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Profiling chromatin states using single-cell itChIP-seq
by
Liu, Yaxi
, Li, Cheng
, Li, Chen C.
, Shi, Qiang
, He, Aibin
, Ai, Shanshan
, Xiong, Haiqing
, Luo, Yingjie
, Yu, Xianhong
in
13/1
/ 13/106
/ 45/15
/ 45/23
/ 631/136/532/2064/2117
/ 631/1647
/ 631/337/100/2285
/ 631/532/2118/2440
/ 64/60
/ 82/83
/ Biological activity
/ Biomedical and Life Sciences
/ Cancer Research
/ Cardiomyocytes
/ Cell Biology
/ Cell differentiation
/ Cell fate
/ Chromatin
/ Developmental Biology
/ Endothelial cells
/ Epigenetic inheritance
/ Heart cells
/ Histones
/ Indexing
/ Life Sciences
/ Pluripotency
/ Priming
/ Progenitor cells
/ Stem Cells
/ technical-report
2019
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Profiling chromatin states using single-cell itChIP-seq
by
Liu, Yaxi
, Li, Cheng
, Li, Chen C.
, Shi, Qiang
, He, Aibin
, Ai, Shanshan
, Xiong, Haiqing
, Luo, Yingjie
, Yu, Xianhong
in
13/1
/ 13/106
/ 45/15
/ 45/23
/ 631/136/532/2064/2117
/ 631/1647
/ 631/337/100/2285
/ 631/532/2118/2440
/ 64/60
/ 82/83
/ Biological activity
/ Biomedical and Life Sciences
/ Cancer Research
/ Cardiomyocytes
/ Cell Biology
/ Cell differentiation
/ Cell fate
/ Chromatin
/ Developmental Biology
/ Endothelial cells
/ Epigenetic inheritance
/ Heart cells
/ Histones
/ Indexing
/ Life Sciences
/ Pluripotency
/ Priming
/ Progenitor cells
/ Stem Cells
/ technical-report
2019
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Profiling chromatin states using single-cell itChIP-seq
by
Liu, Yaxi
, Li, Cheng
, Li, Chen C.
, Shi, Qiang
, He, Aibin
, Ai, Shanshan
, Xiong, Haiqing
, Luo, Yingjie
, Yu, Xianhong
in
13/1
/ 13/106
/ 45/15
/ 45/23
/ 631/136/532/2064/2117
/ 631/1647
/ 631/337/100/2285
/ 631/532/2118/2440
/ 64/60
/ 82/83
/ Biological activity
/ Biomedical and Life Sciences
/ Cancer Research
/ Cardiomyocytes
/ Cell Biology
/ Cell differentiation
/ Cell fate
/ Chromatin
/ Developmental Biology
/ Endothelial cells
/ Epigenetic inheritance
/ Heart cells
/ Histones
/ Indexing
/ Life Sciences
/ Pluripotency
/ Priming
/ Progenitor cells
/ Stem Cells
/ technical-report
2019
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Journal Article
Profiling chromatin states using single-cell itChIP-seq
2019
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Overview
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.
He and colleagues develop itChIP-seq based on simultaneous cellular indexing and chromatin tagmentation. itChIP-seq is applicable to both low-input and single-cell analyses of chromatin states.
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