Project description:This dataset consists of single-nucleus RNA-seq and single-cell ATAC-seq (10X multiome) data from 3 embryonic stages (E14.5-16.5) of pancreatic epithelial cells from Neurogenin3 (Ngn3)-Venus fusion (NVF) homozygous mice. Endocrine progenitor cells (NVF+) were enriched by FACS cell sorting.
Project description:Mouse retina is heterogeneous, composed of multiple neuronal and non-neuronal cell types. Among them, bipolar cells (BC), which connect photoreceptors (cones and rods) to inner retina, are traditionally dissected into rare subtypes of subtle functional and morphological differences. While high-resolution single-cell transcriptomic profiles of BCs are availabl, little is known about the corresponding single-cell chromatin landscapes. Although it is now possible to directly generate multiome data, there are often restrictions on cost, feasibility, and data quality. Therefore, integrating single-cell ATAC and RNA profiles obtained independently from the same retina sample may provide an exciting opportunity to comprehensively characterize these rare cell subtypes and discover transcription factors (TFs) important in establishing or maintaining the cell identities
Project description:To investigate molecular differences between HSPCs from young and aged donors, we performed 10x Single Cell Multiome on bone marrow HSPCs from Young, Middle Aged, and Older Aged donors.
Project description:To study the effect of GLI3 knockout on early brain organoid development, we collected single-cell multiome data from 18 day old brain organoids
Project description:Despite significant progresses, the genetic roles of regulatory elements in gene expression still remain largely unknown in prostate cells. Recent development in single cell sequencing has made it possible to combine ATAC-seq and RNA-seq to determine genome-wide linkages between chromatin accessibilities and gene expression. To test the feasibility of using single cell multiome sequencing in dissecting regulatory linkages between chromatin accessibilities and gene expressions, we applied 10X Multiome ATAC + Gene Expression platform to simultaneously encapsulate Tn5 transposase tagged nuclei from multiple prostate cell lines. Based on these multiomic data, we developed subsampling linkage analysis to identify linkage associations between open chromatin and gene expressions. Moreover, we implemented an innovative analytical method to investigate RNA expression alterations related to germline variant locus accessibilities at single cell levels, i.e., expression quantitate accessible loci (eQAL) analysis. Our data and methodology will complement traditional eQTL analysis and foresee more genetic applications aiming to clarify regulatory elements by single cell sequencing.
Project description:To investigate how SHH treatment influences patterning of early brain organoids, we performed multiome sequencing of brain organoids during early development
