committed oligodendrocyte progenitor cells not annotated in most previous adult human brain datasets. Together, these results provide an in-depth analysis of ambient RNA contamination in brain single-nuclei datasets.

摘要

单细胞和单细胞核 RNA 测序(snRNA-seq)中的环境 RNA 污染是一个严重的问题,但人们对此知之甚少。在这里,我们表明,脑组织 snRNA-seq 数据集中的环境 RNA 具有核或非核起源,并具有不同的基因集特征。这两种环境 RNA 特征主要是神经元的,我们发现一些先前注释的神经元细胞类型因环境 RNA 污染而不同。我们在所有神经胶质细胞类型中都检测到普遍存在的神经元环境 RNA 污染,除非在测序前将神经胶质细胞和神经元物理分离。我们证明可以在计算机上去除这种污染,并表明以前基于单细胞核 RNA-seq 的未成熟少突胶质细胞注释是受环境 RNA 污染的神经胶质细胞核。去除环境 RNA 后,我们检测到了一些罕见的、已确定的少突胶质前体细胞,而这些细胞在大多数之前的成人大脑数据集都没有被注释到。总之,这些结果提供了对脑组织单细胞核数据集环境 RNA 污染的深入分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a2d/9789184/e8cd9a87c147/nihms-1837247-f0001.jpg

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