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对发育中的小鼠前脑可及染色质进行单核分析,揭示了细胞类型特异性转录调控。

Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation.

作者信息

Preissl Sebastian, Fang Rongxin, Huang Hui, Zhao Yuan, Raviram Ramya, Gorkin David U, Zhang Yanxiao, Sos Brandon C, Afzal Veena, Dickel Diane E, Kuan Samantha, Visel Axel, Pennacchio Len A, Zhang Kun, Ren Bing

机构信息

Ludwig Institute for Cancer Research, La Jolla, CA, USA.

Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, School of Medicine, La Jolla, CA, USA.

出版信息

Nat Neurosci. 2018 Mar;21(3):432-439. doi: 10.1038/s41593-018-0079-3. Epub 2018 Feb 12.

Abstract

Analysis of chromatin accessibility can reveal transcriptional regulatory sequences, but heterogeneity of primary tissues poses a significant challenge in mapping the precise chromatin landscape in specific cell types. Here we report single-nucleus ATAC-seq, a combinatorial barcoding-assisted single-cell assay for transposase-accessible chromatin that is optimized for use on flash-frozen primary tissue samples. We apply this technique to the mouse forebrain through eight developmental stages. Through analysis of more than 15,000 nuclei, we identify 20 distinct cell populations corresponding to major neuronal and non-neuronal cell types. We further define cell-type-specific transcriptional regulatory sequences, infer potential master transcriptional regulators and delineate developmental changes in forebrain cellular composition. Our results provide insight into the molecular and cellular dynamics that underlie forebrain development in the mouse and establish technical and analytical frameworks that are broadly applicable to other heterogeneous tissues.

摘要

对染色质可及性的分析能够揭示转录调控序列,但原代组织的异质性给绘制特定细胞类型中精确的染色质图谱带来了重大挑战。在此,我们报告了单核ATAC-seq技术,这是一种经组合条形码辅助的转座酶可及染色质单细胞检测方法,针对快速冷冻的原代组织样本进行了优化。我们将该技术应用于小鼠前脑的八个发育阶段。通过对超过15,000个细胞核的分析,我们识别出了对应主要神经元和非神经元细胞类型的20种不同细胞群。我们进一步定义了细胞类型特异性转录调控序列,推断了潜在的主要转录调节因子,并描绘了前脑细胞组成的发育变化。我们的结果为小鼠前脑发育的分子和细胞动力学提供了见解,并建立了广泛适用于其他异质组织的技术和分析框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f4/5862073/16529707e0cd/nihms950173f1.jpg

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