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利用空间表观基因组学96通道微流控平台改进细胞类型识别和调控特征的全面图谱绘制。

Improved cell-type identification and comprehensive mapping of regulatory features with spatial epigenomics 96-channel microfluidic platform.

作者信息

Kartiganer Zev, Rojas Gumaro, Riccio Machele, Tyree Abigail, Noronha Katelyn, Wetzel Molly, Barnett Joshua, McGann James, Garbarino Jennifer, Massucci Daniel, Chafi Nouroddin Sotoudeh, Decker Silas, McDaniels Arianna, Sabina Jeffrey, Levchenko David, Perez Jose, Ng Colin, Wang Kenneth

机构信息

Engineering, AtlasXomics, Inc., New Haven, CT.

Biology, AtlasXomics, Inc., New Haven, CT.

出版信息

GEN Biotechnol. 2023 Dec;2(6):503-514. doi: 10.1089/genbio.2023.0044. Epub 2023 Dec 15.

DOI:10.1089/genbio.2023.0044
PMID:39380764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11460376/
Abstract

Gene expression is subject to epigenetic regulation and is dependent upon cellular context. Spatial omics tools can provide insight into cellular context; however, development has centered on spatial transcriptomics and proteomics. Deterministic barcoding in tissue for spatial omics sequencing (DBiT-seq) was the first spatial epigenomics platform at the cellular level. Here we present a comparison of spatial epigenomic profiling on both 50-channel and 96-channel platforms. The new 96-channel microfluidics chip design greatly improved precision in cell typing and identification of regulatory elements by spatial-ATAC-seq. Spatial mapping reveals complexity of glial cell and neuronal localization within brain structures as well as cis-regulatory elements controlling cellular function. This technology streamlines spatial analysis of the epigenome and contributes a new layer of spatial omics to uncover the context dependent regulatory mechanisms underpinning development, disease, and normal cellular function.

摘要

基因表达受表观遗传调控,且依赖于细胞环境。空间组学工具可以深入了解细胞环境;然而,其发展主要集中在空间转录组学和蛋白质组学上。用于空间组学测序的组织确定性条形码(DBiT-seq)是首个细胞水平的空间表观基因组学平台。在此,我们展示了在50通道和96通道平台上进行的空间表观基因组分析的比较。新型96通道微流控芯片设计通过空间ATAC-seq极大地提高了细胞分型和调控元件识别的精度。空间图谱揭示了脑结构内胶质细胞和神经元定位的复杂性以及控制细胞功能的顺式调控元件。这项技术简化了表观基因组的空间分析,并为空间组学增添了新的层面,以揭示支撑发育、疾病和正常细胞功能的环境依赖性调控机制。

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