Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Quantitative single-cell RNA-seq


ABSTRACT: Purpose: We applied cDNA molecule counting using unique molecular identifiers combined with high-throughput sequencing to study the transcriptome of individual mouse embryonic stem cells, with spike-in controls to monitor technical performance. We further examined transcriptional noise in the embryonic stem cells. One 96-well plate of single-stranded cDNA libraries generated from 96 single R1 mouse embryonic stem cells sequenced on two lanes, and one 96-well plate of the same libraries further amplified by 9 PCR cycles sequenced on one lane.

ORGANISM(S): Mus musculus

SUBMITTER: Sten Linnarsson 

PROVIDER: E-GEOD-46980 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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