The invariant development and transparent body of the nematode Caenorhabditis elegans enables complete delineation of cell lineages throughout development. Despite extensive studies of cell division, cell migration and cell fate differentiation, cell morphology during development has not yet been systematically characterized in any metazoan, including C. elegans. This knowledge gap substantially hampers many studies in both developmental and cell biology. Here we report an automatic pipeline, CShaper, which combines automated segmentation of fluorescently labeled membranes with automated cell lineage tracing. We apply this pipeline to quantify morphological parameters of densely packed cells in 17 developing C. elegans embryos. Consequently, we generate a time-lapse 3D atlas of cell morphology for the C. elegans embryo from the 4- to 350-cell stages, including cell shape, volume, surface area, migration, nucleus position and cell-cell contact with resolved cell identities. We anticipate that CShaper and the morphological atlas will stimulate and enhance further studies in the fields of developmental biology, cell biology and biomechanics.
Cell lineage consists of cell division timing, cell migration and cell fate, and is highly conserved during development of nematode species. An outstanding question is how differentiated cells are genetically and physically regulated in order to migrate to their precise destination among individuals. Here, we first generated a reference embryo using time-lapse 3 dimensional images of 222 wild-type C. elegans embryos at about 1.5-minute interval. This was achieved by automatic tracing and quantitative analysis of cellular phenotypes from 4-to 24-cell stage, including cell cycle duration, division orientation and migration trajectory. We next characterized cell division timing and cell kinematic state, which suggests that eight groups of cells can be clustered based on invariant and distinct division sequence. Cells may still be moving while others start to divide, indicating strong robustness against motional noise in developing embryo. We then devised a system-level phenotyping method for detecting mutant defect in global growth rate, cell cycle duration, division orientation and cell arrangement. A total of 758 genes were selected for perturbation by RNA interference followed by automatic phenotyping, which suggests a cryptic genetic architecture coordinating early morphogenesis spatially and temporally. The high-quality wild-type reference supports a conceptual close-packing model for cell arrangement during 4-to 8-cell stage, implying fundamental mechanical laws regulating the topological structure of early C. elegans embryo. Also, we observed a series of remarkable morphogenesis phenomena such as induced defect or recovery from defect in mutant embryo. To facilitate use of this quantification system, we built a software named STAR 1.0 for visualizing the wild-type reference and mutant phenotype. It also allows automatic phenotyping of new mutant embryo. Taken together, we not only provide a statistical wild-type reference with defined variability, but also shed light on both genetic and physical mechanisms coordinating early embryonic morphogenesis of C. elegans. The statistical reference permits a sensitive approach for mutant phenotype analysis, with which we phenotype a total of 1818 mutant embryos by depletion of 758 genes. Figure 1. Establishment of wild-type morphogenesis reference with spatio-temporal properties at single-cell level. A. A pipeline consisting of data acquisition, quality control, data processing and data integration. B. Time-lapse 3D in vivo imaging, embryo reconstruction and automatic cell-position tracing on a C. elegans embryoexpressing GFP in nucleus (green) and PH(PLC1d1) in membrane (red). The whole duration lasted from 4-to 350-cell stage ; the membrane marker here is only for illustration purpose, as most of the data in this work was not obtained from this strain ; 2-cell, 4-cell and 8-cell stages are presented (Supplementary Material 2). C. Cell-lineage tree up to 51-cell stage with tissue-differentiation information [1,21] and cell grouping based on invariant division ordering...
Morphogenesis is a precise and robust dynamic process during metazoan embryogenesis, consisting of both cell proliferation and cell migration. Despite the fact that much is known about specific regulations at molecular level, how cell proliferation and migration together drive the morphogenesis at cellular and organismic levels is not well understood. Using Caenorhabditis elegans as the model animal, we present a phase field model to compute early embryonic morphogenesis within a confined eggshell. With physical information about cell division obtained from three-dimensional time-lapse cellular imaging experiments, the model can precisely reproduce the early morphogenesis process as seen in vivo, including time evolution of location and morphology of each cell. Furthermore, the model can be used to reveal key cell-cell attractions critical to the development of C. elegans embryo. Our work demonstrates how genetic programming and physical forces collaborate to drive morphogenesis and provides a predictive model to decipher the underlying mechanism.
The early embryogenesis in the nematode Caenorhabditis elegans is well-known for its stereotypic precision of cell arrangements and their lineage relationship. Much research has been focused on how biochemical processes achieve the highly reproducible cell lineage tree. However, the origin of the robustness in the cell arrangements is poorly understood. Here, we set out to provide a mechanistic explanation of how combining mechanical forces with the order and orientation of cell division ensures a robust arrangement of cells. We used a simplified mechanical model to simulate the arrangement of cells in the face of different disturbances. As a result, we revealed three fail-safe principles for cell self-organization in early nematode embryogenesis: ordering, simultaneity, and the division orientation of cell division events. Our work provides insight into the developmental strategy and contributes to the understanding of how robust or variable the cell arrangement can be in developing embryos.
Nematode species are well-known for their invariant cell lineage pattern, including reproducible division timing, volume segregation, fate specification and migration trajectory for each and every cell during embryonic development. Here, we study the fundamental principle optimizing cell lineage pattern with Caenorhabditis elegans. Combining previous knowledge about the fate specification induced by asymmetric division and the anti-correlation between cell cycle length and cell volume, we propose a model to simulate lineage by altering cell volume segregation ratio in each division, and quantify the derived lineage's performance in proliferation rapidity, fate diversity and space robustness (PFS Model). The stereotypic pattern in early C. elegans embryo is one of the most optimal solutions taking minimum time to achieve the cell number before gastrulation. Our methods lay a foundation for deciphering principles of development and guiding designs of bio-system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.