![]() ![]() ![]() Role of bone morphogenetic proteins in cardiac differentiation. Patterning and Cell Type Specification in the Developing CNS and PNS: Comprehensive Developmental Neuroscience (Academic Press, 2020). Somite differentiation: sonic signals somites. Cranial paraxial mesoderm: regionalisation of cell fate and impact on craniofacial development in mouse embryos. Robust decomposition of cell type mixtures in spatial transcriptomics. Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays. Molecular architecture of the developing mouse brain. The changing mouse embryo transcriptome at whole tissue and single-cell resolution. Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord. A draft network of ligand–receptor-mediated multicellular signalling in human. Neuroepithelial secondary organizers and cell fate specification in the developing brain. Patterning mechanisms controlling vertebrate limb development. SingleCellSignalR: inference of intercellular networks from single-cell transcriptomics. ScPred: accurate supervised method for cell-type classification from single-cell RNA-seq data. ISL1 directly regulates FGF10 transcription during human cardiac outflow formation. Outflow tract formation-embryonic origins of conotruncal congenital heart disease. Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes. ![]() Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors. A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex. Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex. A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart. Decoding human fetal liver haematopoiesis. Tracing the temporal-spatial transcriptome landscapes of the human fetal digestive tract using single-cell RNA-sequencing. Single-cell RNA-seq analysis maps development of human germline cells and gonadal niche interactions. Dissecting the transcriptome landscape of the human fetal neural retina and retinal pigment epithelium by single-cell RNA-seq analysis. A single-cell transcriptomic atlas of human neocortical development during mid-gestation. A human cell atlas of fetal gene expression. Construction of a human cell landscape at single-cell level. A single-cell molecular map of mouse gastrulation and early organogenesis. Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo. Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis. The single-cell transcriptional landscape of mammalian organogenesis. Larsen’s Human Embryology (Churchill Livingstone/Elsevier, 2009).Ĭao, J. All other data supporting the findings of this study are available from the corresponding author on reasonable request. Source data are provided with this paper. Mouse in situ database EMBRYS is available at. For published datasets used in LIN28A analysis, see Supplementary Table 3. Previously published data that were re-analysed here are from NCBI GSE119945 (single-nucleus RNA-seq in whole mouse embryos 2), NCBI PRJNA637987 (scRNA-seq in mouse brain 28), ArrayExpress E-MTAB-7320 (scRNA-seq in mouse neural tube 26), ENCODE project available at (scRNA-seq in mouse limb bud 27), CNGB CNP0001543 (ST in mouse embryos 29), NCBI GSE171892 (scRNA-seq in human neural tube 63), NCBI GSE107618 (scRNA-seq in human retina 9), NCBI GSE156793 (single-nucleus RNA-seq in human fetus 7). An online depository for cell types and gene expression (developed with R package VisCello 103 v1.1.2) is available at. Sequencing data that support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) under accession code GSE157329. ![]()
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