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

Abstract：

BACKGROUND:Differentiation of metazoan cells requires execution of different gene expression programs but recent single-cell transcriptome profiling has revealed considerable variation within cells of seeming identical phenotype. This brings into question the relationship between transcriptome states and cell phenotypes. Additionally, single-cell transcriptomics presents unique analysis challenges that need to be addressed to answer this question. RESULTS: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. CONCLUSIONS:Single-cell RNA-sequencing data provide a unique view of transcriptome function; however, careful analysis is required in order to use single-cell RNA-sequencing measurements for this purpose. Technical variation must be considered in single-cell RNA-sequencing studies of expression variation. For a subset of genes, biological variability within each cell type appears to be regulated in order to perform dynamic functions, rather than solely molecular noise.

journal_name

Genome Biol

journal_title

Genome biology

authors

Dueck H,Khaladkar M,Kim TK,Spaethling JM,Francis C,Suresh S,Fisher SA,Seale P,Beck SG,Bartfai T,Kuhn B,Eberwine J,Kim J

doi

10.1186/s13059-015-0683-4

subject

Has Abstract

pub_date

2015-06-09 00:00:00

pages

122

eissn

1474-7596

issn

1474-760X

pii

10.1186/s13059-015-0683-4

journal_volume

16

pub_type

杂志文章

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