TY - JOUR T1 - The changing mouse embryo transcriptome at whole tissue and single-cell resolution JF - bioRxiv DO - 10.1101/2020.06.14.150599 SP - 2020.06.14.150599 AU - Peng He AU - Brian A. Williams AU - Diane Trout AU - Georgi K. Marinov AU - Henry Amrhein AU - Libera Berghella AU - Say-Tar Goh AU - Ingrid Plajzer-Frick AU - Veena Afzal AU - Len A. Pennacchio AU - Diane E. Dickel AU - Axel Visel AU - Bing Ren AU - Ross C. Hardison AU - Yu Zhang AU - Barbara J. Wold Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/06/17/2020.06.14.150599.abstract N2 - In mammalian embryogenesis differential gene expression gradually builds the identity and complexity of each tissue and organ system. We systematically quantified mouse polyA-RNA from embryo day E10.5 to birth, sampling 17 whole tissues, enhanced with single-cell measurements for the developing limb. The resulting developmental transcriptome is globally structured by dynamic cytodifferentiation, body-axis and cell-proliferation gene sets, characterized by their promoters’ transcription factor (TF) motif codes. We decomposed the tissue-level transcriptome using scRNA-seq and found that neurogenesis and haematopoiesis dominate at both the gene and cellular levels, jointly accounting for 1/3 of differential gene expression and over 40% of identified cell types. Integrating promoter sequence motifs with companion ENCODE epigenomic profiles identified a promoter de-repression mechanism unique to neuronal expression clusters and attributable to known and novel repressors. Focusing on the developing limb, scRNA-seq identified 25 known and candidate novel cell types, including progenitor and differentiating states with computationally inferred lineage relationships. We extracted cell type TF networks and complementary sets of candidate enhancer elements by de-convolving whole-tissue IDEAS epigenome chromatin state models. These ENCODE reference data, computed network components and IDEAS chromatin segmentations, are companion resources to the matching epigenomic developmental matrix, available for researchers to further mine and integrate.Competing Interest StatementThe authors have declared no competing interest. ER -