Comprehensive single-cell transcriptional profiling of a multicellular organism
Junyue Cao(University of Washington), Jonathan S. Packer(University of Washington), Vijay Ramani(University of Washington), Darren A. Cusanovich(University of Washington), Chau Huynh(University of Washington), Riza M. Daza(University of Washington), Xiaojie Qiu(University of Washington), Choli Lee(University of Washington), Scott N. Furlan(Seattle Children's Hospital), Frank J. Steemers(Illumina (United States)), Andrew Adey(Oregon Health & Science University), R Waterston(University of Washington), Cole Trapnell(University of Washington), Jay Shendure(Howard Hughes Medical Institute)
Cited by 1,558Open Access
Abstract
at the L2 larval stage, which provided >50-fold "shotgun" cellular coverage of its somatic cell composition. From these data, we defined consensus expression profiles for 27 cell types and recovered rare neuronal cell types corresponding to as few as one or two cells in the L2 worm. We integrated these profiles with whole-animal chromatin immunoprecipitation sequencing data to deconvolve the cell type-specific effects of transcription factors. The data generated by sci-RNA-seq constitute a powerful resource for nematode biology and foreshadow similar atlases for other organisms.
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