Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Andrew Adey, Casey Thornton 2020. sciMAP-ATAC. protocols.io dx.doi.org/10.17504/protocols.io.5r4g58wCopy Citation Copied
URL: https://dx.doi.org/10.17504/protocols.io.5r4g58w
Authors: Andrew Adey, Casey Thornton
Summary: High-throughput single cell genomic assays resolve the heterogeneity of cell states in complex tissues, however, the spatial orientation within the network of interconnected cells is lost. As cell localization is a necessary dimension in understanding complex tissues and disease states, we present a tool for highly scalable spatially-resolved single cell profiling of chromatin state. We use high density multiregional sampling to perform single-cell combinatorial indexing on Microbiopsies Assigned to Positions for the Assay for Transposase Accessible Chromatin (sciMAP-ATAC) to produce single-cell data of equivalent quality to non-spatial single-cell ATAC-seq.
Affiliations: Oregon Health & Science University, Oregon Health & Science University
External URL: doi: https://doi.org/10.1101/407668
Version: 1
Publication Date: 2020
Expand AllComing soon.
Source: Protocols.io