Project description:We developed an optimized, low-cost, split-pool barcoding-based multimodal profiling protocol based upon SHARE-seq (concurrent single-cell ATAC/RNA-seq). With SHARE-seq, we profiled human kidney samples from multiple different anatomical regions. Therefore, we develop a large-scale multimodal single-cell atlas for 3D anatomy of the human kidney.
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.
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.
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.
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.
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.
