Ontology highlight
ABSTRACT:
SUBMITTER: Rosenberg AB
PROVIDER: S-EPMC7643870 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature
Science (New York, N.Y.) 20180315 6385
To facilitate scalable profiling of single cells, we developed split-pool ligation-based transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that labels the cellular origin of RNA through combinatorial barcoding. SPLiT-seq is compatible with fixed cells or nuclei, allows efficient sample multiplexing, and requires no customized equipment. We used SPLiT-seq to analyze 156,049 single-nucleus transcriptomes from postnatal day 2 and 11 mouse brains and spinal cords. More t ...[more]