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Mondal, S.

Publications and source records attributed to Mondal, S..

At least 37 records · Page 2Linked to original sources

Molecular Basis of Ionic Suppression of ZAP-70 Dependent T Cell Receptor Activation

Ionic imbalance in the tumor microenvironment alters the tumor-infiltrating T lymphocyte function. High extracellular K+ suppresses T cell function by negatively regulating T cell receptor (TCR) signaling. In contrast, elevated extracellular Na+ enhances T cell effector function by boosting the phosphorylation of TCR signaling modules. Here, we presented a mechanism explaining how the two monovalent cations differently regulate TCR function. At rest, high intracellular K+ uncouples allosteric recruitment of ZAP-70, a key signaling module, to the TCR complex. The formation of antigen TCR complex induces K+ efflux, causing spontaneous recruitment of ZAP-70 to the TCR. Increasing extracellular K+ perturbs K+ efflux and slows ZAP-70 recruitment to the TCR complex, even upon antigen binding. This leads to defects in T cell development and arthritis-like symptoms in juvenile mice. We conclude that K+ dynamics is integral to T cell ligand discrimination and fundamental to turning off the signaling during T cell quiescence.

immunology↗

Interactions between the picornavirus 3C(D) main protease and RNA induce liquid-liquid phase separation

The picornavirus 3CD protein is a precursor to the 3C main protease and the 3D RNA-dependent RNA polymerase. In addition to its functions in proteolytic processing of the virus polyprotein and cleavage of key host factors, the 3C domain interacts with cis-acting replication elements (CREs) within the viral genome to regulate replication and translation events. We investigated the molecular determinants of RNA binding to 3C using a wide range of biophysical and computational methods. These studies showed that 3C binds to a broad spectrum of RNA oligonucleotides, displaying minimal dependence on RNA sequence and structure. However, they also uncovered a novel aspect of these interactions, that is, 3C-RNA binding can induce liquid-liquid phase separation (LLPS), with 3CD-RNA interactions likewise leading to LLPS. This may be a general phenomenon for other 3C and 3C-like proteases, and polyprotein incorporating 3C domains. These findings have potential implications in understanding virally induced apoptosis and controlling stress granules, which involve LLPS and include other proteins with known interactions with 3C/3CD. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=72 SRC="FIGDIR/small/648818v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@16bbd2corg.highwire.dtl.DTLVardef@50a2cborg.highwire.dtl.DTLVardef@1efc3beorg.highwire.dtl.DTLVardef@1beff0_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

The Origin of the Ionic-strength Dependent Reentrant Behavior in Liquid-Liquid Phase Separation of Neutral IDPs

The effect of salt on coacervation of synthetic or biological polyelectrolytes and polyampholytes is well-studied. However, recent experiments showed that largely uncharged IDPs (like FUS) also undergo LLPS at physiological salt concentrations such as [Cion][~]0.15M, dissolve at higher salt concentration, and again phase separate at even higher salt concentrations such as, [Cion][~]3M. Here we use analytical theory and simulations to reveal the mechanism of these transitions. At low [Cion], the ionic solution acts as a highly correlated medium conferring long-range effective attractive interactions between spatially distant monomers. In this regime the ion concentration inside the condensate is higher than in the bulk solution. As [Cion] increases, the correlation length in the ionic plasma decreases, and the condensate dissolves. Second LLPS at high [Cion] is due to the entropy-driven crowding, and ion concentration inside the condensate is lower than in the bulk. Our study unravels a general physical mechanism of salt-dependent reentrant behavior in LLPS in uncharged IDPs.

biophysics↗

Magnetic resonance control of reaction yields through genetically-encoded protein:flavin spin-correlated radicals in a live animal

Radio-frequency (RF) magnetic fields can influence reactions involving spin-correlated radical pairs. This provides a mechanism by which RF fields can influence living systems at the biomolecular level. Here we report the modification of the emission of various red fluorescent proteins (RFPs), in the presence of a flavin cofactor, induced by a combination of static and RF magnetic fields. Resonance features in the protein fluorescence intensity were observed near the electron spin resonance frequency at the corresponding static magnetic field strength. This effect was measured at room temperature both in vitro and in the nematode C. elegans, genetically modified to express the RFP mScarlet. These observations suggest that the magnetic field effects measured in RFP-flavin systems are due to quantum-correlated radical pairs. Our experiments demonstrate that RF magnetic fields can influence dynamics of reactions involving RFPs in biologically relevant conditions, and even within a living animal. These results have implications for the development of a new class of genetic tools based on RF manipulation of genetically-encoded quantum systems.

biophysics↗

The Adhesion GPCR ADGRL2 engages Gα13 to Enable Epidermal Differentiation

Homeostasis relies on signaling networks controlled by cell membrane receptors. Although G-protein-coupled receptors (GPCRs) are the largest family of transmembrane receptors, their specific roles in the epidermis are not fully understood. Dual CRISPR-Flow and single cell Perturb-seq knockout screens of all epidermal GPCRs were thus performed, uncovering an essential requirement for adhesion GPCR ADGRL2 (latrophilin 2) in epidermal differentiation. Among potential downstream guanine nucleotide-binding G proteins, ADGRL2 selectively activated G13. Perturb-seq of epidermal G proteins and follow-up tissue knockouts verified that G13 is also required for epidermal differentiation. A cryo-electron microscopy (cryo-EM) structure in lipid nanodiscs showed that ADGRL2 engages with G13 at multiple interfaces, including via a novel interaction between ADGRL2 intracellular loop 3 (ICL3) and a G13-specific QQQ glutamine triplet sequence in its GTPase domain. In situ gene mutation of this interface sequence impaired epidermal differentiation, highlighting an essential new role for an ADGRL2-G13 axis in epidermal differentiation.

cell biology↗

Expression of MMP-11, an estrogen-suppressed gene in MCF-7 cells, is elevated upon acquisition of tamoxifen resistance

Matrix metalloproteinase-11 (MMP-11), also known as stromelysin-3, is a member of a large family of zinc-dependent proteinases. Known to be expressed in breast tumor stroma, the epithelium, and the associated mononuclear inflammatory cells, its expression is associated with invasion, metastasis, and poor clinical outcomes and survival rates. Despite the known effects of estrogen on extracellular matrix remodeling, and breast cancer metastasis, the role of MMP-11 therein is not understood. Here, we show that estrogen suppresses MMP-11 expression in MCF-7 breast cancer cells via a mechanism that involves binding of the estrogen receptor (ER) to an estrogen response element located in the intron-1 of MMP-11. ER knockdown alone upregulates MMP-11 expression, highlighting its crucial role in this regulatory axis. Additionally, the anti-estrogen tamoxifen (4-OHT) blocks estrogen-mediated MMP-11 suppression. However, prolonged 4-OHT exposure or 4-OHT resistance leads to increased MMP-11 expression. This suggests that MMP-11 may play a role in 4-OHT resistance, potentially leading to a more aggressive tumor phenotype. Our study underscores the importance of estrogen-ER signaling in breast cancer progression, emphasizing the need for further investigation into MMP-11s role in 4-OHT resistance and cancer metastasis.

cancer biology↗

Computing pathogenicity of mutations in human cytochrome P450 superfamily

Cytochrome P450 (CYP) are heme-containing enzymes involved in the metabolism of drugs and endogenous compounds. Humans have 57 known CYPs, with >200 mutations linked to severe disorders, highlighting their role in disease etiology. To investigate their pathogenicity, we performed an in-depth computational study, comparing pathogenic mutations with non-pathogenic ones. First, we evaluated the effects of all possible mutations across 26 known CYPs structures using five structure-and five sequence-based methods, aiming to reproduce pathogenesis. We computed 23,46,410 mutations, categorized into: all possible, non-pathogenic, and pathogenic. Comparisons consistently revealed a meaningful stability pattern: non-pathogenic > all > pathogenic. Second, we found that a significantly higher number of pathogenic mutations were buried in CYP structures, relating to their higher pathogenesis potential. Third, we analyzed mutation allele frequency relative to solvent accessibility. Fourth, we computed change in 48 amino acid properties upon mutation and identified three distinguishing features: Gibbs free energy, isoelectric point and volume. Fifth, the positive residue content was reduced significantly in diseased mutations, with arginine mutations being the main culprit, directly linked to isoelectric point change. Sixth, we found a higher propensity for pathogenic mutations in conserved sites, suggesting disruption of CYP function. Finally, analysis of heme versus substrate sites showed a higher frequency of pathogenic mutations in heme site, with arginine being the main mutating residue, possibly disrupting arginine-heme interactions. We provide the first comprehensive analysis of mutation effects across multiple CYPs. We model the chemical basis of CYP-related pathogenicity, paving way for a semi-quantitative model to predict diseases.

biophysics↗

Distinct region-specific neutralization profiles of contemporary HIV-1 clade C against best-in-class broadly neutralizing antibodies

Broadly neutralizing antibodies (bnAb) have been clinically proven to be an excellent choice for HIV-1 prevention. However, the relative effectiveness of best-in-class bnAbs against regionally relevant circulating HIV-1 forms is not clear. In the present study, we compared the degree of neutralization sensitivity of contemporary HIV-1 Indian clade C with that of South African origin. Phylogenetic analysis revealed that these clade C viruses continue to evolve distinctly from one another. Env-pseudotyped viruses prepared using contemporary HIV-1 clade C env genes (N=115) obtained from nine geographically distinct sites in India (between 2020-2023) were found to be most sensitive to V3-directed bnAbs 10-1074 and BG18, and second generation CD4 binding site (CD4bs) directed bnAbs (VRC07, N6 and 1-18), however they were found to be significantly resistant to V1/V2 apex directed bnAbs. Moreover, we observed that the degree of sensitivity varied between contemporary Indian and South African clade C viruses. Differences in degree of neutralization susceptibility were associated with differences observed in key residues that form bnAb contact sites, gp120 loop lengths and the number of N-linked glycans in the V4 hypervariable region. Interestingly, the second generation CD4bs bnAbs (VRC07, N6, 1-18) showed neutralization of VRC01 and 3BNC117 resistant viruses but with 2-7-fold reduced potency compared to the VRC01 sensitive counterparts, likely due to the enrichment of resistance associated residues observed in loop D. Predictive analysis indicated that combination of BG18, N6 and PGDM1400 can provide over 95% neutralization coverage at 1g/mL of contemporary India clade C, an observation found to be distinct to that reported for the Africa clade C viruses. Taken together, we found distinct neutralization patterns and env signatures associated with resistance to key bnAbs. Our study highlights that towards achieving clinical effectiveness, both the complementarity of bnAb classes and the regionally relevant HIV forms need to be considered. Author summaryWhile the development of vaccines to prevent HIV infection remains a global priority, their potential effectiveness is limited by the extraordinarily diversified circulating forms of HIV-1. The prospect of best-in-class bnAbs as potential prevention option has been demonstrated in several studies including the Phase II Antibody Mediated Prevention (AMP) trial; however, to be broadly applicable, bnAbs will need to overcome the substantial variability of HIV env. The present study highlights that the contemporary HIV-1 clade C viruses are evolving to be less sensitive to the best-in-class bnAbs and HIV-1 clade C that predominates in India and South Africa vary in their degree of susceptibility to best-in-class clinically relevant bnAbs. This indicates differences in the antigenic properties between globally circulating HIV-1 clade C at a population level. Overall, the outcome of this study highlights the need for periodic assessment of sequence and neutralization profiles of the circulating regionally relevant HIV-1 forms towards prioritizing the bnAb combination suitable for effective intervention.

immunology↗

Disease-Linked Regulatory DNA Variants and Homeostatic Transcription Factors in Epidermis

Identifying noncoding single nucleotide variants (SNVs) in regulatory DNA linked to polygenic disease risk, the transcription factors (TFs) they bind, and the target genes they dysregulate is a goal in polygenic disease research. Massively parallel reporter gene analysis (MPRA) of 3,451 SNVs linked to risk for polygenic skin diseases characterized by disrupted epidermal homeostasis identified 355 differentially active SNVs (daSNVs). daSNV target gene analysis, combined with daSNV editing, underscored dysregulated epidermal differentiation as a pathomechanism shared across common polygenic skin diseases. CRISPR knockout screens of 1772 human TFs revealed 108 TFs essential for epidermal progenitor differentiation, uncovering novel roles for ZNF217, CXXC1, FOXJ2, IRX2 and NRF1. Population sampling CUT&RUN of 27 homeostatic TFs identified allele-specific DNA binding (ASB) differences at daSNVs enriched near epidermal homeostasis and monogenic skin disease genes, with notable representation of SP/KLF and AP-1/2 TFs. This resource implicates dysregulated differentiation in risk for diverse polygenic skin diseases.

genetics↗

Emergence of Dip2-mediated Specific DAG-based PKC Signalling Axis in Eukaryotes

Diacylglycerols (DAGs) are used for metabolic purposes and are tightly regulated secondary lipid messengers in eukaryotes. DAG subspecies with different fatty-acyl chains are proposed to be involved in the activation of distinct PKC isoforms, resulting in diverse physiological outcomes. However, the molecular players and the regulatory origin for fine-tuning the PKC pathway are unknown. Here, we show that Dip2, a conserved DAG regulator across Fungi and Animalia, has emerged as a modulator of PKC signalling in yeast. Dip2 maintains the level of a specific DAG subpopulation, required for the activation of PKC-mediated cell wall integrity pathway. Interestingly, the canonical DAG-metabolism pathways, being promiscuous, are decoupled from PKC signalling. We demonstrate that these DAG subspecies are sourced from a phosphatidylinositol pool generated by the acyl-chain remodelling pathway. Furthermore, we provide insights into the intimate coevolutionary relationship between the regulator (Dip2) and the effector (PKC) of DAG-based signalling. Hence, our study underscores the establishment of Dip2-PKC axis about 1.2 billion years ago in Opisthokonta, which marks the rooting of the first specific DAG-based signalling module of eukaryotes.

cell biology↗

UniGEN-DDI: Computing drug-drug interactions using a unified graph embedding network

Finding drug-drug interaction is crucial for patient safety and treatment efficacy. Two drugs may show a synergistic effect but may sometimes cause a severe health issue, including lethality. Wet lab studies are often performed to understand such interactions but are limited by cost and time. However, the biochemical data generated can be explored to compute unknown interactions. Here, we developed a computational model named UniGEN-DDI (Unified Graph Embedding Network for Drug-Drug Interaction) for the estimation of interactions between drugs. It is a simple unified network model containing the biochemical information of drug association developed using the compiled data from DrugBank 5.1.0. The feature learning of the drugs was carried out using a combination of GraphSAGE and Node2Vec algorithms, which were found efficient in extracting diverse features. The simple architecture of our model led to a significant reduction in computational time compared to the baselines, while maintaining a high prediction accuracy. The model performed well on the data, which was equally distributed between interacting and non-interacting drugs. As a more challenging evaluation, we performed non-overlapping splitting of the data based on the drug action on different parts of the body, and our model performed well in both interaction estimation and time efficiency. Our model successfully identified the 12 unknown drug interactions in DrugBank 5.1.0, which were updated in DrugBank 6.0. HighlightsO_LIUniGEN-DDI: A simple unified network model was developed for drug-drug interactions. C_LIO_LINode embeddings were generated using GraphSAGE and Node2Vec algorithms. C_LIO_LIA significantly higher computational efficiency was achieved compared to baselines. C_LIO_LIModel validated in non-overlapping splitting of data targetting multiple body parts. C_LIO_LIUniGEN-DDI estimated unknown interactions verified in the updated DrugBank 6.0. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/615812v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@909caaorg.highwire.dtl.DTLVardef@1d7cfdorg.highwire.dtl.DTLVardef@1f8ca34org.highwire.dtl.DTLVardef@a340d6_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

A Cell-Permeable Fluorescent Probe Reveals Temporally Diverse PI(4,5)P2 Dynamics Evoked by Distinct GPCR Agonists in Neurons

Lipids, key constituents of cell-membranes, are the first responders to cell signals. At the crux of spatiotemporal dynamics of lipid-signaling response are phosphoinositides. Indeed, phosphoinositides like phosphatidylinositol-(4,5)-bisphosphate (PI(4,5)P2), present in the inner-leaflet of eukaryotic cell-membranes, form the link between signal reception and downstream signal-transmission. In this backdrop, reversible fluorescent probes that can track live PI(4,5)P2 dynamics on a seconds time-scale will afford key insights into lipid-mediated signaling. However, realizing cell-permeable PI(4,5)P2-selective sensors for imaging dynamics remains a challenge due to the presence of structurally similar lipids and low levels of PI(4,5)P2. We report a computationally-designed, rapid-response, reversible, photo-stable, fluorescent sensor that permeates living cells, neurons, and a multicellular organism within few min of direct incubation and distinctly visualizes PI(4,5)P2 pools. We used the sensor to interrogate the role of PI(4,5)P2 in driving heterogeneity of signaling responses and contrasting behavioral effects that ensue upon binding of distinct ligands to the same G protein-coupled receptor. Specifically, we asked whether probing PI(4,5)P2 dynamics using our novel sensor could uncover the earliest of signaling differences evoked by hallucinogenic versus non-hallucinogenic ligands at the serotonin2A (5-HT2A) receptor. Our results reveal that a hallucinogenic ligand at the 5-HT2A receptor leads to a slower rate of PI(4,5)P2-depletion when compared to a non-hallucinogenic ligand, within the initial seconds of ligand addition, but has a sustained effect. The ability of our designer chemical probe in timing early seconds-minute timescale lipid-dynamics in living cells opens avenues for tracking early time-point molecular events in neuronal response to chemical and physical stimuli.

biochemistry↗

A comprehensive multi-omics study reveals potential prognostic and diagnostic biomarkers for colorectal cancer

BackgroundColorectal cancer (CRC) is a complex disease with diverse genetic alterations and causes 10% of cancer-related deaths worldwide. Understanding its molecular mechanisms is essential for identifying potential biomarkers and therapeutic targets for its effective management. MethodWe integrated copy number alterations (CNA) and mutation data via their differentially expressed genes termed as candidate genes (CGs) computed using bioinformatics approaches. Then, using the CGs, we perform Weighted correlation network analysis (WGCNA) and utilise several hazard models such as Univariate Cox, Least Absolute Shrinkage and Selection Operator (LASSO) Cox and multivariate Cox to identify the key genes involved in CRC progression. We used different machine-learning models to demonstrate the discriminative power of selected hub genes among normal and CRC (early and late-stage) samples. ResultsThe integration of CNA with mRNA expression identified over 3000 CGs, including CRC-specific driver genes like MYC and APC. In addition, pathway analysis revealed that the CGs are mainly enriched in endocytosis, cell cycle, wnt signalling and mTOR signalling pathways. Hazard models identified four key genes, CASP2, HCN4, LRRC69 and SRD5A1, that were significantly associated with CRC progression and predicted the 1-year, 3-years, and 5-years survival times. WGCNA identified seven hub genes: DSCC1, ETV4, KIAA1549, NOP56, RRS1, TEAD4 and ANKRD13B, which exhibited strong predictive performance in distinguishing normal from CRC (early and late-stage) samples. ConclusionsIntegrating regulatory information with gene expression improved early versus latestage prediction. The identified potential prognostic and diagnostic biomarkers in this study may guide us in developing effective therapeutic strategies for CRC management.

bioinformatics↗

Dirichlet distribution parameter estimation with application in microbiome analyses

Microbiomes are of vital importance for understanding human and environmental health. However, quantifying microbial composition remains challenging and relies on statistical modeling of either the raw taxonomic counts or the relative abundances. Relative abundance measures are commonly preferred over the absolute counts to analyze and interpret microbiome (as the sampling fraction are unknown in sequence data) but currently there is no ideal distribution for carrying out this modeling . In this work, the Dirichlet distribution is proposed to model the relative abundances of taxa directly without the use of any further transformation. In a comprehensive simulation study, we compared biases and standard errors of two Methods of Moments Estimators (MMEs) and Maximum Likelihood Estimator (MLE) of the Dirichlet distribution. Comparison of each estimator is done over three different cases of differing sample size and dimension: (i) small dimension and small sample size; (ii) small dimension and large sample size; (iii) large dimension with both large and small sample size. We demonstrate the Dirichlet modeling methodology with four real world microbiome datasets and show how the results of the Dirichlet model differ from those obtained by a commonly used method, namely Bayesian Dirichlet-Multinomial estimation (BDME). We find that the results of parameter estimation can be dependent upon the sequencing depth and sequencing technique used to produce a given microbiome dataset. However, for all datasets, the Dirichlet MLE (DMLE) results are comparable to the BDME results while requiring less computational time in each case.

bioinformatics↗

VASP phase separation with priming proteins of fast endophilin mediated endocytosis modulates actin polymerization

Actin polymerization is essential in several clathrin-independent endocytic pathways including fast endophilin mediated endocytosis (FEME), however the actin machinery involved in FEME has been elusive. Here, we show that the actin polymerase VASP colocalizes and interacts directly with the FEME priming complex. We identify Endophilin as a VASP binding partner and establish novel non-canonical interactions between Endophilin and VASP. The major FEME regulators Endophilin and Lamellipodin interact multivalently with VASP to form liquid-like condensates both in solution and on lipid membranes that localize actin polymerization with the extent of actin polymerized regulated by multivalent Endophilin-Lamellipodin interactions. We identify a novel function for Endophilin condensates in bundling actin filaments and show that Endophilin directly binds filamentous actin. Our findings support a model that explains the connection between local actin polymerization and dynamic formation and dissolution of endocytic priming patches in FEME.

biochemistry↗

The molecular basis for the increased stability of the FUS-LC fibril at the anionic membrane- and air-water interfaces

AbstractSelf-organization of biomolecules can lead to the formation of liquid droplets, hydrogels, and irreversible aggregates that bear immense significance in biology and diseases. Despite the considerable amount of studies conducted on biomolecular condensation in bulk solution, there is still a lack of understanding of how different surfaces regulate the condensation process. In this context, recent studies showed that, in contrast to zwitterionic lipid membranes, anionic membranes promoted the production of liquid droplets of FUsed in Sarcoma Low Complexity domain (FUS-LC) despite exhibiting no specific protein-lipid interactions. Moreover, the air-water interface led to a solid fibril-like aggregate of FUS-LC. The molecular mechanism of condensation/aggregation of proteins in response to surfaces of various charged states or levels of hydrophobicity remains to be better elucidated. Here, we address this question by investigating the stability of a small {beta} fibril state of FUS-LC in bulk solution vs. membrane- and air-water interfaces. Our study demonstrates the stability of the FUS-LC fibril in the presence of anionic membranes over 1 {micro}s timescale while the fibril falls apart in bulk solution. We observe that a zwitterionic membrane does not enhance the stability of the fibril and 1,2-dioleoyl-sn-glycero-3-phospho-L-serine (DOPS) has a higher propensity to stabilize the fibril than dioleoylphosphatidylglycerol (DOPG), in qualitative agreement with experiments. We further show that the fibril becomes more stable at the air-water interface. We pinpoint interfacial solvation at the membrane- and air-water interfaces as a key factor that contributes to the stabilization of the peptide assembly.

biophysics↗

SecDATA: Secure Data Access and de novo TranscriptAssembly protocol - To meet the challenge of reliableNGS data analysis

Recent developments in sequencing technologies have created new opportunities to generate high-throughput biological data at an affordable price. Such high-throughput data needs immense computational resources for performing transcript assembly. Further, a high-end storage facility is needed to store the analyzed data and raw data. Here comes the need for centralized repositories to store such mountains of raw and analyzed data. Hence, it is of utmost importance to ensure data privacy for storing the data while performing transcript assembly. In this paper, we have developed a protocol named SecDATA which performs de novo transcript assembly ensuring data security. It consists of two modules. The first module deals with a framework for secured access and storage of data. The novelty of the first module lies in the employment of distributed ledger technology for data storage that ensures the privacy of the data. The second module deals with the development of an optimized graph-based method for de novo transcript assembly. We have compared our results with the state-of-art method de Bruijn graph and the popular pipeline Trinity, for transcript reconstruction, and our protocol outperforms them.

bioinformatics↗

The juxtamembrane linker of synaptotagmin 1 regulates Ca2+ binding via liquid-liquid phase separation

Synaptotagmin (syt) 1, a Ca2+ sensor for synaptic vesicle exocytosis, functions in vivo as a multimer. Syt1 senses Ca2+ via tandem C2-domains that are connected to a single transmembrane domain via a juxtamembrane linker. Here, we show that this linker segment harbors a lysine-rich, intrinsically disordered region that is necessary and sufficient to mediate liquid-liquid phase separation (LLPS). Interestingly, condensate formation negatively regulates the Ca2+-sensitivity of syt1. Moreover, Ca2+ and anionic phospholipids facilitate the observed phase separation, and increases in [Ca2+]i promote the fusion of syt1 droplets in living cells. Together, these observations suggest a condensate-mediated feedback loop that serves to fine-tune the ability of syt1 to trigger release, via alterations in Ca2+ binding activity and potentially through the impact of LLPS on membrane curvature during fusion reactions. In summary, the juxtamembrane linker of syt1 emerges as a regulator of syt1 function by driving self-association via LLPS.

neuroscience↗