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Biology subjects

Honigmann, A.

Publications and source records attributed to Honigmann, A..

At least 19 recordsLinked to original sources

Identification of lipid specificity in membrane organizing protein complexes

Organelle membrane identity is encoded by protein and lipid composition1. Human cells produce thousands of distinct lipid species for this purpose2,3. Yet, the precise molecular functions of most lipids remain unknown, owing to limited methods for in situ investigations of individual lipid species. Here, we use minimally modified bifunctional lipid probes to detect and functionally characterize lipid-protein interactions across time and subcellular compartments. We leverage this approach to map time-resolved protein interactomes of individual lipids representing major membrane lipid classes as they are transported through the organelle system of human cells. We identify hundreds of unique lipid-protein interaction candidates, measure lipid-induced protein abundance changes, and distinguish between directly and indirectly interacting subunits of associated protein complexes. Informed by this multimodal dataset, we interrogate the lipid specificity of membrane organizing complexes, in particular the selective co-association of phosphatidylethanolamine with the ancestral subunits of the nuclear pore (NDC1) and MICOS (MIC60) complexes. Using super-resolution microscopy and molecular dynamics simulations, we demonstrate that phosphatidylethanolamine stabilizes both NDC1 and MIC60 in highly curved membrane nanodomains, indicating that major membrane organizing complexes are positioned by selective lipid-protein interactions. Altogether, our experimental strategy provides a blueprint for discovering and characterizing cellular functions of individual lipids.

cell biology↗

Multivalent Tau-Fyn interactions cooperatively arrest postsynaptic density condensate dynamics

Tau-Fyn signaling at postsynaptic sites is implicated in synaptic dysfunction and neuronal hyperexcitability in Alzheimers disease and related tauopathies, yet the molecular mechanisms by which Tau-Fyn interactions influence postsynaptic signaling assemblies remain poorly understood. Here, we reconstitute biomolecular condensates and membrane-associated assemblies that mimic the postsynaptic density (PSD) to investigate how Tau and Fyn regulate PSD organization and dynamics. We show that Tau and Fyn co-partition into PSD condensates and N-methyl D-aspartate receptor subtype 2B (NR2B)-associated PSD clusters, with both proteins preferentially enriching in the condensed phase relative to core PSD scaffold proteins. Enrichment of Fyn within PSD condensates is recapitulated by an SH3-SH2 fragment lacking the kinase domain, indicating that the kinase domain is dispensable for condensate partitioning. Fluorescence recovery after photobleaching reveals that Tau markedly reduces Fyn mobility and, together with Fyn, cooperatively drives a pronounced dynamic arrest of PSD condensate components, including the central scaffold protein PSD-95. Disruption of a major Tau-Fyn interaction hotspot by P216A/P219A mutations in Tau nearly completely restores the mobility of both Fyn and PSD-95, demonstrating that cooperative Tau-Fyn interactions are required for dynamic arrest. NMR spectroscopy identifies a multivalent interaction network between the Tau proline-rich region and the Fyn SH3 domain involving multiple binding motifs, with residues P216 and P219 acting as major interaction determinants. A 1.4 [A] crystal structure of the Fyn SH3 domain bound to a Tau peptide reveals a ternary 2:1 Fyn:Tau assembly, providing structural support for multivalent Tau- Fyn engagement. Together, our findings establish a condensate-based mechanism by which multivalent Tau-Fyn interactions cooperatively regulate PSD condensate dynamics and provide a molecular framework linking Tau-Fyn signaling to synaptic dysfunction in tauopathies.

biochemistry↗

Localized control of protein phase separation via membrane binding

Phase separation of protein-rich condensates is key for the spatial organization of cells. Multivalent proteins can phase separate in the bulk cytoplasm to form 3D condensates or at the membrane surface to form 2D condensates. How cells control 2D versus 3D phase transitions is not well understood. Here, we combine an in vitro model system of membrane surface phase separation with thermodynamic modelling to explore the relation of 2D and 3D phase transitions. We engineered the phase-separating protein FUS to bind to membranes and quantified 2D and 3D phase separation as a function of total FUS concentration and salt concentration. We find that membrane binding induces the formation of 2D surface condensates far below the bulk saturation concentration. In addition to direct FUS-membrane binding, surface condensates sequester more FUS molecules from the bulk via protein-protein interactions, resulting in a substantial deviation from the classical binding isotherm. By changing the protein-protein interaction strength via salt titration, we find that the saturation concentrations for 2D and 3D phase separation are coupled. By extending the classical theory of condensate wetting via membrane binding, we recapitulate the experimental results and show that tuning the membrane-binding strength of a phase-separating protein provides a robust way to control 2D condensation at the membrane over a wide concentration range without entering the 3D condensation regime. Taken together, our results provide a simple framework to understand how cells tune protein interactions and membrane binding to control 2D and 3D phase transitions.

biophysics↗

Cells dynamically adapt their nuclear volumes and proliferation rates during single to multicellular transitions

Tumour development and progression are associated with biophysical alterations that manifest across multiple spatial scales, from the subcellular to multicellular tissue scale. While cells dynamically regulate their biophysical properties like volumes and mechanics in dependence of cell state and function, it is unclear how these properties are controlled in the dense multicellular environment of a developing tumour. Here, we quantified cell and nuclear volumes of single cancer cells, while they grew into multicellular tumour spheroids within well-defined, tuneable biohybrid polymer hydrogels. We quantitatively showed that the formation of multicellular structures is associated with marked reductions of cellular and nuclear volumes, cell cycle delays as well as cell mechanical alterations, and that these changes are coupled. Single-to-multicellular transitions coincided with a drastic decrease in median nuclear volumes by up to 60%, as well as overall cell volume decrease. Nuclear volume decrease could not be explained by compression due to confining microenvironments. Instead, cell cycle adaptions were one significant contributor, with smaller-sized G1 cells accumulating in growing clusters, an effect that was reversed by CDK1 inhibition. Another contributor was nuclear volume decrease in cells within clusters that was associated with higher mass density and stiffness and could be abrogated upon cell release from clusters. In turn, multicellular-to-single cell transitions that happened in cells that invaded from a tumour spheroid into the surrounding matrix, were accompanied by nuclear volume increases and cell softening. Taken together, our study provides insights into how cells dynamically adapt their cellular/nuclear volumes, cell cycle progression and mechanics in dependence of the multicellular state.

biophysics↗

The fibrocystin C-terminal domain inhibits Src/STAT3 signal induced cystogenesis of kidney epithelia.

Autosomal recessive polycystic kidney disease (ARPKD) is caused by impaired function of fibrocystin/polyductin (FPC) in collecting duct epithelia resulting in cyst formation. We hypothesized that the membrane-bound C-terminal FPC domain (FPCct) is necessary to suppress cystogensis and facilitate epithelial homeostasis. In ARPKD, cystic kidney epithelia are characterized by a secretory phenotype associated with high intracellular cAMP levels and enhanced STAT3-dependent transcription. Moreover, impaired FPC function may lead to enhanced activation of Src tyrosine kinase, thereby activating STAT3 signaling and its downstream transcriptional activity. To investigate the effects of FPC loss on the cystic epithelial cell phenotype, we used an established principal-like MDCK cell line (pl-MDCK) and studied monolayers in both two and three-dimensional culture. In this in vitro model of collecting duct epithelia, FPC-deficient cells showed two-fold elevated basal cAMP levels and enhanced apical secretion leading to three-fold higher luminal pressure. Forskolin-stimulated elevation of cAMP levels triggered enhanced Src-dependent activation of STAT3 resulting in a pronounced cystic phenotype. Notably, expression of wildtype FPCct reduced both STAT3-dependent transcription and the secretory phenotype in knockout epithelial cells. Our data suggest that FPCct interacts with Src kinase at the plasma membrane, thereby reducing Src-mediated STAT3 phosphorylation and limiting STAT3-dependent transcription. Thus, FPCct appears to act like a physiological suppressor of cystogenic signaling, as found in healthy kidney epithelia, that is essential for maintaining epithelial homeostasis. Protein constructs that restore FPC C-terminal function may offer a therapeutic lead to mitigate epithelial dysfunction and slow disease progression in ARPKD.

cell biology↗

Condensation of Sidekick at tricellular junctions organizes mechanical forces for cell-cell adhesion remodeling

Epithelial morphogenesis relies on coordinated multicellular movements regulated by adhesion and force-generating molecules. It remains elusive how cells ensure organization of these molecules in space and time. Combining in vitro reconstitution and fly genetics, we demonstrate that condensation of an adhesive transmembrane protein shapes molecular dynamics at tricellular junctions to facilitate cell-cell junction remodeling. Specifically, we identify that the intracellular domain of Sidekick, known to localize to tricellular junctions and recruit mechanical force-generating myosin II, undergoes phase separation into condensates. This condensation controls the physiological localization and concentration of Sidekick on lipid membranes. Altering the molecular dynamics of these condensates disrupts Sidekicks localization against cellular movements, misdirecting myosin II and leading to delayed junction formation. These findings suggest that cells exploit the mechano-resistant properties of tricellular junction-anchored condensates to spatially allocate force-regulating molecules. This study underscores the importance of condensation to organize tricellular junctions for robust multicellular movement.

cell biology↗

Quantification of lipid sorting during clathrin-mediated endocytosis

Clathrin-mediated endocytosis is a major transport route for proteins from the plasma membrane to the interior of the cell. While the recruitment of cargo proteins to clathrin-coated pits is well understood, it remains an open question if lipids are also sorted by this process. To address this question, we combined super-resolution STED imaging of bifunctional lipid probes with mathematical modeling. Quantification of 10 different lipid species revealed significant differences in pit partitioning, ranging from slight enrichment to moderate exclusion. We find that the lipid asymmetry in the plasma membrane is sufficient to explain the observed trend. Taken together, our findings imply that clathrin-mediated endocytosis has a minor selectivity for cytoplasmic leaflet lipids, but overall does not significantly contribute to lipid sorting compared to non-vesicular trafficking. More broadly, we believe that lipid super-resolution imaging will be a powerful approach to quantify lipid partitioning into membrane structures in cells.

cell biology↗

Programmable viscoelastic hydrogels uncover mechano-sensing timescales and direct cell polarity

Mechanical interactions between cells and their three-dimensional environment govern fundamental processes in tissue development and disease. Yet, how cells interrogate and respond to mechanical cues remains incompletely understood. Reproducing the mechanical properties of natural tissues in vitro is a key challenge, as these tissues exhibit complex viscoelastic behaviors and undergo continuous remodeling throughout an organisms development. Here, we leverage principles of dynamic DNA nanotechnology to introduce programmable mechanical cues into a synthetic hydrogel matrix that guides and interrogates the development of embedded cells. By systematically modulating matrix stress relaxation and stiffness, we uncover two distinct timescales of mechano-sensitive processes controlling apical-basal polarity in Madin-Darby Canine Kidney (MDCK) cells: the fast timescale (1-3 min) is linked to rapid integrin-mediated signaling, while the slower process (3-9 h) is associated with cytoskeletal reinforcements. Our analysis highlights that the commonly reported matrix "stiffness" value, often measured as the storage modulus at [~]1 Hz, has limited physiological relevance. These findings prompted us to develop a novel switchable DNA crosslinker that enables dynamic changes in viscoelasticity during ongoing cell culture. This controlled matrix reconfiguration induces reversible cell polarity inversions and guides the morphogenesis of complex multicellular structures. The material platform therefore offers unprecedented control over the mechanical microenvironment, opening new avenues for advanced applications in biophysics, tissue engineering, and disease modeling.

bioengineering↗

Theory of non-dilute binding and surface phase separation applied to membrane-binding proteins

Surface binding and surface phase separation of cytosolic scaffold proteins on lipid membranes are involved in many cellular processes, such as cell signaling, cell adhesion, and cortex regulation. However, the interplay between surface binding and surface phase separation is poorly understood. In this work, we study this interplay by deriving a general thermodynamic model and applying it to in vitro reconstitution experiments of membrane-binding proteins involved in tight junction initiation. Our theory extends the classical surface binding isotherm to account for non-dilute and heterogeneous conditions where components can phase separate. We use our theory to demonstrate how surface phase separation is governed by the interaction strength among membrane-bound scaffold proteins and their binding affinity to the membrane surface. Comparing the theory to reconstitution experiments, we show that tuning the oligomerization state of the adhesion receptors in the membrane controls surface phase transition and patterning of the scaffold protein ZO1. These findings suggest a fundamental role of the interplay between non-dilute surface binding and surface phase separation in forming the tight junction. More broadly, our work highlights non-dilute surface binding and surface phase separation as a common organizational principle for membrane-associated structures in living cells.

biophysics↗

Mechanical Implications of Cellular Viscoelasticity, Cortex Polarity, Superelasticity, and Cell-Cell Junctions in Curved Tissues

Investigations of the response of curved epithelia derived from MDCK-II cells to external deformation involved indentation-relaxation experiments using colloidal probe microscopy. Notably, hemicysts exhibited lower tissue tension, greater compliance, and increased fluidity compared to cysts. The primary response to deformation turned out to be the in-plane expansion of the basal cortex/membrane of cells. Additionally, drug treatments applied to curved tissue, along with deformation of tailored mutants (such as E-cadherin knockout), revealed that tissue compliance over short time scales is influenced by an interplay of viscoelastic properties in individual cells, their apical-basal polarity, superelasticity of the shell, and excess interfacial area. Meanwhile, tissue resilience predominantly depends on the integrity of cell-cell contacts.

biophysics↗

Quantitative imaging of species-specific lipid transport in mammalian cells

Eukaryotic cells produce over 1000 different lipid species which tune organelle membrane properties, control signalling and store energy1,2. How lipid species are selectively sorted between organelles to maintain specific membrane identities is largely unknown due to the difficulty to image lipid transport in cells3. Here, we measured transport and metabolism of individual lipid species in mammalian cells using time-resolved fluorescence imaging of bifunctional lipid probes in combination with ultra-high resolution mass spectrometry and mathematical modelling. Quantification of lipid flux between organelles revealed that directional, non-vesicular lipid transport is responsible for fast, species-selective lipid sorting compared to slow, unspecific vesicular membrane trafficking. Using genetic perturbations, we found that coupling between active lipid flipping and passive non-vesicular transport is a mechanism for directional lipid transport. Comparison of metabolic conversion and transport rates showed that non-vesicular transport dominates the organelle distribution of lipids while species-specific phospholipid metabolism controls neutral lipid accumulation. Our results provide the first quantitative map of retrograde lipid flux in cells4. We anticipate that our pipeline for quantitative mapping of lipid flux through physical and chemical space in cells will boost our understanding of lipids in cell biology and disease.

cell biology↗

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↗

Active fluctuations of cells reduce friction to enable fast and coherent collective migration

Collective cell migration is an emergent phenomenon, with long-range cell-cell communication influenced by various factors, including transmission of forces, viscoelasticity of individual cells, substrate interactions, and mechanotransduction. We investigate how alterations in cell-substrate distance fluctuations, cell-substrate adhesion, and traction forces impact the average velocity and temporal-spatial correlation of confluent monolayers formed either by wild-type MDCKII cells or zonula occludens (ZO) 1/2-depleted MDCKII cells (dKD) representing highly contractile cells. The data indicates that confluent dKD monolayers exhibit decreased average velocity compared to less contractile WT cells concomitant with increased substrate adhesion, reduced traction forces, a more compact shape, diminished cell-cell interactions, and reduced cell-substrate distance fluctuations. Depletion of basal actin and myosin further supports the notion that short-range cell-substrate interactions, particularly fluctuations driven by basal actomyosin, significantly influence the migration speed of the monolayer on a larger length scale.

biophysics↗

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↗

Intra-condensate demixing of TDP-43 inside stress granules generates pathological aggregates

Cytosolic aggregation of the nuclear protein TDP-43 is associated with many neurodegenerative diseases, but the triggers for TDP-43 aggregation are still debated. Here, we demonstrate that TDP-43 aggregation requires a double event. One is up-concentration in stress granules beyond a threshold, and the other is oxidative stress. These two events collectively induce intra-condensate demixing, giving rise to a dynamic TDP-43 enriched phase within stress granules, which subsequently transitions into pathological aggregates. Mechanistically, intra-condensate demixing is triggered by local unfolding of the RRM1 domain for intermolecular disulfide bond formation and by increased hydrophobic patch interactions in the C-terminal domain. By engineering TDP-43 variants resistant to intra-condensate demixing, we successfully eliminate pathological TDP-43 aggregates in cells. We conclude that up-concentration inside condensates and simultaneous exposure to environmental stress could be a general pathway for protein aggregation, with intra-condensate demixing constituting a key intermediate step.

cell biology↗

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↗

Assembly of tight junction belts by surface condensation and actin elongation

Formation of biomolecular condensates via phase separation enables compartmentation of many cellular processes. However, how cells can control condensation at specific locations to create complex cellular structures remains poorly understood. Here, we investigated the mechanism of tight junction formation, which involves condensation of scaffold proteins at cell-cell contacts and elongation of the condensates into a belt around the cellular perimeter. Using cell biology, reconstitution, and thermodynamic theory, we discovered that cells use surface phase transitions to control local condensation at the membrane far below bulk saturation. Surface condensation of junctional ZO-scaffold proteins is mediated by receptor binding and regulated by the receptors oligomerization state. Functionally, ZO surface condensation is directly coupled to actin polymerization and bundling, which drives elongation of receptor-ZO-actin condensates similar to tight junction belt formation in cells. We conclude that surface phase transitions provide a robust mechanism to control the position and shape of protein condensates. One-Sentence SummaryLocal surface binding of cytosolic scaffold proteins provides spatial control of protein condensation to assemble adhesion junctions.

biophysics↗

Tight junctions regulate lumen morphology via hydrostatic pressure and junctional tension

Formation of fluid filled lumen by epithelial tissues is a fundamental process for organ development. How epithelial cells regulate the hydraulic and cortical forces to control lumen morphology is not completely understood. Here, we quantified the mechanical role of tight junctions in lumen formation using genetically modified MDCKII cysts. We found that the paracellular ion barrier formed by claudin receptors is not required for hydraulic inflation of lumen. However, depletion of the zonula occludens scaffold resulted in lumen collapse and folding of apical membranes. Combining quantitative measurements and perturbations of hydrostatic lumen pressure and junctional tension with modelling, we were able to predict lumen morphologies from the pressure-tension force balance. We found that in MDCK tissue the tight junction promotes formation of spherical lumen by decreasing cortical tension via inhibition of myosin. In addition, we found that the apical surface area of cells is largely uncoupled from lumen volume changes, suggesting that excess apical area contributes to lumen opening in the low-pressure regime. Overall, our findings provide a mechanical understanding of how epithelial cells use tight junctions to modulate tissue and lumen shape.

cell biology↗