Multifactorial profiling of epigenetic landscapes at single-cell resolution using MulTI-Tag.

Multifactorial profiling of epigenetic landscapes at single-cell resolution using MulTI-Tag.
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DOI:
10.1038/s41587-022-01522-9
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发表时间:
2023-05
影响因子:
46.9
通讯作者:
Henikoff, Steven
Henikoff, Steven
中科院分区:
工程技术1区
文献类型:
--
作者:
Meers, Michael P.;Llagas, Geneva;Janssens, Derek H.;Codomo, Christine A.;Henikoff, Steven

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Chromatin profiling at locus resolution uncovers gene regulatory features that define cell types and developmental trajectories, but it remains challenging to map and compare different chromatin-associated proteins in the same sample. Here we describe Multiple Target Identification by Tagmentation (MulTI-Tag), an antibody barcoding approach for profiling multiple chromatin features simultaneously in single cells. We optimized MulTI-Tag to retain high sensitivity and specificity, and we demonstrate detection of up to three histone modifications in the same cell: H3K27me3, H3K4me1/2 and H3K36me3. We apply MulTI-Tag to resolve distinct cell types and developmental trajectories; to distinguish unique, coordinated patterns of active and repressive element regulatory usage associated with differentiation outcomes; and to uncover associations between histone marks. Multifactorial epigenetic profiling holds promise for comprehensively characterizing cell-specific gene regulatory landscapes in development and disease. A scalable barcoding method measures multiple chromatin-associated proteins in single cells.
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