Format

Send to

Choose Destination
Nat Methods. 2015 Oct;12(10):947-950. doi: 10.1038/nmeth.3549. Epub 2015 Aug 24.

Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments.

Author information

1
Department of Statistics, University of Wisconsin, Madison, WI, USA.
2
Morgridge Institute for Research, Madison, WI, USA.
3
Department of Cell and Regenerative Biology, University of Wisconsin, Madison, WI, USA.
4
Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA.
5
Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
#
Contributed equally

Abstract

Oscillatory gene expression is fundamental to development, but technologies for monitoring 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. Applying Oscope to a number of data sets, we demonstrated its utility and also identified a potential artifact in the Fluidigm C1 platform.

PMID:
26301841
PMCID:
PMC4589503
DOI:
10.1038/nmeth.3549
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Nature Publishing Group Icon for PubMed Central
Loading ...
Support Center