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Results for “Cell Biology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2018

Immuno-proteomic interrogation of dengue infection reveals novel HLA haplotype-specific MHC-I antigens

Broadly effective vaccines against dengue virus (DENV) infection have remained elusive, despite rising infection rates in the developing world. Infection-specific peptide ligands presented on Major Histocompatibility Complexes (MHC) open new avenues for developing T-cell-based interventions. Past efforts towards mapping viral MHC epitopes were based on computational predictions that only partially reflected actual antigen presentation. To empirically identify DENV-specific MHC ligands, we developed an immuno-proteomics approach for interrogating DENV- and self-derived MHC ligands from infected B-lymphocytes. Here, we report four fundamental findings: First, over 700 infection-specific MHC-ligands reflected host cellular responses to DENV that were not apparent from the proteome. Second, we report 121 viral MHC-I ligands (108 novel) which clustered into discrete hotspots across the DENV polyprotein, some of which spanned DENV polyprotein components, described here as MHC ligands for the first time. Third, we found DENV ligands which were distinctly presented by MHC alleles previously associated with either high or low anti-DENV response. Fourth, we demonstrate that while our in vitro assay only overlapped with a small fraction of previously described DENV T-cell epitopes, several novel MHC ligands identified here were recognized by T-cells from DENV-infected patients despite having low binding affinities. Together, these discoveries suggest that virus and host-derived MHC ligands have under-exploited potential for describing the cell biology of DENV infection, and as candidates for designing effective DENV vaccines.

immunology↗

bioRxiv2018

Pooled clone collections by multiplexed CRISPR/Cas12a-assisted gene tagging in yeast

Clone collections of modified strains ( libraries) are a major resource for systematic studies with the yeast Saccharomyces cerevisiae. Construction of such libraries is time-consuming, costly and confined to the genetic background of a specific yeast strain. To overcome these limitations, we developed CRISPR/Cas12a (Cpf1)-assisted tag library engineering (CASTLING) for multiplexed strain construction. CASTLING uses microarray-synthesized oligonucleotide pools and in vitro recombineering to program the genomic insertion of long DNA constructs via homologous recombination. One simple transformation yields pooled libraries with >90% of correctly tagged clones. Up to several hundred genes can be tagged in a single step and, on a genomic scale, approximately half of all genes are tagged with only ~10-fold oversampling. We report several parameters that affect tagging success and provide a quantitative targeted next-generation sequencing method to analyze such pooled collections. Thus, CASTLING unlocks new avenues for increased throughput in functional genomics and cell biology research. (max 150 words)

genomics↗

bioRxiv2018

Speed-detachment tradeoff and its effect on track bound transport of single motor protein

The transportation of the cargoes in biological cells is primarily driven by the motor proteins on filamentous protein tracks. The stochastic nature of the motion of motor protein often leads to its spontaneous detachment from the track. Using the available experimental data, we demonstrate a tradeoff between the speed of the motor and its rate of spontaneous detachment from the track. Further, it is also shown that this speed-detachment relation follows a power law where its exponent dictates the nature of the motor protein processivity. We utilize this information to study the motion of motor protein on track using a random-walk model. We obtain the average distance travelled in fixed duration and average time required for covering a given distance by the motor protein. These analyses reveal non-monotonic dependence of the motor protein speed on its transport and, therefore, optimal motor speeds can be identified for the time and distance controlled conditions.

biophysics↗

bioRxiv2019

Compartmentalized Biosynthesis of Mycophenolic Acid

Mycophenolic acid (MPA) from filamentous fungi is the first natural product antibiotic in human history and a first-line immunosuppressive drug for organ transplantations and autoimmune diseases. However, its biosynthetic mechanisms have remained a long-standing mystery. Here, we elucidate the MPA biosynthetic pathway that features both compartmentalized enzymatic steps and unique cooperation between biosynthetic and {beta}-oxidation catabolism machineries based on targeted gene inactivation, feeding experiments in heterologous expression hosts, enzyme functional characterization and kinetic analysis, and microscopic observation of protein subcellular localization. Besides identification of the oxygenase MpaB as the long-sought key enzyme responsible for the oxidative cleavage of sesquiterpene side chain, we reveal the intriguing pattern of compartmentalization for the MPA biosynthetic enzymes, including the cytosolic polyketide synthase MpaC and O-methyltransferase MpaG, the Golgi apparatus-associated prenyltransferase MpaA, the endoplasmic reticulum-bound oxygenase MpaB and P450-hydrolase fusion enzyme MpaDE, and the peroxisomal acyl-CoA hydrolase MpaH. The whole pathway is elegantly co-mediated by these compartmentalized enzymes, together with the peroxisomal {beta}-oxidation machinery. Beyond characterizing the remaining outstanding steps of the MPA biosynthetic pathway, our study highlights the importance of considering subcellular contexts and the broader cellular metabolism in natural product biosynthesis.\n\nSignificance StatementHere we elucidate the full biosynthetic pathway of the fungal natural product mycophenolic acid (MPA), which represents an unsolved mystery for decades. Besides the intriguing enzymatic mechanisms, we reveal that the MPA biosynthetic enzymes are elegantly compartmentalized; and the subcellular localization of the acyl-CoA hydrolase MpaH in peroxisomes is required for the unique cooperation between biosynthetic and {beta}-oxidation catabolism machineries. This work highlights the importance of a cell biology perspective for understanding the unexplored organelle-associated essential catalytic mechanisms in natural product biosynthesis of fungi and other higher organisms. The insights provided by our work will also benefit future efforts for both industrial strain improvement and novel drug development.

biochemistry↗

bioRxiv2019

Cytokinetic furrowing and abscission dynamics during brain development revealed by live imaging

McNeely et al. quantitatively analyze polarized cytokinetic furrow ingression and abscission in mouse neuroepithelium by live imaging. The findings show important differences from HeLa cells, and suggest abscission timing and midbody release may be developmentally regulated, to influence daughter cell fate during brain growth. AbstractWhile mechanisms of cytokinesis have been identified in single cell models, the spatial and temporal regulation in developing tissues is less understood. Here we compare cytokinetic furrowing and abscission in mouse neuroepithelial stem cells (NESCs) at different developmental stages and in a cytokinesis mutant, including imaging abscission dynamics in a polarized epithelium for the first time. We find that asymmetric furrows of NESCs ingress at a constant but slow rate, and form the midbody at the apical membrane. Usually, bilateral abscission on each midbody flank releases the midbody remnant extracellularly. Interestingly, midbody remnants are more associated with early proliferative divisions. Unexpectedly, in the microcephalic Kif20b mutant, abscission is accelerated and occurs when the midbody is wider. The daughter cells of mutant NESCs show increased cell cycle exit that is p53-independent. We suggest that abscission mechanisms are developmentally regulated. These results provide significant insight into adaptations of a fundamental cell biological process required for proper brain growth.

developmental biology↗

bioRxiv2019

A generic approach for studying the kinetics of liquid-liquid phase separation under near-native conditions

Understanding the kinetics and underlying physicochemical forces of liquid-liquid phase separation (LLPS) is of paramount importance in cell biology, requiring reproducible methods for the analysis of often severely aggregation-prone proteins. Frequently applied approaches, such as dilution of the protein from an urea-containing solution or cleavage of its fused solubility tag, however, often lead to very different kinetic behaviors. Here we suggest that at extreme pH values even proteins such as the low-complexity domain (LCD) of hnRNPA2, TDP-43, and NUP-98 can be kept in solution, and then their LLPS can be induced by a jump to native pH, resulting in a system that can be easily controlled. This approach represents a generic method for studying LLPS under near native conditions, providing a platform for studying the phase-separation behavior of diverse proteins.

molecular biology↗

bioRxiv2019

Protein secondary structure determines the temporal relationship between folding and disulfide formation

How and when disulfides form in proteins during their folding is a fundamental question in cell biology. Two models describe the relationship between disulfide formation and folding, the folded precursor model, in which formation of nascent structure occurs prior to the disulfides and the quasi-stochastic model where disulfides form prior to complete domain folding. Here we investigate oxidative folding within a cellular milieu of three structurally diverse substrates in order to understand the folding mechanisms required to achieve correct cysteine coupling. We use a eukaryotic translation system in which we can manipulate the redox conditions and produce stalled translation intermediates representative of different stages of translocation. We identify different disulfide bonded isomers by non-reducing SDS-PAGE. Using this approach, we determined whether each substrate followed a folding driven or disulfide driven mechanism. Our results demonstrate that the folding model is substrate-dependent with disulfides forming prior to complete domain folding in a cysteine-rich domain lacking secondary structure, whereas disulfide formation was absent in proteins with defined structural elements. In addition, we demonstrate the presence and rearrangement of non-native disulfides specifically in substrates following the quasi-stochastic model. These findings demonstrate why non-native disulfides are prevented from forming in proteins with well-defined secondary structure. Significance statementA third of human proteins contain structural elements called disulfide bonds that are often crucial for stability and function. Disulfides form between cysteines in the specialised environment of the endoplasmic reticulum (ER), during the complex process of protein folding. Many proteins contain multiple cysteines that can potentially form correct or incorrect cysteine pairings. To investigate how correct disulfide pairs are formed in a biological context, we developed an experimental approach to assess disulfide formation and rearrangement as proteins enter the ER. We found that a disulfide-dense protein domain with atypical secondary structure undergoes disulfide orchestrated folding as it enters the ER and is prone to incorrect disulfide formation. In contrast, proteins with defined secondary structure form folding dependent, native disulfides. These findings show how different mechanisms of disulfide formation can be rationalised from structural features of the folding domains.

biochemistry↗

bioRxiv2019

Versatile proteome labelling in fruit flies with SILAF

Drosophila melanogaster has been a working horse of genetics and cell biology for more than a century. However, proteomic-based methods have been limited due to technical obstacles, especially the lack of reliable labelling methods. Here, we advanced a chemically defined food source into stable-isotope labelling of amino acids in flies (SILAF). It allows for the rapid generation of a large number of flies with full incorporation of lysine-6. SILAF followed by fractionation and enrichment gave proteomic insights at a depth of 5,966 proteins and 7,496 phosphorylation sites, which substantiated metabolic regulation on enzymatic level. Furthermore, the label can be traced and predicts protein turnover rates during different developmental stages. The ease and versatility of the method actuates the fruit fly as an appealing model in proteomic and post-translational modification studies and it enlarges potential metabolic applications based on heavy amino acid diets.

molecular biology↗

bioRxiv2019

Detecting nanoscale distribution of protein pairs by proximity-dependent super-resolution microscopy

Interactions between biomolecules such as proteins underlie most cellular processes. It is crucial to visualize these molecular-interaction complexes directly within the cell, to show precisely where these interactions occur and thus improve our understanding of cellular regulation. Currently available proximity-sensitive assays for in-situ imaging of such interactions produce diffraction-limited signals and therefore preclude information on the nanometer-scale distribution of interaction complexes. By contrast, optical super-resolution imaging provides information about molecular distributions with nanometer resolution which has greatly advanced our understanding of cell biology. However, current co-localization analysis of super-resolution fluorescence imaging is prone to false positive signals as the detection of protein proximity is directly dependent on the local optical resolution. Here we present Proximity-Dependent PAINT (PD-PAINT), a method for sub-diffraction imaging of protein pairs, in which proximity detection is decoupled from optical resolution. Proximity is detected via the highly distance-dependent interaction of two DNA labels anchored to the target species. Labeled protein pairs are then imaged with high contrast and nanoscale resolution using the super-resolution approach of DNA-PAINT. The mechanisms underlying the new technique are analyzed by means of coarse-grained molecular simulations and experimentally demonstrated by imaging DNA-origami tiles and epitopes of cardiac proteins in isolated cardiomyocytes. We show that PD-PAINT can be straightforwardly integrated in a multiplexed super-resolution imaging protocol and benefits from advantages of DNA-based super-resolution localization microscopy, such as high specificity, high resolution and the ability to image quantitatively.

molecular biology↗

bioRxiv2019

AlbaTraDIS: Comparative analysis of large datasets from parallel transposon mutagenesis experiments

BackgroundBacteria have evolved over billions of years to survive in a wide range of environments. Currently, there is an incomplete understanding of the genetic basis for mechanisms underpinning survival in stressful conditions, such as the presence of anti-microbials. Transposon mutagenesis has been proven to be a powerful tool to identify genes and networks which are involved in survival and fitness under a given condition by simultaneously assaying the fitness of millions of mutants, thereby relating genotype to phenotype and contributing to an understanding of bacterial cell biology. A recent refinement of this approach allows the roles of essential genes in conditional stress survival to be inferred by altering their expression. These advancements combined with the rapidly falling costs of sequencing now allows comparisons between multiple experiments to identify commonalities in stress responses to different conditions. This capacity however poses a new challenge for analysis of multiple data sets in conjunction.\n\nResultsTo address this analysis need, we have developed AlbaTraDIS; a software application for rapid large-scale comparative analysis of TraDIS experiments that predicts the impact of transposon insertions on nearby genes. AlbaTraDIS can identify genes which are up or down regulated, or inactivated, between multiple conditions, producing a filtered list of genes for further experimental validation as well as several accompanying data visualisations. We demonstrate the utility of our new approach by applying it to identify genes used by Escherichia coli to survive in a wide range of different concentrations of the biocide Triclosan. AlbaTraDIS automatically identified all well characterised Triclosan resistance genes, including the primary target, fabI. A number of new loci were also implicated in Triclosan resistance and the predicted phenotypes for a selection of these were validated experimentally and results showed high consistency with predictions.\n\nConclusionsAlbaTraDIS provides a simple and rapid method to analyse multiple transposon mutagenesis data sets allowing this technology to be used at large scale. To our knowledge this is the only tool currently available that can perform these tasks. AlbaTraDIS is written in Python 3 and is available under the open source licence GNU GPL 3 from https://github.com/quadram-institute-bioscience/albatradis.

bioinformatics↗

bioRxiv2019

Nanoscale subcellular architecture revealed by multicolor 3D salvaged fluorescence imaging

Combining the molecular specificity of fluorescent probes with three-dimensional (3D) imaging at nanoscale resolution is critical for investigating the spatial organization and interactions of cellular organelles and protein complexes. We present a super-resolution light microscope that enables simultaneous multicolor imaging of whole mammalian cells at ~20 nm 3D resolution. We show its power for cell biology research with fluorescence images that resolved the highly convoluted Golgi apparatus and the close contacts between the endoplasmic reticulum and the plasma membrane, structures that have traditionally been the imaging realm of electron microscopy.\n\nOne Sentence SummaryComplex cellular structures previously only resolved by electron microscopy can now be imaged in multiple colors by 4Pi-SMS.

biophysics↗

bioRxiv2019

Isolated occurrences of membrane perturbation by mechanosensing from weakly aggregating silver nanoparticles

Silver nanoparticles (AgNPs) have wide-ranging applications, including as additives in consumer products and in medical diagnostics and therapy. Therefore understanding how AgNPs interact with biological systems is important for ascertaining any potential health risks due to the likelihood of high levels of human exposure. Besides any severe, acute effects, it is desirable to understand more subtle interactions that could lead to milder, chronic health impacts. Nanoparticles are small enough to be able to enter biological cells and interfere with their internal biochemistry. The initial contact between nanoparticle and cell is at the plasma membrane. To gain fundamental mechanistic insight into AgNP-membrane interactions, we investigate these phenomena in minimal model systems using a wide-range of biophysical approaches applied to lipid vesicles. We find a strong dependence on the medium composition, where colloidally stable AgNPs in a glucose buffer have negligible effect on the membrane. However, at a physiological salt concentrations, the AgNPs start to weakly aggregate and sporadic but significant membrane perturbation events are observed. Under these latter conditions, transient poration and structural remodelling of some vesicle membranes is observed. We observe that the fluidity of giant vesicle membranes universally decreases by an average of 16% across all vesicles. However, we observe a small population of vesicles display a significant change in mechanical properties with lower bending rigidity and higher membrane tension. Therefore we argue that the isolated occurrences of membrane perturbation by AgNPs are due to low probability mechanosensing events of AgNP aggregation at the membrane.\n\nGRAPHICAL ABSTRACT\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC=\"FIGDIR/small/623678v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (54K):\norg.highwire.dtl.DTLVardef@196aa51org.highwire.dtl.DTLVardef@87c12borg.highwire.dtl.DTLVardef@9b2096org.highwire.dtl.DTLVardef@7877f6_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2019

Frustration and Fidelity in Influenza Genome Assembly

The genome of the influenza virus consists of eight distinct single-stranded RNA segments, each encoding proteins essential for the viral life cycle. When the virus infects a host cell these segments must be replicated and packaged into new budding virions. The viral genome is assembled with remarkably high fidelity: experiments reveal that most virions contain precisely one copy of each of the eight RNA segments. Cell-biological studies suggest that genome assembly is mediated by specific reversible and irreversible interactions between the RNA segments and their associated proteins. However, the precise inter-segment interaction network remains unresolved. Here we computationally predict that tree-like irreversible interaction networks guarantee high-fidelity genome assembly, while cyclic interaction networks lead to futile or frustrated off-pathway products. We test our prediction against multiple experimental datasets. We find that tree-like networks capture the nearest-neighbor statistics of RNA segments in packaged virions, as observed by EM tomography. Just eight tree-like networks (of a possible 262,144) optimally capture both the nearest-neighbor data as well as independently measured RNA-RNA contact propensities. These eight do not include the previously-proposed hub-and-spoke and linear networks. Rather, each predicted network combines hub-like and linear features, consistent with evolutionary models of interaction gain and loss.

biophysics↗

bioRxiv2019

Mitochondrial dynamics quantitatively revealed by STED nanoscopy with an enhanced squaraine variant probe

Mitochondria play a critical role in generating energy to support the entire lifecycle of biological cells, yet it is still unclear how their morphological structures evolve to regulate their functionality. Conventional fluorescence microscopy can only provide [~]300 nm resolution, which is insufficient to visualize mitochondrial cristae. Here, we developed an enhanced squaraine variant dye (MitoESq-635) to study the dynamic structures of mitochondrial cristae in live cells at superresolution. The low saturation intensity and high photostability make it ideal for long-term, high-resolution STED nanoscopy. We demonstrate the time-lapsed imaging of the mitochondrial inner membrane over 50 minutes in living HeLa cells at 35.2 nm resolution for the first time. The forms of the cristae during mitochondrial fusion and fission can be clearly resolved. Our study demonstrates the emerging capability of optical STED nanoscopy to investigate intracellular physiological processes at nanoscale resolution for long periods of time with minimal phototoxicity.

biophysics↗

bioRxiv2019

Fluorescent reporters for functional analysis in rice leaves

Fluorescent reporters have facilitated non-invasive imaging in multiple plant species and thus allowed analysis of processes ranging from gene expression and protein localization through to cellular patterning. However, in rice, a globally important crop and model species, there are relatively few reports of fluorescent proteins being used in leaves. Fluorescence imaging is particularly difficult in the rice leaf blade, likely due to a high degree of light scattering in this tissue. To address this, we investigated approaches to improve deep imaging in mature rice leaf blades. We found that ClearSee treatment, which has previously been used to visualise fluorescent reporters in whole tissues of plants, led to improved imaging in rice. Removing epidermal and subtending mesophyll cell layers was faster than ClearSee, and also reduced light scattering such that imaging of fluorescent proteins in deeper leaf layers was possible. To expand the range of fluorescent proteins suitable for imaging in rice, we screened twelve whose spectral profiles spanned most of the visible spectrum. This identified five proteins, mTurquoise2, mClover3, mNeonGreen, mKO{kappa} and tdTomato that are robustly expressed and visible in mesophyll cells of stably transformed plants. Using microparticle bombardment, we show that mTurquoise2 and mNeonGreen can be used for simultaneous multicolour imaging of different sub-cellular compartments. Overall, we conclude that mTurquoise2, mClover3, mNeonGreen, mKO{kappa} and tdTomato are suitable for high resolution live imaging of rice leaves, both after transient and stable transformation. Along with the rapid microparticle bombardment method, which allows transient transformation of major cell types in the leaf blade, these fluorescent reporters should greatly facilitate the analysis of gene expression and cell biology in rice.\n\nOne sentence summaryWe report five fluorescent reporters suitable for functional analysis in rice leaves.

plant biology↗

bioRxiv2019

The conical shape of DIM lipids promotes Mycobacterium tuberculosis infection of macrophages

Phthiocerol dimycocerosate (DIM) is a major virulence factor of the pathogen Mycobacterium tuberculosis (Mtb). While this lipid promotes the entry of Mtb into macrophages, which occurs via phagocytosis, its molecular mechanism of action is unknown. Here, we combined biophysical, cell biology, and modelling approaches to reveal the molecular mechanism of DIM action on macrophage membranes leading to the first step of Mtb infection. MALDI-TOF mass spectrometry showed that DIM molecules are transferred from the Mtb envelope to macrophage membranes during infection. Multi-scale molecular modeling and 31P-NMR experiments revealed that DIM adopts a conical shape in membranes and aggregate in the stalks formed between two opposing lipid bilayers. Infection of macrophages pre-treated with lipids of various shapes uncovered a general role for conical lipids in promoting phagocytosis. Taken together, these results reveal how the molecular shape of a mycobacterial lipid can modulate the biological function of macrophages.

biophysics↗

bioRxiv2019

Biophysical principles of choanoflagellate self-organization

Inspired by the patterns of multicellularity in choanoflagellates, the closest living relatives of animals, we quantify the biophysical processes underlying the morphogenesis of rosette colonies in the choanoflagellate Salpingoeca rosetta. We find that rosettes reproducibly transition from an early stage of 2D growth to a later stage of 3D growth, despite the underlying stochasticity of the cell lineages. We postulate that the extracellular matrix (ECM) exerts a physical constraint on the packing of proliferating cells, thereby sculpting rosette morphogenesis. Our perturbative experiments coupled with biophysical simulations demonstrates the fundamental importance of a basally-secreted ECM for rosette morphogenesis. In addition, this yields a morphospace for the shapes of these multicellular colonies, consistent with observations of a range of choanoflagellates. Overall, our biophysical perspective on rosette development complements previous genetic perspectives and thus helps illuminate the interplay between cell biology and physics in regulating morphogenesis.\n\nSignificance statementComparisons among animals and their closest living relatives, the choanoflagellates, have begun to shed light on the origin of animal multicellularity and development. Here we complement previous genetic perspectives on this process by focusing on the biophysical principles underlying colony morphology and morphogenesis. Our study reveals the crucial role of the extracellular matrix in shaping the colonies and leads to a phase diagram that delineates the range of morphologies as a function of the biophysical mechanisms at play.

biophysics↗

bioRxiv2019

Engineered illumination devices for optogenetic control of cellular signaling dynamics

Spatially and temporally varying patterns of morphogen signals during development drive cell fate specification at the proper location and time. However, current in vitro methods typically do not allow for precise, dynamic, spatiotemporal control of morphogen signaling and are thus insufficient to readily study how morphogen dynamics impact cell behavior. Here we show that optogenetic Wnt/{beta}-catenin pathway activation can be controlled at user-defined intensities, temporal sequences, and spatial patterns using novel engineered illumination devices for optogenetic photostimulation and light activation at variable amplitudes (LAVA). The optical design of LAVA devices was optimized for uniform illumination of multi-well cell culture plates to enable high-throughput, spatiotemporal optogenetic activation of signaling pathways and protein-protein interactions. Using the LAVA devices, variation in light intensity induced a dose-dependent response in optoWnt activation and downstream Brachyury expression in human embryonic stem cells (hESCs). Furthermore, time-varying and spatially localized patterns of light revealed tissue patterning that models embryonic presentation of Wnt signals in vitro. The engineered LAVA devices thus provide a low-cost, user-friendly method for high-throughput and spatiotemporal optogenetic control of cell signaling for applications in developmental and cell biology.

bioengineering↗