Comprehensive single cell transcriptional profiling of a multicellular organism by combinatorial indexing
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98561
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资源简介：
We developed a combinatorial indexing strategy to profile the transcriptomes of large numbers of single cells or nuclei (Single cell Combinatorial Indexing RNA-seq or sci-RNA-seq). We applied sci-RNA-seq to profile nearly 50,000 cells from C. elegans at the L2 stage, effectively ~56-fold “shotgun cellular coverage” of its somatic cell composition. human and mouse cell lines, C.elegans.
创建时间：
2021-07-25
