Validation of noise models for single-cell transcriptomics

ABSTRACT: Single-cell transcriptomics has recently emerged as a powerful technology to explore gene expression heterogeneity amongst single cells. Here we identify two major sources of technical variability, sampling noise and global cell-to-cell variation in sequencing efficiency. We propose noise models to correct for this and after validation by single-molecule FISH experiments, we apply these models to demonstrate that growing mES cells in 2i instead of serum/LIF globally reduces gene expression variability. J1 mouse embryonic stem cells (mESCs) were cutured in 2i or in serum medium. Cells were dissociated into a single cell suspension and picked under a stereomicroscope using a 30μm glass capillary and mouth pipette. Picked cells were deposited in the lid of an 0.5ml LoBind eppendorf tube and

ORGANISM(S): Mus musculus

SUBMITTER: Dominic Gruen 

PROVIDER: E-GEOD-54695 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress