TY - JOUR T1 - A Transcriptional Lineage of the Early <em>C. elegans</em> Embryo JF - bioRxiv DO - 10.1101/047746 SP - 047746 AU - Sophia C. Tintori AU - Erin Osborne Nishimura AU - Patrick Golden AU - Jason D. Lieb AU - Bob Goldstein Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/04/07/047746.abstract N2 - HIGHLIGHTS‒ RNA-seq on each cell of the early C. elegans embryo complements the known lineage‒ We measured the zygotic activation specific to each unique cell of the embryo‒ We identified genes that are functionally redundant and critical for development‒ We created an interactive online data visualization tool for exploring the dataeTOC BLURB C. elegans is a powerful model for development, with an invariant and completely described cell lineage. To enrich this resource, we performed single-cell RNA-seq on each cell of the embryo through the 16-cell stage. Zygotic genome activation is differential between cell types. We identified hundreds of candidates for partially redundant genes, and verified one such set as critical for development. We created an interactive online data visualization tool to invite others to explore our dataset.SUMMARY During embryonic development, cells must establish fates, morphologies and behaviors in coordination with one another to form a functional body. A prevalent hypothesis for how this coordination is achieved is that each cell’s fate and behavior is determined by a defined mixture of RNAs. Only recently has it become possible to measure the full suite of transcripts in a single cell. Here we quantify the abundance of every mRNA transcript in each cell of the C. elegans embryo up to the 16-cell stage. We describe spatially dynamic expression, quantify cell-specific differential activation of the zygotic genome, and identify critical developmental genes previously unappreciated because of their partial redundancy. We present an interactive data visualization tool that allows broad access to our dataset. This genome-wide single-cell map of mRNA abundance, alongside the well-studied life history and fates of each cell, describes at a cellular resolution the mRNA landscape that guides development. ER -