Nucleic Acids Research · 2022 · 30 citations · 18 references
Life SciencesBioinformaticsDevelopmental BiologyEmbryogenesisEmbryologyGene ExpressionDevelopmental EpigeneticsDevelopmental EpigenomicsEpigenomic Data AnalysisEpigenomic ProfilingMammalian DevelopmentMammalian EmbryologyChromatin AccessibilityChromatin Accessibility AnalysisDevelopmental Transcription FactorsEmbryo EpigeneticsEmbryogenesis EpigeneticsGene Expression AtlasesNucleosome OccupancyStem Cell Epigenomics
The emerging importance of embryonic development research rapidly increases the volume for a professional resource related to multi-omics data. However, the lack of global embryogenesis repository and systematic analysis tools limits the preceding in stem cell research, human congenital diseases and assisted reproduction. Here, we developed the EmAtlas, which collects the most comprehensive multi-omics data and provides multi-scale tools to explore spatiotemporal activation during mammalian embryogenesis. EmAtlas contains data on multiple types of gene expression, chromatin accessibility, DNA methylation, nucleosome occupancy, histone modifications, and transcription factors, which displays the complete spatiotemporal landscape in mouse and human across several time points, involving gametogenesis, preimplantation, even fetus and neonate, and each tissue involves various cell types. To characterize signatures involved in the tissue, cell, genome, gene and protein levels during mammalian embryogenesis, analysis tools on these five scales were developed. Additionally, we proposed EmRanger to deliver extensive development-related biological background annotations. Users can utilize these tools to analyze, browse, visualize, and download data owing to the user-friendly interface. EmAtlas is freely accessible at http://bioinfor.imu.edu.cn/ematlas.
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Mapping the Mouse Cell Atlas by Microwell-Seq
Xiaoping Han, Renying Wang, Yincong Zhou et al. · Cell · 2018 · 1.7K citations · Full text
Construction of a human cell landscape at single-cell level
Xiaoping Han, Ziming Zhou, Lijiang Fei et al. · Nature · 2020 · 1.3K citations
Life Sciences, Biology, Cell Biology +14
Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
Sophie Petropoulos, Daniel Edsgärd, Björn Reinius et al. · Cell · 2016 · 1.1K citations · Full text