A single-cell transcriptome atlas profiles early organogenesis in human embryos
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ABSTRACT:
PROVIDER: PRJNA660958 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12569500_1.fastq.gz | Fastqsanger.gz | |||
| SRR12569500_2.fastq.gz | Fastqsanger.gz | |||
| SRR12569501_1.fastq.gz | Fastqsanger.gz | |||
| SRR12569501_2.fastq.gz | Fastqsanger.gz | |||
| SRR12569502_1.fastq.gz | Fastqsanger.gz |
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Project description:The early window of human embryogenesis is largely a black box for developmental biologists. Here we probed the cellular diversity of 4- to 6-week human embryos when essentially all organs are just laid out. Based on over 180,000 single-cell transcriptomes, we generated a comprehensive atlas of 313 cell types that belong to 18 developmental systems, and identified hundreds of cell type specific markers. We characterized the molecule and spatial architecture of previously unappreciated cell types by integrating with spatial transcriptome. Combined with data of other vertebrates, the rich information shed light on spatial patterning of axes, systemic temporal regulation of developmental progression and potential human-specific regulation. Our study provides a compendium of early progenitor cells of human organs, which can serve as the root of lineage analysis in organogenesis.
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Project description:We here report transcriptome profiles of human embryos at six successive developmental stages (i.e., Carnegie Stages 9 to 14), representing the first comprehensive gene expression database of early human organogenesis. Through a series of data mining and comparisons with the transcriptome during mouse embryogenesis and the multi-layered genomic data in human embryonic stem cells, we revealed that development potential during early human organogenesis is orchestrated by two dominant categories of genes. Specifically, most gradually induced genes are largely differentiation-related and indicative of diverse organ formation, whereas those gradually repressed are involved in both stemness- and differentiation-relevant aspects of the developmental potential, which may be important for the initiation of organogenesis. Further through integrative mining we uncovered a molecular network (including a stemness-relevant module and a differentiation-relevant module) that may provide a framework for the regulation of early human organogenesis. Preliminary analysis of published data showed that the network could serve to evaluate various in vitro differentiation models. Our results make a significant step towards understanding of human embryogenesis at a molecular level and suggest that developmental potentials of early embryonic cells are under control of shared regulatory events.
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Project description:We here report transcriptome profiling of human embryos at six successive developmental stages (i.e., Carnegie Stages 9 to 14), representing the first comprehensive gene expression database of early human organogenesis. Through a series of data mining and comparisons with the transcriptome during mouse embryogenesis and the disparate genomic data in human embryonic stem cells, we revealed that development potential during early human organogenesis is orchestrated by two dominant categories of genes. Specifically, most gradually induced genes are largely differentiation related whereas those gradually repressed are involved in both stemness- and differentiation-relevant aspects of the developmental potential. Further through integrative mining we uncovered a molecular network that well characterizes stemness- and differentiation-relevant aspects of developmental potentials during early human organogenesis. Analysis of published data showed that the network could serve to evaluate various differentiation models. Our results make a significant step towards understanding of human embryogenesis at a molecular level and suggest that developmental potentials are under control of shared regulatory events. With the consent of subjects and of the Ethical Review Board of the Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine,we collected human post-implantation embryos at six successive time periods: Carnegie Stages 9 to 14 (E20 to E32), covering the first third of organogenesis. Using the Affymetrix HG-U133A Genechip microarrays, three replicates were independently profiled for each stage to minimize the influence of the embryo-to-embryo variation. Raw expression data were normalized using Robust Multi-array Averaging (RMA) with quantile normalization. The resultant expression data were imported into Extraction of Differential Gene Expression (EDGE) software for the detection of probesets exhibiting the consistent changes within the triplicates and differential expression (denoted as hORG expression matrix). The hORG expression matrix was subjected to Linear Models for Microarray Data (LIMMA) bioconductor library for identification of stage-transitive transcriptome changes, and self-organizing map combined with singular value decomposition (SOM-SVD) as well as SOM-based two-phase gene clustering for the topology-preserving extraction of temporal expression patterns. Hypergeometric distribution-based enrichment analyses were performed to explore the underlying biological relevance of gene groups of interest using diverse external annotated databases. The Cytoscape plug-in jActiveModules was modified to identify expression-active connected subnetworks in the compiled human interaction/association network.
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Project description:Perturbation of DNA methyltransferases and of the active demethylation pathway via TET enzymes results in severe developmental defects and embryonic lethality. Dynamic control of DNA methylation is therefore vital for embryogenesis, yet the underlying mechanisms remain poorly understood. Here we report a single-cell transcriptomic atlas from a variety of DNA methylation mutant mouse embryos during mouse early organogenesis. We show that both the maintenance and de novo methyltransferase enzymes are dispensable for the formation of all major cell types at E8.5. However, DNA methyltransferases are required for silencing of prior or alternative cell fates such as pluripotency and extraembryonic programmes. Deletion of all three TET enzymes produces substantial lineage biases, in particular, a failure to generate primitive erythrocytes. Single-cell multi-omics profiling moreover reveals that this is linked to a failure to demethylate distal regulatory elements in Tet triple-knockout embryos. This study therefore provides a detailed analysis of the effects of perturbing DNA methylation on mouse organogenesis at whole organism scale, and affords new insights into the regulatory mechanisms of cell fate decisions.
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