NatureDevelopmental BiologyPeer-reviewed journal article
The changing mouse embryo transcriptome at whole tissue and single-cell resolution
Peng HeiD, Brian A. WilliamsiD, Diane E. TroutiD, Georgi K. MarinoviD, Henry AmrheiniD, Libera Berghella, Say-Tar Goh, Ingrid Plajzer-Frick, Veena AfzaliD, Len A. PennacchioiD, Diane E. DickeliD, Axel ViseliD, Bing ReniD, Ross C. HardisoniD, Yu ZhangiD, Barbara J. WoldiD
Abstract
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.
- organism: mouse
- assay: scRNA-seq
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: gene regulatory network inference
- approach: statistical model
- approach: matrix factorization
- Citations
- 177
- FWCI
- 9.56
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A single-cell transcriptional timelapse of mouse embryonic development, from gastrula to pup
Chengxiang Qiu, Beth Martin, … Jay Shendure·NaturePeer-reviewed·Feb 14, 2024
- Single cell RNA-sequencing reveals cellular heterogeneity and trajectories of lineage specification during murine embryonic limb development
Natalie H. Kelly, Nguyen P.T. Huynh, Farshid Guilak·Matrix BiologyPeer-reviewed·Dec 23, 2019
- Transcriptional profiling from whole embryos to single neuroblast lineages in Drosophila
Austin Q. Seroka, Sen-Lin Lai, Chris Q. Doe·Developmental BiologyPeer-reviewed·May 31, 2022
- Spatial transcriptomics map of the embryonic mouse brain: a tool to explore neurogenesis
Barbara Di Marco, Javier Vázquez-Marín, … Julieta Alfonso·Biology OpenPeer-reviewed·Oct 15, 2023
- Systems-level identification of transcription factors critical for mouse embryonic development
Kai Zhang, Mengchi Wang, … Wei Wang·Science AdvancesPeer-reviewed·Mar 1, 2019
- Single-cell transcriptome analysis of human, marmoset and mouse embryos reveals common and divergent features of preimplantation development
Thorsten Boroviak, Giuliano Giuseppe Stirparo, … Paul Bertone·DevelopmentPeer-reviewed·Nov 1, 2018