Profiling chromatin states using single-cell itChIP-seq

被引:0
作者
Shanshan Ai
Haiqing Xiong
Chen C. Li
Yingjie Luo
Qiang Shi
Yaxi Liu
Xianhong Yu
Cheng Li
Aibin He
机构
[1] Institute of Molecular Medicine,
[2] Beijing Key Laboratory of Cardiometabolic Molecular Medicine,undefined
[3] Peking University,undefined
[4] Peking-Tsinghua Center for Life Sciences,undefined
[5] Peking University,undefined
[6] Academy for Advanced Interdisciplinary Studies,undefined
[7] Peking University,undefined
[8] Center for Statistical Science,undefined
[9] Center for Bioinformatics,undefined
[10] Peking University,undefined
来源
Nature Cell Biology | 2019年 / 21卷
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摘要
Single-cell measurement of chromatin states, including histone modifications and non-histone protein binding, remains challenging. Here, we present a low-cost, efficient, simultaneous indexing and tagmentation-based ChIP-seq (itChIP-seq) method, compatible with both low cellular input and single cells for profiling chromatin states. itChIP combines chromatin opening, simultaneous cellular indexing and chromatin tagmentation within a single tube, enabling the processing of samples from tens of single cells to, more commonly, thousands of single cells per assay. We demonstrate that single-cell itChIP-seq (sc-itChIP-seq) yields ~9,000 unique reads per cell. Using sc-itChIP-seq to profile H3K27ac, we sufficiently capture the earliest epigenetic priming event during the cell fate transition from naive to primed pluripotency, and reveal the basis for cell-type specific enhancer usage during the differentiation of bipotent cardiac progenitor cells into endothelial cells and cardiomyocytes. Our results demonstrate that itChIP is a widely applicable technology for single-cell chromatin profiling of epigenetically heterogeneous cell populations in many biological processes.
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页码:1164 / 1172
页数:8
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