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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 Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2022

Growth Mechanics: General principles of optimal cellular resource allocation in balanced growth

The physiology of biological cells evolved under physical and chemical constraints such as mass conservation, nonlinear reaction kinetics, and limits on cell density. For unicellular organisms, the fitness that governs this evolution is mainly determined by the balanced cellular growth rate. We previously introduced Growth Balance Analysis (GBA) as a general framework to model such nonlinear systems, and we presented analytical conditions for optimal balanced growth in the special case that the active reactions are known. Here, we develop Growth Mechanics (GM) as a more general, succinct, and powerful analytical description of the growth optimization of GBA models, which we formulate in terms of a minimal number of dimensionless variables. GM uses Karush-Kuhn-Tucker (KKT) conditions in a Lagrangian formalism. It identifies fundamental principles of optimal resource allocation in GBA models of any size and complexity, including the analytical conditions that determine the set of active reactions at optimal growth. We identify from first principles the economic values of biochemical reactions, expressed as marginal changes in cellular growth rate; these economic values can be related to the costs and benefits of proteome allocation into the reactions catalysts. Our formulation also generalizes the concepts of Metabolic Control Analysis to models of growing cells. GM unifies and extends previous approaches of cellular modeling and analysis, putting forward a program to analyze cellular growth through the stationarity conditions of a Lagrangian function. GM thereby provides a general theoretical toolbox for the study of fundamental mathematical properties of balanced cellular growth.

biophysics↗

bioRxiv2022

The Epithelial Na+ Channel UNC-8 promotes an endocytic mechanism that recycles presynaptic components from old to new boutons in remodeling neurons

SummaryPresynaptic terminals are actively relocated during development to refine circuit function, but the underlying cell biological mechanisms are largely unknown. In C. elegans, the presynaptic boutons of GABAergic DD neurons are moved to new locations during early larval development. We show that developmentally regulated expression of a presynaptic Epithelial Na+ Channel (ENaC), UNC-8, promotes a Ca2+-dependent mechanism, resembling Activity-Dependent Bulk Endocytosis (ADBE), that dismantles presynaptic material for reassembly at nascent DD synapses. ADBE normally functions in highly active neurons to accelerate local recycling of synaptic vesicles. We show that DD presynaptic remodeling depends on canonical features of ADBE including elevated intracellular Ca2+, the phosphatase Calcineurin and its targets, dynamin and the F-BAR protein syndapin, and Arp2/3-driven actin polymerization. Thus, our findings suggest that a native mechanism (ADBE) for maintaining neurotransmitter release at local synapses has been repurposed, in this case, to dismantle presynaptic terminals for reassembly at new locations. HighlightsO_LIDeveloping GABAergic neurons dismantle presynaptic terminals for reassembly at new locations. C_LIO_LIThe DEG/ENaC protein, UNC-8, promotes presynaptic disassembly and recycling C_LIO_LICa2+-dependent endocytosis drives presynaptic disassembly and recycling to new boutons C_LI

neuroscience↗

bioRxiv2022

Microdissection and culturing of adult lateral entorhinal cortex layer II neurons from APP/PS1 Alzheimer model mice

BackgroundPrimary neuronal cultures enable cell-biological studies of Alzheimers disease (AD), albeit typically non-neuron-specific. The first cortical neurons affected in AD reside in layer II of the lateralmost part of the entorhinal cortex, and they undergo early accumulation of intracellular amyloid-{beta}, form subsequent tau pathology, and start degenerating pre-symptomatically. These vulnerable entorhinal neurons uniquely express the glycoprotein reelin and provide selective inputs to the hippocampal memory system. Gaining a more direct access to study these neurons is therefore highly relevant. New methodWe demonstrate a methodological approach for microdissection and long-term culturing of adult lateral entorhinal layer II-neurons from AD-model mice. ResultsWe maintain adult microdissected lateralmost entorhinal layer II-neurons beyond two months in culture. We show that they express neuronal markers, and that they are electrophysiologically active by 15 days in vitro and continuing beyond 2 months. Comparison with existing methodsPrimary neurons are typically harvested from embryonic or early postnatal brains because such neurons are easier to culture compared to adult neurons. Methods to culture adult primary neurons have been reported, however, to our knowledge, culturing of adult entorhinal subregion-specific primary neurons from AD-model animals has not been reported. ConclusionsOur methodological approach offers a window to study initial pathological changes in the AD disease-cascade. This includes the study of proteinopathy, single-neuron changes, and network-level dysfunction. HighlightsO_LIWe microdissect and culture neurons from layer II of the lateralmost part of the entorhinal cortex from adult AD model mice and littermate controls C_LIO_LIThese entorhinal neurons self-organize into networks, express reelin, NeuN and intracellular amyloid-{beta}. C_LIO_LIThe neurons are electrophysiologically active by day 15 in culture and remain viable beyond two months. C_LI

neuroscience↗

bioRxiv2022

Cerebral organoids expressing mutant actin genes reveal cellular mechanism underlying microcephalic cortical malformation

Actins are structural cytoskeletal proteins playing crucial roles in multiple cellular processes. Mutations in the ACTB and ACTG1 genes, encoding the ubiquitous beta- and gamma- cytoskeletal actin isoforms, respectively, cause a broad spectrum of neurodevelopmental disorders, with microcephaly as the most frequent one. Here we used patient-derived cerebral organoids to gain insight into the pathogenesis underlying this cortical malformation. Cerebral organoids from induced pluripotent stem cells (iPSCs) of patients with the Baraitser-Winter- CerebroFrontoFacial syndrome (BWCFF-S), expressing either an ACTB or an ACTG1 missense mutation, are reduced in size, showing a thinner ventricular zone (VZ). This decrease in VZ progenitors is in turn associated with a striking change in the orientation of their cleavage plane from predominantly vertical (control) to predominantly horizontal (BWCFF-S), which is incompatible with increasing VZ progenitor abundance. Various cytoskeletal and morphological irregularities of BWCFF-S VZ progenitors, notably in the apical region of these cells, seemingly contribute to their predominantly horizontal cleavage plane orientation. Our results provide insight into the cell biological basis of the microcephaly associated with BWCFF-S caused by actin mutations.

neuroscience↗

bioRxiv2022

Reanalysis of mtDNA mutations of human primordial germ cells (PGCs) reveals significant contamination with NUMTs, and challenges predominantly purifying selection in late PGCs

The resilience of the mitochondrial genome (mtDNA) to a high mutational pressure depends, in part, on negative purifying selection in the germline. A paradigm in the field has been that such selection, at least in part, takes place in primordial germ cells (PGCs). Specifically, Floros et al. (Nature Cell Biology 20: 144-51) reported an increase in the synonymity of mtDNA mutations (a sign of purifying selection) between pooled early-stage and late-stage PGCs. We re-analyzed Floros et al. pooled PGC data and noticed that their mutational dataset was significantly contaminated with single nucleotide variants (SNVs) derived from a nuclear sequence of mtDNA origin (NUMT) located on chromosome 5. Contamination was caused by co-amplification of the NUMT sequence by cross-specific PCR primers. Importantly, when we removed NUMT-derived SNVs, the evidence of purifying selection was abolished. In addition to pooled PGCs, Floros et al. reported the analysis of single late-stage PGCs, which were amplified with different sets of PCR primers that cannot amplify the NUMT sequence. Accordingly, we found no NUMT-derived SNVs among single PGCs mutations. Interestingly, single PGC mutations show a decrease of synonymity with increased intracellular mutant fraction. This pattern is incompatible with predominantly negative selection. This suggests that germline selection of mtDNA mutations is a complex phenomenon and that the part of this process that takes place in PGCs may be predominantly positive. However counterintuitive, positive germline selection of detrimental mtDNA mutations has been reported previously and potentially may be evolutionarily advantageous.

genomics↗

bioRxiv2022

Mirage2's high-quality spliced protein-to-genome mappings produce accurate multiple-sequence alignments of isoforms

The organization of homologous protein sequences into multiple sequence alignments (MSAs) is a cornerstone of modern analysis of proteins. Recent focus on the importance of alternatively-spliced isoforms in disease and cell biology has highlighted the need for MSA software that can appropriately account for isoforms and the exon-length insertions or deletions that isoforms may have relative to each other. We previously developed Mirage, a software package for generating MSAs for isoforms spanning multiple species. Here, we present Mirage2, which retains the fundamental algorithms of the original Mirage implementation while providing substantially improved translated mapping and improving several aspects of usability. We demonstrate that Mirage2 is highly effective at mapping proteins to their encoding exons, and that these protein-genome mappings lead to extremely accurate intron-aware alignments. Additionally, Mirage2 implements a number of engineering improvements that simplify installation and use.

bioinformatics↗

bioRxiv2022

BRCA2 chaperones RAD51 to single molecules of RPA-coated ssDNA

Mutations in the breast cancer susceptibility gene, BRCA2, greatly increase an individuals lifetime risk of developing breast and ovarian cancers. BRCA2 suppresses tumor formation by potentiating DNA repair via homologous recombination. Central to recombination is the assembly of a RAD51 nucleoprotein filament, which forms on single-stranded DNA (ssDNA) generated at or near the site of chromosomal damage. However, Replication Protein-A (RPA) rapidly binds to and continuously sequesters this ssDNA, imposing a kinetic barrier to RAD51 filament assembly that suppresses unregulated recombination. Recombination mediator proteins--of which BRCA2 is the defining member in humans --alleviate this kinetic barrier to catalyze RAD51 filament formation. We combined microfluidics, microscopy, and micromanipulation to directly measure both the binding of full-length BRCA2 to--and the assembly of RAD51 filaments on--a region of RPA-coated ssDNA within individual DNA molecules designed to mimic a resected DNA lesion common in replication-coupled recombinational repair. We demonstrate that a dimer of RAD51 is minimally required for spontaneous nucleation; however, growth self-terminates below the diffraction limit. BRCA2 accelerates nucleation of RAD51 to a rate that approaches the rapid association of RAD51 to naked ssDNA, thereby overcoming the kinetic block imposed by RPA. Furthermore, BRCA2 eliminates the need for the rate-limiting nucleation of RAD51 by chaperoning a short pre-assembled RAD51 filament onto the ssDNA complexed with RPA. Therefore, BRCA2 regulates recombination by initiating RAD51 filament formation. SignificanceDespite decades of genetic and cell biological studies, mechanistic biochemical analyses of human BRCA2 function in recombinational DNA repair have only been possible since the purification of full-length BRCA2. These mechanistic studies crucially inform with respect to the molecular function of BRCA2 in genome maintenance. Here, we use single-molecule methods to visualize the assembly of RAD51 on individual RPA-coated ssDNA molecules and to see how this process is regulated by the tumor suppressor protein, BRCA2. We show that BRCA2 serves as a chaperone to nucleate RAD51 and deliver it to RPA-coated ssDNA. This work advances understanding of the molecular functions of BRCA2 and, consequently, the molecular etiology of breast cancer in an important way.

biochemistry↗

bioRxiv2022

Correlation Single Molecule Localization Microscopy (corrSMLM) Detects Fortunate Molecules for Better Localization Precision and High Signal-to-Noise Ratio

Single-molecule localization microscopy can decipher fine details that are otherwise not possible using diffraction-limited microscopy. Often the reconstructed super-resolved image contains unwanted noise, random background and is prone to false detections. This cause spurious data that necessitates several trials, multiple experimentations, and repeated preparation of specimens. Moreover, this is not suitable for experiments that require time-lapse imaging and real-time microscopy. To overcome these limitations, we propose a technique (corrSMLM) that can recognize and detect fortunate molecules (molecules with long fluorescence cycles) from the recorded data. The technique uses correlation between two or more consecutive frames to extract fortunate molecules that blink for longer than the standard blinking time. Accordingly, strongly-correlated spots (single molecule signatures) are compared in consecutive frames, followed by data integration (mean centroid position and the total number of photons) and estimation of critical parameters (position and localization precision). The technique addresses two major problems that plague SMLM : (1) random noise due to false detection that contributes to strong background, and (2) poor localization precision offered by standard SMLM techniques. On the brighter side, corrSMLM allows only fortunate molecules contribute to the super-resolved image, thereby suppressing the background and improving localization precision by a factor of 2-4 times as compared to standard SMLM. To substantiate, corrSMLM is used for imaging fixed cell samples (Dendra2-Actin and Dendra2-Tubulin transfected NIH3T3 cells). Results show multi-fold reduction in noise and localization precision with a marked improvement in overall resolution and SBR. We anticipate corrSMLM to improve overall image quality and offer a better understanding of single molecule dynamics in cell biology.

biophysics↗

bioRxiv2023

Wetting by biomolecular condensates increases membrane lipid packing and dehydration

Membrane wetting by biomolecular condensates recently emerged as a key phenomenon in cell biology, playing an important role in a diverse range of processes across different organisms. However, an understanding of the molecular mechanisms behind condensate formation and interaction with lipid membranes is still missing. To study this, we exploited the properties of the dyes ACDAN and LAURDAN as nano-environmental sensors in combination with phasor analysis of hyperspectral and lifetime imaging microscopy. Using glycinin as a model condensate-forming protein and giant vesicles as model membranes, we obtained vital information on the process of condensate formation and membrane wetting. Our results reveal that glycinin condensates display differences in water dynamics when changing the salinity of the medium as a consequence of rearrangements in the secondary structure of the protein. Remarkably, analysis of membrane-condensates interaction with protein as well as polymer condensates indicated a correlation between increased wetting affinity and enhanced lipid packing. This is demonstrated by a decrease in the dipolar relaxation of water across all membrane-condensate systems, suggesting a general mechanism to tune membrane packing by condensate wetting.

biophysics↗

bioRxiv2023

Limits on Inferring Gene Regulatory Networks Subjected to Different Noise Mechanisms

One of the most difficult and pressing problems in computational cell biology is the inference of gene regulatory network structure from transcriptomic data. Benchmarking network inference methods on model organism datasets has yielded mixed results, in which the methods sometimes perform reasonably well and other times fail to outperform random guessing. In this paper, we analyze the feasibility of network inference under different noise conditions using stochastic simulations. We show that gene regulatory interactions with extrinsic noise appear to be more amenable to inference than those with only intrinsic noise, especially when the extrinsic noise causes the system to switch between distinct expression states. Furthermore, we analyze the problem of false positives between genes that have no direct interaction but share a common upstream regulator, and explore a strategy for distinguishing between these false positives and true interactions based on noise profiles of mRNA expression levels. Lastly, we derive mathematical formulas for the mRNA noise levels and correlation using moment analysis techniques, and show how these levels change as the mean mRNA expression level changes.

systems biology↗

bioRxiv2023

Artificial channel separation of monochrome multi-structure microscopy image

Fluorescence microscopy is a powerful tool for life sciences, which employs fluorescent tags to label and observe cellular structures and their dynamics. However, due to the spectral overlap between different dyes, a limited number of structures can be separately labeled and imaged for live cell applications. Here we propose a novel double-structure network (DBSN) that consists of multiple connected models, which can extract six subcellular structures from three images with only two separate fluorescent labels. DBSN combines the intensity-balance models to compensate for uneven fluorescent labels for different structures and the structure-separation models to extract multiple different structures with the same fluorescent labels. Therefore, DBSN permits the imaging of multiple structures with only one fluorescent label. It significantly reduces photobleaching, breaks the bottleneck of the existing technologies, and would have vast applications in cell biology.

biophysics↗

bioRxiv2023

Metagenome diversity illuminates origins of pathogen effectors

Recent metagenome assembled genome (MAG) analyses have profoundly impacted Rickettsiology systematics. Discovery of basal lineages (Mitibacteraceae and Athabascaceae) with predicted extracellular lifestyles reveals an evolutionary timepoint for the transition to host dependency, which occurred independent of mitochondrial evolution. Notably, these basal rickettsiae carry the Rickettsiales vir homolog (rvh) type IV secretion system (T4SS) and purportedly use rvh to kill congener microbes rather than parasitize host cells as described for derived rickettsial pathogens. MAG analysis also substantially increased diversity for genus Rickettsia and delineated a basal lineage (Tisiphia) that stands to inform on the rise of human pathogens from protist and invertebrate endosymbionts. Herein, we probed Rickettsiales MAG and genomic diversity for the distribution of Rickettsia rvh effectors to ascertain their origins. A sparse distribution of most Rickettsia rvh effectors outside of Rickettsiaceae lineages indicates unique rvh evolution from basal extracellular species and other rickettsial families. Remarkably, nearly every effector was found in multiple divergent forms with variable architectures, illuminating profound roles for gene duplication and recombination in shaping effector repertoires in Rickettsia pathogens. Lateral gene transfer plays a prominent role shaping the rvh effector landscape, as evinced by the discover of many effectors on plasmids and conjugative transposons, as well as pervasive effector gene exchange between Rickettsia and Legionella species. Our study exemplifies how MAGs can provide incredible insight on the origins of pathogen effectors and how their architectural modifications become tailored to eukaryotic host cell biology.

microbiology↗

bioRxiv2023

The selective estrogen receptor modulator clomiphene inhibits sterol biosynthesis in Arabidopsis thaliana

Sterols are produced via complex, multistep biosynthetic pathways involving similar enzymatic conversions in plants, animals and fungi, yielding a variety of sterol metabolites with slightly different chemical properties to exert diverse and specific functions. The role of plant sterols has been studied in the context of cell biological processes, signaling and overall plant development, mainly based on mutants. Due to their essential nature, genetic interference with their function causes pleiotropic developmental defects. An important alternative is to use a pharmacological approach. However, the current toolset for manipulating sterol biosynthesis in plants remains limited. Here, we probed a collection of inhibitors of mammalian cholesterol biosynthesis to identify new inhibitors of plant sterol biosynthesis. We provide evidence that imidazole-type fungicides, bifonazole, clotrimazole and econazole inhibit the obtusifoliol 14-demethylase CYP51, that is highly conserved among eukaryotes. Surprisingly, we found that the selective estrogen receptor modulator, clomiphene, inhibits sterol biosynthesis, in part by inhibiting the plant-specific cyclopropyl-cycloisomerase CPI1. These results demonstrate that rescreening of the animal sterol biosynthesis pharmacology is an easy approach for identifying novel inhibitors of plant sterol biosynthesis. Such molecules can be used as entry points for the development of plant-specific inhibitors of sterol biosynthesis that can be used in agriculture.

plant biology↗

bioRxiv2023

Engineering Nanomolar Potent Protein-based Inhibitors for Papain-like Protease Guided by Residue Correlation Network

Identifying critical residues in protein-protein binding and efficiently designing stable and specific protein binders is challenging. In addition to direct contacts in a protein-protein binding interface, our study employs computation modeling to reveal the essential network of residue interaction and dihedral angle correlation critical in protein-protein recognition. We propose that mutating residues regions exhibited highly correlated motions within the interaction network can efficiently optimize protein-protein interactions to create tight and selective protein binders. We validated our strategy using ubiquitin (Ub) and MERS coronaviral papain-like protease (PLpro) complexes, where Ub is one central player in many cellular functions and PLpro is an antiviral drug target. Our designed UbV with 3 mutated residues resulted in a [~]3,500-fold increase in functional inhibition, compared with the wild-type Ub. Further optimization by incorporating 2 more residues within the network, the 5-point mutant achieved a KD of 1.5 nM and IC50 of 9.7 nM. The modification led to a 27,500-fold and 5,500-fold enhancements in affinity and potency, respectively, as well as improved selectivity, without destabilizing the UbV structure. Our study highlights residue correlation and interaction networks in protein-protein interaction, introduces an effective approach to design high affinity protein binders for cell biology and future therapeutics solutions.

biophysics↗

bioRxiv2023

Synthesis and validation of click-modified of NOD1/2 agonists

NOD1 and NOD2 sense small bacterial peptidoglycan fragments often called muropeptides. These muropeptides include iE-DAP and MDP, the minimal agonists for NOD1 and NOD2, respectively. Here, we synthesized and validated alkyne-modified muropeptides, iE-DAP-Alk and MDP-Alk, for use in click-chemistry reactions. While it has long been known that many cell types respond to extracellular exposure to muropeptides, it is unclear how these innate immune activators access their cytosolic innate immune receptors, NOD1 and NOD2. The subcellular trafficking and transport mechanisms by which muropeptides access these cytosolic innate immune receptors are a major gap in our understanding of these critical host responses. The clickchemistry-enabled agonists developed here will be particularly powerful to decipher the underlying cell biology and biochemistry of NOD1 and NOD2 innate immune sensing.

immunology↗

bioRxiv2023

Membrane curvature sensing by model biomolecular condensates

Biomolecular condensates (BCs) are fluid droplets that form in biological cells by liquid-liquid phase separation. Their major components are intrinsically disordered proteins. Vast attention has been given in recent years to BCs inside the cytosol and nucleus. BCs at the cell membrane have not been studied to the same extent so far. However, recent studies provide increasingly more examples of interfaces between BCs and membranes which function as platforms for diverse biomolecular processes. Galectin-3, for example, is known to mediate clathrin-independent endocytosis and has been recently shown to undergo liquid-liquid phase separation, but the function of BCs of galectin-3 in endocytic pit formation is unknown. Here, we use dissipative particle dynamics simulations to study a generic coarse-grained model for BCs interacting with lipid membranes. In analogy to galectin-3, we consider polymers comprising two segments - one of them mediates multivalent attractive interactions between the polymers, and the other one has affinity for association with specific lipid head groups. When these polymers are brought into contact with a multi-component membrane, they spontaneously assemble into droplets and, simultaneously, induce lateral separation of lipids within the membrane. Interestingly, we find that if the membrane is bent, the polymer droplets localize at membrane regions curved inward. Although the polymers have no particular shape or intrinsic curvature, they appear to sense membrane curvature when clustered at the membrane. Our results indicate toward a generic mechanism of membrane curvature sensing by BCs involved in such processes as endocytosis.

biophysics↗

bioRxiv2023

Lattice-Boltzmann Modelling for Inertial Particle Microfluidics Applications -A Tutorial Review

Inertial particle microfluidics (IPMF) is an emerging technology for the manipulation and separation of microparticles and biological cells. Since the flow physics of IPMF is complex and experimental studies are often time-consuming or costly, computer simulations can offer complementary insights. In this tutorial review, we provide a guide for researchers who are exploring the potential of the lattice-Boltzmann (LB) method for simulating IPMF applications. We first review the existing literature to establish the state of the art of LB-based IPMF modelling. After summarising the physics of IPMF, we then present related methods used in LB models for IPMF and show several case studies of LB simulations for a range of IPMF scenarios. Finally, we conclude with an outlook and several proposed research directions.

biophysics↗

bioRxiv2023

Active Transport by Cytoplasmic Dynein Maintains the Localization of MAP-2 in Developing Neurons

MAP2 has been widely used as a marker of neuronal dendrites because of its extensive restriction in the somatodendritic region of neurons. Despite that, how the precise localization of such a soluble protein is established and maintained against thermal forces and diffusion has been elusive and long remained a mystery in neuroscience. In this study, we aimed to uncover the mechanism behind how MAP2 is retained in the somatodendritic region. Using GFP-tagged MAP2 expressed in cultured hippocampal neurons, we discovered a crucial protein region responsible for the localization of MAP2, the serine/proline-rich (S/P) region. Our pulse-chase live-cell imaging revealed the slow but steady migration of MAP2 toward distal dendrites, which was not observed in a MAP2 mutant lacking the S/P region, indicating that S/P-dependent transport is vital for the proper localization of MAP2. Furthermore, our experiments using an inhibitor of cytoplasmic Dynein, ciliobrevin D, as well as Dynein knockdown, showed that cytoplasmic Dynein is involved in the transport of MAP2 in dendrites. We also found that Dynein complex binds to MAP2 through the S/P region in heterologous cells. Using mathematical modeling based on experimental data, we confirmed that an intermittent active transport mechanism is essential. Thus, we propose that the cytoplasmic Dynein recruits and transports free MAP2 toward distal dendrites, thereby maintaining the precise dendritic localization of MAP2 in neurons. Our findings shed light on the previously unknown mechanism behind MAP2 localization and provide a new direction for soluble protein trafficking research in the field of cell biology of neurons.

neuroscience↗