Constellation-Seq
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB41830 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We present a low-cost, generalizable ChIP-seq (itChIP), compatible to both low-input and single cells for profiling chromatin states. This method combines chromatin opening, simultaneous cellular indexing and chromatin tagmentation in a single tube. Single-cell itChIP data yield ~ 5000 unique reads per cell, sufficiently defining cell identifies and subpopulations of a given cell type. Our results demonstrate that itChIP is a generalizable technology for single-cell chromatin profiling of samples limited to ultra-low number of cells.
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Project description:We present a low-cost, generalizable ChIP-seq (itChIP), compatible to both low-input and single cells for profiling chromatin states. This method combines chromatin opening, simultaneous cellular indexing and chromatin tagmentation in a single tube. Single-cell itChIP data yield ~ 5000 unique reads per cell, sufficiently defining cell identifies and subpopulations of a given cell type. Our results demonstrate that itChIP is a generalizable technology for single-cell chromatin profiling of samples limited to ultra-low number of cells.
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