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

ABSTRACT: We present high quality deep read-depth single cell RNA sequencing for 91 cells from five mouse tissues and 18 cells from two rat tissues, along with 30 control samples of bulk RNA diluted to single-cell levels. We find that transcriptomes differ globally across tissues with regard to the number of genes expressed, the average expression patterns, and within cell-type variation patterns. We develop methods to filter genes for reliable quantification and to calibrate biological variation. All cell types include genes with high variability in expression, in a tissue-specific manner. We also find evidence that single cell variability of neuronal genes in mice is correlated with that in rats consistent with the hypothesis that levels of variation may be conserved. From an initial 143 cells we identified 107 high quality samples with deep genic coverage, including 13 brown adipocytes, 19 cardiomyocytes, 19 cortical pyramidal neurons and 18 hippocampal pyramidal neurons from embryonic mouse, 8 cortical pyramidal neurons and 8 hippocampal pyramidal neurons from embryonic rat, and 22 serotonergic neurons from adult mouse. While mouse data is collected from three strains of mice at different ages, each cell type dataset is internally consistent. There are no technical replicates of single-cell samples. We additionally prepared 30 control samples, amplifications of bulk total cardiomyocyte RNA diluted to single cell quantities.

ORGANISM(S): Musculus  

SUBMITTER: Jim Eberwine  Chantal Francis   Hannah Dueck   Mugdha Khaladkar   Junhyong Kim   Sheryl G Beck   Sangita Suresh   Bernhard Kuhn   Tae K Kim   Jennifer M Spaethling   Patrick Seale   Stephen Fisher   Tamas Bartfai    

PROVIDER: E-GEOD-56638 | ArrayExpress | 2015-05-22



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