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Dataset Information

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 aver

SUBMITTER: Dueck H 

PROVIDER: S-EPMC4480509 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature