Mechanism of negative membrane curvature generation by I-BAR domains

Membrane tension sensing formin-binding protein 1 is a neuronal nutrient stress-responsive Golgiphagy receptor

BACKGROUND

Nutrient stress-responsive neuronal homeostasis relies on intricate autophagic mechanisms that modulate various organelle integrity and function. The selective autophagy of the Golgi, known as Golgiphagy, regulates secretory processes by modulating vesicle trafficking during nutrient starvation.

RESULTS

In this study, we explored a genetic screen of BAR-domain-containing proteins to elucidate the role of formin-binding protein 1 (FNBP1) as a Golgiphagy receptor in modulating Golgi dynamics in response to varying nutrient availability in neurons. Mapping the systems network of FNBP1 and its interacting proteins reveals the putative involvement of FNBP1 in autophagy and Golgi-associated processes. While nutrient depletion causes Golgi fragmentation, FNBP1 preferentially localizes to the fragmented Golgi membrane through its 284FEDYTQ289 motif during nutrient stress. Simultaneously, FNBP1 engages in molecular interactions with LC3B through a conserved 131WKQL134 LC3 interacting region, thereby sequestering the fragmented Golgi membrane in neuronal autophagosomes. Increased aggregation of GM130, abnormal clumping of RAB11-positive secretory granules, and enhanced senescent death of FNBP1-depleted starved neurons indicate disruptions of neuronal homeostasis under metabolic stress.

CONCLUSION

The identification of FNBP1 as a nutrient stress-responsive Golgiphagy receptor expands our insights into the molecular mechanisms underlying Golgiphagy, establishing the crosstalk between nutrient sensing and membrane tension-sensing regulatory autophagic processes of Golgi turnover in neurons.

Macronucleophagy maintains cell viability under nitrogen starvation by modulating micronucleophagy

Lysosome/vacuole-mediated intracellular degradation pathways, collectively known as autophagy, play crucial roles in the maintenance and regulation of various cellular functions. However, little is known about the relationship between different modes of autophagy. In the budding yeast Saccharomyces cerevisiae, nitrogen starvation triggers both macronucleophagy and micronucleophagy, in which nuclear components are degraded via macroautophagy and microautophagy, respectively. We previously revealed that Atg39-mediated macronucleophagy is important for cell survival under nitrogen starvation; however, the underlying mechanism remains unknown. Here, we reveal that defective Atg39-mediated macronucleophagy leads to the hyperactivation of micronucleophagy, resulting in the excessive transport of various nuclear components into the vacuole. Micronucleophagy occurs at the nucleus-vacuole junction (NVJ). We show that nuclear membrane proteins localized to the NVJ, including Nvj1, which is responsible for micronucleophagy, are degraded via macronucleophagy. Therefore, defective Atg39-mediated macronucleophagy results in the accumulation of Nvj1, which contributes to micronucleophagy enhancement. Blocking micronucleophagy almost completely suppresses cell death caused by the absence of Atg39, whereas enhanced micronucleophagy correlates with death in Atg39-mutant cells under nitrogen starvation. These results suggest that macronucleophagy modulates micronucleophagy in order to prevent the excess removal of nuclear components, thereby maintaining nuclear and cellular homeostasis during nitrogen starvation.

Drivers of Morphogenesis: Curvature Sensor Self-Assembly at the Membrane

This review examines the relationships between membrane chemistry, curvature-sensing proteins, and cellular morphogenesis. Curvature-sensing proteins are often orders of magnitude smaller than the membrane curvatures they localize to. How are nanometer-scale proteins used to sense micrometer-scale membrane features? Here, we trace the journey of curvature-sensing proteins as they engage with lipid membranes through a combination of electrostatic and hydrophobic interactions. We discuss how curvature sensing hinges on membrane features like lipid charge, packing, and the directionality of membrane curvature. Once bound to the membrane, many curvature sensors undergo self-assembly (i.e., they oligomerize or form higher-order assemblies that are key for initiating and regulating cell shape transformations). Central to these discussions are the micrometer-scale curvature-sensing proteins' septins. By discussing recent literature surrounding septin membrane association, assembly, and their many functions in morphogenesis with support from other well-studied curvature sensors, we aim to synthesize possible mechanisms underlining cell shape sensing.

CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed

Since its inception nearly a half century ago, CHARMM has been playing a central role in computational biochemistry and biophysics. Commensurate with the developments in experimental research and advances in computer hardware, the range of methods and applicability of CHARMM have also grown. This review summarizes major developments that occurred after 2009 when the last review of CHARMM was published. They include the following: new faster simulation engines, accessible user interfaces for convenient workflows, and a vast array of simulation and analysis methods that encompass quantum mechanical, atomistic, and coarse-grained levels, as well as extensive coverage of force fields. In addition to providing the current snapshot of the CHARMM development, this review may serve as a starting point for exploring relevant theories and computational methods for tackling contemporary and emerging problems in biomolecular systems. CHARMM is freely available for academic and nonprofit research at https://academiccharmm.org/program.

The WAVE complex forms linear arrays at negative membrane curvature to instruct lamellipodia formation

Cells generate a wide range of actin-based membrane protrusions for various cell behaviors. These protrusions are organized by different actin nucleation promoting factors. For example, N-WASP controls finger-like filopodia, whereas the WAVE complex controls sheet-like lamellipodia. These different membrane morphologies likely reflect different patterns of nucleator self-organization. N-WASP phase separation has been successfully studied through biochemical reconstitutions, but how the WAVE complex self-organizes to instruct lamellipodia is unknown. Because WAVE complex self-organization has proven refractory to cell-free studies, we leverage in vivo biochemical approaches to investigate WAVE complex organization within its native cellular context. With single molecule tracking and molecular counting, we show that the WAVE complex forms highly regular multilayered linear arrays at the plasma membrane that are reminiscent of a microtubule-like organization. Similar to the organization of microtubule protofilaments in a curved array, membrane curvature is both necessary and sufficient for formation of these WAVE complex linear arrays, though actin polymerization is not. This dependency on negative membrane curvature could explain both the templating of lamellipodia and their emergent behaviors, including barrier avoidance. Our data uncover the key biophysical properties of mesoscale WAVE complex patterning and highlight an integral relationship between NPF self-organization and cell morphogenesis.

Producing highly effective extracellular vesicles using IBAR and talin F3 domain fusion

Extracellular vesicles (EVs), transporting diverse cellular components, play a crucial role in intercellular communication in numerous physiological and pathological processes. EVs have also been recognized as a drug delivery platform for therapeutic purposes and cell-free regenerative medicine. While various approaches have focused on increasing EV production for efficient use therapeutic use of EVs, enhancing the quality of EVs, such as ensuring efficient uptake by their target cells, has not been widely explored. In this study, we linked a negative membrane curvature-forming inverse BAR (IBAR) domain with an integrin β tail-binding talin F3 domain to create the IBAR-F3 fusion protein. We observed that IBAR-F3 can trigger filopodia-like membrane protrusions and attract integrins to those protrusion-rich regions, when expressed in Chinese hamster ovary cells expressing integrin αIIbβ3. Surprisingly, the expression of IBAR-F3 also induced a robust production of EVs, which were then efficiently taken up by nearby cells in an integrin-dependent manner. Moreover, IBAR triggered integrin activation, presumably by inducing negative membrane curvature that likely disrupts the interaction between the integrin α and β transmembrane domain. Therefore, we suggest that IBAR-F3 should be utilized to promote both EV production and efficient uptake mediated by integrins. Furthermore, the negative curvature-inducing integrin activation suggests that integrins on EVs can be activated by the nanoscale change in the curvature of the EV without the need for conventional machinery to activate integrin inside the EVs.

Simulations suggest a scaffolding mechanism of membrane deformation by the caveolin 8S complex

Caveolins form complexes of various sizes that deform membranes into polyhedral shapes. However, the recent structure of the 8S complex was disk-like with a flat membrane-binding surface. How can a flat complex deform membranes into nonplanar structures? Molecular dynamics simulations revealed that the 8S complex rapidly takes the form of a suction cup. Simulations on implicit membrane vesicles determined that binding is stronger when E140 gets protonated. In that case, the complex binds much more strongly to 5- and 10-nm-radius vesicles. A concave membrane-binding surface readily explains the membrane-deforming ability of caveolins by direct scaffolding. We propose that the 8S complex sits at the vertices of the caveolar polyhedra, rather than at the center of the polyhedral faces.

Sensing their plasma membrane curvature allows migrating cells to circumvent obstacles

To navigate through diverse tissues, migrating cells must balance persistent self-propelled motion with adaptive behaviors to circumvent obstacles. We identify a curvature-sensing mechanism underlying obstacle evasion in immune-like cells. Specifically, we propose that actin polymerization at the advancing edge of migrating cells is inhibited by the curvature-sensitive BAR domain protein Snx33 in regions with inward plasma membrane curvature. The genetic perturbation of this machinery reduces the cells' capacity to evade obstructions combined with faster and more persistent cell migration in obstacle-free environments. Our results show how cells can read out their surface topography and utilize actin and plasma membrane biophysics to interpret their environment, allowing them to adaptively decide if they should move ahead or turn away. On the basis of our findings, we propose that the natural diversity of BAR domain proteins may allow cells to tune their curvature sensing machinery to match the shape characteristics in their environment.

A NanoCurvS platform for quantitative and multiplex analysis of curvature-sensing proteins

The cell membrane is characterized by a rich variety of topographical features such as local protrusions or invaginations. Curvature-sensing proteins, including the Bin/Amphiphysin/Rvs (BAR) or epsin N-terminal homology (ENTH) family proteins, sense the bending sharpness and the positive/negative sign of these topographical features to induce subsequent intracellular signaling. A number of assays have been developed to study curvature-sensing properties of proteins in vitro, but it is still challenging to probe low curvature regime with the diameter of curvature from hundreds of nanometers to micrometers. It is particularly difficult to generate negative membrane curvatures with well-defined curvature values in the low curvature regime. In this work, we develop a nanostructure-based curvature sensing (NanoCurvS) platform that enables quantitative and multiplex analysis of curvature-sensitive proteins in the low curvature regime, in both negative and positive directions. We use NanoCurvS to quantitatively measure the sensing range of a negative curvature-sensing protein IRSp53 (an I-BAR protein) and a positive curvature-sensing protein FBP17 (an F-BAR protein). We find that, in cell lysates, the I-BAR domain of IRSp53 is able to sense shallow negative curvatures with the diameter-of-curvature up to 1500 nm, a range much wider than previously expected. NanoCurvS is also used to probe the autoinhibition effect of IRSp53 and the phosphorylation effect of FBP17. Therefore, the NanoCurvS platform provides a robust, multiplex, and easy-to-use tool for quantitative analysis of both positive and negative curvature-sensing proteins.

Membrane Curvature: The Inseparable Companion of Autophagy

Autophagy is a highly conserved recycling process of eukaryotic cells that degrades protein aggregates or damaged organelles with the participation of autophagy-related proteins. Membrane bending is a key step in autophagosome membrane formation and nucleation. A variety of autophagy-related proteins (ATGs) are needed to sense and generate membrane curvature, which then complete the membrane remodeling process. The Atg1 complex, Atg2-Atg18 complex, Vps34 complex, Atg12-Atg5 conjugation system, Atg8-phosphatidylethanolamine conjugation system, and transmembrane protein Atg9 promote the production of autophagosomal membranes directly or indirectly through their specific structures to alter membrane curvature. There are three common mechanisms to explain the change in membrane curvature. For example, the BAR domain of Bif-1 senses and tethers Atg9 vesicles to change the membrane curvature of the isolation membrane (IM), and the Atg9 vesicles are reported as a source of the IM in the autophagy process. The amphiphilic helix of Bif-1 inserts directly into the phospholipid bilayer, causing membrane asymmetry, and thus changing the membrane curvature of the IM. Atg2 forms a pathway for lipid transport from the endoplasmic reticulum to the IM, and this pathway also contributes to the formation of the IM. In this review, we introduce the phenomena and causes of membrane curvature changes in the process of macroautophagy, and the mechanisms of ATGs in membrane curvature and autophagosome membrane formation.

CRY-BARs: Versatile light-gated molecular tools for the remodeling of membrane architectures

BAR (Bin, Amphiphysin and Rvs) protein domains are responsible for the generation of membrane curvature and represent a critical mechanical component of cellular functions. Thus, BAR domains have great potential as components of membrane-remodeling tools for cell biologists. In this work, we describe the design and implementation of a family of versatile light-gated I-BAR (inverse-BAR) domain containing tools derived from the fusion of the A. thaliana Cryptochrome 2 photoreceptor and I-BAR protein domains ('CRY-BARs') with applications in the remodeling of membrane architectures and the control of cellular dynamics. By taking advantage of the intrinsic membrane binding propensity of the I-BAR domain, CRY-BARs can be used for spatial and temporal control of cellular processes that require induction of membrane protrusions. Using cell lines and primary neuron cultures, we demonstrate here that the CRY-BAR optogenetic tool evokes membrane dynamics changes associated with cellular activity. Moreover, we provide evidence that ezrin, an actin and PIP₂ binding protein, acts as a relay between the plasma membrane and the actin cytoskeleton and therefore is an important mediator of switch function. Overall, we propose that CRY-BARs hold promise as a useful addition to the optogenetic toolkit to study membrane remodeling in live cells.