Biology subjects

Letort, G.

Publications and source records attributed to Letort, G..

At least 19 recordsLinked to original sources

bioRxiv2026

Elevated cortical tension triggers precocious ectopic polarization in mammalian oocytes, associated with lower developmental potential.

Oocytes from many organisms polarize early during development, unlike mammalian oocytes. The significance of maintaining this homogeneous state in mammals remains unclear. We show that elevated cortical tension, via increased actomyosin contractility or disrupted cortical architecture, induces precocious cortical polarization mid-meiosis I, with an ectopic actomyosin-rich domain opposite the future division site. This polarization generates directional cytoplasmic flows that displace organelles and the spindle, accelerating its migration and disrupting its orientation. A hydrodynamic model coupling the polarized cortex to a viscous cytoplasm accounts for these rearrangements. Ectopic polarization persists in meiosis II and is associated with mislocalization of fertilization factors, increased fertilization rates and polyspermy, and reduced early embryonic development. A similar morphological signature arises spontaneously in subsets of mouse and human oocytes. These results reveal precocious cortical polarization as a previously unrecognized, mechanically accessible state largely absent from mammalian oocytes, which may contribute to variability in oocyte quality.

cell biology↗

bioRxiv2026

Linking transcriptome to cell behavior in real time uncovers molecular fate-asymmetry and a quiescence cycle among adult neural stem cells

Adult neural stem cells (NSCs) are transcriptionally heterogeneous, yet the relationship between molecular heterogeneities and individual NSC trajectories remains unclear. Here, we link transcriptional identities with cellular features and measures of real time to identify molecular trajectories hidden within transcriptomic space. Among self-renewing NSCs, we resolve single-cell molecular transitions associated with fate asymmetry at division. We also show that individual self-renewing NSCs progressively transition from molecular states of deep to shallow quiescence during prolonged quiescence phases. Together, this work reveals individual NSC trajectories within transcriptomic space during fate decisions and state transitions. In particular, it highlights the existence of a transcriptionally encoded quiescence cycle followed by adult NSCs, independent of lineage progression, that balances division with cell growth to sustain self-renewal over time.

developmental biology↗

bioRxiv2026

mTORC1 supports progression toward activation competence in quiescent adult neural stem cells

Neural stem cells (NSCs) sustain lifelong neurogenesis through the tight regulation of quiescence, self-renewal and differentiation. Quiescent NSCs (qNSCs) exist in distinct substates, ranging from deep to shallow quiescence, yet the mechanisms governing these transitions remain unclear. In long-term self-renewing NSCs of the adult zebrafish pallium, we show that mTORC1 activity is specifically enriched during a prolonged quiescence phase in which NSCs acquire activation competence. Functional perturbations, analyzed in situ and using single-cell RNA sequencing, reveal that mTORC1 regulates cell progression during this phase, concomitantly ensuring the correct tempo for NSC transition towards activation and the preservation of stemness. These findings challenge the classical view of mTORC1 as a simple regulator of proliferation and identify it as a key regulator of NSC quiescence heterogeneity and dynamics under physiological conditions. By coordinating stemness maintenance with activation competence, mTORC1 emerges as a central player balancing long-term NSC preservation with neurogenic output in the adult brain.

cell biology↗

bioRxiv2026

EpiCure (Epithelial Curation): a versatile and handy tool for curation of epithelial segmentation

Investigating single-cell dynamics and morphology in tissues and embryos requires highly accurate quantitative analysis of microscopy images. Despite significant advances in the field of bioimage analysis, even the most sophisticated segmentation and tracking algorithms inevitably produce errors (e.g. : over segmentation, missing objects, miss-connected objects). Although error rate may be small, their propagation throughout a time-lapse sequence has catastrophic effects on the accuracy of tracking and extraction of single cell parameters. Extracting single cell temporal information in the context of tissue/embryo requires thus expert curation to identify and correct segmentation errors. In the movies commonly used in developmental biology and stem cell research, both the number of imaged cells and the duration of recording are large, making this manual correction task extremely time-consuming. This has now become a major bottleneck in the fields of development, stem cell biology and bioimage analysis. We present here EpiCure (Epithelial Curation), a versatile tool designed to streamline and accelerate manual curation of segmentation and tracking in 2D movies of large epithelial tissues. EpiCure uses temporal information and morphometric parameters to automatically identify segmentation and tracking errors and provides user-friendly tools to correct them. It focuses on ergonomics and offers several visualization options to help navigating in movies of tissue covering a large number of cells, speeding up the detection of errors and their curation. EpiCure is highly interoperable and supports input from a wide range of segmentation tools. It also includes multiple export filters, enabling seamless integration with downstream analysis pipelines. In this paper, using movies from several animal models, we highlight the importance of curating cell segmentation and tracking for accurate downstream analysis, and demonstrate how EpiCure helps the curation process for extracting accurate single cell dynamics and cellular events detection, making it faster and amenable on large dataset.

developmental biology↗

bioRxiv2025

VANGL2 shapes the mouse heart tube from adjacent epithelia and without planar polarity

Disruption of the core Planar Cell Polarity component VANGL2 in mice is associated with congenital heart defects and impaired morphogenesis of the embryonic heart tube. However, the underlying mechanisms have remained unclear. Here we quantified in 3D the heart geometry and adjacent tissue architecture in a series of mutants to reveal a dual role of Vangl2 in shaping the heart tube. Together with cell labelling in the chick, we show that VANGL2 in multicellular junctions promotes second heart field cell rearrangements and thus the elongation of the arterial pole. In addition, apically localised VANGL2 and its downstream actin-binding effector SHROOM3 control the bilateral symmetry of the splanchnic mesoderm caudal to the venous pole. Disorganisation of this midline anchor is associated with a rotation of the heart tube and abnormal left ventricle position. Our work overall uncovers novel specific epithelial roles of VANGL2 unrelated to planar polarity during heart morphogenesis.

developmental biology↗

bioRxiv2025

FishFeats: streamlined quantification of multimodal labeling at the single-cell level in 3D tissues

SummaryCharacterizing the distribution of biological marker expression at the single cell level in whole tissues requires diverse image analysis steps, such as segmentation of cells and nuclei, detection of RNA transcripts (or other staining), or their integration (e.g., assigning nuclei and RNA dots to their corresponding cell). Several software programs or algorithms have been developed for each step independently, but integrating them into a comprehensive pipeline for the quantification of individual cells from 3D imaging samples remains a significant challenge. We developed FishFeats, an open-source and flexible Napari (Sofroniew et al. 2025) plugin, to perform all of these steps together within the same framework, taking advantage of available and efficient software applications. The primary core of our pipeline is to propose a user-friendly tool for users who do not have a computational background. FishFeats streamlines extracting quantitative information from multimodal 3D fluorescent microscopy images (smFISH expression in individual cells, immunohistochemical staining, cell morphologies, cell classification) to a unified "cell-by-cell" table for downstream analysis, without requiring any coding. Our second focus is to propose and ease manual correction of each step, as measurement accuracy can be very sensitive to small errors in the automatic process. Availability and implementationFishFeats is open source under the BSD-3 license, freely available on github: https://github.com/gletort/FishFeats. FishFeats is developed in python, as a Napari plugin for the user interface. Documentation is available in the github pages: https://gletort.github.io/FishFeats/.

developmental biology↗

bioRxiv2025

Impaired stem cell migration and divisions in Duchenne Muscular Dystrophy revealed by live imaging

Dysregulation of stem cell properties is a hallmark of many pathologies, but the dynamic behaviour of stem cells in their microenvironment during disease progression remains poorly understood. Using the mdx mouse model of Duchenne Muscular Dystrophy, we developed innovative live-imaging of muscle stem cells (MuSCs) in vivo, and ex vivo on isolated myofibres. We show that mdx MuSCs have impaired migration and precocious differentiation through unbalanced symmetric divisions, driven by p38 and PI3K signalling pathways, in contrast to the p38-only dependence of healthy MuSCs. Cross-grafting shows that MuSC fate decisions are governed by intrinsic cues, whereas their migration behaviour is determined by the extracellular niche. This study provides the first dynamic analysis of dystrophic MuSC properties in vivo, reconciling conflicting reports on their function. Our findings establish DMD as a MuSC disease with intrinsic defects and niche dysfunction, offering strategies to restore stem cell functions for improved muscle regeneration.

cell biology↗

bioRxiv2025

A novel RNP compartment boosts translation in growing mouse oocytes to avoid cytoplasm dilution

Mammalian oocytes undergo a long growth phase in the ovary, during which transcriptional levels gradually decrease. Growing oocytes must therefore accumulate maternal stores and regulate their translation to achieve successful divisions and early embryo development. Using immunofluorescence, mass spectrometry and electron microscopy, we identified a novel and transient compartment, the Zollo Body, in late growing mouse oocytes, constituted of RNPs and organelles. Morphologically, this structure resembles the Balbiani body found in most vertebrate species but it stains positively for nascent translation and active phospho-mTOR. RNAseq analysis and dry mass measurements of growing oocytes with or without this compartment further support its key role in boosting translation, allowing growing oocytes to avoid cytoplasmic dilution despite their rapid size increase, ultimately ensuring their developmental potential.

cell biology↗

bioRxiv2025

Circularization of Single-Stranded DNA Donor Template Unleashes the Power of Non-Viral Gene Delivery for Long-Term HSCs editing

Over the past decade, non-viral DNA template delivery has been used with engineered nucleases to target single-stranded DNA sequences in hematopoietic stem and progenitor cells. While effective for gene therapy, this method has been limited to short DNA donor templates, restricting its applications to gene corrections. To expand its scope, we developed an editing process using kilobase-long circular single-stranded DNA donor templates and TALEN technology. Our results show that the CssDNA editing process achieves high gene insertion frequency in viable HSPCs. Compared to a conventional AAV-editing process, CssDNA-edited HSPCs show a higher propensity to engraft and maintain gene edits in a murine model. This positive outcome is partly due to higher levels of primitive edited HSPCs, a more quiescent metabolic state, and elevated expression of bone marrow niche adhesion markers. Our findings highlight the strong potential of CssDNA as a universal and efficient non-viral DNA template for gene therapy applications.

bioengineering↗

bioRxiv2024

Local activation of Cxcl12a signaling controls olfactory placode morphogenesis in zebrafish embryos

Morphogenesis and cell-type differentiation are highly coordinated in sensory organs to ensure their function. Morphogenesis of the olfactory epithelium (OE) in zebrafish provides a unique model to study this process as undifferentiated cells aligned around the anterior neural plate mature into clusters of early olfactory neurons across a short time scale. While the Cxcl12a/Cxcr4b signaling pathway drives this process, what constraints on pathway activation apply during morphogenesis are unclear. We developed a mathematical model recapitulating Cxcl12a-mediated OE morphogenesis. Restoring Cxcl12a expression in mutants for the ligand rescues correct morphogenesis both in silico and in vivo. However, where expression of the ligand is restored is crucial for rescue, a point not predicted by our model and suggesting an unexpected level of pathway activation control. Analysis of a Cxcr4b activation reporter supports this idea. We concluded that mosaic and heterochronic Cxcl12a activation along the anteroposterior axis sculpts the olfactory epithelium.

developmental biology↗

bioRxiv2023

DeXtrusion: Automatic recognition of epithelial cell extrusion through machine learning in vivo

Epithelial cell death is highly prevalent during development and in adult tissues. It plays an essential role in the regulation of tissue size, shape, and turnover. Cell elimination relies on the concerted remodelling of cell junctions, so-called cell extrusion, which allows the seamless expulsion of dying cells. The dissection of the regulatory mechanism giving rise to a certain number and pattern of cell death was so far limited by our capacity to generate high-throughput quantitative data on cell death/extrusion number and distribution in various perturbed backgrounds. Indeed, quantitative studies of cell death rely so far on manual detection of cell extrusion events or through tedious systematic error-free segmentation and cell tracking. Recently, deep learning was used to automatically detect cell death and cell division in cell culture mostly using transmission light microscopy. However, so far, no method was developed for fluorescent images and confocal microscopy, which constitute most datasets in embryonic epithelia. Here, we devised DeXtrusion, a pipeline for automatic detection of cell extrusion/cell death events in larges movies of epithelia marked with cell contour and based on recurrent neural networks. The pipeline, initially trained on large movies of the Drosophila pupal notum marked with fluorescent E-cadherin, is easily trainable, provides fast and accurate extrusion/cell death predictions in a large range of imaging conditions, and can also detect other cellular events such as cell division or cell differentiation. It also performs well on other epithelial tissues with markers of cell junctions with reasonable retraining.

developmental biology↗

bioRxiv2022

When Mechanical Stress Matters: Generation of Polyploid Giant Cancer Cells in Tumor-like Microcapsules

In this work, we studied the generation and rising of polyploid cancer cells as a product of mechanical stress. To this purpose, MCF7 breast cancer cells were cultured on 2D (i.e. flasks, or flat hydrogels), and in 3D milieus (i.e. Spheroids, or immobilized within alginate-gelatin microbeads, named in this work as tumor-like microcapsules), and further analyzed by biophysical and genetic methods (i.e. single-cell Traction Force Microscopy and RNA-seq respectively). Our results show that MCF7 cells preconditioned onto 2D surfaces exhibit a low number of polynucleated cells, while their culture in 3D environments triggered their progressive generation with time. Genetic studies enabled us to determine that polyploid cells found in tumor-like microcapsules are likely originated by cell-cell fusion and disrupted cytokinesis, showing most of the genetic markers for Polyploid Giant Cancer Cell, while cells cultured as spheroids seem to be likely generated by other mechanisms, such as cell cannibalisms, entosis, or emperipolesis. Our outcomes strongly suggest that both mechanical stress and confinement are required to stimulate cell polyploidy, which can be easily addressed by the immobilization of breast cancer cells in tumor-like microcapsules.

bioengineering↗

bioRxiv2022

The filipodia-like protrusions of adjacent somatic cells shape the developmental potential of mouse oocytes

The oocyte must grow and mature before fertilization, thanks to a close dialogue with the somatic cells which surround it. Part of this communication is through filopodialike protrusions, called transzonal projections (TZPs), sent by the somatic cells to the oocyte membrane. To investigate the contribution of TZPs to oocyte quality, we impaired their structure by generating a full knockout mouse of the TZP structural component Myosin-X (MYO10). Using spinning disk and super-resolution microscopy combined with a machine learning approach to phenotype oocyte morphology, we show that the lack of Myo10 decreases TZP density during oocyte growth. Reduction in TZPs does not prevent oocyte growth but impairs oocyte-matrix integrity. Importantly, we reveal by transcriptomic analysis that gene expression is altered in TZP-deprived oocytes, and that oocyte maturation and subsequent early embryonic development are partially affected, effectively reducing mouse fertility. We propose that TZPs play a role in the structural integrity of the germline-somatic complex, which is essential for regulating gene expression in the oocyte and thus its developmental potential.

cell biology↗

bioRxiv2022

An interpretable and versatile machine learning approach for oocyte phenotyping

Meiotic maturation is a crucial step of oocyte development allowing its potential fertilization and embryo development. Elucidating this process is important both for fundamental research and assisted reproductive technology. However, only few computational tools, based on non-invasive measurements, are currently available to characterize oocyte meiotic maturation. Here, we develop a computational framework to phenotype oocytes based on images or movies acquired exclusively in transmitted light. We first trained neural networks to segment the contours of oocytes and their zona pellucida using a diverse cohort of both mouse and human oocytes. We then defined a comprehensive set of morphological features to describe a single oocyte. We have implemented these steps in a versatile and user-friendly open source Fiji plugin available to the mouse and human oocyte community. Then, we present a machine learning pipeline based on selected features to automatically recognize oocyte populations and determine their morphological differences. Its first application is a novel approach to screen oocyte strains and automatically identify their morphological characteristics. We demonstrate its potential by phenotyping a well characterized genetically modified mouse oocyte strain. Its second application is to predict and characterize the maturation potential of oocytes. Importantly, we identify two new features to assess mouse oocyte maturation potential, consisting in the texture of the zona pellucida and the cytoplasmic particles size. Eventually, we tested whether these mouse oocyte quality features were applicable to human oocytes developmental potential.

bioinformatics↗

bioRxiv2021

In mice and humans, the brain's blood vessels mature postnatally to acquire barrier and contractile properties

The brain dense vascular network is essential for distributing oxygen and nutrients to neural cells. The network develops during embryogenesis and leads to the formation of the endothelial blood-brain barrier (BBB). This barrier is surrounded by mural cells (pericytes and vascular smooth muscle cells (VSMCs)) and fibroblasts. Here, we compared the molecular and functional properties of brain vascular cells on postnatal day (P)5 vs. P15, via a transcriptomic analysis of purified mouse cortical microvessels (MVs) and the identification of vascular-cell-type-specific or -preferentially expressed transcripts. We found that endothelial cells (ECs), VSMCs and fibroblasts follow specific molecular maturation programs over this time period. In particular, ECs acquire P-glycoprotein (P-gP)-mediated efflux capacities. The arterial VSMC network expands, acquires contractile proteins (such as smooth muscle actin (SMA) and myosin heavy chain 11 (Myh11)) and becomes contractile. We also analyzed samples of human brain cortex from the early prenatal stage through to adulthood: the expression of endothelial P-gP increased at birth and Myh11 in VSMCs acts as a developmental switch (as in the mouse) at birth and up to the age of 2 of 5 years. Thus, in both mice and humans, the early postnatal phase is a critical period during which the essential properties of cerebral blood vessels (i.e. the endothelial efflux of xenobiotics and other molecules, and the VSMC contractility required for vessel tone and brain perfusion) are acquired and mature.

neuroscience↗

bioRxiv2021

Cytoplasmic forces functionally reorganize nuclear condensates in oocytes

Cells remodel their cytoplasm with force-generating cytoskeletal motors1. Their activity generates random forces that stir the cytoplasm, agitating and displacing membrane-bound organelles like the nucleus in somatic2-4 and germ5-7 cells. These forces are transmitted inside the nucleus4,7, yet their consequences on liquid-like biomolecular condensates8-10 residing in the nucleus remain unexplored. Here, we probe experimentally and computationally diverse nuclear condensates, that include nuclear speckles, Cajal bodies, and nucleoli, during cytoplasmic remodeling of female germ cells named oocytes. We discover that growing mammalian oocytes deploy cytoplasmic forces to timely impose multiscale reorganization of nuclear condensates for the success of meiotic divisions. These cytoplasmic forces accelerate nuclear condensate collision-coalescence and molecular kinetics within condensates. Inversely, disrupting the forces decelerates nuclear condensate reorganization on both scales, compromising condensate-associated mRNA processing and consequently hindering oocyte divisions that drive female fertility. We establish that cytoplasmic forces can reorganize nuclear condensates in an evolutionary conserved fashion in insects. Our work implies that cells evolved a mechanism, based on cytoplasmic force tuning, to functionally regulate a broad range of nuclear condensates across scales. This finding opens new perspectives when studying condensate-associated pathologies like cancer, neurodegeneration and viral infections11-13.

cell biology↗

bioRxiv2020

Acto-myosin network geometry defines centrosome position

The centrosome is the main organizer of microtubules and as such, its position is a key determinant of polarized cell functions. As the name says, the default position of the centrosome is considered to be the cell geometrical center. However, the mechanism regulating centrosome positioning is still unclear and often confused with the mechanism regulating the position of the nucleus to which it is linked. Here we used enucleated cells plated on adhesive micropatterns to impose regular and precise geometrical conditions to centrosome-microtubule networks. Although frequently observed there, the equilibrium position of the centrosome is not systematically at the cell geometrical center and can be close to cell edge. Centrosome positioning appears to respond accurately to the architecture and anisotropy of the actin network, which constitutes, rather than cell shape, the actual spatial boundary conditions the microtubule network is sensitive to. We found that the contraction of the actin network defines a peripheral margin, in which microtubules appeared bent by compressive forces. The disassembly of the actin network away from the cell edges defines an inner zone where actin bundles were absent and microtubules were more radially organized. The production of dynein-based forces on microtubules places the centrosome at the center of this inner zone. Cell adhesion pattern and contractile forces define the shape and position of the inner zone in which the centrosome-microtubule network is centered.

cell biology↗

bioRxiv2019

Chromosomes function as a barrier to mitotic spindle bipolarity in polyploid cells

Whole genome duplications (WGDs) are found in a variety of tumors and are associated with chromosomal instability (CIN) and poor prognosis [1,2]. When induced experimentally, through cytokinesis failure, polyploid cells generate tumors [3]. Cytokinesis failure results in the accumulation of double DNA content, but also of cytoplasmic organelles, such as centrosomes, which are the major microtubule (MT) organizing centers of animal cells. Importantly, even if there is a correlation between polyploidy and CIN [4], the underlying mechanisms generating error-prone mitosis in cells with extra DNA and extra centrosomes are not known. When considering polyploid mitosis, it is essential to take into account the increase in MT nucleation due to the presence of extra centrosomes and extra DNA. The presence of supernumerary centrosomes in a cell, centrosome amplification [5], is associated with mitotic spindle multipolarity and CIN [6-9]. Importantly, additional MTs can be nucleated from the chromatin (chromatin mediated pathway-CMP) or from pre-existing MTs-through the Augmin pathway. We hypothesized that the increase in DNA and centrosome content in a cell could lead to an increased MT mass, which might account for abnormal mitosis described in polyploid cells [4, 10, 11, 12]. Using genetics, live imaging and modeling approaches, we investigated the mechanisms establishing multipolarity in vivo in polyploid cells. We found that MT nucleation from the centrosomes is the major contributor to multipolarity, while other pathways seem to play minor roles. Unexpectedly, we found that even if Ncd/HSET, plays an essential role in promoting centrosome clustering in early mitosis, the increase in chromosome mass associated with cytokinesis failure functions as a barrier to centrosome clustering into two main poles. Our work provides a mechanistic link between polyploidy and the generation of CIN.

cell biology↗