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Background: Synaptic and neuronal loss contribute to network dysfunction and disability in multiple sclerosis (MS). However, it is unknown whether excitatory or inhibitory synapses and neurons are more vulnerable and how their losses impact network functioning. Objective: To quantify excitatory and inhibitory synapses and neurons and to investigate how synaptic loss affects network functioning through computational modeling. Methods: Using immunofluorescent staining and confocal microscopy, densities of glutamatergic and GABAergic synapses and neurons were compared between post-mortem MS and non-neurological control cases. Then, a corticothalamic biophysical model was employed to study how MS-induced excitatory and inhibitory synaptic loss affect network functioning. Results: In layer VI of normal-appearing MS cortex, excitatory and inhibitory synaptic densities were significantly lower than controls (reductions up to 14.9%), but demyelinated cortex showed larger losses of inhibitory synapses (29%). In our computational model, reducing inhibitory synapses impacted the network most, leading to a disinhibitory increase in neuronal activity and connectivity. Conclusion: In MS, excitatory and inhibitory synaptic losses were observed, predominantly for inhibitory synapses in demyelinated cortex. Inhibitory synaptic loss affected network functioning most, leading to increased neuronal activity and connectivity. As network disinhibition relates to cognitive impairment, inhibitory synaptic loss seems particularly relevant in MS.

Background and Objectives:In multiple sclerosis (MS), functional networks undergo continuous reconfiguration and topography changes over the disease course. Here, we aimed to investigate functional networks topography abnormalities in MS and their association with disease phenotype, clinical and cognitive disability, and structural MRI damage.Methods:This is a multi-centre cross-sectional study. Enrolled subjects performed MRI, neurological and neuropsychological assessment. Network topography was assessed on resting state fMRI data using degree centrality, which counted the number of functional connections of each grey matter voxel with the rest of the brain. SPM12 age-, sex-, scanner-, framewise displacement and grey matter volume adjusted ANOVA and multivariable regressions were employed (pResults:We enrolled 971 patients with MS (624 females; mean age=43.1 ±11.8 years; 47 clinically isolated syndrome [CIS], 704 relapsing-remitting [RRMS], 145 secondary progressive [SPMS] and 75 primary progressive [PPMS]) and 330 healthy controls (186 females; mean age=41.2 ± 13.3 years). Patients with MS showed reduced centrality in the salience and sensorimotor networks as well as increased centrality in the default mode network vs controls (pvs controls and in RRMS vs CIS (pvs RRMS (pvs controls (pvs cognitively preserved patients (pDiscussion:Patients with MS presented with reduced centrality in the salience and primary sensorimotor networks and increased centrality in the default mode network. Centrality abnormalities were specific for different disease phenotypes and associated with clinical and cognitive disability, hence suggesting that voxel-wise centrality analysis may reflect pathological substrates underpinning disability accrual.

Background: Cognitive training elicits mild-to-moderate improvements in cognitive functioning in people with multiple sclerosis (PwMS), although response heterogeneity limits overall effectiveness. Objective: To identify patient characteristics associated with response and non-response to cognitive training. Methods: Eighty-two PwMS were randomized into a 7-week attention training ( n = 58, age = 48.4 ± 10.2 years) or a waiting-list control group ( n = 24, age = 48.5 ± 9.4 years). Structural and functional magnetic resonance imaging (MRI) was obtained at baseline and post-intervention. Twenty-one healthy controls (HCs, age = 50.27 ± 10.15 years) were included at baseline. Responders were defined with a reliable change index of 1.64 on at least 2/6 cognitive domains. General linear models and logistic regression were applied. Results: Responders ( n = 36) and non-responders ( n = 22) did not differ on demographics, clinical variables and baseline cognition and structural MRI. However, non-responders exhibited a higher baseline functional connectivity (FC) between the default-mode network (DMN) and the ventral attention network (VAN), compared with responders ( p = 0.018) and HCs ( p = 0.001). Conversely, responders exhibited no significant baseline differences in FC compared with HCs. Response to cognitive training was predicted by lower DMN-VAN FC ( p = 0.004) and DMN-frontoparietal FC ( p = 0.029) (Nagelkerke R2 = 0.25). Conclusion: An intact pre-intervention FC is associated with cognitive training responsivity in pwMS, suggesting a window of opportunity for successful cognitive interventions.

Background: Cognitive impairment occurs in the earliest stages of multiple sclerosis (MS) together with altered functional connectivity (FC). Objective: The aim of this study was to investigate the evolution of dynamic FC states in early MS and their role in shaping cognitive decline. Methods: Overall, 32 patients were enrolled after their first neurological episode suggestive of MS and underwent cognitive evaluation and resting-state functional MRI (fMRI) over 5 years. In addition, 28 healthy controls were included at baseline. Results: Cognitive performance was stable during the first year and declined after 5 years. At baseline, the number of transitions between states was lower in MS compared to controls ( p = 0.01). Over time, frequency of high FC states decreased in patients ( p = 0.047) and increased in state with low FC ( p = 0.035). Cognitive performance at Year 5 was best predicted by the mean connectivity of high FC state at Year 1. Conclusion: Patients with early MS showed reduced functional network dynamics at baseline. Longitudinal changes showed longer time spent in a state of low FC but less time spent and more connectivity disturbance in more integrative states with high within- and between-network FC. Disturbed FC within this more integrative state was predictive of future cognitive decline.

© 2022 Elsevier B.V.Background: Multiple sclerosis (MS) is a complex disease of the central nervous system involving several types of brain pathology that are difficult to characterize using conventional imaging methods. New method: We originated novel texture analysis and machine learning approaches for classifying MS pathology subtypes as compared with 2 common advanced MRI measures: magnetization transfer ratio (MTR) and fractional anisotropy (FA). Texture analysis used an optimized grey level co-occurrence matrix method with histology-informed 7T T2-weighted magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) from 15 MS and 12 control brain specimens. DTI analysis took an innovative approach that assessed the texture across diffusion directions upsampled from 30 to 90. Tissue types included de- and re-myelinated lesions and normal-appearing areas in both grey and white matter, and diffusely abnormal white matter. Data analyses were stepwise, including: (1) group-wise classification using random forest algorithms based on all or individual imaging parameters; (2) parameter importance ranking; and (3) pairwise analysis using top-ranked features. Results: Texture analysis performed better than MTR and FA, with T2 texture performed the best. T2 texture measures ranked the highest in classifying most grey and white matter tissue types, including de- versus re-myelinated lesions and among grey matter lesion subtypes (accuracy=0.86–0.59; kappa=0.60–0.41). Diffusion texture best differentiated normal appearing and control white matter. Comparison with existing methods: There is no established method in imaging for differentiating MS pathology subtypes. In combined texture analysis and machine learning studies, there is also no direct evidence comparing conventional with advanced MRI measures for assessing MS pathology. Further, this study is unique in conducting innovative texture analysis with DTI following data-augmentation using robust methods. Conclusions: T2 and diffusion MRI texture analysis integrated with machine learning may be valuable approaches for characterizing MS pathology.

We study partner preferences for education and attractiveness by conducting a field experiment in a large online dating market. Fictitious profiles with manipulated levels of education and photo attractiveness send random invitations for a serious relationship to real online daters. We find that men and women prefer attractive over unattractive profiles, regardless of own attractiveness. We also find that high-educated men prefer low-educated over high-educated profiles as much as high-educated women prefer high-educated over low-educated profiles. With preferences similar for attractiveness but opposite for education, two groups are more likely to stay single: unattractive, low-educated men and unattractive, high-educated women.

Research summary: Women continue to be disproportionately underrepresented in new venture creation. We investigate whether and how founders can differently influence future entrepreneurial career choices of their male and female joiners. Using a large sample of startup firms with personnel where founders interact closely with joiners, we demonstrate that founders have a strong influence on a joiner's entrepreneurial career choice if both are female. We find empirical support for role modeling as a key underlying mechanism, accounting for alternative explanations such as selective matching based on gender and push-driven factors. These findings increase our understanding of the roles of socialization and organizational context in shaping the career outcomes of employees, and provide evidence of a multiplier effect of female entrepreneurs. Managerial summary: Women are less likely to be entrepreneurs than men. We investigate whether working in a startup founded by a woman instead of a man influences individuals' decision to become an entrepreneur later. We find this to be the case for women. This result is best explained by female founders acting as role models for their female employees in male-dominated domains. Female founders able to break gender stereotypes seem to have an influence on the career choices of their female employees, especially among those who have lacked contact with entrepreneurs. Moreover, this influence is stronger if the female founder and employee have similar backgrounds. These findings confirm the importance of social interactions at work and suggest new ways to inspire more women to launch startups.

In a large survey (n = 1928), we examine whether entrepreneurs differ in their decision-making style from managers and employees. Besides two self-reported measures taken from psychology, we build on Rubinstein (Quarterly Journal of Economics 131: 859–890, 2016) by including two behavioral measures derived from response times and the nature of the strategic choices made. Supporting conventional wisdom, entrepreneurs report a stronger Faith in Intuition than others. Their actual choices are partly in line with this: entrepreneurs make indeed more intuitive choices than managers, but are equally intuitive as employees. At the same time, entrepreneurs have response times and a self-reported Need for Cognition that exceeds those of employees. Together, these findings tentatively suggest that entrepreneurs start from a stronger predisposition to choose the intuitive action, but share with managers that they take more time to think things over and thereby are more inclined to move away from their instant intuitive choice.

The plasma membrane of cells has a complex architecture based on the bidimensional liquid-crystalline bilayer arrangement of phospho- and sphingolipids, which in turn embeds several proteins and is connected to the cytoskeleton. Several studies highlight the spatial membrane organization into more ordered (L o or lipid raft) and more disordered (L d ) domains. We here report on a fluorescent analog of the green fluorescent protein chromophore that, when conjugated to a phospholipid, enables the quantification of the L o and L d domains in living cells on account of its large fluorescence lifetime variation in the two phases. The domain composition is straightforwardly obtained by the phasor approach to confocal fluorescence lifetime imaging, a graphical method that does not require global fitting of the fluorescence decay in every spatial position of the sample. Our imaging strategy was applied to recover the domain composition in human oligodendrocytes at rest and under treatment with galactosylsphingosine (psychosine). Exogenous psychosine administration recapitulates many of the molecular fingerprints of a severe neurological disease, globoid cell leukodystrophy, better known as Krabbe disease. We found out that psychosine progressively destabilizes plasma membrane, as witnessed by a shrinking of the L o fraction. The unchanged levels of galactosyl ceramidase, i.e., the enzyme lacking in Krabbe disease, upon psychosine treatment suggest that psychosine alters the plasma membrane structure by direct physical effect, as also recently demonstrated in model membranes.

Protein-membrane interactions play key roles in essential cellular processes; studying these interactions in the cell is a challenging task of modern biophysical chemistry. A prominent example is the interaction of human α-synuclein (αS) with negatively charged membranes. It has been well-studied in vitro, but in spite of the huge amount of lipid membranes in the crowded environment of biological cells, to date, no interactions have been detected in cells. Here, we use rapid-scan (RS) electron paramagnetic resonance (EPR) spectroscopy to study αS interactions with negatively charged vesicles in vitro and upon transfection of the protein and lipid vesicles into model cells, i.e., oocytes of Xenopus laevis. We show that protein-vesicle interactions are reflected in RS spectra in vitro and in cells, which enables time-resolved monitoring of protein-membrane interaction upon transfection into cells. Our data suggest binding of a small fraction of αS to endogenous membranes.

Empirical studies show low pecuniary returns as a result of switching from wage employment to entrepreneurship. We reconsider the pecuniary gains attributable to this switching by using an event study design and a variety of identifying assumptions aimed at obtaining robust estimates of causal effects. An earnings equation is estimated on data covering the whole Norwegian population of individuals matched to the entire population of firms established in the period 2002–2013. We find unambiguous evidence that the average returns to entrepreneurship are negative for individuals entering entrepreneurship through self-employment and positive, but modest for incorporated startups. The positive returns to incorporated entrepreneurship comes at the cost of much higher income risk: incorporated entrepreneurs experience an increase in the standard deviation of log earnings growth of almost 75% compared to remaining in wage employment. While there is a huge gender gap in entrepreneurship rates, we find no significant difference between men and women in the average returns to entrepreneurship.

Thioflavin-T (ThT) is the most commonly used fluorescent dye for following amyloid formation semi-quantitatively in vitro, specifically probing the fibrillar cross-β-sheet content. In recent years, structural polymorphism of amyloid fibrils has been shown to be an important aspect of amyloid formation, both in vitro and in neurodegenerative diseases. Therefore, understanding ThT–amyloid interactions in the context of structural polymorphism of amyloids is necessary for correct interpretation of ThT fluorescence data. Here we study the influence of fibril morphology on ThT fluorescence and ThT binding sites, with two morphologically distinct but chemically identical α-synuclein polymorphs. In ThT fluorescence assays the two polymorphs show type-specific fluorescence intensity behaviour although their β-sheet content has been shown to be similar. Further, fluorescence lifetime measurements of fibril-bound ThT reveal the presence of at least two qualitatively different ThT binding sites on the polymorphs. The relative distributions of the binding sites on the fibril surfaces appear to be morphology dependent, thus determining the observed polymorph-specific ThT fluorescence intensities. These results, highlighting the role of fibril morphology in ThT-based amyloid studies, underline the relevance of polymorphs in ThT–amyloid interaction and can explain the variability often observed in ThT amyloid binding assays.

C-terminal truncations of monomeric wild-type alpha-synuclein (henceforth WT-αS) have been shown to enhance the formation of amyloid aggregates both in vivo and in vitro and have been associated with accelerated progression of Parkinson’s disease (PD). The correlation with PD may not solely be a result of faster aggregation, but also of which fibril polymorphs are preferentially formed when the C-terminal residues are deleted. Considering that different polymorphs are known to result in distinct pathologies, it is important to understand how these truncations affect the organization of αS into fibrils. Here we present high-resolution microscopy and advanced vibrational spectroscopy studies that indicate that the C-terminal truncation variant of αS, lacking residues 109–140 (henceforth referred to as 1–108-αS), forms amyloid fibrils with a distinct structure and morphology. The 1–108-αS fibrils have a unique negative circular dichroism band at ∼230 nm, a feature that differs from the canonical ∼218 nm band usually observed for amyloid fibrils. We show evidence that 1–108-αS fibrils consist of strongly twisted β-sheets with an increased inter-β-sheet distance and a higher solvent exposure than WT-αS fibrils, which is also indicated by the pronounced differences in the 1D-IR (FTIR), 2D-IR, and vibrational circular dichroism spectra. As a result of their distinct β-sheet structure, 1–108-αS fibrils resist incorporation of WT-αS monomers.

Although the function of biopolymer hydrogels in nature depends on structural anisotropy at mesoscopic length scales, the self-assembly of such anisotropic structures in vitro is challenging. Here we show that fibrils of the protein α-synuclein spontaneously self-assemble into structurally anisotropic hydrogel particles. While the fibrils in the interior of these supra-fibrillar aggregates (SFAs) are randomly oriented, the fibrils in the periphery prefer to cross neighboring fibrils at high angles. This difference in organization coincides with a significant difference in polarity of the environment in the central and peripheral parts of the SFA. We rationalize the structural anisotropy of SFAs in the light of the observation that αS fibrils bind a substantial amount of counterions. We propose that, with the progress of protein polymerization into fibrils, this binding of counterions changes the ionic environment which triggers a change in fibril organization resulting in anisotropy in the architecture of hydrogel particles.

The interaction of α‐synuclein (αS) with membranes is thought to be critical in the etiology of Parkinson's disease. Besides oligomeric αS aggregates that possibly form membrane pores, the aggregation of αS into amyloid fibrils has been reported to disrupt membranes. The mechanism by which aggregation affects the integrity of membranes is, however, unknown. Here, we show that whereas mature αS fibrils only weakly adhere to POPC/POPG giant unilamellar vesicles (GUVs), fibrillization of αS on the membrane results in large‐scale membrane remodeling. Fibrils that grow on the vesicle surface stiffen the membrane and make the initially spherical membrane become polyhedral. Additionally, membrane‐attached fibrils extract lipids. The lipid extraction and membrane remodeling of growing fibrils can consume the complete bilayer surface and results in loss of vesicle content. These observations suggest that there are several mechanisms by which growing fibrils can disrupt membrane function.

The intrinsically disordered human protein alpha-Synuclein (αS) has a prominent role in Parkinson's disease (PD) pathology. Several familial variants of αS are correlated with inherited PD. Disease mutations have been shown to have an impact on lipid membrane binding. Here, using electron paramagnetic resonance spectroscopy in combination with site-directed spin labeling, we show that familial PD-associated variants are structurally defective in membrane binding and alter the local binding properties of the protein. published

Amyloid polymorphs have become one of the focal points of molecular studies of neurodegenerative diseases like Parkinson's disease. Due to their distinct biochemical properties and prion-like characteristics, insights into the molecular origin and stability of amyloid polymorphs over time are crucial for understanding the potential role of amyloid polymorphism in these diseases. Here, we systematically study the fibrillization of recombinantly produced human α-synuclein (αSyn) over an extended period of time to unravel the origin and temporal evolution of polymorphism. We follow morphological changes in the same fibril sample with atomic force microscopy over a period of 1 year. We show that wild-type (wt) αSyn fibrils undergo a slow maturation over time after reaching the plateau phase of aggregation (as detected in a Thioflavin-T fluorescence assay). This maturation, visualized by changes in the fibril periodicity over time, is absent in the disease mutant fibrils. The β-sheet content of the plateau phase and matured fibrils, obtained using Fourier transform infrared spectroscopy, is however similar for the αSyn protein sequences, suggesting that the morphological changes in wt αSyn fibrils are tertiary or quaternary in origin. Furthermore, results from a reversibility assay show that the plateau phase fibrils do not disassemble over time. Together, the observed changes in the periodicity distributions and stability of the fibrillar core over time point toward two distinct mechanisms that determine the morphology of wt αSyn fibrils: competitive growth between different polymorphs during the fibrillization phase followed by a process wherein fibrils undergo slow maturation or annealing.

Phagocytosis is an important process of the immune system by which pathogens are internalized and eliminated by phagocytic cells. Upon internalization, the phagosome matures and acidifies while being transported in a centripetal fashion. In this chapter, we describe protocols for simultaneous imaging of phagosomal acidification as well as their spatial manipulation by magnetic tweezers. First, we describe the protocols for functionalization of magnetic microbeads with pH-sensitive dyes and pH calibration of these particles. We also describe the preparation of magnetic tweezers and the calibration of forces that can be generated by these tweezers. We provide details of the design of the custom electrical and optical setup used for simultaneous imaging of phagosomal pH and phagosome's location. Finally, we provide a detailed description of the data analysis methodology.

Under aggregation-prone conditions, soluble amyloidogenic protein monomers can self-assemble into fibrils or they can fibrillize on preformed fibrillar seeds (seeded aggregation). Seeded aggregations are known to propagate the morphology of the seeds in the event of cross-seeding. However, not all proteins are known to cross-seed aggregation. Cross-seeding has been proposed to be restricted either because of differences in the protein sequences or because of conformations between the seeds and the soluble monomers. Here, we examine cross-seeding efficiency between three α-synuclein sequences, wild-type, A30P, and A53T, each varying in only one or two amino acids but forming morphologically distinct fibrils. Results from bulk Thioflavin-T measurements, monomer incorporation quantification, single fibril fluorescence microscopy, and atomic force microscopy show that under the given solution conditions conformity between the conformation of seeds and monomers is essential for seed elongation. Moreover, elongation characteristics of the seeds are defined by the type of seed.

Human alpha-synuclein (alpha S) has been shown to be N terminally acetylated in its physiological state. This modification is proposed to modulate the function and aggregation of alpha S into amyloid fibrils. Using bacterially expressed acetylated-alpha S (NTAc-alpha S) and endogenous alpha S (Endo-alpha S) from human erythrocytes, we show that N-terminal acetylation has little impact on alpha S binding to anionic membranes and thus likely not relevant for regulating membrane affinity. N-terminal acetylation does have an effect on alpha S aggregation, resulting in a narrower distribution of the aggregation lag times and rates. 2D-IR spectra show that acetylation changes the secondary structure of alpha S in fibrils. This difference may arise from the slightly higher helical propensity of acetylated-alpha S in solution leading to a more homogenous fibril population with different fibril structure than non-acetylated alpha S. We speculate that N-terminal acetylation imposes conformational restraints on N-terminal residues in alpha S, thus predisposing alpha S toward specific interactions with other binding partners or alternatively decrease nonspecific interactions.

Most Alzheimer's disease (AD) cases are late-onset and characterized by the aggregation and deposition of the amyloid-beta (Aβ) peptide in extracellular plaques in the brain. However, a few rare and hereditary Aβ mutations, such as the Italian Glu22-to-Lys (E22K) mutation, guarantee the development of early-onset familial AD. This type of AD is associated with a younger age at disease onset, increased β-amyloid accumulation, and Aβ deposition in cerebral blood vessel walls, giving rise to cerebral amyloid angiopathy (CAA). It remains largely unknown how the Italian mutation results in the clinical phenotype that is characteristic of CAA. We therefore investigated how this single point mutation may affect the aggregation of Aβ1-42 in vitro and structurally characterized the resulting fibrils using a biophysical approach. This paper reports that wild-type and Italian-mutant Aβ both form fibrils characterized by the cross-β architecture, but with distinct β-sheet organizations, resulting in differences in thioflavin T fluorescence and solvent accessibility. E22K Aβ1-42 oligomers and fibrils both display an antiparallel β-sheet structure, in comparison with the parallel β-sheet structure of wild-type fibrils, characteristic of most amyloid fibrils described in the literature. Moreover, we demonstrate structural plasticity for Italian-mutant Aβ fibrils in a pH-dependent manner, in terms of their underlying β-sheet arrangement. These findings are of interest in the ongoing debate that (1) antiparallel β-sheet structure might represent a signature for toxicity, which could explain the higher toxicity reported for the Italian mutant, and that (2) fibril polymorphism might underlie differences in disease pathology and clinical manifestation., SCOPUS: ar.j, info:eu-repo/semantics/published

We report successful and selective dual protein assembly on patterned bifunctional βCD-Ni(ii)NTA surfaces, using red fluorescent protein variants with hexahistidine-tags and teal fluorescent protein variants conjugated with a peptide containing three adamantyl groups. We show that dual protein patterns can only be assembled, when opposing supramolecular interactions have been optimized and nonspecific interactions have been sufficiently suppressed.

DNA-linked 2D and 3D nano-assemblies find use in a diverse set of applications, ranging from DNA-origami in drug delivery and medical imaging, to DNA-linked nanoparticle structures for use in plasmonics and (bio)sensing. However, once these structures have been fully assembled, few options are available to modulate structure geometry. Here, we investigated the use of the polycation spermine to induce DNA collapse in small oligonucleotide-linked (54 bp) gold nanoparticle structures by monitoring shifts in the localized surface plasmon resonance (LSPR) peak and by comparing the data with finite-difference time-domain (FDTD) simulations. Our data shows that low concentrations of spermine can be applied to induce large changes in DNA conformation, leading to a significant reduction in interparticle distance (from ~25 to ~3 nm) and enhanced plasmonic coupling. The DNA collapse is near-instantaneous and reversible, and its application at low and high DNA densities is demonstrated with surface plasmon resonance imaging (SPRi), showing the potential of spermine to dynamically modulate distances and geometry in DNA-based nano-assemblies. [Figure not available: see fulltext.]

This data article contains seven figures and two tables supporting the research article entitled: spatiotemporal proliferation of human stromal cells adjusts to nutrient availability and leads to stanniocalcin-1 expression in vitro and in vivo [1]. The data explain the culture of stromal cells in vitro in three culture systems: discs, scaffolds and scaffolds in a perfusion bioreactor system. Also, quantification of extracellular matrix components (ECM) in vitro and staining of ECM components in vivo can be found here. Finally the quantification of blood vessels dimensions from CD31 signals and representative histograms of stanniocalcin-1 fluorescent signals in negative controls and experimental conditions in vivo are presented. (C) 2015 The Authors. Published by Elsevier Inc.

Multivalent membrane binding sites on the α-synuclein oligomer result in clustering of vesicles and hemifusion of negatively charged model membranes. These multivalent, biological nanoparticles are reminiscent of inorganic nanoparticles in their interactions with membranes. Alpha-synuclein oligomers induce lipid exchange efficiently, with fewer than 10 oligomers/vesicle required to complete hemifusion. No full fusion or vesicle content mixing is observed.

The formation of amyloid fibrils of α-synuclein (αSyn), the key protein in Parkinson's disease, is an autocatalytic process that is seeded by mature αSyn fibrils. Based on systematic measurements of the dependence of the fibril growth rate on the concentrations of monomers and preformed fibrillar seeds, we propose a mechanism of αSyn aggregation that includes monomer binding to fibril ends and secondary nucleation by fibril breaking. The model explains the increase of the αSyn aggregation rate under shaking conditions and the exponential increase in the fraction of fibrillar protein at the initial stages of αSyn aggregation. The proposed autocatalytic mechanism also accounts for the high variability in the aggregation lag time. The rate constant of monomer binding to the ends of fibrils, k+ ≈ 1.3 mM(-1) s(-1), was estimated from the aggregation rate and previously reported average fibril lengths. From the aggregation rates at low concentrations the binding of monomeric αSyn to fibrils was found to be almost irreversible, with an equilibrium dissociation constant (Kd) smaller than 3 μM.

Human α‐synuclein, a protein relevant in the brain with so‐far unknown function, plays an important role in Parkinson's disease. The phosphorylation state of αS was related to the disease, prompting interest in this process. The presumed physiological function and the disease action of αS involves membrane interaction. Here, we study the effect of phosphorylation at positions 87 and 129, mimicked by the mutations S87A, S129A (nonphosphorylated) and S87D, S129D (phosphorylated) on membrane binding. Local binding is detected by spin‐label continuous‐wave electron paramagnetic resonance. For S87A/D, six positions (27, 56, 63, 69, 76, and 90) are probed; and for S129A/D, three (27, 56, and 69). Binding to large unilamellar vesicles of 100 nm diameter of 1‐palmitoyl‐2‐oleoyl‐sn‐glycero‐3‐phospho‐(1′‐rac‐glycerol) and 1‐palmitoyl‐2‐oleoyl‐sn‐glycero‐3‐phosphocholine in a 1 : 1 composition is not affected by the phosphorylation state of S129. For phosphorylation at S87, local unbinding of αS from the membrane is observed. We speculate that modulating the local membrane affinity by phosphorylation could tune the way αS interacts with different membranes; for example, tuning its membrane fusion activity.

The aggregation of the intrinsically disordered protein alpha-synuclein (αS) into amyloid fibrils is thought to play a central role in the pathology of Parkinson’s disease. Using a combination of techniques (AFM, UV-CD, XRD, and amide-I 1D- and 2D-IR spectroscopy) we show that the structure of αS fibrils varies as a function of ionic strength: fibrils aggregated in low ionic-strength buffers ([NaCl] ≤ 25 mM) have a significantly different structure than fibrils grown in higher ionic-strength buffers. The observations for fibrils aggregated in low-salt buffers are consistent with an extended conformation of αS molecules, forming hydrogen-bonded intermolecular β-sheets that are loosely packed in a parallel fashion. For fibrils aggregated in high-salt buffers (including those prepared in buffers with a physiological salt concentration) the measurements are consistent with αS molecules in a more tightly-packed, antiparallel intramolecular conformation, and suggest a structure characterized by two twisting stacks of approximately five hydrogen-bonded intermolecular β-sheets each. We find evidence that the high-frequency peak in the amide-I spectrum of αS fibrils involves a normal mode that differs fundamentally from the canonical high-frequency antiparallel β-sheet mode. The high sensitivity of the fibril structure to the ionic strength might form the basis of differences in αS-related pathologies.

Human alpha-Synuclein (aS), implicated in Parkinson's disease, adopts a rich variety of different conformations depending on the macromolecular context. In order to unravel its pathophysiological role, monitoring its intracellular conformational state and identifying differences for the disease variants is crucial. Here, we present an intracellular spectroscopy approach based on a systematic spin-labeling site-scan in combination with intracellular electron paramagnetic resonance spectroscopy determining conformations on a molecular scale. A quantitative and model-based data analysis revealed that the vast majority of aS, be it wild-type or disease variants A30P or A53T, exists in the monomeric intrinsically disordered form in the cell.

Promoting entrepreneurship has become an increasingly important part of the policy agenda in many countries. The success of such policies, however, rests in part on the assumption that entrepreneurship outcomes are not fully determined at a young age by factors that are unrelated to current policy. We test this assumption and assess the importance of family background and neighborhood effects as determinants of entrepreneurship, by estimating sibling correlations in entrepreneurship. We find that between 20 and 50 percent of the variance in different entrepreneurial outcomes is explained by factors that siblings share (i.e., family background and neighborhood effects). The average is 28 percent. Hence, entrepreneurship is far less than fully determined at a young age. Our estimates increase only a little when allowing for differential treatment within families by gender and birth order. We then investigate a comprehensive set of mechanisms that explain sibling similarities. Parental entrepreneurship plays a large role in explaining sibling similarities, as do shared genes. We show that neighborhood effects matter, but are rather small, particularly when compared with the overall importance of family factors. Sibling peer effects, and parental income and education matter even less.

We report oriented immobilization of proteins using the standard hexahistidine (His6)-Ni2+:NTA (nitrilotriacetic acid) methodology, which we systematically tuned to give control of surface coverage. Fluorescence microscopy and surface plasmon resonance measurements of self-assembled monolayers (SAMs) of red fluorescent proteins (TagRFP) showed that binding strength increased by 1 order of magnitude for each additional His6-tag on the TagRFP proteins. All TagRFP variants with His6-tags located on only one side of the barrel-shaped protein yielded a 1.5 times higher surface coverage compared to variants with His6-tags on opposite sides of the so-called β-barrel. Time-resolved fluorescence anisotropy measurements supported by polarized infrared spectroscopy verified that the orientation (and thus coverage and functionality) of proteins on surfaces can be controlled by strategic placement of a His6-tag on the protein. Molecular dynamics simulations show how the differently tagged proteins reside at the surface in "end-on" and "side-on" orientations with each His6-tag contributing to binding. Also, not every dihistidine subunit in a given His6-tag forms a full coordination bond with the Ni2+:NTA SAMs, which varied with the position of the His6-tag on the protein. At equal valency but different tag positions on the protein, differences in binding were caused by probing for Ni2+:NTA moieties and by additional electrostatic interactions between different fractions of the β-barrel structure and charged NTA moieties. Potential of mean force calculations indicate there is no specific single-protein interaction mode that provides a clear preferential surface orientation, suggesting that the experimentally measured preference for the end-on orientation is a supra-protein, not a single-protein, effect.

Item does not contain fulltext We studied alpha-synuclein (alphaS) aggregation in giant vesicles, and observed dramatic membrane disintegration, as well as lipid incorporation into micrometer-sized suprafibrillar aggregates. In the presence of dye-filled vesicles, dye leakage and fibrillization happen concurrently. However, growing fibrils do not impair the integrity of phospholipid vesicles that have a low affinity for alphaS. Seeding alphaS aggregation accelerates dye leakage, indicating that oligomeric species are not required to explain the observed effect. The evolving picture suggests that fibrils that appear in solution bind membranes and recruit membrane-bound monomers, resulting in lipid extraction, membrane destabilization and the formation of lipid-containing suprafibrillar aggregates.

Item does not contain fulltext Conventional methods to determine the aggregation number, that is, the number of monomers per oligomer, struggle to yield reliable results for large protein aggregates, such as amyloid oligomers. We have previously demonstrated the use of a combination of single-molecule photobleaching and substoichiometric fluorescent labeling to determine the aggregation number of oligomers of human alpha-synuclein, implicated in Parkinson's disease. We show here that this approach is capable of accurately resolving mixtures of multiple distinct molecular species present in the same sample of dopamine-induced alpha-synuclein oligomers, and that we can determine the respective aggregation numbers of each species from a single histogram of bleaching steps. We found two distinct species with aggregation numbers of 15-19 monomers and 34-38 monomers. These results show that this single-molecule approach allows for the systematic study of the aggregation numbers of complex supramolecular assemblies formed under different aggregation conditions.

Item does not contain fulltext Multimodal fluorescence imaging is a versatile method that has a wide application range from biological studies to materials science. Typical observables in multimodal fluorescence imaging are intensity, lifetime, excitation, and emission spectra which are recorded at chosen locations at the sample. This chapter describes how to build instrumentation that allows for multimodal fluorescence imaging and explains data analysis procedures for the observables.

Activated leukocyte cell adhesion molecule (ALCAM) is a type I transmembrane protein member of the immunoglobulin superfamily of cell adhesion molecules. Involved in important pathophysiological processes such as the immune response, cancer metastasis, and neuronal development, ALCAM undergoes both homotypic interactions with other ALCAM molecules and heterotypic interactions with the surface receptor CD6 expressed at the T cell surface. Despite biochemical and biophysical evidence of a dynamic association between ALCAM and the actin cytoskeleton, no detailed information is available about how this association occurs at the molecular level. Here, we exploit a combination of complementary microscopy techniques, including FRET detected by fluorescence lifetime imaging microscopy and single-cell force spectroscopy, and we demonstrate the existence of a preformed ligand-independent supramolecular complex where ALCAM stably interacts with actin by binding to syntenin-1 and ezrin. Interaction with the ligand CD6 further enhances these multiple interactions. Altogether, our results propose a novel biophysical framework to understand the stabilizing role of the ALCAM supramolecular complex engaged to CD6 during dendritic cell-T cell interactions and provide novel information on the molecular players involved in the formation and signaling of the immunological synapse at the dendritic cell side. ispartof: Journal of Biological Chemistry vol:289 issue:19 pages:13445-60 ispartof: location:United States status: published

Item does not contain fulltext Single molecule tracking of membrane proteins by fluorescence microscopy is a promising method to investigate dynamic processes in live cells. Translating the trajectories of proteins to biological implications, such as protein interactions, requires the classification of protein motion within the trajectories. Spatial information of protein motion may reveal where the protein interacts with cellular structures, because binding of proteins to such structures often alters their diffusion speed. For dynamic diffusion systems, we provide an analytical framework to determine in which diffusion state a molecule is residing during the course of its trajectory. We compare different methods for the quantification of motion to utilize this framework for the classification of two diffusion states (two populations with different diffusion speed). We found that a gyration quantification method and a Bayesian statistics-based method are the most accurate in diffusion-state classification for realistic experimentally obtained datasets, of which the gyration method is much less computationally demanding. After classification of the diffusion, the lifetime of the states can be determined, and images of the diffusion states can be reconstructed at high resolution. Simulations validate these applications. We apply the classification and its applications to experimental data to demonstrate the potential of this approach to obtain further insights into the dynamics of cell membrane proteins.

Item does not contain fulltext Silver nanoparticle aggregates have been shown to support very large enhancements of fluorescence intensity from organic dye molecules coupled with an extreme reduction in observed fluorescence lifetimes. Here we show that for the same type of aggregates, similar enhancement factors ( approximately 75x in intensity and approximately 3400x in lifetime compared to the native radiative lifetime) are observed for a ruthenium-based phosphorescent dye (when taking into account the effect of charge and the excitation/emission wavelengths). Additionally, the inherently long native phosphorescence lifetimes practically enable more detailed analyses of the distribution of lifetimes (compared with the case with fluorescence decays). It was thus possible to unambiguously observe the deviation from mono-exponential decay which we attribute to emission from a distribution of fluorophores with different lifetimes, as we could expect from a random aggregation process. We believe that combining phosphorescent dyes with plasmonic structures, even down to the single dye level, will offer a convenient approach to better characterize plasmonic systems in detail.

Phospholipid vesicles are commonly used to get insights into the mechanism by which oligomers of amyloidogenic proteins damage membranes. Oligomers of the protein α-synuclein (αS) are thought to create pores in phospholipid vesicles containing a high amount of anionic phospholipids but fail to damage vesicle membranes at low surface charge densities. The current understanding of how αS oligomers damage the membranes is thus incomplete. This incomplete understanding may, in part, result from the choice of model membrane systems. The use of free-standing membranes such as vesicles may interfere with the unraveling of some damage mechanisms because the line tension at the edge of a membrane defect or pore ensures defect closure. Here, we have used supported lipid bilayers (SLBs) of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine/1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-l-serine (POPC/POPS) to study the membrane damage caused by αS oligomers. Although αS oligomers were not able to initiate the disruption of POPC/POPS vesicles or intact SLBs, oligomers did stabilize and enlarge pre-existing SLB defects. The increased exposure of lipid acyl chains at the edges of defects very likely facilitates membrane-oligomer interactions, resulting in the growth of fractal domains devoid of lipids. Concomitant with the appearance of the fractal membrane damage patterns, lipids appear in solution, directly implicating αS oligomers in the observed lipid extraction. The growth of the membrane damage patterns is not limited by the binding of lipids to the oligomer. The analysis of the shape and growth of the lipid-free domains suggests the involvement of an oligomer-dependent diffusion-limited extraction mechanism. The observed αS oligomer-induced propagation of membrane defects offers new insights into the mechanisms by which αS oligomers can contribute to the loss in membrane integrity.

We present a method to discriminate between analytes based on their size using multiple wavelengths in a Young interferometer. We measured the response of two wavelengths when adding 85 nm beads (representing specific binding), protein A (representing non-specific binding) and D-glucose (inducing a bulk change) to our sensor. Next, the measurements are analysed using a approach based on theoretical analysis, and a ratio-based analysis approach to discriminate between bulk changes and the binding of the different sized substances. Moreover, we were able to discriminate binding of 85 nm beads from binding of protein A (~2 nm) in a blind experiment using the ratio-based approach. This can for example be used to discriminate specific analyte binding of larger particles from non-specific binding of smaller particles. Therefore, we believe that by adding size-selectivity we can strongly improve the performance of the Young interferometer sensor and integrated optical interferometric sensors in general.

The formation of α-synuclein (α-S) amyloid aggregates, called Lewy bodies (LBs), is a hallmark of Parkinson’s disease (PD). The function of LBs in the disease process is however still unclear; they have been associated with both neuroprotection and toxicity. To obtain insight into this contradiction, we induced the formation of α-S inclusions, using three different induction methods in SH-SY5Y cells and rat-derived primary neuronal cells. Using confocal and STED microscopy we observed induction-dependent differences in α-S inclusion morphology, location and function. The aggregation of α-S in functionally different compartments correlates with the toxicity of the induction method measured in viability assays. The most cytotoxic treatment largely correlates with the formation of proteasome-associated, juxta-nuclear inclusions. With less toxic methods cytosolic deposits that are not associated with the proteasome are more prevalent. The distribution of α-S over at least two different types of inclusions is not limited to cell models, but is also observed in primary neuronal cells and in human mesencephalon. The existence of functionally different LBs, in vivo and in vitro, gives important insights in the impact of Lewy Body formation on neuronal functioning and may thereby provide a platform for discovering therapeutics.

The aggregation of membrane-bound α-synuclein (αS) into oligomers and/or amyloid fibrils has been suggested to cause membrane damage in in vitro model phospholipid membrane systems and in vivo. In this study, we investigate how αS interactions that precede the formation of well-defined aggregates influence physical membrane properties. Using three truncated variants of αS with different aggregation propensities and comparable phospholipid membrane binding affinities we show, using fluorescence recovery after photobleaching (FRAP) and fluorescence anisotropy measurements, that formation of αS clusters on supported lipid bilayers (SLBs) impairs lateral lipid diffusion and increases lipid packing beneath the αS clusters. Formation of protein clusters starts immediately after monomer addition. The magnitudes of the changes in effective lipid diffusion and lipid order increase with the protein cluster size. Our results show that the combination of inter-αS and αS-membrane interactions can drive the formation of more ordered lipid domains. Considering the functional involvement of membrane micro-domains in biological membranes, αS-induced domain formation may be relevant for alternative disease mechanisms.

Amyloid oligomers are considered to be the relevant toxic species in many amyloid diseases and much research effort has been devoted to fully characterize these oligomers. Despite their importance, oligomers have proven to be difficult to characterize structurally. Information on their aggregation number is scarce, largely because standard techniques struggle to provide reliable results. In this chapter, we present two different methods that reproducibly yield fluorescently labeled α-Synuclein oligomers. We then discuss a new approach, combining single-molecule photobleaching and sub-stoichiometric fluorescent labeling, that we have developed to determine the aggregation number of supramolecular protein assemblies.

We demonstrate an integrated optical probe including an on-chip microlens for a common-path swept-source optical coherence tomography system. This common-path design uses the end facet of the silicon oxynitride waveguide as the reference plane, thus eliminating the need of a space-consuming and dispersive on-chip loop reference arm, thereby obviating the need for dispersion compensation. The on-chip micro-ball lens eliminates the need of external optical elements for coupling the light between the chip and the sample. The use of this lens leads to a signal enhancement up to 37 dB compared to the chip without a lens. The light source, the common-path arm and the detector are connected by a symmetric Y junction having a wavelength independent splitting ratio (50/50) over a much larger bandwidth than can be obtained with a directional coupler. The signal-to-noise ratio of the system was measured to be 71 dB with 2.6 mW of power on a mirror sample at a distance of 0.3 mm from the waveguide end facet. Cross-sectional OCT images of a layered optical phantom sample are demonstrated with our system. A method, based on an extended Fourier-domain OCT model, for suppressing ghost images caused by additional parasitic reference planes is experimentally demonstrated. (c) 2016 Optical Society of America

Aggregation of α-synuclein has been linked to both familial and sporadic Parkinson's disease. Recent studies suggest that α-synuclein aggregates may spread from cell to cell and raise questions about the propagation of neurodegeneration. While continuous progress has been made characterizing α-synuclein aggregates in vitro, there is a lack of information regarding the structure of these species inside the cells. Here, we use confocal fluorescence microscopy in combination with direct stochastic optical reconstruction microscopy, dSTORM, to investigate α-synuclein uptake when added exogenously to SH-SY5Y neuroblastoma cells, and to probe in situ morphological features of α-synuclein aggregates with near nanometer resolution. We demonstrate that using dSTORM, it is possible to follow noninvasively the uptake of extracellularly added α-synuclein aggregates by the cells. Once the aggregates are internalized, they move through the endosomal pathway and accumulate in lysosomes to be degraded. Our dSTORM data show that α-synuclein aggregates remain assembled after internalization and they are shortened as they move through the endosomal pathway. No further aggregation was observed inside the lysosomes as speculated in the literature, nor in the cytoplasm of the cells. Our study thus highlights the super-resolution capability of dSTORM to follow directly the endocytotic uptake of extracellularly added amyloid aggregates and to probe the morphology of in situ protein aggregates even when they accumulate in small vesicular compartments.

Contains fulltext : 109545.pdf (Publisher’s version ) (Open Access) We present a new size-selective detection method for integrated optical interferometric biosensors that can strongly enhance their performance. We demonstrate that by launching multiple wavelengths into a Young interferometer waveguide sensor it is feasible to derive refractive index changes from different regions above the waveguide surface, enabling one to distinguish between bound particles (e.g. proteins, viruses, bacteria) based on their differences in size and simultaneously eliminating interference from bulk refractive index changes. Therefore it is anticipated that this new method will be ideally suited for the detection of viruses in complex media. Numerical calculations are used to optimize sensor design and the detection method. Furthermore the specific case of virus detection is analyzed theoretically showing a minimum detectable virus mass coverage of 4 x 102 fg/mm2 (typically corresponding to 5 x 101 particles/ml).

The enhanced local fields around plasmonic structures can lead to enhancement of the excitation and modification of the emission quantum yield of fluorophores. So far, high enhancement of fluorescence intensity from dye molecules was demonstrated using bow-tie gap antenna made by e-beam lithography. However, the high manufacturing cost and the fact that currently there are no effective ways to place fluorophores only at the gap prevent the use of these structures for enhancing fluorescence-based biochemical assays. We report on the simultaneous modification of fluorescence intensity and lifetime of dye-labeled DNA in the presence of aggregated silver nanoparticles. The nanoparticle aggregates act as efficient plasmonic antennas, leading to more than 2 orders of magnitude enhancement of the average fluorescence. This is comparable to the best-reported fluorescence enhancement for a single molecule but here applies to the average signal detected from all fluorophores in the system. This highlights the remarkable efficiency of this system for surface-enhanced fluorescence. Moreover, we show that the fluorescence intensity enhancement varies with the plasmon resonance position and measure a significant reduction (300×) of the fluorescence lifetime. Both observations are shown to be in agreement with the electromagnetic model of surface-enhanced fluorescence.

Item does not contain fulltext Atomic force microscopy (AFM) is widely used to measure morphological and mechanical properties of biological materials at the nanoscale. AFM is able to visualize and measure these properties in different environmental conditions. However, these conditions can influence the results considerably, rendering their interpretation a matter of some subtlety. We demonstrate this by imaging approximately 10 nm diameter alpha-synuclein amyloid fibrils, focusing specifically on the structure of the C-terminal part of the protein monomers incorporated into fibrils. Despite these influences leading to variations in fibril heights, we have shown that by maintaining careful control of AFM settings we can quantitatively compare the morphological parameters of fibrils imaged in air or in buffer conditions. From this comparison we were able to deduce the semiflexible character of this C-terminal region. Fibril height differences measured in air and liquid indicate that the C-terminal region collapses onto the fibril core upon drying. The fibril heights decrease upon increasing ion concentration in solution, suggesting that the C-terminal tails collapse into more compact structures as a result of charge screening. Finally, PeakForce QNM measurements show an apparent heterogeneity of C-terminal packing along the fibril length.

Item does not contain fulltext The pathogenesis of Parkinson's disease that is the second most common neurodegenerative disease is associated with formation of different aggregates of alpha-synuclein (ASN), namely oligomers and amyloid fibrils. Current research is aimed on the design of fluorescent dyes for the detection of oligomeric aggregates, which are considered to be toxic and morbific spices. Fluorescent properties of series of benzothiazole trimethine and pentamethine cyanines were characterized in free state and in presence of monomeric, oligomeric and fibrilar ASN. The dyes with wide aromatic systems and bulky phenyl and alkyl substituents that are potentially able to interact with hydrophobic regions of oligomeric aggregates were selected for the studies. For majority of studied dyes noticeable changes in fluorescence characteristics were shown in the presence of fibrillar or oligomeric ASN, while the dyes slightly responded on the presence of monomeric protein. For pentamethine cyanine SL-631 and trimethine cyanine SH-299 certain specificity to oligomeric aggregates over fibrils was observed. Using these dyes at 10(-6) M concentration permits the detection of oligomeric ASN in the concentrations range of at least 0.2-2 microM. Pentamethine cyanine SL-631 is proposed as dye for fluorescent detection of oligomeric aggregates of ASN, while trimethine cyanine SH-299 is shown to be a sensitive probe both on oligomeric and fibrillar ASN. It is proposed that wide aromatic system of SL-631 pentamethine dye molecule could better fix on the less dense and structured oligomeric formation, while less bulky and more "crescent-shape" molecule of trimethine dye SH-299 could easier enter into the groove of beta-pleated structure.

A number of proteins form supramolecular protein aggregates called amyloid fibrils which self-assemble under appropriate conditions. We have used high-resolution atomic force microscopy to obtain detailed ultrastructural information on fibrils formed from the E46K mutant of the human α-synuclein protein, which is associated with Parkinson's disease. Two distinct fibril species were found; one with a height of 6.0 nm exhibiting no periodicity along its length, and the other with 7.4 nm height, revealing a periodicity of 46 nm, typical for the E46K mutant. We also determined the bending rigidity of these fibrils by analyzing the curvature of the fibrils from 2D AFM images. By integrating the details of the fibril morphological features and their mechanical characteristics, we propose a structural model for α-synuclein fibrils, consisting of 6 filaments in two different packing configurations, consistent with the measured data.