Biology subjects

Manley, S.

Publications and source records attributed to Manley, S..

At least 19 recordsLinked to original sources

bioRxiv2026

MTERF1 loss buffers against pathogenic mtDNA deletions through transcriptional regulation

Large-scale mitochondrial DNA (mtDNA) deletions cripple oxidative phosphorylation once they exceed a critical heteroplasmy threshold, causing incurable mitochondrial pathologies. Using a genome-wide CRISPR/Cas9 screen in an engineered human cell line carrying a large-scale mtDNA deletion at high heteroplasmy, we identified mitochondrial transcription termination factor 1 (MTERF1) as a suppressor of the heteroplasmy burden. Loss of MTERF1 restored mitochondrial function and increased cellular proliferation in cells with a mtDNA deletion burden exceeding the pathogenic threshold, without altering heteroplasmy or mtDNA copy number. MTERF1 binds wild-type and deletion-bearing mitochondrial genomes indiscriminately at a site downstream of the ribosomal RNA genes and curbs transcription. Relieving this constraint broadly increased OXPHOS transcripts, thereby eliciting more respiratory output from the residual wild-type genomes. Notably, the buffering effect of MTERF1 loss extended beyond mtDNA deletions. In a counter-screen, MTERF1 loss could also restore respiratory growth in cells depleted of nuclear-encoded mitochondrial genes such as OPA1 and COX5A. Together, these findings indicate that by relieving a transcriptional constraint, MTERF1 loss compensates for reduced genome dosage, defining a strategy to enhance residual mitochondrial function in mtDNA deletion disorders and related conditions.

molecular biology↗

bioRxiv2026

Quantitative Expansion Microscopy for In Situ Estimation of Endogenous Target Abundance

Spatially mapping protein abundance in situ can offer important insights into molecular mechanisms and the physiological functions of protein complexes. This is typically achieved by combining super-resolution microscopy to image fluorescently-labeled protein locations with statistical estimators to retrieve abundances, where accuracy is strongly impacted by labeling efficiency. We introduce quantitative expansion microscopy (qExM) as a method to estimate endogenous protein abundance on ExM data, which offers improved antibody targeting through molecular decrowding. Using cryo-fixation, we preserved ultrastructure and enhanced labeling efficiency to improve accuracy in abundance estimations. We benchmark the effectiveness of qExM by quantifying the stoichiometry of well-characterized nuclear pore complex subunits, and find a mean percent error of 9.4%. We further apply qExM to investigate the abundance of mitochondrial respiratory chain complexes in functionally distinct organelle subpopulations, and of mitochondrial respiratory chain super-complexes in differentially activated human T-cells. qExM provides a robust methodological framework for quantifying endogenous protein abundance in expanded samples in situ.

cell biology↗

bioRxiv2025

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↗

bioRxiv2025

Smart hybrid microscopy for cell-friendlydetection of rare events

Fluorescence microscopy offers unparalleled access to the spatial organization and dynamics of biological events in living samples, yet capturing rare processes over extended durations remains challenging due to tradeoffs between exposure to excitation light and sample health. Here, we introduce hybrid-EDA, an event-driven acquisition (EDA) framework that combines the gentleness and contextual richness of phase contrast with the functional specificity of fluorescence. We developed surveillance for events of interest in label-free microscopy by novel dynamics-informed neural networks that trigger smart acquisitions in fluorescence upon detection. This allows us to dramatically reduce phototoxic damage while obtaining specific and functional information from fluorescence when beneficial. We demonstrate how hybrid-EDA enables improved imaging acquisitions of organelle contacts and mitochondrial divisions. We envision that hybrid-EDA will enable new insights into a range of dynamic and rare biological processes, providing a powerful and general strategy for cell-friendly imaging.

cell biology↗

bioRxiv2025

An updated inventory of genes essential for oxidative phosphorylation identifies a mitochondrial origin in familial Meniere disease

Mitochondrial disorders (MDs) are among the most common inborn errors of metabolism and primarily arise from defects in oxidative phosphorylation (OXPHOS). Their complex mode of inheritance and diverse clinical presentations render the diagnosis of MDs challenging and, to date, most lack a cure. Here, we build on previous efforts to discover genes necessary for OXPHOS and report a highly complementary galactose-sensitized CRISPR-Cas9 "growth" screen, presenting an updated inventory now with 481 OXPHOS genes, including 157 linked to MDs. We further focus on FAM136A, a gene associated with Menieres disease, and show that it supports inter-membrane space protein homeostasis and OXPHOS in cell lines, mice, and patients. Our study identifies a mitochondrial basis in a familial form of Menieres disease (fMD), provides a comprehensive resource of OXPHOS-related genes, and sheds light on the pathways involved in mitochondrial disorders, with the potential to guide future diagnostics and treatments for MDs. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/635272v1_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@1841a8forg.highwire.dtl.DTLVardef@1ebbaa8org.highwire.dtl.DTLVardef@12b70aeorg.highwire.dtl.DTLVardef@f2da2a_HPS_FORMAT_FIGEXP M_FIG C_FIG Bullet pointsO_LIGenome-wide CRISPR-Cas9 growth screening complements death screening C_LIO_LI481 genes essential for OXPHOS, including 157 mitochondrial disease genes C_LIO_LIFAM136A supports mitochondrial intermembrane space protein homeostasis C_LIO_LIDepletion of FAM136A in Menieres disease models causes OXPHOS defects C_LI

cell biology↗

bioRxiv2024

The biophysical mechanism of mitochondrial pearling

Mitochondrial networks exhibit remarkable dynamics that are driven in part by fission and fusion events. However, there are other reorganizations of the network that do not involve fission and fusion. One such exception is the elusive, "beads-on-a-string" morphological transition of mitochondria. During such transitions, the cylindrical tubes of the mitochondrial membrane transiently undergo shape changes to a string of "pearls" connected along thin tubes. These dynamics have been anecdotally observed in many contexts and given disparate explanations. Here we unify these observations by proposing a common underlying mechanism based on the biophysical properties of tubular fluid membranes for which it is known that, under particular regimes of tension and pressure, membranes reach an instability and undergo a shape transition to a string of connected pearls. First, we use high-speed light-sheet microscopy to show that transient, short-lived pearling events occur spontaneously in the mitochondrial network in every cell type we have examined, including primary fibroblasts, T-cells, neurons, and budding yeast. We present evidence that transient mitochondrial pearling occurs during important biological events, particularly during T cell activation, neuronal firing, and replicative senescence. Using our high-temporal resolution data, we identify two distinct categories of spontaneous pearling, i) internal pressure-driven pearling generated by ionic flux, and ii) external tension-driven pearling generated by the cytoskeleton. By applying live-cell STED and FIB-SEM imaging we document the structural reorganization of inner cristae membranes during mitochondrial pearling and the role of the MICOS complex in regulating the frequency of pearling events. We then establish numerous methods for inducing pearling, including the ability to induce these dynamics with single mitochondrion precision. These methods include ionophores, channel activators, osmotic shock, detergents, laser stimulation, membrane intercalating molecules, chemical fixation, and micro-needle force. These disparate inducers establish three main physical causes of pearling, i) ionic flux producing internal osmotic pressure, ii) membrane packing lowering bending elasticity, and iii) external mechanical force increasing membrane tension. Pearling dynamics thereby reveal a fundamental biophysical facet of mitochondrial biology. We suggest that pearling should take its place beside fission and fusion as a key process of mitochondrial dynamics, with implications for physiology, disease, and aging.

biophysics↗

bioRxiv2024

Pearling Drives Mitochondrial DNA Nucleoid Distribution

The mitochondria of most eukaryotes carry an indispensable second genome (mtDNA), encoding genes engaged in oxidative phosphorylation1. The regular positioning and segregation of mtDNA-containing nucleoids is essential for mitochondrial function and inheritance, as well as cellular health2-5. However, the underlying mechanism driving nucleoid distribution and disaggregation remains unknown6,7. Our data reveal that mitochondria frequently undergo reversible pearling, a biophysical instability that undulates tubules into regularly spaced beads 8, typically triggered by calcium influx. We discovered that physiological pearling imposes a characteristic length scale, simultaneously mediating nucleoid disaggregation and establishing inter-nucleoid distancing with near-maximally achievable precision. We found that lamellar cristae invaginations of the inner mitochondrial membrane play a dual role, determining pearling frequency and duration, and preserving the resulting nucleoid spacing after organelle recovery to a tubular form. Thus, disrupting cristae ultrastructure resulted in more frequent pearling, but also aberrant nucleoid clustering. Our results demonstrate that the distribution of mitochondrial genomes is governed by the interplay between rapid and reversible pearling and cristae ultrastructure, establishing a mechanism for this long-puzzling yet fundamental feature of eukaryotic life, and offering insights into its potential modulation.

cell biology↗

bioRxiv2024

Surface passivation and functionalization for interferometric scattering microscopy

Interferometric scattering (iSCAT) microscopy enables the label-free observation of biomolecule interactions with surfaces. Consequently, single-particle imaging and tracking with iSCAT is a growing area of study. However, establishing reliable cover glass passivation and functionalization methods are crucial to reduce non-specific binding and prepare surfaces for in vitro single-molecule binding experiments. Existing protocols for fluorescence microscopy can contain strongly scattering or mobile components, which make them impractical for iSCAT-based microscopy. In this study, we characterize several different surface coatings using iSCAT. We present approaches for cover glass passivation using 3-aminopropyltriethoxysilane (APTES) and polyethylene glycol (PEG, 2k) along with functionalization via a maleimide-thiol linker. These coatings are compatible with water or salt buffers, and show low background scattering; thus, we are able to measure proteins as small as 60 kDa. In this technical note, we offer a surface preparation suitable for in vitro experiments with iSCAT.

biophysics↗

bioRxiv2024

An unsupervised deep learning framework encodes super-resolved image features to decode bacterial cell cycle

Super-resolution microscopy can resolve cellular features at the nanoscale. However, increased spatial resolution comes with increased phototoxicity, and reduced temporal resolution. As a result, studies that require the highest spatial resolutions often rely on static or fixed images, lacking dynamic information. This is particularly true of bacteria, whose lateral dimensions approach the scale of the diffraction limit. In this work, we present Enso, a method based on unsupervised machine learning to recover bacterial cell cycle and cell type information from static single molecule localization microscopy (SMLM) images, whilst retaining nanoscale spatial resolution. Enso uses single-cell images as input, and orders cells according to their spatial pattern progression, ultimately linked to the cell cycle. Our method requires no a priori knowledge or categories, and is validated on both simulated and user-annotated experimental data.

bioinformatics↗

bioRxiv2024

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↗

bioRxiv2023

Chromosome organization shapes replisome dynamics in Caulobacter crescentus

DNA replication in bacteria takes place on highly compacted chromosomes, where segregation, transcription, and repair must occur simultaneously. Within this dynamic environment, colocalization of sister replisomes has been observed in many bacterial species, driving the hypothesis that a physical linker may tether them together. However, replisome splitting has also been reported in many of the same species, leaving the principles behind replisome organization a long-standing puzzle. Here, by tracking the replisome {beta}-clamp subunit in live Caulobacter crescentus, we find that rapid DNA segregation can give rise to a second focus which resembles a replisome, but does not replicate DNA. Sister replisomes can remain colocalized, or split apart to travel along DNA separately upon disruption of chromosome inter-arm alignment. Furthermore, chromosome arm-specific replication-transcription conflicts differentially modify replication speed on the two arms, facilitate the decoupling of the two replisomes. With these observations, we conclude that the dynamic chromosome organization flexibly shapes the organization of sister replisomes, and we outline principles which can help to reconcile previously conflicting models of replisome architecture.

microbiology↗

bioRxiv2023

Label-free imaging of DNA interactions with 2D materials

Two-dimensional (2D) materials offer potential as substrates for biosensing devices, as their properties can be engineered to tune interactions between the surface and biomolecules. Yet, not many methods can measure these interactions in a liquid environment without introducing labeling agents such as fluorophores. In this work, we harness interferometric scattering (iSCAT) microscopy, a label-free imaging technique, to investigate the interactions of single molecules of long dsDNA with 2D materials. The millisecond temporal resolution of iSCAT allows us to capture the transient interactions and to observe the dynamics of unlabeled DNA binding to a hexagonal boron nitride (hBN) surface in solution for extended periods (including a fraction of 10%, of trajectories lasting longer than 110 ms). Using a Focused Ion Beam (FIB) technique to engineer defects, we find that DNA binding affinity is enhanced at defects; when exposed to long lanes, DNA binds preferentially at lane edges. Overall, we demonstrate that iSCAT imaging is a useful tool to study how biomolecules interact with 2D materials, a key component in engineering future biosensors.

biophysics↗

bioRxiv2021

Polyphosphate affects cytoplasmic and chromosomal dynamics in nitrogen-starved Pseudomonas aeruginosa

Polyphosphate (polyP) synthesis is a ubiquitous stress and starvation response in bacteria. In diverse species, mutants unable to make polyP have a wide variety of physiological defects, but the mechanisms by which this simple polyanion exerts its effects remain unclear. One possibility is that polyPs many functions stem from global effects on the biophysical properties of the cell. We characterize the effect of polyphosphate on cytoplasmic mobility under nitrogen-starvation conditions in the opportunistic pathogen Pseudomonas aeruginosa. Using fluorescence microscopy and particle tracking, we characterize the motion of chromosomal loci and free tracer particles in the cytoplasm. In the absence of polyP and upon starvation, we observe an increase in mobility both for chromosomal loci and for tracer particles. Tracer particles reveal that polyP also modulates the partitioning between a more mobile and a less mobile population: small particles in cells unable to make polyP are more likely to be mobile and explore more of the cytoplasm, particularly during starvation. We speculate that this larger freedom of motion may be a consequence of nucleoid decompaction, which we also observe in starved cells deficient in polyP. Our observations suggest that polyP limits cytoplasmic mobility and accessibility during nitrogen starvation, which may help to explain the pleiotropic phenotypes observed in the absence of polyP.

biophysics↗

bioRxiv2021

Event-driven acquisition for content-enriched microscopy

A common goal of fluorescence microscopy is to collect data on specific biological events. Yet, the event-specific content that can be collected from a sample is limited, especially for rare or stochastic processes. This is due in part to photobleaching and phototoxicity, which constrain imaging speed and duration. We developed an event-driven acquisition (EDA) framework, in which neural network-based recognition of specific biological events triggers real-time control in an instant structured illumination microscope (iSIM). Our setup adapts acquisitions on-the-fly by switching between a slow imaging rate while detecting the onset of events, and a fast imaging rate during their progression. Thus, we capture mitochondrial and bacterial divisions at imaging rates that match their dynamic timescales, while extending overall imaging durations. Because EDA allows the microscope to respond specifically to complex biologi-cal events, it acquires data enriched in relevant content.

cell biology↗

bioRxiv2021

Nanoscale organization of the endogenous ASC speck

The NLRP3 inflammasome is a central component of the innate immune system. Its activation leads to the formation of a supramolecular assembly of the inflammasome adaptor protein ASC, commonly referred to as the "ASC speck". Different models of the overall structure of the ASC speck, as well as the entire NLRP3 inflammasome, have been reported in the literature. While many experiments involve overexpression or in vitro reconstitution of recombinant ASC, the cytoplasmic endogenous ASC speck remains difficult to study due to its relatively small size and structural variability. Here, we use a combination of fluorescence imaging techniques including dual-color 3D super-resolution imaging (dSTORM and DNA-PAINT) to visualize the endogenous ASC speck following NLRP3 inflammasome activation. We observe that the complex varies in diameter between [~]800 and 1000 nm and is composed of a dense core from which filaments extend into the periphery. We used a combination of anti-ASC antibodies as well as much smaller nanobodies for labeling, and find that the larger antibodies reliably label the lower-density periphery whereas the nanobody, which has a lower binding affinity, is more efficient in labeling the dense core. Imaging whole cells using dSTORM, furthermore, allowed us to sort the imaged structures into a pseudo-time sequence suggesting that the endogenous ASC speck becomes denser but not much larger during its formation. The reported results add an important piece of information towards a comprehensive understanding of the supramolecular structure of the endogenous inflammasome complex. SignificanceThe assembly of ASC into a supramolecular complex referred to as the ASC speck is a critical step in the NLRP3 inflammasome response. Despite significance research, the organization and formation of the endogenous ASC speck remain elusive. We used a combination of differently sized ASC labels with super-resolution microscopy to address the organization of the ASC speck at the nanoscale. Our results allow inference of the supramolecular structure of the unperturbed, endogenous speck and characterize how it changes during ASC recruitment. We find that the complex varies in size and is composed of a dense core from which filaments extend into the periphery. Notably, our results further indicate that during inflammasome formation, ASC specks become denser but only slightly larger.

immunology↗

bioRxiv2020

Distinct molecular signatures of fission predict mitochondrial degradation or proliferation

Mitochondrial fission is a highly regulated process which, when disrupted, can alter metabolism, proliferation and apoptosis1-3. The downstream effects have implications for many diseases, from neurodegeneration4-6 to cardiovascular disease7,8 and cancer9,10. Key components of the fission machinery have been identified: constriction sites are initiated by the endoplasmic reticulum (ER)11 and actin12 before dynamin-related protein 1 (Drp1)13 is recruited to the outer mitochondrial membrane via adaptor proteins14-17, where it drives constriction and scission of the membrane18. In the life cycle of mitochondria, fission is important for the biogenesis of new mitochondria as well as the clearance of dysfunctional mitochondria via mitophagy3,19. Global regulation of fission on the cellular level is insufficient to explain how fate decisions are made at the single organelle level, so it is unknown how those dual functions arise, blocking progress in developing therapies that target mitochondrial activity. However, systematically studying mitochondrial division to uncover fate determinants is challenging, since fission is unpredictable, and mitochondrial morphology is extremely heterogeneous. Furthermore, because their ultrastructure lies below the diffraction limit, the dynamic organization of mitochondria and their interaction partners are hard to study at the single organelle level. We used live-cell structured illumination microscopy (SIM) and instant SIM20 for fast multi-colour acquisition of mitochondrial dynamics in Cos-7 cells and mouse cardiomyocytes. We analysed hundreds of fission events, and discovered two functionally and mechanistically distinct types of fission. Mitochondria divide peripherally to shed damaged material into smaller daughter mitochondria that subsequently undergo mitophagy, whereas healthy mitochondria proliferate via midzone division. Both types are Drp1-mediated, but they rely on different membrane adaptors to recruit Drp1, and ER and actin mediated pre-constriction is only involved in midzone fission.

cell biology↗

bioRxiv2020

Virtual-SMLM, a virtual environment for real-time interactive SMLM acquisition

Although single molecule localisation microscopy enables for the visualisation of cells nanoscale organisation, its dissemination remains limited mainly due to the complexity of the associated imaging acquisition, impacting on outputs reliability and reproducibility. We propose here the first all-in-one fully virtual environment for SMLM acquisition: Virtual-SMLM, including on-the-fly interactivity and real time display. It relies on a novel realistic approach to simulate fluorophores photo-physics based on independent pseudo-continuous emission traces. It also facilitates for user-specific experimental and optical environment design. As such, it constitutes a unique tool for the training of both users and machine learning approaches to automated SMLM, as well as for experimental validation, whilst providing realistic data sets for the development of image reconstruction algorithms and data analysis software.

biophysics↗

bioRxiv2020

Nanoscale pattern extraction from relative positions of sparse 3D localisations

We present a method for extracting high-resolution ordered features from localisation microscopy data by analysis of relative molecular positions in 2D or 3D. This approach allows pattern recognition at sub-1% protein detection efficiencies, in large and heterogeneous samples, and in 2D and 3D datasets. We used this method to infer ultrastructure of the nuclear pore, the cardiomyocyte Z-disk, DNA origami structures and the centriole.

cell biology↗