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Fig. 1 | Genome Biology

Fig. 1

From: Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation

Fig. 1

Single-cell dataset and transcriptome characteristics. a Low dimensional projection of single-cell transcriptome data. Axes were selected using principle component (PC) analysis of expression data. Relative frequencies of read counts were variance stabilized by arcsine transform. Genes with zero read count in all cells were excluded. Values in parentheses by each axis are percentage standard deviation explained by that axis. b Expression of marker genes (rows) selected from the literature [58–63] for all mouse samples (columns). c The number of expressed genes by cell type. d Average percentage of reads falling within annotated exons, introns, gene flanking regions and intergenic regions by cell type. Dilution control started with 100 pg (100), 50 pg (50), or 10 pg (10) total cardiomyocyte RNA. Abbreviations: Adi brown adipocyte; Car cardiomyocyte; HK housekeeping; Py pyramidal neuron; Pyc pyramidal neuron, cortex; Pyh pyramidal neuron, hippocampus; Ser serotonergic neuron, dorsal raphe

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