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Koslover, E. F.

Publications and source records attributed to Koslover, E. F..

12 recordsLinked to original sources

Asymmetric mitochondrial trafficking maintains network morphology by balancing perinuclear biogenesis

In functionally polarized cells, mitochondria can form distinct subpopulations, positioned at sites of varying metabolic and energetic demands. Thus far, the potential presence of such subpopulations and implications of their intracellular trafficking in immobile and proliferative cells remains largely undescribed, despite such cells serving as key models. Here, we use substrate micropatterning to create reproducible morphologies of cultured immortalized cells, enabling us to define mitochondrial subpopulations and follow their trafficking by photoactivation. We discovered that mitochondrial material is dispersed asymmetrically throughout the cell via biased anterograde transport from the perinuclear area. Combining quantitative analysis and in silico modeling, we characterize the causes and consequences of unbalanced mitochondrial trafficking. Our findings indicate that this bias is required to distribute new material resulting from perinuclear mitochondrial biosynthesis to sustain mitochondrial mass distribution across the cell, and to maintain normal network connectivity.

cell biology↗

The Endoplasmic Reticulum as an Active Liquid Network

The peripheral endoplasmic reticulum (ER) forms a dense, interconnected, and constantly evolving network of membrane-bound tubules in eukaryotic cells. While individual structural elements and the morphogens that stabilize them have been described, a quantitative understanding of the dynamic large-scale network topology remains elusive. We develop a physical model of the ER as an active liquid network, governed by a balance of tension-driven shrinking and new tubule growth. This minimalist model gives rise to steady-state network structures with density and rearrangement timescales predicted from the junction mobility and tubule spawning rate. Several parameter-independent geometric features of the liquid network model are shown to be representative of ER architecture in live mammalian cells. The liquid network model connects the time-scales of distinct dynamic features such as ring closure and new tubule growth in the ER. Furthermore, it demonstrates how the steady-state network morphology on a cellular scale arises from the balance of microscopic dynamic rearrangements. SIGNIFICANCEThe peripheral endoplasmic reticulum (ER) forms a continuous, dynamic network of tubules that plays an important role in protein sorting, export, and quality control, as well as cellular signaling and stress response. Elucidating how the unique morphology of the ER arises and supports its function is critical to developing a mechanistic understanding of the many neurological diseases associated with ER structural perturbations. We develop a physical model of the ER as an active liquid network to understand how its cellular-scale structure emerges from small-scale dynamic rearrangements. The model demon-strates how key features of ER architecture can arise from a balance of tubule growth and tension-driven sliding. This work provides insight into the fundamental physical mechanisms underlying the emergent morphology of the ER.

biophysics↗

Spatiotemporal Modeling of Mitochondrial Network Architecture

In many cell types, mitochondria undergo extensive fusion and fission to form dynamic, responsive network structures that contribute to a number of homeostatic, metabolic, and signaling functions. The relationship between the dynamic interactions of individual mitochondrial units and the cell-scale network architecture remains an open area of study. In this work, we use coarse-grained simulations and approximate analytic models to establish how the network morphology is governed by local mechanical and kinetic parameters. The transition between fragmented structures and extensive networks is controlled by local fusion-to-fission ratios, network density, and geometric constraints. Similar fusion rate constants are found to account for the very different structures formed by mammalian networks (poised at the percolation transition) and well-connected budding yeast networks. Over a broad parameter range, the simulated network structures can be described by effective mean-field association constants that exhibit a non-linear dependence on the microscopic non-equilibrium fusion, fission, and transport rates. Intermediate fusion rates are shown to result in the highest rates of network remodeling, with mammalian mitochondrial networks situated in a regime of high turnover. Our modeling framework helps to elucidate how local parameters that govern mitochondrial interactions give rise to spatially resolved dynamic network structures at the cellular scale.

biophysics↗

Luminal transport rates through intact endoplasmic reticulum limit the magnitude of localized Ca2+ signals

The endoplasmic reticulum (ER) forms an interconnected network of tubules stretching throughout the cell. Understanding how ER functionality relies on its structural organization is crucial for elucidating cellular vulnerability to ER perturbations, which have been implicated in several neuronal pathologies. One of the key functions of the ER is enabling Ca2+ signalling by storing large quantities of this ion and releasing it into the cytoplasm in a spatiotemporally controlled manner. Through a combination of physical modeling and livecell imaging, we demonstrate that alterations in ER shape significantly impact its ability to support efficient local Ca2+ releases, due to hindered transport of luminal content within the ER. Our model reveals that rapid Ca2+ release necessitates mobile luminal buffer proteins with moderate binding strength, moving through a well-connected network of ER tubules. These findings provide insight into the functional advantages of normal ER architecture, emphasizing its importance as a kinetically efficient intracellular Ca2+ delivery system. Significance StatementThe peripheral endoplasmic reticulum forms a continuous network of tubules extending through the entire cell. One of the key functional roles of the ER is the release of Ca2+ ions into the cytosol to support a broad diversity of intracellular signaling processes. Such release events are enabled by the high Ca2+ storage capacity of the ER. This work demonstrates that mobile Ca2+binding buffer proteins and a well-connected lattice-like architecture of the ER network are optimal to supply local Ca2+ signals and that changes in ER structure can modulate Ca2+ release. By linking transport kinetics to Ca2+ release, we demonstrate a key functional role for the interconnected network architecture of the ER.

cell biology↗

Dendrite architecture determines mitochondrial distribution patterns in vivo

Mitochondria are critical for neuronal function and must be reliably distributed through complex neuronal architectures. By quantifying in vivo mitochondrial transport and localization patterns in the dendrites of Drosophila visual system neurons, we show that mitochondria make up a dynamic system at steady-state, with significant transport of individual mitochondria within a stable global pattern. Mitochondrial motility patterns are unaffected by visual input, suggesting that neuronal activity does not directly regulate mitochondrial localization in vivo. Instead, we present a mathematical model in which four simple scaling rules enable the robust self-organization of the mitochondrial population. Experimental measurements of dendrite morphology validate key model predictions: to maintain equitable distribution of mitochondria across asymmetrically branched subtrees, dendritic branch points obey a parent-daughter power law that preserves cross-sectional area, and thicker trunks support proportionally bushier subtrees. Altogether, we propose that "housekeeping" requirements, including the need to maintain steady-state mitochondrial distributions, impose constraints on neuronal architecture.

cell biology↗

Spatiotemporal analysis of axonal autophagosome-lysosome dynamics reveals limited fusion events trigger two-step maturation

Macroautophagy is a homeostatic process required to clear cellular waste including aggregated proteins and dysfunctional organelles. Neuronal autophagosomes form constitutively in the distal tip of the axon and are actively transported toward the soma, with cargo degradation initiated en route. Cargo turnover requires autophagosomes to fuse with lysosomes to acquire degradative enzymes; however, the timing and number of these fusion events in the axon have proven difficult to detect using microscopy alone. Here we use a quantitative model, parameterized and validated using data from live and fixed imaging of primary hippocampal neurons, to explore the autophagosome maturation process on a cellular scale. We demonstrate that retrograde autophagosome motility is independent from lysosomal fusion, and that most autophagosomes fuse with only a few lysosomes by the time they reach the soma. Furthermore, our imaging and model results highlight the two-step maturation of the autophagosome: fusion with a lysosome or late endosome is followed by the slow degradation of the autophagosomal inner membrane before actual cargo degradation can occur. Together, rigorous quantitative measurements and mathematical modeling elucidate the dynamics of autophagosome-lysosome interaction and autophagosomal maturation in the axon.

cell biology↗

Mitochondrial mRNA localization is governed by translation kinetics and spatial transport

For many nuclear-encoded mitochondrial genes, mRNA localizes to the mitochondrial surface co-translationally, aided by the association of a mitochondrial targeting sequence (MTS) on the nascent peptide with the mitochondrial import complex. For a subset of these co-translationally localized mRNAs, their localization is dependent on the metabolic state of the cell, while others are constitutively localized. To explore the differences between these two mRNA types we developed a stochastic, quantitative model for MTS-mediated mRNA localization to mitochondria in yeast cells. This model includes translation, applying gene-specific kinetics derived from experimental data; and diffusion in the cytosol. Even though both mRNA types are co-translationally localized we found that the steady state number, or density, of ribosomes along an mRNA was insufficient to differentiate the two mRNA types. Instead, conditionally-localized mRNAs have faster translation kinetics which modulate localization in combination with changes to diffusive search kinetics across metabolic states. Our model also suggests that the MTS requires a maturation time to become competent to bind mitochondria. Our work indicates that yeast cells can regulate mRNA localization to mitochondria by controlling mitochondrial volume fraction (influencing diffusive search times) and gene translation kinetics (adjusting mRNA binding competence) without the need for mRNA-specifc binding proteins. These results shed light on both global and gene-specific mechanisms that enable cells to alter mRNA localization in response to changing metabolic conditions.

biophysics↗

Optimizing Mitochondrial Maintenance in Extended Neuronal Projections

Neurons rely on localized mitochondria to fulfill spatially heterogeneous metabolic demands. Mitochondrial aging occurs on timescales shorter than the neuronal lifespan, necessitating transport of fresh material from the soma. Maintaining an optimal distribution of healthy mitochondria requires an interplay between a stationary pool localized to sites of high metabolic demand and a motile pool capable of delivering new material. Interchange between these pools can occur via transient fusion / fission events or by halting and restarting entire mitochondria. Our quantitative model of neuronal mitostasis identifies key parameters that govern steady-state mitochondrial health at discrete locations. Very infrequent exchange between stationary and motile pools optimizes this system. Exchange via transient fusion allows for robust maintenance, which can be further improved by selective recycling through mitophagy. These results provide a framework for quantifying how perturbations in organelle transport and interactions affect mitochondrial homeostasis in neurons, a key aspect underlying many neurodegenerative disorders. Author summaryNeurons contain long projections termed axons and dendrites and a small central body that is responsible for much of cellular biosynthesis. Mitochondria, the energy hubs of a cell, are synthesized in the soma and actively transported to distant sites of high energy demand. Given the extreme distances between these sites and the soma, maintaining distal mitochondrial health poses a substantial challenge. Defects in mitochondrial transport and maintenance are associated with several neurological disorders. Fortunately, mitochondria stationed at distant sites can be serviced by passing mitochondria that emerge from the soma and move around the neuron, as well as through low levels of local protein synthesis. We develop mathematical models for two strategies of mitochondrial maintenance: one with direct protein exchange between moving and stationary mitochondria ( Space Station) and the other with moving mitchondria occasionally replacing stationary ones at the demand sites ( Changing of the Guard). We find that only a few servicing events and a small motile pool form optimal conditions for maintaining mitochondrial health. The system can be improved further by selectively removing and recycling some unhealthy mitochondria. Our results are consistent with observations of mitochondrial behavior in neurons and form a basis for future quantitative study of mitochondrial maintenance.

biophysics↗

Hitching a Ride: Mechanics of Organelle Transport Through Linker-Mediated Hitchhiking

In contrast to the canonical picture of transport by direct attachment to motor proteins, recent evidence shows that a number of intracellular cargos navigate the cytoplasm by hitchhiking on motor-driven carrier organelles. We describe a quantitative model of intracellular cargo transport via hitchhiking, examining the efficiency of hitchhiking initiation as a function of geometric and mechanical parameters. We focus specifically on the parameter regime relevant to the hitchhiking motion of peroxisome organelles in fungal hyphae. Our work predicts the dependence of transport initiation rates on the distribution of cytoskeletal tracks and carrier organelles, as well as the number, length and flexibility of the linker proteins that mediate contact between the carrier and the hitchhiking cargo. Furthermore, we demonstrate that attaching organelles to microtubules can result in a substantial enhancement of the hitchhiking initiation rate in tubular geometries such as those found in fungal hyphae. This enhancement is expected to increase the overall transport rate of hitchhiking organelles, and lead to greater efficiency in organelle dispersion. Our results leverage a quantitative physical model to highlight the importance of organelle encounter dynamics in non-canonical intracellular transport.\n\nSIGNIFICANCEA variety of cellular components are transported via hitchhiking by attaching to other motile organelles. Defects in the molecular machinery responsible for organelle hitchhiking may be linked with neurodegenerative disorders. To date, no comprehensive physical models of this non-canonical mode of transport have been developed. In particular, the connection between molecular- and organelle-scale properties of hitchhiking components and their effect on cellular-scale transport has remained unclear. Here, we investigate the mechanics of hitchhiking initiation and explore organelle interactions that can modulate the efficiency of this process.

biophysics↗

High-resolution and high-accuracy topographic and transcriptional maps of the nucleosome barrier

Nucleosomes represent mechanical and energetic barriers that RNA Polymerase II (Pol II) must overcome during transcription. A high-resolution description of the barrier topography, its modulation by epigenetic modifications, and their effects on Pol II nucleosome crossing dynamics, is still missing. Here, we obtain topographic and transcriptional (Pol II residence time) maps of canonical, H2A.Z, and monoubiquitinated H2B (uH2B) nucleosomes at near base-pair resolution and accuracy. Pol II crossing dynamics are complex, displaying pauses at specific loci, backtracking, and nucleosome hopping between wrapped states. While H2A.Z widens the barrier, uH2B heightens it, and both modifications greatly lengthen Pol II crossing time. Using the dwell times of Pol II at each nucleosomal position we extract the energetics of the barrier. The orthogonal barrier modifications of H2A.Z and uH2B, and their effects on Pol II dynamics rationalize their observed enrichment in +1 nucleosomes and suggest a mechanism for selective control of gene expression.\n\nHighlightsO_LIA single-molecule unzipping assay mimics DNA unwinding by Pol II and maps the topography of human canonical, H2A.Z and uH2B nucleosome barriers at high resolution\nC_LIO_LIReal-time dynamics and full molecular trajectories of Pol II crossing the nucleosomal barrier reveal the transcriptional landscape of the barrier at high accuracy\nC_LIO_LIH2A.Z enhances the width and uH2B the height of the barrier\nC_LIO_LIA unified mechanical model links position-dependent dwell times of Pol II on the nucleosome with energetics of the barrier\nC_LI

biophysics↗

Spatial Control of Neuronal Metabolism Through Glucose-Mediated Mitochondrial Transport Regulation

Eukaryotic cells modulate their metabolism by organizing metabolic components in response to varying nutrient availability and energy demands. In the axons of mammalian neurons, mitochondria have been shown to respond to glucose levels by halting active transport preferentially in high glucose regions. Here, we employ quantitative modeling to explore the physical limits on spatial organization of organelles through such regulated stopping of processive motion, as well as the consequences to cellular metabolism. We delineate the role of key parameters, including cellular glucose uptake and consumption rates, that are expected to modulate mitochondrial distribution and metabolic response in spatially varying glucose conditions. Our quantitative estimates indicate that physiological brain glucose levels fall within the limited range necessary for metabolic enhancement, making this a plausible regulatory mechanism for neuronal metabolic flexibility in the presence of spatially heterogeneous glucose. These findings highlight the role of spatial organization in the regulation of neuronal metabolism, while providing a quantitative framework for the establishment of such organization by control of organelle trafficking.

biophysics↗

Listeria monocytogenes cell-to-cell spread in epithelia is heterogeneous and dominated by rare pioneer bacteria

L. monocytogenes hijacks host actin to promote its intracellular motility and intercellular spread. While L. monocytogenes virulence hinges on cell-to-cell spread, little is known about the dynamics of bacterial spread in epithelia at a population level. Here, we use live microscopy and statistical modeling to demonstrate that L. monocytogenes cell-to-cell spread proceeds anisotropically in an epithelial monolayer in culture. We show that boundaries of infection foci are irregular and dominated by rare pioneer bacteria that spread farther than the rest. We extend our quantitative model for bacterial spread to show that heterogeneous spreading behavior can improve the chances of creating a persistent L. monocytogenes infection in an actively extruding epithelium. Thus, our results indicate that L. monocytogenes cell-to-cell spread is heterogeneous, and that rare pioneer bacteria determine the frontier of infection foci and may promote bacterial infection persistence in dynamic epithelia.

microbiology↗