Jain-Sharma, V. | Search bioRxiv

bioRxiv2025

Stationary and germ layer-specific cellular flows shape the zebrafish gastrula

During gastrulation, a sequence of complex processes transforms the blastula into a multi-layered embryo. Fixed sample analysis has revealed much about how genetic signaling cascades determine the major body axes and organize cell fate patterns into the germ layers: ectoderm, mesoderm, and endoderm. In toto live imaging of vertebrate development highlights that embryogenesis is a dynamic process that involves on the order of ten thousand cells, but hurdles related to data handling have hampered quantitative analysis. Therefore, our understanding of the rich physical aspects of multilayered tissue reconfigurations remains incomplete. Here, we reveal that modules of stationary and germ-layer-specific tissue flows shape the zebrafish gastrula. We combine in toto live imaging with tissue-specific markers and image analysis to reveal the global shape of the enveloping layer (EVL), epiblast, and mesoderm over time. A user-friendly tissue cartography pipeline based on the Blender 3D software moves into the reference frame of individual tissue layers. We find distinct tissue flow patterns in the enveloping layer (EVL), epiblast, and mesoderm, respectively. The instantaneous tissue flow of these germ layers is organized in a temporal sequence of hours-long, constant flow patterns. This suggests that a sequence of stationary tissue flow modules transports cells to their destination during gastrulation. Mathematical decomposition suggests that epiblast flow is strongly influenced by a superposition of rotational flow in the mesoderm, and divergent flow in the EVL. Molecular and cellular complexity notwithstanding, these results hint at surprisingly, tractable physical processes that underlie vertebrate gastrulation, and set the stage for investigations of how morphogens orchestrate dynamics.

developmental biology↗

bioRxiv2022

Morphodynamic Atlas for Drosophila Development

During morphogenesis, diverse cell-scale and tissue-scale processes couple to dynamically sculpt organs. In this coupling, genetic expression patterns and biochemical signals regulate and respond to mechanical deformations to ensure reproducible and robust changes in tissue geometry. A long-standing approach to characterize these interactions has been the construction of expression atlases, and these atlases have necessarily relied on fixed snapshots of embryogenesis. Addressing how expression profiles relate to tissue dynamics, however, requires a scheme for spatiotemporal registration across different classes of data that incorporates both live samples and fixed datasets. Here, we construct a morphodynamic atlas that unifies fixed and live datasets - from gene expression profiles to cytoskeletal components - into a single, morphological consensus timeline. This resource and our computational approach to global alignment facilitate hypothesis testing using quantitative comparison of data both within and across ensembles, with resolution in both space and time to relate genes to tissue rearrangement, cell behaviors, and out-of-plane motion. Examination of embryo kinematics reveals stages in which tissue flow patterns are quasi-stationary, arranged as a sequence of morphodynamic modules. Temperature perturbations tune the duration of one such module - during body axis elongation - according to a simple, parameter-free scaling in which the total integrated tissue deformation is achieved at a temperature-dependent rate. By extending our approach to visceral organ formation during later stages of embryogenesis, we highlight how morphodynamic atlases can incorporate complex shapes deforming in 3D. In this context, morphodynamic modules are reflected in some, but not all, measures of tissue motion. Our approach and the resulting atlas opens up the ability to quantitatively test hypotheses with resolution in both space and time, relating genes to tissue rearrangement, cell behaviors, and organ motion.

developmental biology↗