Biology subjects

Theis, S.

Publications and source records attributed to Theis, S..

6 recordsLinked to original sources

bioRxiv2025

Identification of optimal fluorophores for use in the Drosophila embryo

The use of fluorescent proteins has become ubiquitous throughout the life sciences as a key method for understanding molecular, cellular and tissue scale processes. Genetically encodable fluorophores have enabled stable genetic lines to be generated in a large array of organisms. There are now suites of fluorophores available, particularly in the green and red spectra. Yet, which fluorophore works best in vivo can depend on a range of factors, both extrinsic (e.g. pH, temperature) and intrinsic (e.g. photobleaching, brightness). While fluorophores have been well characterised in cell culture, such measures within in vivo systems are more limited. Here, we present a quantitative screen of nine green and eight red fluorophore lines in Drosophila, with the fluorescent protein expressed from the same genomic location and imaged under identical conditions. We analyse the expression of the fluorophores in both early and late Drosophila embryos. We provide a quantitative analysis of the bleaching and folding rates. We find amongst the green fluorophores that the suitable choice - e.g., mEGFP, mNeonGreen, mStayGold - depends on timing and imaging requirements. For the red fluorophores, mScarlet-I performed consistently well, though no particular fluorophore stood out as ideal under all conditions. These results provide a powerful database for selecting optimal fluorophores for imaging in the Drosophila embryo in green and red channels.

developmental biology↗

bioRxiv2025

A structural transition ensures robust formation of skeletal muscle

During organ development cells undergo significant morphological and positional changes. Yet, by the end of organogenesis, internal organ structure is typically robustly defined, with cells tightly packed. It remains an open question as to how the three-dimensional (3D) internal structure of an organ emerges reliably, particularly when there are multiple cell types interacting and dynamic boundary constraints. Here, we utilise quantitative live imaging and 3D morphological measures of the developing zebrafish myotome to unravel how early muscle organisation emerges. Contrary to the textbook view of muscle fibres as cylindrical, myocytes undergo an ordered chiral twist, the direction and magnitude of which depends on their position within the myotome. Further, cells skew and rearrange, seemingly to facilitate close packing of neighbouring muscle fibres. Cell movement undergoes a rapid decline in speed once the cells span the myotome segment. We find that cell packing is altered in mutants that disrupt cell fate or cell fusion, even though the final muscle segments remain largely confluent. Biophysical perturbation reveals that the cells are mechanically plastic, able to adjust to changes in the local cellular environment and boundary constraints. Taking these results together, we propose that the early myotome undergoes a structural transition, from a fluid-like state into a frozen state, resembling glass-like behaviour. Cellular plasticity in response to varying boundary constraints may be a general mechanism for ensuring robust organ morphogenesis in dense 3D tissues.

developmental biology↗

bioRxiv2025

Boundary constraints can determine pattern emergence

The robust patterning of cell fates during embryonic development requires precise coordination of signalling gradients within defined spatial constraints. Using a geometrically confined in vitro system derived from human embryonic stem cells, we demonstrate that patterning of neuromesodermal progenitors (NMPs) during axial elongation is driven by boundary-dependent mechanisms. Despite extensive work on radial fate patterning in confined 2D systems, the quantitative role of boundary conditions in shaping spatiotemporal dynamics remains unclear. Here, we show that a minimal reaction-diffusion model coupled with a simplified gene regulatory network accurately predicts spatial patterns across diverse geometries. Guided by its predictions, we identify Wnt signalling as a key component of the activator signal. Inhibition of Wnt secretion preserved initiation of patterning but disrupted subsequent morphogenesis, indicating distinct mechanisms govern pattern establishment versus maintenance. Our findings reveal how geometry encodes positional information that directs molecular patterning, providing insight into how spatial constraints and signalling dynamics guide robust tissue self-organisation during development.

systems biology↗

bioRxiv2025

Stress anisotropy in 3D active curved structures

Layers composed of lateral connections prevail in biological systems from subcellular membranes to epithelial sheets. This work presents a continuum framework to describe the effects of mechanical forces within a 3D curved layer with supporting lateral mesh. We provide detailed discussion on the emergence of stress anisotropy as a function of depth in different curvature settings, building on Lou et al. Phys. Rev. Lett. 130, 108401 (2023). We principally consider an epithelial monolayer to explain how the interplay between layer curvature and cell mechanics determines the stress anisotropy. We show that this can lead to irregular cellular shapes in 3D, including scutoid-like geometries. Our framework is general, and can be extended to a diverse set of biologically relevant systems.

biophysics↗

bioRxiv2024

CellMet: Extracting 3D shape metrics from cells and tissues

During development and tissue repair, cells reshape and reconfigure to ensure organs take specific shapes. This process is inherently three-dimensional (3D). Yet, in part due to limitations in imaging and data analysis, cell shape analysis within tissues have been studied as a two-dimensional (2D) approximation, e.g., the Drosophila wing disc. With recent advances in imaging and machine learning, there has been significant progress in our understanding of 3D cell and tissue shape in vivo. However, even after gaining 3D segmentation of cells, it remains challenging to extract cell shape metrics beyond volume and surface area for cells within densely packed tissues. In order to extract 3D shape metrics, we have developed CellMet. This user-friendly tool enables extraction of quantitative shape information from 3D cell and tissue segmentation. It is developed for extracting cell scale information from densely packed tissues, such as cell face properties, cell twist, and cell rearrangements. Our method will improve the analysis of 3D cell shape and the understanding of cell organisation within tissues. Our tool is open source, available at https://github.com/TimSaundersLab/CellMet.

developmental biology↗

bioRxiv2020

Mechanical control of morphogenesis robustness

Epithelial sheets undergo highly reproducible remodeling to shape organs. This stereotyped morphogenesis depends on a well-defined sequence of events leading to the regionalized expression of developmental patterning genes that finally triggers downstream mechanical forces to drive tissue remodeling at a pre-defined position. However, how tissue mechanics controls morphogenetic robustness when challenged by intrinsic perturbations in close proximity has never been addressed. Here, we show that a bias in force propagation ensures stereotyped morphogenesis despite the presence of mechanical noise in the environment. We found that knockdown of the Arp2/3 complex member Arpc5 specifically affects fold directionality without altering neither the developmental nor the force generation patterns. By combining in silico modeling, biophysical and ad hoc genetic tools, our data reveal that junctional Myosin II planar polarity favors long-range force channeling and ensures folding robustness, avoiding force scattering and thus isolating the fold domain from surrounding mechanical perturbations.

developmental biology↗