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Chattopadhyay, K.

Publications and source records attributed to Chattopadhyay, K..

At least 19 recordsLinked to original sources

Heterotypic FG-Nup98-tau condensates form nested assemblies through stoichiometry-dependent phase transitions

The dysfunction of nucleocytoplasmic transport (NCT) and tau aggregation are emerging as interconnected hallmarks of neurodegenerative tauopathies. However, the molecular basis by which components of the nuclear pore complex and tau interact remains unclear. Here, we combine experimental and computational approaches to elucidate the mechanism of heterotypic phase separation between the FG-repeat domain of nucleoporin Nup98 (FG-Nup98) and tau. In vitro assays revealed that FG-Nup98 and tau undergo coacervation, forming dynamic condensates whose morphology and dynamics depend on stoichiometry, macromolecular crowding, and ionic strength. FRAP indicated reduced tau mobility within FG-Nup98-rich condensates, supporting a scaffold-client model. Complementary computational analyses revealed hierarchical binding energetics: FG-Nup98 self-association is strongest, followed by FG-Nup98-tau and tau-tau interactions. While FG-Nup98 forms stable homotypic networks, tau-tau contacts are transient but energetically favorable, which suggests that elevated tau concentrations may trigger a transition from droplets to tau aggregates. Together, these results establish that multivalent FG-Nup98-tau interactions drive condensate formation that could potentially perturb the permeability barrier of the nuclear pore. This study elucidates the coordinated behaviors of FG-Nup98-tau condensates and provides a framework for understanding NCT defects in tauopathies.

biochemistry↗

Prime editing of an evolutionarily informed PEPC residue enhances photosynthesis and grain nutrition in C₃ rice

C4 photosynthesis evolved through adaptive changes in key metabolic enzymes that enhance carbon fixation efficiency, yet transferring such traits into C3 crops has met limited success. Using precision prime editing, we introduced an evolutionarily conserved single amino acid substitution (Arg[->]Gly) into phosphoenolpyruvate carboxylase (PEPC) in rice. Edited plants exhibited enhanced PEPC activity in the presence of the feedback inhibitor malate, increased chlorophyll content, elevated photosynthetic rates under ambient CO2, and increased seed size and weight. Remarkably, seeds from the edited lines showed simultaneous enrichment of zinc (Zn), iron (Fe), and protein, hereafter referred to as ZiP rice. This work demonstrates that a single, evolutionarily guided residue change can reprogram core carbon metabolism in a C3 crop, enabling concurrent improvements in photosynthesis and grain nutritional quality.

plant biology↗

Distributed theta networks support the control of working memory: Evidence from scalp and intracranial EEG

We combined scalp EEG and intracranial EEG (iEEG) to identify spectral and network-level signatures of executive control during a delayed match-to-sample task working memory task. To isolate executive processes, we contrasted test and sample phases, matched in perceptual input but differing in cognitive demand. Scalp EEG revealed increased frontal midline theta event-related spectral perturbations (ERSPs), dynamic increases and decreases in posterior theta-alpha ERSPs, and decreased central alpha-beta ERSPs during the test phase. These local spectral changes were accompanied by enhanced frontoposterior theta phase synchrony and network hub strength, predicting higher behavioral accuracy. Using a novel cross-modal scalp EEG-iEEG ERSP similarity approach, we localized the sources of scalp-derived frontal midline, posterior, and central control effects to medial frontal, parietal, temporal, and occipital regions. Our results integrate power and connectivity measures across scalp and iEEG, linking local spectral fluctuations to broader network organization. Together, they support a model in which executive control emerges from flexible, temporally precise coordination between medial frontal control hubs and posterior representational systems.

neuroscience↗

Spatio-temporal regulation of ligand trafficking and TLR9 activation involves PIEZO1 mechanosensing in human plasmacytoid dendritic cells

Plasmacytoid dendritic cells (pDCs) are specialized innate immune cells which play a pivotal role in antiviral immunity by producing large quantities of type I interferons (IFNs) upon sensing nucleic acids via Toll-like receptor 9 (TLR9). Synthetic oligodeoxynucleotides (ODNs) such as CpGA and CpGB, both containing unmethylated CpG motifs, are commonly used experimental TLR9 agonists. Interestingly, CpGA and CpGB elicit markedly different responses in pDCs - CpGA induces robust IFN- production, whereas CpGB does not. The mechanistic basis underlying this ligand-specific functional divergence has remained unclear. Here, we identify PIEZO1, a mechanosensory ion channel, as a critical determinant of ligand-specific IFN responses in human primary pDCs. We demonstrate that unlike CpGB, CpGA self-associates into larger aggregates that generate membrane tension during cellular uptake, leading to activation of PIEZO1. This activation triggers localized calcium influx and cytoskeletal remodeling, resulting in the formation of local F-actin structures that retain CpGA within early endosomes enabling sustained IRF7 nuclear translocation and robust type I IFN production. Disruption of PIEZO1 or actin polymerization abrogates CpGA-induced IFN production, while pharmacological activation of Piezo1 enhances IFN production in response to CpGB. Thus, these findings uncover a previously unrecognized biophysical checkpoint in nucleic acid sensing, wherein membrane tension is transduced via PIEZO1 into spatially controlled TLR9 signaling. Overall, our study establishes PIEZO1 mechanosensing at the plasma membrane as a key regulatory event in nucleic acid-induced immunity, with different functional outcomes based on the cargo structure, opening potential new avenues for modulating type I IFN responses in infection and autoimmunity.

immunology↗

Membrane curvature during membrane rupture and formation of pentagonal pyramidal superassemblies by a pore-forming toxin, Vibrio cholerae Cytolysin, using single particle cryo-EM

In this cryo-electron microscopy study, we provide mechanistic insights into how an archetypical {beta}-barrel pore-forming toxin ({beta}-PFT), Vibrio cholerae Cytolysin (VCC), ruptures the membrane lipid bilayer by inducing membrane curvature. We demonstrate how VCC oligomers cluster together and drastically increase local membrane curvature, thereby causing membrane blebbing. In addition, we also show how these PFTs after rupturing the host membrane tend to form symmetric super-molecular assemblies to stabilize their hydrophobic transmembrane rim domains. We further provide another example of membrane rupture with gamma hemolysin, a Staphylococcal bicomponent {beta}-PFT. These insights will usher new studies on membrane curvature due to protein crowding and broaden our mechanistic understanding of how this largest class of bacterial protein toxins induce host cellular death.

biophysics↗

One of these things is not like the others: Theta, beta, & ERP dynamics of mismatch detection

Working memory (WM) enables the detection of mistakes by permitting one to notice when sensory input is mismatched to their internal prediction. Prior studies support the role of frontal midline theta activity, with an overlapping N200 event-related potential (ERP), as a mechanism for comparing incoming sensory stimuli to the internal model. Additionally, posterior low-beta activity has been proposed as a mechanism for processing incoming sensory stimuli in WM. However, it is unknown whether frontal midline theta activity and the N200 support mismatch detection, or whether posterior low-beta activity extends from sensory processing to detecting a mismatch between sensory input and the internal model. Here, we reveal that frontal midline theta supports mismatch detection and explains individual WM performance. Unexpectedly, instead of the N200, results show a positive slow wave ERP overlapping with the frontal midline theta mismatch response. Results additionally indicate a late posterior low-beta response persisting from stimulus presentation into the post-stimulus delay. Our findings establish frontal midline theta as a marker of successful mismatch detection, challenge the domain-general role of the N200 in error detection, and support theories linking posterior low-beta to processing incoming sensory stimuli.

neuroscience↗

Heterotypic Protein Interactions Modulate the Condensate Dynamics and Aggregation of α-Synuclein

Multicomponent biomolecular condensates formed by diverse multivalent proteins underlie numerous cellular processes, from ribosome biogenesis to stress response regulation, and have recently been implicated in disease-related protein aggregation. Understanding how heterotypic protein interactions modulate condensate dynamics and transitions to amyloid states remains a major challenge. Here, we combine fluorescence -based ensemble and single-molecule approaches, molecular simulations, and systematic domain deletions to investigate how charge patterning and domain structure influence co-condensation between -synuclein, a disordered neuronal protein linked to Parkinsons disease, and the SARS-CoV-2 nucleocapsid protein (NP), a structured viral RNA-binding protein. We find that co-condensation is driven by multivalent electrostatic interactions and occurs when the heterotypic affinity exceeds a threshold, resulting in restricted protein dynamics and altered condensate material properties. These changes promote the formation of dense amyloid fibrils, as confirmed by atomic force microscopy and fluorescence assays. Our results elucidate how heterotypic interactions within multiphasic condensates can modulate phase behavior and aggregation, providing insight into broader mechanisms linking condensate dysregulation with neurodegenerative diseases.

biophysics↗

Multivalent interaction induces phase separation and formation of more toxic aggregates of α-syn in a yeast model of Parkinson's disease

The process of protein phase separation, particularly in the context of intrinsically disordered proteins, has been extensively studied for its implications in several neuro-degenerative diseases. Although the mechanism of protein phase separation and the involved molecular grammar have been well explored under in vitro conditions, the focus is now shifting towards developing more complex models of phase separation in order to mimic the biological systems more closely. Here, we studied the phase separation of alpha synuclein (-syn), an intrinsically disordered protein whose aggregation is implicated in the pathology of Parkinsons Disease, (PD) inside yeast cells (Saccharomyces cerevisiae). Using a positively charged polymer; polyethylenimine (PEI), which binds presumably at the negatively charged C-terminal domain of -syn, we find that the aggregation of -syn inside yeast can be modulated by at least two pathways: one involving phase separation and the second one without phase separation. We find further that these two pathways lead to varying fibril characteristics and toxicities. We believe that this model can be used as a quick and convenient system to screen novel and repurposed small molecules against toxic protein droplets.

biophysics↗

Mapping DHPS Evolvability: Identification of Novel Evolutionarily Critical Sub-Structure through Evolutionary and Structural Analyses of DHPS

Protein evolution shapes pathogen adaptation-landscape, particularly in developing drug resistance. The rapid evolution of target proteins under antibiotic pressure leads to escape mutations leading to the problem of antibiotic resistance. A deep understanding of the evolutionary dynamics of antibiotic target proteins presents a plausible intervention strategy for disrupting the evolutionary trajectory of resistance. Mutations in Dihydropteroate synthase (DHPS), an essential folate pathway protein and a key target for sulfonamide antibiotics, result in reduced antibiotic binding, leading to resistance. Deploying an array of statistical analyses on the DHPS sequence-space and integrating those with deep mutational analysis and structure-based network-topology models we identified critical DHPS-subsequences. Our analysis of the frustration landscape of DHPS predicts how conformational and mutational changes shift the energy distributions within the DHPS substructures. Combining dimensionality reduction and optimality analysis we identified a substructure critical to DHPS evolvability, and computed its druggablity. Our integrated evolution and structure-informed framework identified a DHPS-substructure with significant evolutionary and structural impact. Targeting this region could constrain DHPS evolvability and disrupt the resistome, presenting a new avenue for antibiotic development and contributing to the broader effort to address the problem of antibiotic resistance.

biophysics↗

Crowder induced conformational fluctuations modulate the phase separation of yeast SUP35 NM domain

Intrinsically disordered proteins (IDPs) like Sup35NM can undergo liquid-liquid phase separation (LLPS) to form biomolecular condensates, a process influenced by their conformational flexibility and the crowded intracellular environment. This study investigates how molecular crowding, specifically the size and shape of crowders like Dextran and Ficoll, modulates the conformational states and phase separation behavior of Sup35NM. Using fluorescence correlation spectroscopy (FCS) and molecular dynamics simulations, we observed that Dextran, depending on its molecular weight, induces both compaction and expansion of Sup35NM, driving phase separation at certain thresholds. Notably, rod-like Dextran crowders promote phase separation, while spherical Ficoll does not, highlighting the impact of crowder geometry on IDP behavior. Computational modelling further revealed that the crowder shape influences Sup35NMs conformational ensemble by modulating intra- and inter-domain interactions. These findings elucidate the role of crowding agents in IDP phase behavior, suggesting that cellular crowding may regulate IDP functionality through conformational control.

biophysics↗

Mechanism of host cell invasion by Leishmania through KMP-11 mediated cholesterol-transport and membrane phase transition

The first step of successful infection by any intracellular pathogen relies on its ability to invade its host cell membrane. However, the detailed structural and molecular understanding underlying lipid membrane modification during pathogenic invasion remains unclear. In this study, we show that a specific Leishmania donovani (LD) protein, KMP-11, forms oligomers that bridge LD and host macrophage (M{Phi}) membranes. This KMP-11 induced interaction between LD and M{Phi} depends on the variations in cholesterol (CHOL) and ergosterol (ERG) contents in their respective membranes. These variations are crucial for the subsequent steps of invasion, including (a) the initial attachment, (b) CHOL transport from M{Phi} to LD, and (c) detachment of LD from the initial point of contact through a liquid ordered (Lo) to liquid disordered (Ld) membrane-phase transition. To validate the importance of KMP-11, we generated KMP-11 depleted LD, which failed to attach and invade host M{Phi}. Through tryptophan-scanning mutagenesis and synthesized peptides, we developed a generalized mathematical model, which demonstrates that the hydrophobic moment and the symmetry sequence code at the membrane interacting protein domain are key factors in facilitating the membrane phase transition and, consequently, the host cell infection process by Leishmania parasites.

biophysics↗

Amyloid Beta Oligomers Accelerate ATP-Dependent Phase Separation of Ago2 to RNA Processing Bodies

Phase separation to insoluble membrane-less organelles is a major way of activity regulation of specific proteins in eukaryotic cells. miRNA-repressed mRNAs and Ago proteins are known to be localized to RNA-processing bodies, the subcellular structures which are formed due to assembly of several RNA binding and regulatory proteins in eukaryotic cells. Ago2 is the most important miRNA binding protein that by forming complex with miRNA binds to mRNAs having cognate miRNA binding sites and represses protein synthesis in mammalian cells. Factors which control compartmentalization of Ago2 and miRNA-repressed mRNAs to RNA processing bodies are largely unknown. We have adopted a detergent permeabilized cell-based assay system to follow the phase separation of exogenously added Ago2 to RNA processing bodies in vitro. The Ago2 phase separation process is ATP dependent and is influenced by osmolarity and salt concentration of the reaction buffer. miRNA binding of Ago2 is essential for its targeting to RNA processing bodies and the compartmentalization process gets retarded by miRNA binding "sponge" protein HuR. This assay system found to be useful in identification of amyloid beta oligomers as miRNA-activity modulators which repress miRNA activity by enhancing Ago2-miRNP targeting to RNA processing bodies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/584939v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1fe06eeorg.highwire.dtl.DTLVardef@7904b1org.highwire.dtl.DTLVardef@1231746org.highwire.dtl.DTLVardef@cd1405_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LImiRNA bound Ago2 gets phase separated in vitro to RNA processing bodies (PBs) in detergent permeabilized mammalian cells. C_LIO_LIPhase separation of Ago2 to PBs is controlled by presence of ATP and RNA. C_LIO_LIAmyloid beta oligomers retard dynamics of Ago2 bodies to inhibit miRNA function and enhance PB targeting of Ago2 miRNPs. C_LIO_LImicroRNA binding protein HuR can rescue Ago2 miRNP from PBs and inverse the effect of amyloid beta oligomers. C_LI

neuroscience↗

Zn-dependent structural transition of SOD1 modulates its ability to undergo liquid-liquid phase separation.

The toxic gain of function of Cu/Zn superoxide dismutase (SOD1) associated with the neurodegenerative disease - Amyotrophic lateral sclerosis (ALS), is believed to occur via misfolding and/or aggregation. SOD1 is also associated with stress granules (SGs) which are a type of membraneless organelle believed to form via liquid-liquid phase separation (LLPS) of several proteins containing low-complexity, disordered regions. Using a combination of experiments and computer simulations, we report here that structural disorder in two loop regions of SOD1 induced by the absence of metal cofactor - Zn, triggers its LLPS. The phase-separated droplets give rise to aggregates which eventually form toxic amyloids upon prolonged incubation. The addition of exogenous Zn to immature, metal-free SOD1 and the severe ALS mutant - I113T, stabilized the loops and restored the folded structure, thereby inhibiting LLPS and subsequent aggregation. In contrast, the Zn-induced inhibition of LLPS and aggregation was found to be partial in the case of another severe ALS-associated mutant - G85R, which exhibits reduced Zn-binding. Moreover, a less-severe ALS mutant - G37R with perturbed Cu binding does not undergo LLPS. In conclusion, our work establishes a role for Zn-dependent modulation of SOD1 disorder and LLPS as a precursor phenomenon which may lead to the formation of toxic amyloids associated with ALS. Significance StatementThe formation of membraneless organelles such as stress granules (SGs) is believed to occur through the process of liquid-liquid phase separation (LLPS) and involves numerous proteins containing intrinsically disordered regions. Whether SOD1, which is also associated with SGs and whose aggregation is associated with Amyotrophic lateral sclerosis (ALS), can independently undergo LLPS, is not known. SOD1 is a metalloenzyme which is stabilized by the metal co-factor - Zn. In this work, we utilize experimental and simulation techniques to highlight the modulation of SOD1 LLPS propensity in a Zn-dependent manner due to underlying conformational transitions between folded and partially disordered states. Our work establishes a link between SOD1 LLPS and aggregation, which is relevant to ALS pathogenesis.

biophysics↗

In vitro reconstitution demonstrates the amyloid-beta mediated myelin membrane deformation

Amyloid-beta (A{beta}) aggregation mediated neuronal membrane deformation, although poorly understood, is implicated in Alzheimers Disease (AD). Particularly, whether A{beta} aggregation can induce neuronal demyelination remains unknown. Here we show that A{beta}-40 binds and induces extensive tubulation in the myelin membrane in vitro. The binding of A{beta}-40 depends predominantly on the lipid packing defect densities and electrostatic interactions and results in rigidification of the myelin membrane in the early time scales. Furthermore, elongation of A{beta}-40 into higher oligomeric and fibrillar species leads to eventual fluidization of the myelin membrane followed by extensive membrane tubulation observed in the late phase. Taken together, our results capture mechanistic insights into snapshots of temporal dynamics of A{beta}-40 - myelin membrane interaction and demonstrate how short timescale, local phenomena of binding, and fibril mediated load generation manifests into long timescale, global phenomena of myelin tubulation and demonstrates the ability of A{beta}-40 to demyelinate.

biophysics↗

IMMUND: an Early Stage Diagnostic and Therapeutic Frame for Neurodegenerative Diseases and Multiple Sclerosis based on Immunological Markers

For neurodegenerative diseases, the impact of immunological markers is one of the modern research areas. It has been observed that neuroinflammation increases the cellular precipitation of some of the key proteins associated with neurodegenerative diseases. Therefore, the possibility of functional loss can be enhanced due to neuroinflammation which leads to the initiation of any related diseases. In this regard, autoantibodies, which are known for their autophagy nature, can be considered as key elements for early diagnostic as well as early therapeutics. In this article, we have proposed a comprehensive framework to unveil the diagnostic as well as the therapeutic possibility of the autoantibodies which are largely associated with Mild-Moderate Alzheimers Disease, Early-Stage Parkinsons Disease, and Multiple Sclerosis. Here, we have introduced a new concept of average p-value where multiple p-values of an autoantibody in a singular disease have been considered as a multi-occurrence of that sample in cellular systems. Also, multiple proteins from a single protein family under a differentially expressed range have been prioritized. As a result, the top ten autoantibodies have been selected for further study and also considered as diagnostic markers. Interestingly, most of the selected autoantibodies are either cytokines or immunoglobulins. Subsequently, we have performed an evolutionary sequence-structure space study to identify the druggable structural facet for the selected autoantibodies. To make the therapeutic perspective more robust, we have introduced the concept of protein moonlighting. Hence, it provides more robustness in therapeutic identification. Finally, two autoantibodies i.e., Q9NYV4 and P01602 are identified as a novel marker.

neuroscience↗

Lipid Droplets Promote Phase Separation of Ago2 to Accelerate Dicer1 Loss and Decelerate miRNA Activity in Lipid Exposed Hepatic Cells

miR-122 is a liver specific miRNA that plays an important role in controlling metabolic homeostasis in mammalian liver cells. Interestingly, miR-122 on exposure to lipotoxic stress is reduced in liver cells. To fight stress, miRNA processor Dicer1 is depleted to cause reduced miR-122 production and the lowering of miRNA level ensures a better stress response in hepatocytes under lipotoxic stress. Interestingly, lipid droplets, formed in the liver cells on exposure to high fat, ensure cytoplasmic phase separation of Ago2 and prevent interaction of Ago2 with Dicer1. Lipid droplets bind miRNA and enhance miRNA-Ago2 uncoupling and Ago2 phase separation. Loss of interaction between Ago2 and Dicer1 eventually facilitates export and lowering of cellular Dicer1, a process also dependent on the endosomal maturation controller protein Alix, thereby ceasing pre-miRNA processing by Dicer1 in lipid exposed cells. Depletion of lipid droplets by downregulation of Perilipins with siRNAs resulted in a rescue of cellular Dicer1 level and Ago2-Dicer1 interaction. This is a novel mechanism that liver cells adopt to restrict cellular miRNA levels under stress condition. Thus, lipid droplets prevent cell death upon exposure to high fat by reducing intra and extracellular pool of miR-122 in hepatic tissue.

cell biology↗

Membrane composition and lipid to protein ratio modulate amyloid kinetics of yeast prion protein

Understanding of prion aggregation in membrane environment may help to ameliorate neurodegenerative complications caused by the amyloid forms of prions. Here, we investigated the membrane binding induced aggregation of yeast prion protein Sup35. Using the combination of fluorescence correlation spectroscopy (FCS) at single molecule resolution and other biophysical studies, we establish that lipid composition and lipid/protein ratio are key modulators of the aggregation kinetics of Sup35. In the presence of zwitterionic membrane, Sup35 exhibited a novel biphasic aggregation kinetics at lipid/protein ratio ranging between 20:1 and 70:1 (termed here as the Optimum Lipid Concentration, OLC). In ratios below (Low Lipid Concentration, LLC) and above (ELC, Excess Lipid Concentration) that range, the aggregation was found to be monophasic. In contrast, in the presence of negatively charged membrane, we did not observe any bi-phasic aggregation kinetics in the entire range of protein to lipid ratios. The toxicity of the aggregates formed within OLC range was found to be greater. Our results provide a mechanistic description of the role that membrane-concentration/composition-modulated-aggregation may play in neurodegenerative diseases.

biophysics↗

The metal cofactor zinc and interacting membranes modulate SOD1 conformation-aggregation landscape in an in vitro ALS Model

Aggregation of Cu-Zn superoxide dismutase (SOD1) is implicated in the motor neuron disease, ALS. Although more than 140 disease mutations of SOD1 are available, their stability or aggregation behaviors in membrane environment are not correlated with disease pathophysiology. Here, we use multiple mutational variants of SOD1 to show that the absence of Zn, and not Cu, significantly impacts membrane attachment of SOD1 through two loop regions facilitating aggregation driven by lipid induced conformational changes. These loop regions influence both the primary (through Cu intake) and the gain of function (through aggregation) of SOD1 presumably through a shared conformational landscape. Combining experimental and theoretical frameworks using representative ALS disease mutants, we develop a co-factor derived membrane association model wherein mutational stress closer to the Zn (but not to the Cu) pocket is responsible for membrane association mediated toxic aggregation and survival time scale after ALS diagnosis.

biophysics↗