title: Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments.
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.
authors: Department of Statistics, University of Wisconsin, Madison, WI, USA.|Morgridge Institute for Research, Madison, WI, USA.
authors: Ning
authors: N
authors: Leng
authors: Morgridge Institute for Research, Madison, WI, USA.
authors: Li-Fang
authors: LF
authors: Chu
authors: Morgridge Institute for Research, Madison, WI, USA.
authors: Chris
authors: C
authors: Barry
authors: Department of Statistics, University of Wisconsin, Madison, WI, USA.
authors: Yuan
authors: Y
authors: Li
authors: Department of Statistics, University of Wisconsin, Madison, WI, USA.
authors: Jeea
authors: J
authors: Choi
authors: Department of Statistics, University of Wisconsin, Madison, WI, USA.
authors: Xiaomao
authors: X
authors: Li
authors: Morgridge Institute for Research, Madison, WI, USA.
authors: Peng
authors: P
authors: Jiang
authors: Morgridge Institute for Research, Madison, WI, USA.
authors: Ron M
authors: RM
authors: Stewart
authors: Morgridge Institute for Research, Madison, WI, USA.|Department of Cell and Regenerative Biology, University of Wisconsin, Madison, WI, USA.|Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA.
authors: James A
authors: JA
authors: Thomson
authors: Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
authors: Christina
authors: C
authors: Kendziorski
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D003627:Data Interpretation, Statistical; D053595:Embryonic Stem Cells / Q000502:physiology; D020869:Gene Expression Profiling / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D008957:Models, Genetic; D060888:Real-Time Polymerase Chain Reaction / Q000379:methods; D017423:Sequence Analysis, RNA / Q000379:methods* / Q000706:statistics & numerical data; D059010:Single-Cell Analysis / Q000379:methods* / Q000706:statistics & numerical data; D012984:Software