Single-cell CUT&Tag analysis of chromatin modifications in differentiation and tumor progression

染色质 组蛋白 单细胞分析 胚胎干细胞 电池类型 生物 细胞生物学 细胞分化 干细胞 细胞 计算生物学 遗传学 基因
作者
Steven J. Wu,Scott N. Furlan,Anca B. Mihalas,Hatice S Kaya-Okur,Abdullah H. Feroze,Samuel Emerson,Ye Zheng,K. Jane Carson,Patrick J. Cimino,C. Dirk Keene,Jay F. Sarthy,Raphaël Gottardo,Kami Ahmad,Steven Henikoff,Anoop P. Patel
出处
期刊:Nature Biotechnology [Nature Portfolio]
卷期号:39 (7): 819-824 被引量:162
标识
DOI:10.1038/s41587-021-00865-z
摘要

Methods for quantifying gene expression1 and chromatin accessibility2 in single cells are well established, but single-cell analysis of chromatin regions with specific histone modifications has been technically challenging. In this study, we adapted the CUT&Tag method3 to scalable nanowell and droplet-based single-cell platforms to profile chromatin landscapes in single cells (scCUT&Tag) from complex tissues and during the differentiation of human embryonic stem cells. We focused on profiling polycomb group (PcG) silenced regions marked by histone H3 Lys27 trimethylation (H3K27me3) in single cells as an orthogonal approach to chromatin accessibility for identifying cell states. We show that scCUT&Tag profiling of H3K27me3 distinguishes cell types in human blood and allows the generation of cell-type-specific PcG landscapes from heterogeneous tissues. Furthermore, we used scCUT&Tag to profile H3K27me3 in a patient with a brain tumor before and after treatment, identifying cell types in the tumor microenvironment and heterogeneity in PcG activity in the primary sample and after treatment. An improved method for single-cell analysis of histone modifications is applied to stem cell differentiation and cancer.
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