Grapin-Botton, A. | bioRxiv Science

bioRxiv2026

Pancreatic progenitor cells respond to laminar shear stress with transcriptomic changes, accompanied by reduced YAP1 activity

The human pancreas secretes digestive fluid that flows through an extensive ductal network before emptying into the duodenum. However, little is known about how hydrodynamic forces influence pancreatic function and development. We hypothesized that pancreatic cells respond to physiological levels of fluid shear stress. In this study, we developed a microfluidic system featuring reversible sealing between the device layer and the cell culture substrate, enabling (1) conventional open-well cell culture prior to fluid shear stress application and (2) selective patterning of proteins and cells for migration studies. Channel dimensions were chosen to support 24-hour perfusion using standard syringe pumps. Using this platform, we investigated effects of physiological shear stress levels representing basal and activated pancreatic function (2, 8 and 33 mPa) on human iPSC-derived pancreatic progenitor cells. Pancreatic progenitor cells exhibit graded sensitivity to shear stress at the transcriptomic level. Specifically, shear stress upregulated expression of cell cycle-related gene sets; endocrine-associated genes including NEUROG3; and Notch receptor ligands (DLL1, DLL3) in a magnitude-dependent manner. The exposure to unidirectional fluid flow also resulted in a reduction in YAP1 protein content, decreased WWTR1 gene expression, and downregulation of YAP/TAZ target genes. Furthermore, barrier-based migration assays under shear stress revealed that cell patches expanded their boundaries both along and against the flow, with greater distance in the direction of flow. Our system and findings may help lay the foundation for understanding biophysical regulation of developmental processes in a physiologically important, yet hard-to-access, epithelial model system.

bioengineering↗

bioRxiv2026

Ciliogenic pancreatopathy reveals a link between ciliopathies and exocrine pancreatic disease

BackgroundWhile pancreatic cysts have been described in syndromic ciliopathies, the pancreas is not commonly recognized as a target organ. However, several ciliary gene knockout mouse models develop a pancreatic phenotype combining acinar atrophy and adipocyte accumulation, hereby called adipopancreatosis, suggesting a link between ciliary dysfunction and pancreatic disease. ObjectiveWe investigated whether mutations in ciliopathy-associated genes are linked to pancreatic dysfunction in humans. DesignWe analyzed a cohort of 341 patients with pediatric-onset pancreatic anomalies and characterized the pancreatic phenotype of new mouse models with conditional Nphp3 inactivation or bearing Nphp3 mutations recapitulating human mutations. In patients, pancreatic fat content was quantified using Dixon-MRI. ResultsMutations in the cilium-related HNF1B and NPHP3 were identified in patients presenting with both renal and pancreatic dysfunction. Nphp3 mutant mice developed acinar atrophy, adipopancreatosis, and moderate inflammation. Adipocytes in the pancreas exhibited a white adipocyte-like profile and likely originated from mesothelial-derived fibroblasts. Reduced numbers and altered length of ductal cilia were monitored. Interestingly, secretory canaliculi, typically unnoticed structures found within and between acinar cells and connected to the acinar lumen, exhibited a microcystic morphology. Consistent with the mouse phenotype, Dixon-MRI revealed significantly increased pancreatic fat content in patients with HNF1B and NPHP3 mutations. ConclusionWe describe a previously unrecognized pancreatic manifestation of ciliopathies, which we name ciliogenic pancreatopathy. Patients with known ciliopathy-causing mutations should be evaluated for this pancreatic condition, particularly those with kidney disease, as concomitant exocrine pancreatic insufficiency may further compromise renal function or the outcome of kidney graft. What is already known on this topicO_LICiliopathies, resulting from defects in primary cilia, are genetic disorders primarily affecting the kidney and liver. C_LIO_LIPancreatic cysts have been sporadically reported in syndromic ciliopathies. C_LIO_LIThe pancreas is not currently recognized as a major target organ of ciliary dysfunction. C_LIO_LIA clear link between ciliary gene mutations and pancreatic anomalies is still unknown. C_LIO_LIAnimal studies have suggested a possible association between ciliary dysfunction and pancreatic anomalies. C_LI What this study addsO_LIIdentifies HNF1B and NPHP3 mutations as genetic causes of a pancreatic phenotype characterized by acinar atrophy and adipose replacement (adipopancreatosis). C_LIO_LIDemonstrates the presence of defective ductal cilia and moderate inflammation in the pancreas of Nphp3 mutant mice. C_LIO_LIReveals that secretory canaliculi in the exocrine pancreas of Nphp3 mutant mice acquire a microcystic morphology. C_LIO_LIShows that patients with HNF1B or NPHP3 mutations have significantly increased pancreatic fat content by Dixon-MRI. C_LIO_LIDefines a new disease entity, ciliogenic pancreatopathy, as a pancreatic manifestation of ciliopathies. C_LI How this study might affect research, practice or policyO_LIEstablishes the pancreas as a novel and clinically relevant target of ciliopathies. C_LIO_LIExpands the phenotypic spectrum of HNF1B- and NPHP3-related diseases to include exocrine pancreatic dysfunction. C_LIO_LISuggests that patients with ciliopathy-causing mutations should be evaluated for exocrine pancreatic insufficiency. C_LIO_LIHighlights the need to consider pancreatic function monitoring in kidney disease and transplant settings. C_LIO_LIOpens new research avenues into the role of primary cilia in pancreatic homeostasis and disease. C_LI

cell biology↗

bioRxiv2025

GEQO biosensors for absolute analyte quantification in single cells

Genetically encoded fluorescent biosensors are widely used to monitor small molecule and ion levels in living cells. Quantitative FRET and FLIM sensors and highly sensitive intensiometric sensors have been developed for many analytes. Notwithstanding notable advances over the last years, a universal high-performance sensor design for absolute quantification that does not require specialized equipment has yet to be developed. We here report the GEQO platform of quantitative biosensors featuring calcium, ATP, cAMP, and organelle-specific variants. We used GEQO sensors to follow calcium and cAMP transients in immortalised cells, human pancreatic progenitor cells, and zebrafish embryos. We show that GEQO-based absolute quantification allows to account for analyte buffering and retains information in time trace data lost during relative quantification. GEQO biosensors will enable quantitative analyte measurements across a wide range of imaging platforms, a key prerequisite for diagnostic applications and quantitative approaches in basic cell biology.

cell biology↗

bioRxiv2024

Control of lumen geometry and topology by cell proliferation rate and pressure

Many internal organs in multicellular organisms comprise epithelia which enclose fluid-filled cavities. These are referred to as lumens and their formation is regulated by a wide range of processes, including epithelial polarization, secretion, exocytosis and actomyosin contractility [1, 2]. While these mechanisms have shed light on lumen growth, what controls lumen morphology remains enigmatic. Here we use pancreas organoids to explore how lumens acquire either a spherical shape or a branched topology [3]. Combining computational simulations based on a phase field model with experimental measurements we reveal that lumen morphology arises from the balance between the cell cycle duration and lumen pressure, with more complex lumen at low pressure and fast proliferation rates. Moreover, the manipulation of proliferation and lumen pressure in silico and in vitro is sufficient to alter and reverse the morphological trajectories of the lumens. Increasing epithelial permeability of spherical lumens lead to lower lumen pressure and converts their morphology to complex lumen shapes, highlighting its crucial role. In summary, the study underscores the importance of balancing cell proliferation, lumen pressure, and epithelial permeability in determining lumen morphology, providing insights relevant to other organs, for tissue engineering and cystic disease understanding and treatment [4].

developmental biology↗

bioRxiv2024

Predicting Organoid Morphology Through a Phase Field Model: Insights into Cell Division and Lumenal Pressure

Organoids are ideal systems to predict the phenotypes of organs. However, there is currently a lack of understanding regarding the generalized rules that enable use of simple cellular principles to make morphological predictions of entire organoids. Therefore, we employed a phase field model with the following basic components: the minimum conditions for the timing and volume of cell division, lumen nucleation rules, and lumenal pressure. Through our model, we could compute and generate a myriad of organoid phenotypes observed till date. We propose morphological indices necessary to characterize the shapes and construct phase diagrams and show their dependencies on proliferation time and lumen pressure. Additionally, we introduced the lumen-index parameter, which helped in examining the criteria to maintain organoids as spherical structures comprising a single layer of cells and enclosing an intact lumen. Finally, we predict a star-like organoid phenotype that did not undergo differentiation, suggesting that the volume constraint during cell division may determine the final phenotype. In summary, our approach provides researchers with guidelines to test the mechanisms of self-organization and predict the shape of organoid. Author summaryIn nature, a wide variety of organ morphologies are observed. Owing to the complexity of the process underlying the acquisition of organs morphology, it is challenging to investigate the mechanisms that lead to such variations. A promising approach to study these variations is the use of "computational organoid" study, which is the computational-based study of self-organizing shapes in multicellular assemblies and fluid-filled cavities called lumens that develop from a few proliferating cells. This study explores general mechanisms that dictate how various mechanical factors affect the growing self-organized multicellular assembly. We relied on computer simulations of the mathematical model called multicellular phase-field model with lumens and explored the mechanical factor effects, such as the lumen pressure while considering the time and volume conditions required for cell division. These simulations generated and categorized a wide range of organoid phenotypes based on the varying lumen pressure and cell division conditions. These phenotypes were characterized into seven distinct classes, based on the morphological index sets, including a cellular monolayer/multilayer surrounding single or multiple lumens and branch formation. These phenotypes were obtained without the assumption of differentiation. Our study elucidates the mechanisms underlying the organoid and organ formation with different shapes, thereby highlighting the significance of mechanical forces in shaping these complex biological structures.

cell biology↗

bioRxiv2024

Generic rules of lumen nucleation and fusion in epithelial organoids

Many internal organs in the body harbor a fluid-filled lumen. The mechanisms of lumens initiation and fusion have been reported as dependent on organ-type during organogenesis. In contrast, the physics of lumen suggests that force balance between luminal pressure and cell mechanics could lead to conserved rules which may unify their self-organisation. However, this hypothesis lacks experimental evidence. Here we compare lumen dynamics for three different systems (MDCK cysts, pancreatic spheres, and epiblast cysts) by using quantitative cell biology, microfabrication and theory. We report that initial cell number determines the maximum number of lumens but does not impact the steady state which is a final single lumen. In addition, lumen numbers exhibit two phases over time, a nucleation phase followed by a fusion phase. In the nucleation phase, lumens form between two cells in pancreatic and MDCK cysts whereas they form at the rosette stage between ten cells in epiblasts. In the second phase, lumens fuse by an increase in lumen volume for pancreatic spheres and MDCK cysts, whereas cell convergent directional motion leads to lumens fusion in epiblasts. We show that these phenomena are associated to the luminal hydrostatic pressure. We support these results with theoretical arguments and numerical simulations. We finally use MDCK cysts to manipulate cell adhesion and lumen volume and we successfully reproduce the fusion dynamics of pancreatic spheres and epiblasts. Our results reveal self-organisation rules of lumens across systems with relevance for morphogenesis during development and for the design of synthetic organs.

biophysics↗

bioRxiv2023

The interplay between lumen pressure and cell proliferation determines organoid morphology in a multicellular phase field model

Organoids are ideal systems to predict the phenotypes of organs. However, there is currently a lack of understanding regarding the generalized rules that enable use of simple cellular principles to make morphological predictions of entire organoids. Therefore, we employed a phase field model with the following basic components: the minimum conditions for the timing and volume of cell division, lumen nucleation rules, and lumenal pressure. Through our model, we could compute and generate a myriad of organoid phenotypes observed till date. We propose morphological indices necessary to characterize the shapes and construct phase diagrams and show their dependencies on proliferation time and lumen pressure. Additionally, we introduced the lumen-index parameter, which helped in examining the criteria to maintain organoids as spherical structures comprising a single layer of cells and enclosing an intact lumen. Finally, we predict a star-like organoid phenotype that did not undergo differentiation, suggesting that the volume constraint during cell division may determine the final phenotype. In summary, our approach provides researchers with guidelines to test the mechanisms of self-organization and predict the shape of organoid. Author summaryIn nature, a wide variety of organ morphologies are observed. Owing to the complexity of the process underlying the acquisition of organs morphology, it is challenging to investigate the mechanisms that lead to such variations. A promising approach to study these variations is the use of "computational organoid" study, which is the computational-based study of self-organizing shapes in multicellular assemblies and fluid-filled cavities called lumens that develop from a few proliferating cells. This study explores general mechanisms that dictate how various mechanical factors affect the growing self-organized multicellular assembly. We relied on computer simulations of the mathematical model called multicellular phase-field model with lumens and explored the mechanical factor effects, such as the lumen pressure while considering the time and volume conditions required for cell division. These simulations generated and categorized a wide range of organoid phenotypes based on the varying lumen pressure and cell division conditions. These phenotypes were characterized into seven distinct classes, based on the morphological index sets, including a cellular monolayer/multilayer surrounding single or multiple lumens and branch formation. These phenotypes were obtained without the assumption of differentiation. Our study elucidates the mechanisms underlying the organoid and organ formation with different shapes, thereby highlighting the significance of mechanical forces in shaping these complex biological structures.

systems biology↗

bioRxiv2022

Emergent chirality in active solid rotation of pancreas spheres

Collective cell dynamics play a crucial role in many developmental and physiological contexts. While two-dimensional (2D) cell migration has been widely studied, how three-dimensional (3D) geometry and topology interplay with collective cell behavior to determine dynamics and functions remains an open question. In this work, we elucidate the biophysical mechanism underlying rotation in spherical tissues, a phenomenon widely reported both in vivo and in vitro. Using murine pancreas-derived organoids as a model system, we find that epithelial spheres exhibit persistent rotation, rotational axis drift and rotation arrest. Using a 3D vertex model, we demonstrate how the interplay between traction force and polarity alignment can account for these distinct rotational dynamics. Furthermore, our analysis shows that the spherical tissue rotates as an active solid and exhibits spontaneous chiral symmetry breaking. Using a continuum model, we demonstrate how the types and location of topological defects in the polarity field underlie this symmetry breaking process. Altogether, our work shows that tissue chirality can arise via topological defects in the pattern of cell traction forces, with potential implications for left-right symmetry breaking processes in morphogenetic events.

biophysics↗

bioRxiv2021

A combined transcriptional and dynamic roadmap of single human pancreatic endocrine progenitors reveals proliferative capacity and differentiation continuum

Basic helix-loop-helix genes, particularly proneural genes, are well-described triggers of cell differentiation, yet limited information exists on their dynamics, notably in human development. Here, we focus on Neurogenin 3 (NEUROG3), which is crucial for pancreatic endocrine lineage initiation. Using a double reporter to monitor endogenous NEUROG3 transcription and protein expression in single cells in 2D and 3D models of human pancreas development, we show peaks of expression for the RNA and protein at 22 and 11 hours respectively, approximately two-fold slower than in mice, and remarkable heterogeneity in peak expression levels all triggering differentiation. We also reveal that some human endocrine progenitors proliferate once, mainly at the onset of differentiation, rather than forming a subpopulation with sustained proliferation. Using reporter index-sorted single-cell RNA-seq data, we statistically map transcriptome to dynamic behaviors of cells in live imaging and uncover transcriptional states associated with variations in motility as NEUROG3 levels change, a method applicable to other contexts.

developmental biology↗

bioRxiv2019

Apical restriction of the planar cell polarity component VANGL in pancreatic ducts is required to maintain epithelial integrity

Cell polarity is essential for the architecture and function of numerous epithelial tissues. Here we show how planar cell polarity (PCP), so far studied principally in flat epithelia, is deployed during the morphogenesis of a tubular organ. Using the mammalian pancreas as a model, we report that components of the core PCP pathway such as the transmembrane protein Van Gogh-like (VANGL), are progressively apically-restricted. VANGL expression becomes asymmetrically localized at the apical surface of ductal cells, revealing a planar polarization of the pancreatic duct. We further show that restricting VANGL to these discrete sites of expression is crucial for epithelial integrity. Expansion of expression on basolateral membranes of the progenitors leads to their death and extrusion from the epithelium, as previously observed for perturbations of apico-basal polarity. Using organoids and in vivo analyses, we show that cell elimination is induced by a decrease of Rock activity via Dishevelled.

developmental biology↗

bioRxiv2018

Notch Controls Multiple Pancreatic Cell Fate Regulators Through Direct Hes1-mediated Repression

Notch signaling and its effector Hes1 regulate multiple cell fate choices in the developing pancreas, but few direct target genes are known. Here we use transcriptome analyses combined with chromatin immunoprecipitation with next-generation sequencing (ChIP-seq) to identify direct target genes of Hes1. ChIP-seq analysis of endogenous Hes1 in 266-6 cells, a model of multipotent pancreatic progenitor cells, revealed high-confidence peaks associated with 354 genes. Among these were genes important for tip/trunk segregation such as Ptf1a and Nkx6-1, genes involved in endocrine differentiation such as Insm1 and Dll4, and genes encoding non-pancreatic basic-Helic-Loop-Helix (bHLH) factors such as Neurog2 and Ascl1. Surprisingly, we find that Hes1 binds a large number of loci previously reported to bind Ptf1a, including a site downstream of the Nkx6-1 gene. Notably, we find a number of Hes1 bound genes that are upregulated by {gamma}-secretase inhibition in pancreas explants independently of Neurog3 function, including the tip progenitor/acinar genes; Ptf1a, Gata4, Bhlha15, and Gfi1. Together, our data suggest that Notch signaling suppress the tip cell fate by Hes1-mediated repression of the tip-specific gene regulatory network module that includes transcriptional regulators such as Ptf1a, Gata4, Mist1, and Gfi1. Our data also uncover new molecular targets of Notch signaling that may be important for controlling cell fate choices in pancreas development.

developmental biology↗