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.
Project description:We designed this experiment to investigate the transcriptional changes in gonads as a result of sex transformation. Here we performed transcriptional profiling of the ovary transformed into testis from the tra loss of function (XX_tra_lof), testis transformed into ovary from the tra gain of function (XY_tra_gof) and ovary transformed into testis in dsxM gain of function (XX_DsxM_gof/lof) Drosophila melanogaster third instar larvae in biological quadruplicates. In addition, as controls we sequenced ovaries and testes from the female and male wildtype larvae respectively. We constructed polyA+ libraries of the gonads, cleaned off the fatbody and performed 50 bp, stranded single-end RNA-Seq.