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Enregistrement W4410213503 · doi:10.1242/dev.204890

In preprints: expanded insight into epithelial spreading during zebrafish epiboly

2025· article· en· W4410213503 sur OpenAlexafffund
Ashley E.E. Bruce

Notice bibliographique

RevueDevelopment · 2025
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueZebrafish Biomedical Research Applications
Établissements canadiensUniversity of Toronto
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésBiologyEpibolyZebrafishCell biologyComputational biologyGeneticsGastrulationGeneEmbryogenesis

Résumé

récupéré en direct d'OpenAlex

Epithelial sheets undergo dynamic remodelling while maintaining their structural integrity, a balance that is crucial for processes such as development and wound healing. A relevant and conserved morphogenetic movement during development is epiboly: the thinning and spreading of cell sheets. During zebrafish epiboly, a squamous epithelial monolayer, called the enveloping layer (EVL), stretches to enclose the embryo. The major driving force behind this expansion comes from a circumferential contractile actomyosin band in the yolk syncytial layer (YSL), which is attached to the leading edge of the advancing EVL sheet (Behrndt et al., 2012; Köppen et al., 2006). The zebrafish EVL has been established as an accessible vertebrate model of epithelial morphogenesis, yielding insights into how simple epithelia stretch under tension (Bruce and Heisenberg, 2020).The EVL sheet starts as a cap sitting atop the yolk cell and subsequently more than doubles its surface area as it expands vegetally to enclose the sphere-shaped embryo (Campinho et al., 2013; Keller and Trinkaus, 1987; Marsal et al., 2017). The viscoelastic deformation of the EVL involves apical-basal cell flattening (Xiong et al., 2014), tension-oriented cell divisions (Campinho et al., 2013), and cell rearrangements (Keller and Trinkaus, 1987; Köppen et al., 2006). The mechanisms that determine the viscoelastic material properties of the EVL and how they are spatiotemporally coupled to changes in active force production are the topic of two recent preprints from Naik et al. (2025 preprint) and Minsuk et al. (2025 preprint).The focus in tissue mechanics has largely been on forces generated by the actin cytoskeleton (Charras and Yap, 2018; Rauzi, 2020). Naik and colleagues expand on this by showing a role for keratin intermediate filaments in balancing the structural integrity of the EVL with the need to be deformable (Naik et al., 2025). Keratin intermediate filaments can confer mechanical resilience to epithelial cells and play roles in epithelial differentiation, collective cell migration, and response to tensile forces (Dmello et al., 2019; Latorre et al., 2018; Long et al., 2006; Nahaboo et al., 2022; Ramms et al., 2013). Naik and colleagues showed that several keratin members are primarily expressed in the EVL and YSL. The density of the EVL keratin networks increased concomitantly with EVL spreading, which they reasoned was related to a build-up of tension in the EVL. Consistent with this, manipulating the pulling activity of the YSL affected keratin dynamics in the EVL: increasing YSL myosin activity (and thus EVL tension) accelerated keratin network maturation, while decreasing myosin activity (and EVL tension) slowed it. The findings were corroborated by locally increasing EVL tension using micropipette aspirations, which resulted in keratin accumulation in aspirated EVL cells. Overall, these results indicated that keratin network maturation in the EVL is mechanosensitive.The EVL is a network of interconnected cells, so a challenge is ensuring that cells deform collectively to enable coordinated sheet spreading without tearing. The authors proposed that the mechanosensitive accumulation of keratin networks at sites of high tension may enable the EVL to rapidly enhance its mechanical resilience in response to stronger deforming forces. In agreement with this, Naik and colleagues showed that knocking down several keratin members resulted in reduced viscosity of the EVL and increased EVL rupture towards late epiboly. They further explored how keratin influences the coordination of cell movements using a wound-healing assay. When clusters of EVL cells were laser ablated in control embryos, it triggered elongation of distant cells towards the wound, highlighting the robust ability of the EVL to preserve its barrier integrity through long-range, coordinated cell movements. In contrast, when keratin was knocked down, only cells closely neighbouring the wound site elongated in response, implying a loss of long-range coordination. Since keratins enhance EVL viscosity, they proposed that this allows mechanical forces to be propagated through the tissue, so individual EVL cells deform together. Since EVL cells closest to the YSL should be subject to a stronger pulling force, this mechanical coupling could ensure that EVL cells farther from the leading edge also deform accordingly.Although their main focus was on the role of keratin in the EVL, an interesting finding by Naik and colleagues was that keratin filaments played a role in the YSL. Their in silico model predicted that reduced keratin, and thus reduced resistance to deformation, would result in more rapid EVL advancement, but their experimental results showed that epiboly was instead delayed. Reconciling these findings, they found that keratin was also required in the yolk for aligned actomyosin flows, which are essential for generating the pulling force on the EVL (Behrndt et al., 2012). There seems to be an interplay between keratin and actin in the yolk, as micropipette aspiration revealed that keratin is required for actin to accumulate at sites of local tension in the yolk. This finding is noteworthy as it highlights the involvement of keratin in both the EVL and the yolk, suggesting a broader coordination, not just between cells within a tissue, but also across different tissues.While this study advances our understanding of the role of keratin in epithelial morphogenesis, several questions remain. Although keratin filaments were mostly discussed collectively in this work, distinct keratin members might play specific roles in tissue morphogenesis. Individual keratin types may interact within the network and play non-redundant roles (Mazzalupo et al., 2003; Nanes et al., 2024), so whether different keratin isoforms contribute in a spatially and temporally distinct manner in the EVL would be interesting to address in the future. In addition, the precise molecular interactions between keratins and other cytoskeletal elements, such as actin filaments, need further exploration. There is a well-established functional cross-talk between keratin and actin filaments in epithelia, contributing to mechanical resilience and migration (Kölsch et al., 2009; Pora et al., 2020; Yoon and Leube, 2019). It was shown that keratin networks in the EVL accumulate under increased tension; however, how this accumulation of keratin relates to potential changes in actin within the EVL remains unclear. In terms of their activities, how actin-driven forces in the EVL might be integrated with the structural support role of keratin is an important yet missing piece of the puzzle. One possibility is that this interaction could take place at the level of cell–cell junctions (Outla et al., 2025; Prechova et al., 2022). Addressing these interactions could shed light on the general principles of cytoskeletal coordination in tissue-scale epithelial morphogenesis. Finally, the role of keratin in mechanical resilience was not discussed in the context of cellular rearrangements, which occur in the EVL during epiboly (Campinho et al., 2013; Keller and Trinkaus, 1987; Köppen et al., 2006). This raises the question of how the mechanical resilience provided by keratin filaments in EVL cells is balanced with the need for cells to occasionally break their adhesions to rearrange with neighbouring cells.While Naik and colleagues focused on the role of keratin in reinforcing tissue integrity, the preprint by Minsuk and colleagues highlights the importance of active cellular rearrangements for EVL spreading (Minsuk et al., 2025). Using the simulation framework Tissue Forge (Sego et al., 2023), they constructed an agent-based model in which EVL cells are treated as ‘individual agents’, allowing the model to capture the cellular rearrangements of individual EVL cells in response to being stretched. In their simplified model, EVL cells are represented as centre-based particles with attractive forces (bonds, representing cell adhesion) and repulsive forces (preventing cell overlap) between them. Neighbour exchanges are simulated by the breaking of bonds and formation of new ones, with EVL boundaries not explicitly depicted. Asymmetries in morphogenesis from axial development are also not included; instead, a uniform pulling force from the yolk cell is modelled. Despite these simplifications, their model was able to capture the extensive cell rearrangements that occur in the EVL, with greater rearrangements near the leading edge, consistent with reports in live embryos (Keller and Trinkaus, 1987; Köppen et al., 2006). In addition, straightening of the leading edge emerged spontaneously and robustly in the model without being explicitly programmed. Edge straightening has been observed in live embryos but has not been deeply investigated before.In their simulations, the authors found that imposing a constraint that promotes hexagonal cell packing in the EVL was necessary to prevent sheet tearing under tension, enabling yolk engulfment and closure. Relaxing this constraint increased cellular rearrangement rates at the margin and, interestingly, also increased the rate of EVL leading edge straightening. This relationship suggests that irregular cell packing and faster cell rearrangement near the leading edge produces a more fluid-like tissue, which facilitates straightening. The possibility that leading edge shape could serve as a readout of tissue fluidity could motivate future experiments to measure and manipulate this feature in vivo. Since increased cell rearrangement in embryos would require active remodelling of junctions, these results also raise questions about the cues that initiate this process near the leading edge and how junctional proteins and the cytoskeleton are regulated in response.The authors were also interested in how synchrony of EVL cell spreading arises, another understudied behaviour seen in live embryos. They could enforce synchrony in the model by making the YSL pulling force proportional to the distance of each marginal EVL cell from the vegetal pole, so that lagging cells are pulled more strongly. A regulatory mechanism to synchronise the advancing EVL margin has not previously been postulated. Whether such a synchronisation mechanism exists in live embryos is an open question, and one can speculate about some sort of feedback between EVL cells and the YSL to regulate force distribution and maintain coordinated spreading.The two recent preprints from Naik et al. (2025 preprint) and Minsuk et al. (2025 preprint) provide insights into how the EVL deforms viscoelastically in response to pulling from another tissue, and how the behaviours of individual EVL cells can be coordinated to prevent tearing of the sheet. How the EVL balances its requirements for mechanical resilience with dynamic rearrangement is an area worthy of future investigation and should consider the different tissues involved during epiboly, as well as the different cytoskeletal and junctional components at play.We thank Tony Harris for helpful comments on the manuscript.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,194
Score d'incertitude au seuil0,485

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,289
Écart entre enseignants0,281 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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