Dataset Information

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.

SUBMITTER: Leng N

PROVIDER: S-EPMC4589503 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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

Leng Ning N Chu Li-Fang LF Barry Chris C Li Yuan Y Choi Jeea J Li Xiaomao X Jiang Peng P Stewart Ron M RM Thomson James A JA Kendziorski Christina C

Nature methods 20150824 10

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. ...[more]

PMID: 26301841

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Project description:Branching organs, including the salivary and mammary glands, lung, and kidney, arise as epithelial buds that are morphologically very similar. However, the mesenchyme is known to guide epithelial morphogenesis and to help govern cell fate and eventual organ specificity. We performed single-cell transcriptome analyses of 14,441 cells from embryonic day 12 submandibular and parotid salivary glands to characterize their molecular identities during bud initiation. The mesenchymal cells were considerably more heterogeneous by clustering analysis than the epithelial cells. Nonetheless, distinct clusters were evident among even the epithelial cells, where unique molecular markers separated presumptive bud and duct cells. Mesenchymal cells formed separate, well-defined clusters specific to each gland. Neuronal and muscle cells of the 2 glands in particular showed different markers and localization patterns. Several gland-specific genes were characteristic of different rhombomeres. A muscle cluster was prominent in the parotid, which was not myoepithelial or vascular smooth muscle. Instead, the muscle cluster expressed genes that mediate skeletal muscle differentiation and function. Striated muscle was indeed found later in development surrounding the parotid gland. Distinct spatial localization patterns of neuronal and muscle cells in embryonic stages appear to foreshadow later differences in adult organ function. These findings demonstrate that the establishment of transcriptional identities emerges early in development, primarily in the mesenchyme of developing salivary glands. We present the first comprehensive description of molecular signatures that define specific cellular landmarks for the bud initiation stage, when the neural crest-derived ectomesenchyme predominates in the salivary mesenchyme that immediately surrounds the budding epithelium. We also provide the first transcriptome data for the largely understudied embryonic parotid gland as compared with the submandibular gland, focusing on the mesenchymal cell populations.

Project description:Although glucagon-secreting ?-cells and insulin-secreting ?-cells have opposing functions in regulating plasma glucose levels, the two cell types share a common developmental origin and exhibit overlapping transcriptomes and epigenomes. Notably, destruction of ?-cells can stimulate repopulation via transdifferentiation of ?-cells, at least in mice, suggesting plasticity between these cell fates. Furthermore, dysfunction of both ?- and ?-cells contributes to the pathophysiology of type 1 and type 2 diabetes, and ?-cell de-differentiation has been proposed to contribute to type 2 diabetes. Our objective was to delineate the molecular properties that maintain islet cell type specification yet allow for cellular plasticity. We hypothesized that correlating cell type-specific transcriptomes with an atlas of open chromatin will identify novel genes and transcriptional regulatory elements such as enhancers involved in ?- and ?-cell specification and plasticity.We sorted human ?- and ?-cells and performed the "Assay for Transposase-Accessible Chromatin with high throughput sequencing" (ATAC-seq) and mRNA-seq, followed by integrative analysis to identify cell type-selective gene regulatory regions.We identified numerous transcripts with either ?-cell- or ?-cell-selective expression and discovered the cell type-selective open chromatin regions that correlate with these gene activation patterns. We confirmed cell type-selective expression on the protein level for two of the top hits from our screen. The "group specific protein" (GC; or vitamin D binding protein) was restricted to ?-cells, while CHODL (chondrolectin) immunoreactivity was only present in ?-cells. Furthermore, ?-cell- and ?-cell-selective ATAC-seq peaks were identified to overlap with known binding sites for islet transcription factors, as well as with single nucleotide polymorphisms (SNPs) previously identified as risk loci for type 2 diabetes.We have determined the genetic landscape of human ?- and ?-cells based on chromatin accessibility and transcript levels, which allowed for detection of novel ?- and ?-cell signature genes not previously known to be expressed in islets. Using fine-mapping of open chromatin, we have identified thousands of potential cis-regulatory elements that operate in an endocrine cell type-specific fashion.

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

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

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