Fig. 1: Curation of early-embryo development single-cell RNA-seq data sets for studying cell-cell communication. | Communications Biology

Fig. 1: Curation of early-embryo development single-cell RNA-seq data sets for studying cell-cell communication.

From: TimeTalk uses single-cell RNA-seq datasets to decipher cell-cell communication during early embryo development

Fig. 1

a Metadata of the collected early embryo development datasets. b Heatmap of the Pearson correlation coefficients between bulk and pseudo-bulk data. c tSNE plot of the integrated single-cell RNA-seq data. d Feature plot of the different marker genes.The unit for color gradient keys is LogNormalize, which involves dividing the feature counts for each cell by the total counts for that cell and then multiplying it by the scale.factor. This value is then transformed using the natural-log function and adding 1. e Pseudotime ordering of collected early embryo cells reveals development trajectory. The top of the figure was colored by development stages, and the bottom was colored by pseudotimes.

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