Spatiotemporal compartmentalization of key physiological processes during muscle precursor differentiation

Abstract

The development of multicellular organisms is controlled by transcriptional networks. Understanding the role of these networks requires a full understanding of transcriptome regulation during embryogenesis. Several microarray studies have characterized the temporal evolution of the transcriptome during development in different organisms [Wang QT, et al. (2004) In all cases, however, experiments were performed on whole embryos, thus averaging gene expression among many different tissues. Here, we took advantage of the local synchrony of the differentiation process in the paraxial mesoderm. This approach provides a unique opportunity to study the systems-level properties of muscle differentiation. Using high-resolution, spatiotemporal profiling of the early stages of muscle development in the zebrafish embryo, we identified a major reorganization of the transcriptome taking place in the presomitic mesoderm. We further show that the differentiation process is associated with a striking modular compartmentalization of the transcription of essential components of cellular physiological programs. Particularly, we identify a tight segregation of cell cycle/DNA metabolic processes and translation/oxidative metabolism at the tissue level, highly reminiscent of the yeast metabolic cycle. These results should expand more investigations into the developmental control of metabolism.mesoderm | metabolism | stem cell | transcription factors

Differentiation of pluripotent stem cells to muscle fiber to model Duchenne muscular dystrophy

“…1d), as previously reported for zebrafish 25 . A comparison of gene expression fold changes between the two domains ( Fig.…”

NEUROG2 Drives Cell Cycle Exit of Neuronal Precursors by Specifically Repressing a Subset of Cyclins Acting at the G1and S Phases of the Cell Cycle

“…All samples were normalized and summarized by the robust multichip analysis (RMA) normalization method using the Affymetrix package in Bioconductor version release (2.4.1). Gene annotations were completed by using the Manteia database (41,51). Significant differences in gene expression were identified using the analysis of variance (ANOVA) and a false discovery rate (FDR) of 0.01 (4,26).…”

Making muscle: skeletal myogenesisin vivoandin vitro

“…1A). Cells of the posterior presomitic mesoderm undergo abrupt signaling, metabolic and transcriptional changes as they enter the anterior presomitic mesoderm (Chal et al, 2015;Oginuma et al, 2017;Ozbudak et al, 2010) (Fig. 1A), including downregulation of Msgn1 and activation of Mesp2, Pax3, Foxc1/2 and Meox1/2 (Goulding et al, 1991;Kume et al, 2001;Mankoo et al, 2003;Saga et al, 1997) (Fig.…”