Biology subjects

Swulius, M. T.

Publications and source records attributed to Swulius, M. T..

10 recordsLinked to original sources

bioRxiv2025

In situ architecture of the endosymbiont Wolbachia pipientis

Hidden within host cells, the endosymbiont Wolbachia pipientis is the most prevalent bacterial infection in the animal kingdom. Scientific breakthroughs over the past century yielded fundamental mechanisms by which Wolbachia controls arthropod reproduction to shape dynamic ecological and evolutionary trajectories. However, the structure and spatial organization of symbiont machineries that underpin intracellular colonization and orchestrate maternal inheritance remain unknown. Here, we used cryo-electron tomography to directly image the nanoscale architecture of bacterial tools deployed for host manipulation and germline transmission. We discovered that Wolbachia assembles multiple structures at the host-endosymbiont interface including a filamentous ladder-like framework hypothesized to serve as a specialized motility mechanism that enables bacterial translocation to specific host cell compartments during embryogenesis and somatic tissue dissemination. In addition, we present the first in situ structure of the Rickettsiales vir homolog type IV secretion system (rvh T4SS). We provide evidence that the rvh T4SS nanomachine exhibits architectural similarities to the pED208-encoded T4SS apparatus including the biogenesis of rigid conjugative pili extending hundreds of nanometers beyond the bacterial cell surface. Coupled with integrative structural modeling, we demonstrate that in contrast to canonical T4SS architectures, the -proteobacterial T4SS outer membrane complex assembles a periplasmic baseplate structure predicted to comprise VirB9 oligomers complexed with cognate VirB10 subunits that form extended antennae projections surrounding the translocation channel pore. Collectively, these studies provide an unprecedented view into Wolbachia structural cell biology and unveil the molecular blueprints for architectural paradigms that reinforce ancient host-microbe symbioses.

microbiology↗

bioRxiv2025

Training Generalized Segmentation Networks with Real and Synthetic Cryo-ET data.

Deep learning excels at segmenting objects within noisy cryo-electron tomograms, but the approach is typically bottlenecked by access to ground truth training data. To address this issue we have developed CryoTomoSim (CTS), an open-source software package that builds coarse-grained models of macromolecular complexes embedded in vitreous ice and then simulates transmitted electron tilt series for tomographic reconstruction. Using CTS outputs, we demonstrate the effects of key microscope parameters (dose, defocus, and pixel size) on deep learning-based segmentation, and show that including both molecular crowding and diversity within synthetic datasets is key to training cellular segmentation networks from purely synthetic inputs. While very effective as initial models, the accuracy of these networks is currently limited, and real cellular data is necessary to train the most accurate and generalizable U-Nets. Using a co-training approach, we first segment over 100 tomograms from neuronal growth cones to quantify their cytoskeletal distributions and then we build a generalized cellular cryo-ET segmentation network called NeuralSeg that can segment a subset of cellular features in tomograms from all domains of life.

cell biology↗

bioRxiv2025

Compromised 2-start zigzag chromatin folding in immature mouse retina cells driven by irregularly spaced nucleosomes with short DNA linkers.

The formation of condensed heterochromatin is critical for establishing cell-specific transcriptional programs. To reveal structural transitions underlying heterochromatin formation in maturing mouse rod photoreceptors, we apply cryo-EM tomography, AI-assisted deep denoising, and molecular modeling. We find that chromatin isolated from immature retina cells contains many closely apposed nucleosomes with extremely short or absent nucleosome linkers, which are inconsistent with the typical two-start zigzag chromatin folding. In mature retina cells, the fraction of short-linker nucleosomes is much lower, supporting stronger chromatin compaction. By Cryo-EM-assisted nucleosome interaction capture we observe that chromatin in immature retina is enriched with i{+/-}1 interactions while chromatin in mature retina contains predominantly i{+/-}2 interactions typical of the two-start zigzag. By mesoscale modeling and computational simulation, we clarify that the unusually short linkers typical of immature retina are sufficient to inhibit the two-start zigzag and chromatin compaction by the interference of very short linkers with linker DNA stems. We propose that this short linker composition renders nucleosome arrays more open in immature retina and that, as the linker DNA length increases in mature retina, chromatin fibers become globally condensed via tight zigzag folding. This mechanism may be broadly utilized to introduce higher chromatin folding entropy for epigenomic plasticity.

molecular biology↗

bioRxiv2023

Rapid Synthesis of Cryo-ET Data for Training Deep Learning Models

Deep learning excels at cryo-tomographic image restoration and segmentation tasks but is hindered by a lack of training data. Here we introduce cryo-TomoSim (CTS), a MATLAB-based software package that builds coarse-grained models of macromolecular complexes embedded in vitreous ice and then simulates transmitted electron tilt series for tomographic reconstruction. We then demonstrate the effectiveness of these simulated datasets in training different deep learning models for use on real cryotomographic reconstructions. Computer-generated ground truth datasets provide the means for training models with voxel-level precision, allowing for unprecedented denoising and precise molecular segmentation of datasets. By modeling phenomena such as a three-dimensional contrast transfer function, probabilistic detection events, and radiation-induced damage, the simulated cryo-electron tomograms can cover a large range of imaging content and conditions to optimize training sets. When paired with small amounts of training data from real tomograms, networks become incredibly accurate at segmenting in situ macromolecular assemblies across a wide range of biological contexts. SummaryBy pairing rapidly synthesized Cryo-ET data with computed ground truths, deep learning models can be trained to accurately restore and segment real tomograms of biological structures both in vitro and in situ.

cell biology↗

bioRxiv2022

Cryo-electron tomography reveals the multiplex anatomy of condensed native chromatin and its unfolding by histone citrullination

Nucleosome chains fold and self-associate to form higher order structures whose internal organization is unknown. Here, cryo-electron tomography (cryo-ET) of native human chromatin reveals novel folding motifs such as 1) non-uniform nucleosome stacking, 2) intermittent parallel and perpendicular orientations of adjacent nucleosome planes, and 3) an inverse zigzag nucleosome chain path, which deviates from the direct zigzag topology seen in reconstituted nucleosomal arrays. By examining these self-associated structures, we observed prominent nucleosome stacking in-cis and anti-parallel nucleosome interactions in-trans, which are consistent with partial nucleosome interdigitation. Histone citrullination strongly inhibits nucleosome stacking and self-association with a modest effect on chromatin folding, while the reconstituted arrays showed a zigzag topology which undergoes a dramatic unfolding induced by histone citrullination. This study sheds light on the internal structure of compact chromatin nanoparticles and suggests a novel mechanism for how epigenetic changes in chromatin are retained across both open and condensed forms of chromatin.

molecular biology↗

bioRxiv2021

Cofilin Regulates Filopodial Structure and Flexibility in Neuronal Growth Cones

Cofilin is best known for its ability to sever actin filaments, and facilitate cytoskeletal recycling inside of cells. At higher concentrations, in vitro, cofilin stabilizes a more flexible, hyper-twisted state of actin known as "cofilactin", but a structural role for cofilactin, in situ, has not been observed. Combining cryo-electron tomography and live-cell imaging in neuronal growth cones, we show that filopodial actin bundles can switch between a fascin-linked and a cofilin-decorated state, composed of hyper-twisted cofilactin filaments. These cofilactin bundles contribute to the flexibility of filopodial actin networks, thus regulating growth cone searching dynamics. Our results provide mechanistic insight into the processes underlying proper brain development, as well as fundamentals of cytoskeletal mechanics inside confined cellular spaces.

cell biology↗

bioRxiv2021

GM1 mediates the formation and maintenance of cytotoxic Aβ oligomers

The aggregation of amyloid beta (A{beta}) peptide is associated with Alzheimers disease (AD) pathogenesis. Cell membrane composition, especially monosialotetrahexosylganglioside (GM1), is known to promote the formation of A{beta} fibrils, yet little is known about the roles of GM1 in the early steps of A{beta} oligomer formation. Here, by using GM1-contained liposomes as a mimic of neuronal cell membrane, we demonstrate that GM1 is a critical trigger of A{beta} oligomerization and aggregation. We find that GM1 not only promotes the formation of A{beta} fibrils, but also facilitates the maintenance of A{beta} oligomers on liposome membranes. We structurally characterize the A{beta} oligomers formed on the membrane and find that GM1 captures A{beta} by binding to its arginine-5 residue. To interrogate the mechanism of A{beta} oligomer toxicity, we design a new liposome-based Ca2+-encapsulation assay and provide new evidence for the A{beta} ion channel hypothesis. Finally, we conduct cell viability assay to determine the toxicity of A{beta} oligomers formed on membranes. Overall, by uncovering the roles of GM1 in mediating early A{beta} oligomer formation and maintenance, our work provides a novel direction for pharmaceutical research for AD.

biophysics↗

bioRxiv2020

Extracellular vesicles from retinal pigment epithelial cells expressing R345W-Fibulin-3 induce epithelial-mesenchymal transition in recipient cells.

PurposePrevious studies in our lab found that expression of R345W-Fibulin-3 induces retinal pigment epithelial (RPE) cells to undergo epithelial-mesenchymal transition (EMT). The purpose of the current study was to investigate the size, cargo and function of extracellular vesicles (EVs) derived from RPE cells expressing wild-type (WT)-Fibulin-3 compared to RPE cells expressing the R345W-Fibulin-3 mutation, and to determine the role of these EVs in regulating RPE cell dysfunction. MethodsARPE-19 cells were infected with luciferase-tagged wild-type Fibulin-3 (WT)- or luciferase-tagged R345W-Fibulin-3 (mutant) using lentivirus. EVs were isolated from the media of ARPE-19 cells by conventional ultracentrifugation or density gradient ultracentrifugation. Transmission electron microscopy (TEM) and cryogenic electron microscopy (cryo-EM) were performed to study the morphology of the EVs. The amount and size distribution of EVs were determined by Nanoparticle Tracking Analysis (NTA). EV protein concentrations were quantified using the DCTM Protein Assay (Bio-Rad). EV cargo were analyzed by unbiased proteomics using LC-MS/MS with subsequent pathway analysis (Advaita). The EV-associated transforming growth factor beta 1 (TGF-{beta}1) protein was measured by Enzyme-linked immunosorbent assay (ELISA). The EV transplant study was conducted and migration ability was evaluated in ARPE-19 cells with or without exposure to EVs by conducting scratch assays. ResultsTEM imaging revealed concave-appearing vesicles, and cryo-EM imaging showed spherical vesicles with two subpopulations of EVs: a small group with diameters around 30nm and a large group with diameters around 100nm. Imaging also indicated a greater number of small EVs (~30 nm) in the mutant group compared to the WT group. This result was further confirmed by NTA showing that, in the mutant group, the particle size distributions were smaller than those of the WT EVs. There were no significant differences in EV protein concentrations per EV between WT and mutant groups. Proteomic studies showed that EVs derived from ARPE-19 cells expressing WT-Fibulin-3 contain critical members of sonic hedgehog signaling (SHH) signaling and ciliary tip components, whereas EVs derived from RPE cells expressing R345W-Fibulin-3 contain EMT mediators, including TGF-{beta}-induced protein (TGFBI), vimentin, and mothers against decapentaplegic homolog 4 (SMAD4), indicating that the EV cargo reflects the phenotypic status of their parental cells. Subsequent studies revealed enhanced activity of TGF-{beta}1 associated with mutant EVs compared to WT EVs. Critically, EV transplant studies showed that treatment of recipient RPE cells with mutant RPE cell-derived EVs was sufficient to induce an enhanced migration ability and elevated EMT marker expression of RPE cells. ConclusionsThe expression of R345W-Fibulin-3 alters the size, cargo and autocrine function of EVs. Notably, EVs derived from RPE cells expressing R345W-Fibulin-3 are sufficient to induce EMT in uninfected RPE cells.

cell biology↗

bioRxiv2017

Coarse-grained simulations of actomyosin rings point to a nodeless model involving both unipolar and bipolar myosins

Cytokinesis in most eukaryotic cells is orchestrated by a contractile actomyosin ring. While many of the proteins involved are known, the mechanism of constriction remains unclear. Informed by existing literature and new 3D molecular details from electron cryotomography, here we develop 3D coarse-grained models of actin filaments, unipolar and bipolar myosins, actin crosslinkers, and membranes and simulate their nteractions. Exploring a matrix of possible actomyosin configurations suggested that node-based architectures ike those presently described for ring assembly result in membrane puckers not seen in EM images of real cells. Instead, the model that best matches data from fluorescence microscopy, electron cryotomography, and biochemical experiments is one in which actin filaments transmit force to the membrane through evenly-distributed, membrane-attached, unipolar myosins, with bipolar myosins in the ring driving contraction. While at this point this model is only favored (not proven), the work highlights the power of coarse-grained biophysical simulations to compare complex mechanistic hypotheses.\n\nSignificance StatementIn most eukaryotes, a ring of actin and myosin drives cell division, but how the elements of the ring are arranged and constrict remain unclear. Here we use 3D coarse-grained simulations to explore various possibilities. Our simulations suggest that if actomyosin is arranged in nodes (as suggested by a popular model of ring assembly), the membrane distorts in ways not seen experimentally. Instead, actin and myosin are more ikely uniformly distributed around the ring. In the model that best fits experimental data, ring tension is generated by interactions between bipolar myosins and actin, and transmitted to the membrane via unipolar myosins. Technologically the study highlights how coarse-grained simulations can test specific mechanistic hypotheses by comparing their predicted outcomes to experimental results.

biophysics↗

bioRxiv2017

Structure of the fission yeast actomyosin ring during constriction

Cell division in many eukaryotes is driven by a ring containing actin and myosin. While much is known about the main proteins involved, the precise arrangement of actin filaments within the contractile machinery, and how force is transmitted to the membrane remains unclear. Here we use cryosectioning and cryo-focused ion beam milling to gain access to cryo-preserved actomyosin rings in Schizosaccharomyces pombe for direct three-dimensional imaging by electron cryotomography. Our results show that straight, overlapping actin filaments, running nearly parallel to each other and to the membrane, form a loose bundle of approximately 150 nm in diameter that \"saddles\" the inward-bending membrane at the leading edge of the division septum. The filaments do not make direct contact with the membrane. Our analysis of the actin filaments reveals the variability in filament number, nearest-neighbor distances between filaments within the bundle, their distance from the membrane and angular distribution with respect to the membrane.\n\nSignificance StatementMost eukaryotic cells divide using a contractile actomyosin ring, but its structure is unknown. Here we use new specimen preparation methods and electron cryotomography to image constricting rings directly in 3D, in a near-native state in the model organism Schizosaccharomyces pombe. Our images reveal the arrangement of individual actin filaments within the contracting actomyosin ring.

cell biology↗