Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Spatial reconstruction of single-cell gene expression

ABSTRACT: Spatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems. We generated single-cell RNA-seq profiles from dissociated cells from developing zebrafish embryos (late blastula stage - 50% epiboly)

ORGANISM(S): Danio rerio

SUBMITTER: Rahul Satija

PROVIDER: E-GEOD-66688 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Using chromatin immunoprecipitation combined with microarrays we have identified targets of No tail (Ntl), a zebrafish Brachyury ortholog that plays a central role in mesoderm formation. We show that Ntl regulates a downstream network of other transcription factors and identify an in vivo Ntl binding site that resembles the consensus T-box binding site (TBS) previously identified by in vitro studies. We show floating head (flh) is a direct transcriptional target of Ntl in the notochord and that TBS in the flh upstream region are required for Ntl directed expression. Using this genome-scale data we have assembled a Gene Regulatory Network that describes mesoderm formation and patterning in the early zebrafish embryo and which predicts a role for Ntl in somite segmentation. Keywords: ChIP-chip Genomic array design. Microarrays were designed as described below and manufactured by Agilent Technologies (www.agilent.com). We have previously described the ChIP-chip technique in zebrafish and the design of promoter microarrays which cover a 2kb region around the transcription start sites (TSSs) of 11,512 zebrafish genes based on Zv4 (Wardle et al, 2006. Genome Biology 7:R71). In order to capture additional regulatory information further from the basal promoter region we also designed an expanded set of 60mer probes that cover 9kb upstream and 3kb downstream of the TSS of these genes using the same parameters as for the 2kb microarrays. We also incorporated several sets of control probes, both positive and negative. On each array there are 753 negative probes designed against zebrafish gene desert regions and Arabidopsis thaliana genes. In addition we included duplicates of promoter probes for several genes that we anticipated may be bound by factors of interest for this and other studies (wnt11, flh, vent, msgn1, myod, fgf8, pcdh8) and these probes are arrayed on both slides slide. We also included in this design 502 intensity control probes. Finally there are 2,256 controls added by Agilent. The final design contained 378,002 probes, including 365,537 experimental probes divided between nine microarray slides: slides 1-8 contained 40,616 experimental probes and slide 9 contained 40, 609. Further information on design and manufacture of the microarrays can be found on the Agilent Technologies website (www.agilent.com).

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Spatial reconstruction of single-cell gene expression

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