Dataset Information

Single cell transcriptome dynamics from pluripotency to FLK1⁺ mesoderm.

ABSTRACT: Hemangiogenic progenitors generating blood and endothelial cells are specified from FLK1-expressing (FLK1⁺) mesoderm by the transcription factor ETV2. FLK1⁺ mesoderm also contributes to smooth muscle and cardiomyocytes. However, the developmental process of FLK1⁺ mesoderm generation and its allocation to various cell fates remain obscure. Recent single cell RNA-sequencing studies of early embryos or in vitro-differentiated human embryonic stem (ES) cells have provided unprecedented information on the spatiotemporal resolution of cells in embryogenesis. These snapshots, however, lack information on continuous dynamic developmental processes. Here, we performed single cell RNA sequencing of in vitro-differentiated mouse ES cells to capture the continuous developmental process leading to hemangiogenesis. We found that hemangiogenic progenitors from ES cells develop through intermediate gastrulation stages, which are gradually specified by 'relay'-like highly overlapping transcription factor modules. Moreover, the transcriptional program of the Flk1⁺ mesoderm was maintained in the smooth muscle lineage, suggesting that smooth muscle is the default fate of Flk1⁺ mesoderm. We also identified the SRC kinase contributing to ETV2-mediated activation of the hemangiogenic program. This continuous transcriptome map will facilitate both basic and applied studies of mesoderm development.

SUBMITTER: Zhao H

PROVIDER: S-EPMC6918769 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Single cell transcriptome dynamics from pluripotency to FLK1+ mesoderm.

Zhao Haiyong H Choi Kyunghee K

Development (Cambridge, England) 20191205 23

Hemangiogenic progenitors generating blood and endothelial cells are specified from FLK1-expressing (FLK1+) mesoderm by the transcription factor ETV2. FLK1+ mesoderm also contributes to smooth muscle and cardiomyocytes. However, the developmental process of FLK1+ mesoderm generation and its allocation to various cell fates remain obscure. Recent single cell RNA-sequencing studies of early embryos or in vitro-differentiated human embryonic stem (ES) cells h ...[more]

PMID: 31740535

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Project description:BackgroundMammalian follicle development is characterized by extensive changes in morphology, endocrine responsiveness, and function, providing the optimum environment for oocyte growth, development, and resumption of meiosis. In cattle, the first signs of transcription activation in the oocyte are observed in the secondary follicle, later than during mouse and human oogenesis. While many studies have generated extensive datasets characterizing gene expression in bovine oocytes, they are mostly limited to the analysis of fully grown and matured oocytes. The aim of the present study was to apply single-cell RNA sequencing to interrogate the transcriptome of the growing bovine oocyte from the secondary follicle stage through to the mid-antral follicle stage.ResultsSingle-cell RNA-seq libraries were generated from oocytes of known diameters (< 60 to > 120 μm), and datasets were binned into non-overlapping size groups for downstream analysis. Combining the results of weighted gene co-expression network and Trendy analyses, and differently expressed genes (DEGs) between size groups, we identified a decrease in oxidative phosphorylation and an increase in maternal -genes and transcription regulators across the bovine oocyte growth phase. In addition, around 5,000 genes did not change in expression, revealing a cohort of stable genes. An interesting switch in gene expression profile was noted in oocytes greater than 100 μm in diameter, when the expression of genes related to cytoplasmic activities was replaced by genes related to nuclear activities (e.g., chromosome segregation). The highest number of DEGs were detected in the comparison of oocytes 100-109 versus 110-119 μm in diameter, revealing a profound change in the molecular profile of oocytes at the end of their growth phase.ConclusionsThe current study provides a unique dataset of the key genes and pathways characteristic of each stage of oocyte development, contributing an important resource for a greater understanding of bovine oogenesis.

Project description:BackgroundIn addition to messenger RNA (mRNA), noncoding RNAs (ncRNAs) are essential components in cellular machineries for translation and splicing. Besides their housekeeping functions, ncRNAs are involved in cell type-specific regulation of translation, mRNA stability, genome structure, and accessibility. To have a comprehensive understanding of the identities and functions of different cell types, a method to comprehensively quantify both mRNA and ncRNA in a sensitive manner is highly desirable.MethodsHere we tried to develop a system capable of concurrently profiling both mRNA and ncRNA by polyadenylating RNA in samples before reverse transcription. The sensitivity of the system was maximized by avoiding purification from cell lysis to amplified cDNA and by optimizing the buffer conditions. The single-tube amplification (STA) system was applied to single to 100 cells of 293T cells, human pluripotent stem cells (hPSCs) and their differentiated endothelial progenies to validate its quantitative power and sensitivity by qPCR and high-throughput sequencing.ResultsUsing microRNA (miRNA) as an example, we showed that complementary DNA (cDNA) from ncRNAs could be amplified and specifically detected from a few cells within a single tube. The sensitivity of the system was maximized by avoiding purification from cell lysis to amplified cDNA and by optimizing the buffer conditions. With 100 human embryonic stem cells (hESCs) and their differentiated endothelial cells as input for high-throughput sequencing, the single-tube amplification (STA) system revealed both well-known and other miRNAs selectively enriched in each cell type. The selective enrichment of the miRNAs was further verified by qPCR with 293FT cells and a human induced pluripotent stem cell (hiPSC) line. In addition, the detection of other non-miRNA transcripts indicated that the STA target was not limited to miRNA, but extended to other ncRNAs and mRNAs as well. Finally, the STA system was capable of detecting miRNA and mRNA expression down to single cells, albeit with some loss of sensitivity and power.ConclusionsOverall, STA offered a simple and sensitive way to concurrently quantify both mRNA and ncRNA expression in low-cell-number samples for both qPCR and high-throughput sequencing.

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Single cell transcriptome dynamics from pluripotency to FLK1⁺ mesoderm.

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Single cell transcriptome dynamics from pluripotency to FLK1<sup>+</sup> mesoderm.

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