Project description:Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others Data sharing with others
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:A growing body of single-cell multi-omic tools enables a better understanding of gene regulation underlying development and disease. Tools mapping chromatin and gene expression (such as SHARE-seq) are limited in sensitivity and scalability. Here, we describe SHARE-seqV2 and its associated cloud-computing resource, enabling single-cell analysis at improved quality, robustness, and scale. We apply SHARE-seqV2 across various cell lines, primary tissues, and immune cells, demonstrating a generalizable platform for single-cell multi-omics.