Microtubules gate tau condensation to spatially regulate microtubule functions.

Tau is an abundant microtubule-associated protein in neurons. Tau aggregation into insoluble fibrils is a hallmark of Alzheimer's disease and other types of dementia1, yet the physiological state of tau molecules within cells remains unclear. Using single-molecule imaging, we directly observe that the microtubule lattice regulates reversible tau self-association, leading to localized, dynamic condensation of tau molecules on the microtubule surface. Tau condensates form selectively permissible barriers, spatially regulating the activity of microtubule-severing enzymes and the movement of molecular motors through their boundaries. We propose that reversible self-association of tau molecules, gated by the microtubule lattice, is an important mechanism of the biological functions of tau, and that oligomerization of tau is a common property shared between the physiological and disease-associated forms of the molecule

The inner centromere is a biomolecular condensate scaffolded by the chromosomal passenger complex.

The inner centromere is a region on every mitotic chromosome that enables specific biochemical reactions that underlie properties, such as the maintenance of cohesion, the regulation of kinetochores and the assembly of specialized chromatin, that can resist microtubule pulling forces. The chromosomal passenger complex (CPC) is abundantly localized to the inner centromeres and it is unclear whether it is involved in non-kinase activities that contribute to the generation of these unique chromatin properties. We find that the borealin subunit of the CPC drives phase separation of the CPC in vitro at concentrations that are below those found on the inner centromere. We also provide strong evidence that the CPC exists in a phase-separated state at the inner centromere. CPC phase separation is required for its inner-centromere localization and function during mitosis. We suggest that the CPC combines phase separation, kinase and histone code-reading activities to enable the formation of a chromatin body with unique biochemical activities at the inner centromere

Targeting intrinsically disordered proteins in rational drug discovery.

Introduction: Intrinsically disordered proteins (IDPs) and intrinsically disordered protein regions (IDPRs) have gained wide recognition over the past decade due to their versatile roles in cell physiology and pathology. A large repertoire of IDPs/IDPRs has been implicated in numerous diseases, making them potential targets for therapeutic intervention. Recent advances in experimental methods and computational approaches have enabled detection and characterization of these highly dynamic proteins at atomistic detail, thus facilitating disorder/dynamic-based drug discovery.Areas covered: This article presents an overview of the functional relevance and pathological implications of IDPs/IDPRs in cells. The authors outline the currently available experimental methods employed for structural characterization of these proteins. They also exemplify the practical limitations encountered during such characterization and ways to overcome them. Taken together, the article discusses the plausibility of exploiting protein disorder for drug targeting.Expert opinion: Disorder-based drug targeting is gearing up in the realm of novel drug discovery approaches. Tools for probing the molecular features of IDPs and IDPRs are rapidly improving and start to provide accurate descriptions of the complex ensembles populated by IDPs/IDPRs. They thus pave the way for the development of drug molecules, which specifically target disease-associated disorder

Residue-specific identification of phase separation hot spots of Alzheimer's-related protein tau

Liquid–liquid phase separation (LLPS) of proteins enables the formation of non-membrane-bound organelles in cells and is associated with cancer and neurodegeneration. Little is known however about the structure and dynamics of proteins in LLPS conditions, because of the polymorphic nature of liquid-like protein droplets. Using carbon-detected NMR experiments we here show that the conversion of the aggregation-prone repeat region of the Alzheimer's-related protein tau from the dispersed monomeric state to phase-separated liquid-like droplets involves tau's aggregation-prone hexapeptides and regulatory KXGS motifs. Droplet dissolution in presence of 1,6-hexanediol revealed that chemical shift perturbations in the hexapeptide motifs are temperature driven, while those in KXGS motifs report on phase separation. Residue-specific secondary structure analysis further indicated that tau's repeat region exists in extended conformation in the dispersed state and attains transient β-hairpin propensity upon LLPS. Taken together our work shows that NMR spectroscopy can provide high-resolution insights into LLPS-induced changes in intrinsically disordered proteins

Liquid-liquid phase separation of the microtubule-binding repeats of the Alzheimer-related protein Tau

The protein Tau aggregates into tangles in the brain of patients with Alzheimer's disease. In solution, however, Tau is intrinsically disordered, highly soluble, and binds to microtubules. It is still unclear what initiates the conversion from an innocuous phase of high solubility and functionality to solid-like neurotoxic deposits. Here, we show that the microtubule-binding repeats of Tau, which are lysine-rich, undergo liquid-liquid phase separation in solution. Liquid-liquid demixing causes molecular crowding of amyloid-promoting elements of Tau and drives electrostatic coacervation. Furthermore, we demonstrate that three-repeat and four-repeat isoforms of Tau differ in their ability for demixing. Alternative splicing of Tau can thus regulate the formation of Tau-containing membrane-less compartments. In addition, phosphorylation of Tau repeats promotes liquid-liquid phase separation at cellular protein conditions. The combined data propose a mechanism in which liquid droplets formed by the positively charged microtubule-binding domain of Tau undergo coacervation with negatively charged molecules to promote amyloid formation

Improved long-term outcome after transient cerebral ischemia in aquaporin-4 knockout mice.

A hallmark of stroke is water accumulation (edema) resulting from dysregulation of osmotic homeostasis. Brain edema contributes to tissue demise and may lead to increased intracranial pressure and lethal herniation. Currently, there are only limited treatments to prevent edema formation following stroke. Aquaporin 4 (AQP4), a brain water channel, has become a focus of interest for therapeutic approaches targeting edema. At present, there are no pharmacological tools to block AQP4. The role of AQP4 in edema after brain injury remains unclear with conflicting results from studies using AQP4(-/-) mice and of AQP4 expression following stroke. Here, we studied AQP4 and its role in edema formation by testing AQP4(-/-) mice in a model of middle cerebral artery occlusion using novel quantitative MRI water content measurements, histology and behavioral changes as outcome measures. Absence of AQP4 was associated with decreased mortality and increased motor recovery 3 to 14 days after stroke. Behavioral improvement was associated with decreased lesion volume, neuronal cell death and neuroinflammation in AQP4(-/-) compared to wild type mice. Our data suggest that the lack of AQP4 confers an overall beneficial role at long term with improved neuronal survival and reduced neuroinflammation, but without a direct effect on edema formation

Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

Forest canopy height estimates, at a regional scale, help understand the forest carbon storage, ecosystem processes, the development of forest management and the restoration policies to mitigate global climate change, etc. The recent availability of the NASA’s Global Ecosystem Dynamics Investigation (GEDI) LiDAR data has opened up new avenues to assess the plant canopy height at a footprint level. Here, we present a novel approach using the random forest (RF) for the wall-to-wall canopy height estimation over India’s forests (i.e., evergreen forest, deciduous forest, mixed forest, plantation, and shrubland) by employing the high-resolution top-of-the-atmosphere (TOA) reflectance and vegetation indices, the synthetic aperture radar (SAR) backscatters, the topography and tree canopy density, as the proxy variables. The variable importance plot indicated that the SAR backscatters, tree canopy density and the topography are the most influential height predictors. 33.15% of India’s forest cover demonstrated the canopy height 20 m). This study advocates the importance and use of GEDI data for estimating the canopy height, preferably in data-deficit mountainous regions, where most of India’s natural forest vegetation exists