Biology subjects

Repina, N. A.

Publications and source records attributed to Repina, N. A..

4 recordsLinked to original sources

bioRxiv2026

Fractal: Towards FAIR bioimage analysis at scale with OME-Zarr-native workflows

The rapid growth in microscopy data volume, dimensionality, and diversity urgently calls for scalable and reproducible analysis frameworks. While efforts on the open OME-Zarr format have helped standardize the storage of large microscopy datasets, solutions for standardized processing are still lacking. Here, we introduce two complementary contributions to address this gap: 1) the Fractal task specification, defining OME-Zarr processing units that can interoperate across computational environments and workflow engines, and 2) the Fractal platform, using this specification to enable scalable and modular OME-Zarr-native analysis workflows. We demonstrate their use across diverse biological research data, including terabyte-scale multiplexed, volumetric, and time-lapse imaging. In a clinical setting, we show that Fractal workflows achieve near-identical quantification of millions of cells across independent deployments, demonstrating the reproducibility required for translational applications. With its growing community of contributors, the Fractal ecosystem provides a foundation for FAIR microscopy image analysis relying on open file formats.

bioinformatics↗

bioRxiv2025

Cell heterogeneity and fate bistability drive tissue patterning during intestinal regeneration

Tissue regeneration relies on the ability of cells to undergo de novo patterning. While tissue patterning has been viewed as the transition from initially identical un-patterned cells to an arrangement of different cell types, recent evidence suggests that initial heterogeneities between cells modulate tissue-scale pattern formation. Yet, how such heterogeneities arise and, thereafter, regulate cell type emergence in a population of cells is poorly understood. Using in vivo and in vitro mouse regenerative systems, we identify a critical tissue density that is required to induce heterogeneous inactivation of the mechanosensor YAP1. Experimental and biophysical approaches demonstrate that YAP1 cell-to-cell heterogeneity pre-patterns the first cell fate decision, via both chromatin remodelling and a supracellular feedback between FOXA1 and Delta-Notch signalling. This feedback motif induces cell fate bistability endowing memory to the system and the maintenance of patterns during homeostasis. These findings reveal a generalisable framework in which transient cell-to-cell heterogeneity, regulated by tissue-scale properties, serves as a critical control parameter for the emergence of cell fate and stable patterning during regeneration.

cell biology↗

bioRxiv2019

Engineered illumination devices for optogenetic control of cellular signaling dynamics

Spatially and temporally varying patterns of morphogen signals during development drive cell fate specification at the proper location and time. However, current in vitro methods typically do not allow for precise, dynamic, spatiotemporal control of morphogen signaling and are thus insufficient to readily study how morphogen dynamics impact cell behavior. Here we show that optogenetic Wnt/{beta}-catenin pathway activation can be controlled at user-defined intensities, temporal sequences, and spatial patterns using novel engineered illumination devices for optogenetic photostimulation and light activation at variable amplitudes (LAVA). The optical design of LAVA devices was optimized for uniform illumination of multi-well cell culture plates to enable high-throughput, spatiotemporal optogenetic activation of signaling pathways and protein-protein interactions. Using the LAVA devices, variation in light intensity induced a dose-dependent response in optoWnt activation and downstream Brachyury expression in human embryonic stem cells (hESCs). Furthermore, time-varying and spatially localized patterns of light revealed tissue patterning that models embryonic presentation of Wnt signals in vitro. The engineered LAVA devices thus provide a low-cost, user-friendly method for high-throughput and spatiotemporal optogenetic control of cell signaling for applications in developmental and cell biology.

bioengineering↗

bioRxiv2019

Optogenetic control of Wnt signaling for modeling early embryogenic patterning with human pluripotent stem cells

The processes of cell proliferation, differentiation, migration, and self-organization during early embryonic development are governed by dynamic, spatially and temporally varying morphogen signals. Analogous tissue patterns emerge spontaneously in embryonic stem cell (ESC) models for gastrulation, but mechanistic insight into this self-organization is limited by a lack of molecular methods to precisely control morphogen signal dynamics. Here we combine optogenetic stimulation and single-cell imaging approaches to study self-organization of human pluripotent stem cells. Precise control of morphogen signal dynamics, achieved through activation of canonical Wnt/{beta}-catenin signaling over a broad high dynamic range (>500-fold) using an optoWnt optogenetic system, drove broad transcriptional changes and mesendoderm differentiation of human ESCs at high efficiency (>95% cells). Furthermore, activating Wnt signaling in subpopulations of ESCs in 2D and 3D cultures induced cell self-organization and morphogenesis reminiscent of human gastrulation, including changes in cell migration and epithelial to mesenchymal transition. Our findings thus reveal an instructive role for Wnt in directing cell patterning in this ESC model for gastrulation.

bioengineering↗