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Biology subjects

Yin, Y.

Publications and source records attributed to Yin, Y..

At least 73 records · Page 4Linked to original sources

An intercellular signaling pathway in the mouse retina connects Kv2.1, GLT-1, and nitric oxide synthase 1 to optic nerve regeneration

We report here that a multicellular signaling pathway in the mouse retina targeting glutamate homeostasis and nitric oxide production is activated upon optic nerve injury and modulates reti-nal ganglion cells (RGCs) ability to mount a robust regenerative response. A novel highly sen-sitive and specific NO sensor (FL2) revealed that optic nerve injury leads to a rapid, prolonged elevation of NO in the inner retina. Amacrine cell-specific genetic deletion of the neuron-specific isoform of nitric oxide synthase (NOS1, nNOS) or the NOS1 inhibitor N(w)-propyl-L-arginine (L-NPA) suppressed optic nerve regeneration. Steps leading to NOS1 activation are shown to in-clude Kv2.1 phosphorylation and activation, reversal of glutamate uptake by the glutamate transporter GLT-1 (EAAT2), and subsequent NMDA receptor activation. Conditional knockout of the glutamate transporter GLT-1 in bipolar cells, intraocular injection of the GLT-1 blockers dihydrokainate (DHK) or WAY213613, the N-methyl-D-aspartate (NMDA) receptor antagonist D-2-amino-5-phosphonovalerate (D-AP5), or the Kv2.1 blockers RY796 or stromatoxin all sup-pressed NO generation and strongly diminished RGCs ability to respond to Pten deletion and other factors. Thus, optic nerve injury activates a sequence of pathophysiological changes in retinal interneurons that gates RGCs ability to regenerate injured axons. Significance StatementCells use extracellular signals to coordinate responses to injury and to promote repair and re-generation. The NMDA receptor, which has a high affinity for glutamate and is functionally cou-pled to nitric oxide synthase, has the potential to mediate such responses by responding to changes in extracellular glutamate. In the mouse retina after optic nerve injury, potassium channels in retinal ganglion cells, glutamate transporters in neighboring cells, and NMDA recep-tors in amacrine cells, are all involved in a pathway that regulates the generation of nitric oxide, which we show promotes axon regeneration after injury.

neuroscience↗

Latent transforming growth factor binding protein-2 (LTBP2), an IPF biomarker of clinical decline, promotes TGF-beta signaling and lung fibrosis in mice

The identification of clinically predictive serum biomarkers for pulmonary fibrosis is a significant challenge and important goal. Multiple recent proteomic biomarker studies have identified latent transforming growth factor binding protein-2 (LTBP2) as a circulating factor associated with disease progression in fibrotic lung diseases in humans (including IPF), but its role in the development of fibrosis is incompletely defined. LTBP2 competes with the large latent transforming growth factor-beta (TGF{beta}) complex (LLC) for binding to the N-terminus of fibrillin and is thought to promote the release of active TGF{beta}. We hypothesized that LTBP2 deficiency would promote LLC sequestration in matrix and reduce TGF{beta} signaling. We recently reported an LTBP2 knockout (Ltbp2-/-) mouse with no baseline lung abnormalities. Here we show that Ltbp2-/- mice exposed to either bleomycin or silica have a significant reduction in fibrosis compared to wild type controls. Consistent with reduced fibrosis, after bleomycin Ltbp2-/- mouse lungs have reduced TGF{beta} signaling and isolated fibroblasts from Ltbp2-/-mice exhibit impaired migration in an in vitro wound closure assay. Transcriptomic analysis of bleomycin-treated control and Ltbp2-/- mouse lung tissue identified multiple LTBP2-regulated genes, including the lncRNA antisense of IGFR2 non-coding RNA (Airn) which has reported antifibrotic effects. Interestingly, we also observed that Ltbp2-/- mice had impaired epithelial repair after bleomycin treatment, a phenotype that also occurred in a naphthalene model of club cell injury. These findings provide evidence that LTBP2 is profibrotic and facilitates TGF{beta} signaling but is also required for normal airway epithelial repair.

pathology↗

The Role of N-acetylcysteine Amide in Acute Graft-versus-host Disease Mouse Model

Graft-versus-host disease (GvHD) remains one of the major complications following allogeneic hematopoietic cell transplantation (allo-HCT), resulting in reduced quality of life, morbidity, and mortality in transplanted patients. Clinical strategies to prevent GvHD are frequently associated with off-target effects and dose-related toxicity. Given that oxidative stress is elevated in allo-HCT recipients and contributes to the pathogenesis of GvHD, the current study aims to characterize the role of N-acetylcysteine amide (NACA), a novel antioxidant, as the prophylactic treatment for acute GvHD. Using a murine GvHD model, we found that oral administration of NACA significantly reduced GvHD severity, prolonged survival, and improved the clinical manifestations and integrity of target organs compared to saline or N-acetylcysteine (NAC) treatment. NACA modulated splenic T cells differentiation with an increase in the regulatory (Treg) subset and a decrease in the cytotoxic (CD8+) subset. Moreover, inflammatory mediators, such as ROS and pro-inflammatory cytokines were downregulated by NACA treatment. In addition, NACA hindered donor T-cell proliferation in the recipients, and restrained Th1 and Th17, but not Th2 polarization. Importantly, NACA did not influence full donor engraftment in bone marrow and spleen. Taken together, our findings provide a new candidate for GvHD prophylactic treatment by targeting oxidative stress that can be easily translated to clinical use. Key PointsO_LINACA provides superior prophylactic effect against aGvHD compared to NAC in an allogeneic transplantation mouse model. C_LIO_LINACA treatment neither showed systemic toxicity nor altered the engraftment of the donor cells. C_LI

pharmacology and toxicology↗

ZBP1 Senses Splicing Aberration through Z-RNA to promote Cell Death

RNA splicing, a highly regulated process performed by the spliceosome, is crucial for eukaryotic gene expression and cellular function. Numerous cellular stresses including oncogenic insults dysregulate RNA splicing, often provoking inflammatory responses and cell death. However, the molecular signal produced by spliceosome aberration and how cell sensed and respond to it remain elusive. Here we show that spliceosome inhibition induces the widespread formation of unique, left-handed nucleic acids, Z-form nucleic acids (Z-NAs) from the nucleus. These Z-NAs were double-stranded RNA (dsRNA), rather than DNA-RNA hybrids, that were predominantly derived from transcripts of mis-spliced intronic RNA. Spliceosome inhibition induced the egress of these Z-RNA from the nucleus to the cytoplasm in an active manner. Sensing of the accumulation of Z-RNA in the cytosol by the host sensor ZBP1 triggered cell death, mainly for RIPK3-MLKL dependent necroptosis. Collectively, these findings delineate a previously uncharacterized mechanism in which Z-NA sensing by ZBP1 responds to global aberrations of RNA splicing to trigger inflammatory cell death.

cell biology↗

Multidimensional characterization of cellular ecosystems in Hodgkin lymphoma

The tissue architecture of classic Hodgkin Lymphoma (CHL) is unique among cancers and characterized by rare malignant Hodgkin and Reed-Sternberg cells that co-evolve with a complex ecosystem of immune cells in the tumor microenvironment (TME). The lack of a comprehensive systems-level interrogation has hindered the description of disease heterogeneity and clinically relevant molecular subtypes. Here, we employed an integrative, multimodal approach to characterize CHL tumors using malignant cell sequencing, spatial transcriptomics and imaging mass cytometry. We identified four molecular subtypes (CST, CN913, STB, and CN2P), each characterized by distinct clinical features, mutational patterns, malignant cell gene expression profiles, and spatial architecture involving immune cell populations. Functional modeling of CSF2RB mutations, a characteristic feature of the CST subtype, revealed dysregulated oncogenic signaling and unique TME crosstalk. These findings highlight the significance of multi-dimensional profiling in elucidating patterns of molecular alterations that drive immune ecosystems and underlie therapeutically exploitable vulnerabilities.

cancer biology↗

Pan-cancer transcriptional regulatory network analysis reveals key drivers and epigenetic modulators in tumorigenesis

Cancer remains a leading cause of mortality worldwide, largely due to the complexity of its transcriptional and epigenetic dysregulation. However, integrating multi-omics data to construct context-specific transcriptional regulatory networks (TRNs) and dissecting their pan-cancer relevance remain challenging. Here, we developed a framework integrating gene expression, chromatin accessibility, and DNA methylation data to reconstruct TRNs across 16 cancer types from The Cancer Genome Atlas. Using the PECA model, we identified TF-RE-TG (transcription factor-regulatory element - target gene) regulatory relationships and refined networks using protein-protein interaction or methylation-aware filtering. Our analysis revealed cancer-specific and pan-cancer dysregulated TFs and TGs. Notably, hub TFs like TBP and SP2 orchestrated pan-cancer modules linked to DNA repair. Survival analysis identified prognostic TGs (e.g., TAS2R14, ANLN), while enhancer and methylation analyses highlighted epigenetic-related regulatory axes (e.g., NFIB-RPS6KB2, MYB-BTK) in tumorigenesis. Our study provides a comprehensive resource of cancer TRNs, unveiling conserved regulatory mechanisms and epigenetic vulnerabilities, with implications for precision oncology.

bioinformatics↗

tMHG-Finder: Tree-guided Maximal Homologous Group Finder for Bacterial Genomes

A maximal homologous group, or MHG, as a group of sequences with a shared evolutionary ancestry, shifts the focus from a genecentric view to a homology-centric view in comparative genomic studies. Each MHG is formed by identifying and grouping all homologous sequences, which ensures that evolutionary events, such as horizontal gene transfer, gene duplication and loss, or de novo sequence evolution, are encapsulated within the same MHG. However, the current MHG computation tool, MHG-Finder, faces challenges in scalability to handle large datasets and lacks the ability to provide detailed insights into intermediate MHGs involving subsets of input genomes. We present tMHG-Finder (https://github.com/yongze-yin/tMHG-Finder), a new method that improves our previous method, MHG-Finder, by utilizing a guide tree to significantly improve scalability and provide more informative biological results. We also introduce a new measure, fractionalization (available at https://github.com/yongze-yin/Fract-Calculator), to assess the accuracy of delineated MHGs compared to ground truth data. Our results show that tMHG-Finder scales linearly with the number of taxa, requiring a small fraction of the computational time of MHG-Finder. Furthermore, according to the fractionalization measure, tMHG-Finder outperforms four state-of-the-art whole-genome aligners on simulated data. Applying tMHG-Finder to a phylum of extreme-environment-resistant bacteria, we validated our results through the encapsulation of 16S rRNA sequences within MHGs. We further investigated how evolutionary rates change with phylogenetic distance and explored the functional roles of genes captured by conserved MHGs, demonstrating the broader utility of tMHG-Finder in uncovering evolutionary insights beyond MHG delineation and phylogenetic relationships.

evolutionary biology↗

Structural insights into the ubiquitin independent MIDN-proteasome pathway

The protein midnolin (MIDN) augments proteasome activity in lymphocytes, where it is predominantly expressed in adult mice. MIDN binds both to proteasomes and to substrates, but the mechanism by which MIDN facilitates substrate degradation in a ubiquitin-independent manner is unknown. Here, we present cryo-electron microscopy structures of the substrate-engaged, MIDN-bound human proteasome in two conformational states. MIDN induces proteasome conformations similarly to ubiquitinated substrates by using its ubiquitin-like domain to bind to the deubiquitinase RPN11. By simultaneously binding to RPN1 with its C-terminal -helix, MIDN positions its substrate-carrying Catch domain above the proteasome channel through which substrates are translocated before degradation. Our findings suggest that both ubiquitin-like domain and C-terminal -helix must bind to the proteasome for MIDN to stimulate proteasome activity.

biophysics↗

Spatial Total RNA Sequencing of Formalin-Fixed Paraffin Embedded Tissues by spRandom-seq

Current oligo(dT) primers-based spatial transcriptomic methods are limited to fresh or fresh-frozen samples due to the low efficiency of oligo(dT) primers in capturing RNAs in degraded or microbial samples. Here, we have developed a random primer-based spatial total RNA sequencing (spRandom-seq) technology for simultaneously capturing whole host and microbial RNAs in formalin-fixed paraffin-embedded (FFPE) tissues. spRandom-seq eliminated 3 or 5 gene-body biases and outperformed oligo(dT)-based 10X Visium with an 8-fold higher capturing rate for lncRNA and other non-polyadenylated RNA biotypes, including miRNA, snRNA and miscRNA. In the clinical FFPE sections of breast cancer, we revealed the inherent heterogeneity within the tumor region. We also simultaneously captured host and microbial RNAs in Klebsiella pneumoniae-infected sections. Totally, spRandom-seq provided a versatile tool for both clinical pathology and infection biology with established spatial platforms, ensuring ease of operation and large-scale applications.

genomics↗

Proteomic Ligandability Maps of Phosphorus(V) Stereoprobes Iden-tify Covalent TLCD1 Inhibitors

Activity-based protein profiling (ABPP) of stereoisomerically defined sets of electrophilic compounds ( stereoprobes) offers a versatile way to discover covalent ligands for proteins in native biological systems. Here we report the synthesis and chemical proteomic characterization of stereoprobes bearing a P(V)-oxathiaphospholane (OTP) reactive group. ABPP experiments identified numerous proteins in human cancer cells that showed stereoselective reactivity with OTP stereoprobes, and we confirmed several of these liganding events with recombinant proteins. OTP stereoprobes engaging the poorly characterized transmembrane protein TLCD1 impaired the incorporation of monounsaturated fatty acids into phosphatidylethanolamine lipids in cells, a lipidomic phenotype that mirrored genetic disruption of this protein. Using AlphaFold2, we found that TLCD1 structurally resembles the ceramide synthase and fatty acid elongase families of coenzyme A-dependent lipid processing enzymes. This structural similarity included conservation of catalytic histidine residues, the mutation of which blocked the OTP stereoprobe reactivity and lipid remodeling activity of recombinant TLCD1. Taken together, these data indicate that TLCD1 acts as a lipid acyltransferase in cells, and that OTP stereoprobes function as inhibitors of this enzymatic activity. Our findings thus illuminate how the chemical proteomic analysis of electrophilic compounds can facilitate the functional annotation and chemical inhibition of a key lipid metabolic enzyme in human cells.

biochemistry↗

The metabolic enzyme GYS1 condenses with NONO/p54nrb in the nucleus to spatiotemporally regulate glycogenesis and myogenic differentiation

Accumulating evidence indicates that metabolic enzymes can directly couple metabolic signals to transcriptional adaptation and cell differentiation. Glycogen synthase 1 (GYS1), the key metabolic enzyme for glycogenesis, is a nucleocytoplasmic shuttling protein compartmentalized in the cytosol and nucleus. However, the spatiotemporal regulation and biological function of nuclear GYS1 (nGYS1) microcompartments remain unclear. Here, we show that GYS1 dynamically reorganizes into nuclear condensates under conditions of glycogen depletion or transcription inhibition. nGYS1 complexes with the transcription factor NONO/p54nrb and undergoes liquid-liquid phase separation to form biomolecular condensates, leading to its nuclear retention and inhibition of glycogen biosynthesis. Compared to their wild-type littermates, Nono-deficient mice exhibit exercise intolerance, higher muscle glycogen content, and smaller myofibers. Additionally, Gys1 or Nono deficiency prevents C2C12 differentiation and cardiotoxin-induced muscle regeneration in mice. Mechanistically, nGYS1 and NONO co-condense with the myogenic transcription factor MyoD and preinitiation complex (PIC) proteins to form transcriptional condensates, driving myogenic gene expression during myoblast differentiation. These results reveal the spatiotemporal regulation and subcellular function of nuclear GYS1 condensates in glycogenesis and myogenesis, providing mechanistic insights into glycogenoses and muscular dystrophy.

cell biology↗

Unveiling the Evolution of Antimicrobial Peptides in Gut Microbes via Foundation Model-Powered Framework

Antimicrobial resistance poses a growing threat to public health, emphasizing the urgent need for novel therapeutic strategies. Antimicrobial peptides (AMPs), short peptide sequences with diverse mechanisms of action, offer a promising alternative due to their broad-spectrum activity against pathogens. Recent advances in protein language models (PLMs) have revolutionized protein structure prediction and functional annotation, highlighting their potential for AMP discovery and therapeutic development. In this context, we present AMP-SEMiner (Antimicrobial Peptide Structural Evolution Miner), an AI-driven framework designed to identify AMPs from metagenome-assembled genomes (MAGs). By integrating PLMs, structural clustering and evolutionary analysis into the framework, AMP-SEMiner can identify AMPs encoded by small open reading frames (smORFs) and encrypted peptides (EPs), significantly expanding the discovery space. Using this approach, we identified 1,670,600 AMP candidates from diverse habitats. Experimental validation of 29 candidates revealed antimicrobial activity in 18, with 13 surpassing antibiotics in effectiveness. Further analysis of AMPs from human gut microbiomes demonstrated both conserved and adaptive evolutionary strategies, ensuring their functional efficacy in the dynamic gut environment. These findings position AMP-SEMiner as a powerful tool for the discovery and characterization of novel AMPs, with significant potential to drive the development of new antimicrobial therapies.

microbiology↗

Recessive but damaging alleles of muscle-specific ribosomal protein gene RPL3L drive neonatal dilated cardiomyopathy

The heart employs a specialized ribosome in its muscle cells to translate genetic information into proteins, a fundamental adaptation with an elusive physiological role1-3. Its significance is underscored by the discovery of neonatal patients suffering from often fatal heart failure caused by severe dilated cardiomyopathy when both copies of the gene RPL3L are mutated4-9. RPL3L is a muscle-specific paralog1-3 of the ubiquitous ribosomal protein L3 (RPL3), which makes the closest contact of any protein to the ribosomes RNA-based catalytic center10. RPL3L-linked heart failure represents the only known human disease associated with tissue-specific ribosomes, yet the underlying pathogenetic mechanisms remain poorly understood. Intriguingly, disease is linked to a large number of mostly missense variants in RPL3L, and RPL3L-knockout resulted in no severe heart defect in either human or mice3, 11-13, challenging the prevailing view that autosomal recessive diseases are caused by loss-of-function mutations. Here, we report three new cases of RPL3L-linked severe neonatal heart failure and present a unifying pathogenetic mechanism by which a large number of variants in the muscle-specific ribosome led to disease. Specifically, affected families often carry one of two recurrent toxic gain-of-function variants alongside a family-specific putative loss-of-function variant. While the non-recurrent variants often trigger partial compensation of RPL3 similar to Rpl3l-knockout mice, both recurrent variants exhibit increased affinity for the RPL3/RPL3L chaperone GRWD114-16 and 60S biogenesis factors, sequester 28S rRNA in the nucleus, disrupt ribosome biogenesis, and trigger severe cellular toxicity that extends beyond the loss of ribosomes. These findings provide critical insights for genetic screening and therapeutic development of neonatal heart failure. Our results suggest that gain-of-toxicity mechanisms may be more prevalent in autosomal recessive diseases, and a combination of gain-of-toxicity and loss-of-function mechanisms could underlie many diseases involving genes with paralogs.

molecular biology↗

CAZyme3D: a database of 3D structures for carbohydrate-active enzymes

CAZymes (Carbohydrate Active EnZymes) degrade, synthesize, and modify all complex carbohydrates on Earth. CAZymes are extremely important to research in human health, nutrition, gut microbiome, bioenergy, plant disease, and global carbon recycling. Current CAZyme annotation tools are all based on sequence similarity. A more powerful approach is to detect protein structural similarity between query proteins and known CAZymes indicative of distant homology. Here, we developed CAZyme3D (https://pro.unl.edu/CAZyme3D/) to fill the research gap that no dedicated 3D structure databases are currently available for CAZymes. CAZyme3D contains a total of 870,740 AlphaFold predicted 3D structures (named Whole dataset). A subset of CAZymes 3D structures from 188,574 nonredundant sequences (named ID50 dataset) were subject to structural similarity-based clustering analyses. Such clustering allowed us to organize all CAZyme structures using a hierarchical classification, which includes existing levels defined by the CAZy database (class, clan, family, subfamily) and newly defined levels (subclasses, structural cluster [SC] groups, and SCs). The inter-family structural clustering successfully grouped CAZy families and clans with the same structural folds in the same subclasses. The intra-family structural clustering classified structurally similar CAZymes into SCs, which were further classified into SC groups. SCs and SC groups differed from sequence similarity-based CAZy subfamilies. With CAZyme structures as the search database, we created job submission pages, where users can submit query protein sequences or PDB structures for a structural similarity search. CAZyme3D will be a useful new tool to assist the discovery of novel CAZymes by providing a comprehensive database of CAZyme 3D structures.

bioinformatics↗

Synergistic activation of the human phosphate exporter XPR1 by KIDINS220 and inositol pyrophosphate

Inorganic phosphate (Pi) is fundamental to life, and its intracellular concentration must be tightly regulated to prevent toxicity. XPR1, the only known phosphate exporter, plays a crucial role in maintaining this delicate balance. However, the mechanisms underlying the function and regulation of XPR1 remain elusive until now. Here we present cryo-electron microscopy structures of the human XPR1-KIDINS220 complex in both substrate-free closed states and substrate-bound outward-open states, as well as the structure of an XPR1 mutant alone in a substrate-bound inward-facing state. In the presence of inositol hexaphosphate (InsP6) and phosphate, the XPR1-KIDINS220 complex adopts an outward-open conformation. InsP6 binds both the SPX domain and the peripheral juxtamembrane regions of XPR1, indicative of an active phosphate-export state. Conversely, in the absence of either phosphate or InsP6, the complex assumes a closed state, where the extracellular half of transmembrane 9 occupies the outward cavity, and a C-terminal plug-in loop blocks the intracellular cavity. Notably, XPR1 without KIDINS220 adopts a closed state despite the presence of phosphate and InsP6. The functional mutagenesis experiments further demonstrate that InsP6, whose concentrations fluctuate in response to Pi availability, functions synergistically with KIDINS220 to regulate the phosphate export activity of XPR1. These findings not only elucidate the intricate mechanisms of cellular phosphate regulation but also hold promise for the development of targeted therapies for ovarian cancer, where XPR1 plays a significant role.

biophysics↗

Structure of the human taurine transporter TauT reveals substrate recognition and mechanisms of inhibition

Taurine, a sulfur-containing amino acid, plays a crucial role in human health due to its antioxidant, anti-inflammatory, osmoregulatory properties 1,2. Taurine levels are primarily regulated by the sodium-/chloride-dependent taurine transporter (TauT) 3. Inhibitors of TauT have potential in the treatment of certain diseases, including neurological disorders and cancer 4,5. Here, we present five structures of TauT: in the substrate-free apo state, in complex with taurine and in complex with taurine-mimetic inhibitors {beta}-alanine, GABA and guanidinoethyl sulfonate (GES), each with varying length of linear structure, in both inward-facing and occluded conformations. The taurine-, {beta}-alanine- and GABA-bound hTauT structures, in the presence of NaCl, adopt an occluded conformation, with ligands binding in the central pocket. In the presence of KCl, GES-bound hTauT adopts an inward-facing conformation, with two molecules positioned along the substrate translocation pathway with one into the deep central cavity and the other precluded conformational change from inward-facing to occluded state. Combined with function analysis, our structures provided insights into the overall architecture, substrate coordination and inhibitor recognition mechanisms of TauT.

biophysics↗

In-silico modeling and interpretation of RBP binding disentangle m6A-RBP interaction

RNA binding protein (RBP) binding and N6-methyladenosine (m6A) are both essential post-transcriptional regulatory layers for RNA fate decisions. However, the intricate mechanism underlying the interaction between m6A and RBP binding remains underexplored. Here, we develop TransRBP, an interpretable deep learning framework, to model the base-resolution binding of RBPs from RNA sequences and to subsequently investigate the interaction between m6A and RBPs. TransRBP achieves a median accuracy of 0.59 across 32 m6A-related RBPs, representing a 28% increase over the state-of-the-art model. Using gradient-based interpretation, we demonstrate that the binding motifs of the m6A-related RBPs strongly enrich for splicing consensus, laying a foundation for studying the RBP-dependent crosstalk between m6A and splicing. Moreover, we develop an in-silico mutagenesis assay to assess the impact of m6A on RBPs, and utilize the self-attention mechanism to elucidate the interplay between RBP binding and m6A. We further uncover 1,806 variant-RBP combinations with the in-silico mutagenesis, revealing variants that strongly alter RBP binding for genetic diseases including Parkinsons disease, autism, and cardiomyopathy. In particular, we identify m6A cis-acting variants that alter RBP binding in an m6A-proximal manner, including the binding of UPF1 that contributes to Alzheimers disease, and the DDX3X binding to cardiomyopathy and muscular dystrophy. Together, TransRBP accurately models the binding of RBP and its interaction with m6A, shedding light on the m6A-RBP dynamics and providing multi-layer mechanistic insights for genetic diseases.

bioinformatics↗

Structural insights into cholesterol sensing by the LYCHOS-mTORC1 pathway

The mechanistic target of rapamycin complex 1 (mTORC1) pathway regulates cellular metabolism and growth by coordinating nutrient resources, including cholesterol, and its aberrant activation is linked to various age-related diseases. LYCHOS is a cholesterol sensor on the lysosome and bound to the GATOR1 complex, a GTPase-activating protein for the Rag GTPase, at high cholesterol concentrations, thereby activating the protein kinase mTORC1. However, how LYCHOS senses cholesterol and transduces signal to GATOR1 remain largely unknown. Here we report six cryo-electron microscopy structures of human LYCHOS, depicting five distinct states. These are categorized into a contracted state when complexed with a sufficient amount of the cholesterol analogue cholesteryl hemisuccinate (CHS), and an expanded state when CHS is deficient. The structure forms a homodimer, within each monomer the transmembrane region is divided into a permease-like domain (PLD) and a GPCR-like domain (GLD) with two clearly defined adjacent cholesterol binding sites between them. The PLD shares a conserved Na+/H+ antiporter (NhaA) fold, which much resembles plant auxin transporter PINs. Cholesterol locates between PLD and GLD and cholesterol binding induces a translation of GLD towards PLD and exposes the cytosolic extension of transmembrane 15, which mediates the interaction between LYCHOS and GATOR1. Strikingly, structure-guided mutations of Gly702 in GLD of LYCHOS increase its affinity for cholesterol, leading to sustained mTORC1 activation in cells. This indicates that LYCHOSs moderate affinity for cholesterol is crucial as a cholesterol sensor. Our results not only showed a solute carrier mechanistically coordinates a GPCR domain, elucidating the structural mechanism of cholesterol sensing by the mTORC1 pathway on the lysosome; but also provides a structural basis for developing inhibitors that selectively target to mTORC1 pathway to treat age-related diseases by blocking LYCHOS in its expanded state.

biochemistry↗