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Single cell RNA-seq data of human hESCs to evaluate Oscope - a statistical pipeline for identifying oscillatory genes in unsynchronized single cell RNA-Seq

Identifiers: SRA: SRP050992
BioProject: PRJNA269761
GEO: GSE64016
Study Type: 
Transcriptome Analysis
Abstract: Oscillatory gene expression is fundamental to mammalian development, but technologies to monitor expression oscillations are limited. We have developed a statistical approach called Oscope to identify and characterize the transcriptional dynamics of oscillating genes in single-cell RNA-seq data from an unsynchronized cell population. Applications to a number of data sets, include a single-cell RNA-seq data set of human embroyonic stem cells (hESCs), demonstrate advantages of the approach and also identify a potential artifact in the Fluidigm C1 platform. Overall design: Total 213 H1 single cells and 247 H1-Fucci single cells were sequenced. The 213 H1 cells were used to evaluate Oscope in identifying oscillatory genes. The H1-Fucci cells were used to confirm the cell cycle gene cluster identified by Oscope in the H1 hESCs. Normalized expected counts are provided in GSE64016_H1andFUCCI_normalized_EC.csv.gz
Center Project: GSE64016
External Link: /pubmed:26301841

Related SRA data

Experiments:
460 ( 460 samples )
Runs:
460 (172.7Gbp; 100.1Gb)