bioRxiv Science⌕ Search

Biology subjects

Cheng, R.

Publications and source records attributed to Cheng, R..

At least 19 recordsLinked to original sources

Reciprocal effective conductance-based inference of protein-protein relationships delineates protein network hubs and macromolecular properties

Protein-protein interactions (PPIs) are fundamental to the regulation and function of all cellular processes, yet our current understanding of the human interactome is limited by the specific PPI-related experiments performed to date. Moreover, whereas proteins with minimal research interest may have relatively few interaction-probing studies, other factors such as cancer related proteins are frequently represented in PPI studies, producing a highly uneven bias across current PPI data. Here, we apply effective conductance - a concept from circuit theory - to infer proximity relationships across all individual protein pairs on the basis of 1.2 million reported human PPI observations. Using a reciprocal analysis framework built on effective conductance, we identify statistically meaningful interactions within the network while otherwise filtering nonrelevant associations that are abundant in proteins with strong popularity bias. While this approach helps clarify the structural and functional properties of both minimally and maximally connected proteins, we further compute an interaction index between all macromolecular, multi-subunit complexes based on underlying protein-protein conductance scores. Leveraging this framework, which we name CoBRAA (Conductance-Based Reciprocal Association Analysis), we highlight unexpected findings, such as evidence that DNA-dependent RNA polymerase I, II, and III are characterized by surprisingly pervasive cross-complex interactions between enzyme-specific subunits, suggesting a potential for crosstalk between all three RNA polymerases. We further introduce CoBRAA as an open-access research tool that enables custom, user-specified exploration of both protein- and macromolecular-level interactions. We expect this resource to facilitate broader investigation and hypothesis generation across a wide range of proteins, pathways, and macromolecular systems.

bioinformatics↗

Genomic SEM reveals shared genetic architecture and expands locus discovery for locomotor activity in heterogeneous stock rats

Locomotor response to a novel environment is a heritable, addiction-relevant behavioral phenotype in rodents. We characterized its genetic basis in 9,341 male and female heterogeneous stock (HS) rats from eight studies. Locomotor activity was heritable across studies, while pairwise genetic correlations were positive but variable, indicating shared yet nonidentical genetic influences. Given nonuniform genetic architecture, we compared three complementary approaches to locus discovery that analyzed SNP effects 1) on a pooled locomotor phenotype (MEGA), 2) across studies under a fixed-effect model (METAL), or 3) on a shared genetic factor (Genomic SEM). To ensure comparability, all three locus-discovery approaches were applied to a common subset of seven studies. Together, these approaches identified 38 loci, with both convergence and method-specific discovery across analyses. Genomic SEM identified 31 loci, compared to 8 for MEGA and 13 for METAL. To interpret the loci, we integrated brain molecular QTLs, predicted coding and splice consequences, and open-field locomotor phenotypes from knockouts of orthologous mouse genes. Our results highlighted established neurobehavioral candidates spanning locomotor and reward-related biology (Negr1 and Lmo4), serotonergic signaling (Htr1b), and GABAergic signaling (Gabrg2), as well as relatively novel genes including Tcerg1l, Pcdh10, and Tmem132e. Our results illustrate how Genomic SEM can integrate genetically correlated yet heterogeneous behavioral measures and enable discovery of loci underlying their shared genetic architecture, highlighting its utility for complex-trait studies in rodents.

genetics↗

Genome-wide association study in Heterogeneous Stock rats identifies genetic loci associated with aversion-based learning and cocaine aversion

Addiction is a complex and heritable trait which progresses through several developmental stages, each of which is presumably influenced by multiple partially overlapping genetic factors. Cocaine initially produces rewarding effects, followed by aversive effects including anxiety, craving, anhedonia, and withdrawal. These aversive effects have been suggested to contribute to the etiology of cocaine use disorders (CUD), as repeated exposure is thought to desensitize the rewarding effects and sensitize the aversive effects through a process involving both aberrant reward-based learning and aberrant avoidance-based learning. We examined the genetic basis of aversion learning using both food-based and cocaine-based behavioral assays in outbred Heterogenous Stock (HS) rats. A total of 1,074 HS rats (35.3% male) underwent runway operant cocaine-seeking, food-based progressive ratio and punishment testing, and locomotion testing. These phenotypes were significantly heritable (with h2 estimates as high as 0.307) and identified significant (p < 0.05) genetic loci related to avoidance-based learning including from the punishment task on Chromosomes 2, 3, 5, and 6, and the cocaine-operant runway latency task on Chromosome X. 172 positional candidate genes were identified from significant and suggestive loci, including Cdh10, Cdh12, Cdh18 which have previously been associated with smoking initiation from human GWAS, Adcy3, Cfap206, and Drc1 which are associated with primary neuronal cilia, as well as SNPs associated with novelty-related and social interaction phenotypes in independent samples of HS rats. Our results suggest that these aversion learning phenotypes are themselves complex heritable traits influenced by multiple genetic loci, which may pleiotropically affect other aspects of addiction biology.

genetics↗

Genomic diversification underlies the broad ecological range of Salmonella enterica serotype Typhimurium

Salmonella Typhimurium is a versatile foodborne pathogen with a broad ecological range, making it an ideal model to better understand pathogen adaptations that allow them to infect multiple hosts and persist across environments. Here, we analyzed 595 genomes of S. Typhimurium representing three food animal sources (bovine, swine, and poultry) and one non-food animal source (wild birds). We found that S. Typhimurium from food animal sources generally had a more open pangenome and harbored more antimicrobial resistance genes (ARGs). Notably, swine isolates exhibited the most open pangenome and the highest prevalence of ARGs, patterns that were associated with a greater presence of mobile genetic elements, particularly plasmids. Despite similar core genome sizes, S. Typhimurium from different sources displayed distinct patterns of positive selection in the core genome that varied in frequency and targeted functional categories. In contrast, although accessory genome sizes varied substantially across sources, the frequency of positive selection remained similar. Using machine learning, we identified source-predictive genetic variants, many of which are associated with stress-response functions. These findings suggest that gain and loss of accessory genes and positive selection acting on core genes support differential adaptation in S. Typhimurium, potentially contributing to its broad ecological range.

genomics↗

Genetic Architecture of Addiction-Relevant Behaviors in Outbred Sprague-Dawley Rats Reveals Loci for Anxiety-Like and Nociceptive Traits

Studies have shown that substance use liability is associated with novelty seeking, anxiety-like behavior, and pain sensitivity. We examined whether common genetic variation in outbred Sprague-Dawley rats explained variation in behavioral measures from three assays with established links to substance use: locomotor response to a novel environment, elevated plus maze, and tail flick. We estimated single-nucleotide polymorphism heritability and performed genome-wide association analyses using permutation-derived significance thresholds (N=534-654 rats across traits). Heritability estimates ranged from 0.14-0.38 across eleven traits. Three independent loci were identified: chromosome 1 for elevated plus maze open-arm behavior (=0.05), chromosome 14 for elevated plus maze immobility (=0.10), and chromosome 17 for tail flick latency (=0.05). Candidate genes included Slc18a2, Gfra1, and Pdzd8 (chromosome 1); Rel and Bcl11a (chromosome 14); and Eci2 and Eci3 (chromosome 17). We compared these loci with our genome wide association study of a F2 intercross of selectively bred high- and low-responder rats, originally derived from Sprague-Dawleys, that model individual differences in externalizing and internalizing behavior. The current loci are distinct from the ones identified in the bred lines. This difference likely reflects selection history in the high- and low-responder F2s, which focused on facets of exploratory locomotion, while loci for anxiety and pain sensitivity traits were identified in the outbreds. This highlights the benefit of using both outbred and selectively bred rats to probe causal variants contributing to individual differences in substance use liability. The current outbred findings implicate monoaminergic signaling, transcriptional control, and lipid metabolism as testable mechanisms for addiction-relevant behaviors.

genetics↗

Sub-stoichiometric Degradation is Dispensable for Potent PROTACs: A Case Study for Irreversible Covalent BTK Degraders

Proteolysis-targeting chimeras (PROTACs) represent a transformative therapeutic modality, yet the viability of covalent PROTACs remains debated, as irreversible binding seemingly contradicts the catalytic mechanism central to their function. Here, we develop and characterize PSIRC3, a highly potent covalent PROTAC for Brutons tyrosine kinase (BTK) that addresses this ambiguity. PSIRC3 induces potent and selective BTK degradation with a sub-nanomolar DC50 of 0.75 nM and a Dmax greater than 85%, while its non-covalent counterpart is completely inactive. This degradation activity is strictly dependent on covalent bond formation with the Cys481 residue, as evidenced by a total loss of efficacy against the C481S BTK mutant. PSIRC3 acts with remarkable speed, achieving maximum BTK degradation within 30 minutes, a kinetic profile linked to rapid cell permeation and efficient ternary complex formation. In vivo, a single administration of PSIRC3 leads to substantial BTK degradation in both PBMCs (>80%) and splenocytes (>50%). Computational modeling, parameterized with experimental data, reveals that degradation efficacy is governed by a delicate balance between E3 ligase and target protein affinities. Specifically, excessively high E3 affinity is detrimental by inducing a hook effect, while higher target affinity is generally beneficial. Our findings provide strong evidence that covalent engagement can drive potent and selective protein degradation, challenging the prevailing notion that catalytic turnover is indispensable for PROTAC efficacy. This work establishes a new benchmark for covalent degraders and opens new avenues for targeting previously intractable proteins.

biochemistry↗

The NuRD complex shapes RNA polymerase III activity at highly expressed tRNA gene clusters, tuning the dynamic range of cellular tRNA pools

RNA polymerase III (Pol III) produces noncoding RNAs involved in diverse cellular activities, including translation (tRNA, 5S rRNA, 7SL RNA), RNA processing (U6 snRNA, RPPH1, RMRP), and transcription regulation (7SK snRNA). In this way, Pol III activity must be broadly coupled with cellular demands for protein accumulation and growth, increasing in response to nutrient availability and decreasing during differentiation and exit from proliferation. However, the currently established mechanisms of Pol III regulation remain relatively limited, due in part to the few Pol III-centered protein-protein interaction (PPI) studies performed to date. To address this gap, we first investigated PPIs shared by multiple Pol III subunits to understand the macromolecular interactome of Pol III, with special attention directed at potential regulatory candidates. Our proteomic survey uncovers interactions between Pol III and the NuRD (Nucleosome Remodeling and Deacetylase) complex. Taken further, we show that NuRD localizes to active Pol III-transcribed genes and that its recruitment is Pol III-dependent but nonrandom, with peak occupancy and regulatory hallmarks converging on tRNA gene clusters associated with notably high expression levels. Inhibiting NuRD-associated histone deacetylase function reduces Pol III transcription at these sites, suggesting NuRD restricts Pol III and thereby modulates the global dynamic range of Pol III-derived RNA species. These findings are congruent with the transcriptionally repressive nature of NuRD and bring-to-light a new regulatory mechanism that may couple signaling events and changes in metabolic needs with the dynamic availability of specific tRNA pools.

molecular biology↗

Machine perfusion and single-cell spatial transcriptome mapping identifies novel immune escape mechanisms in colorectal cancer liver metastasis

Liver metastasis is the terminal stage of colorectal cancer. Immune checkpoint blockade (ICB) has heralded remarkable clinical success across a range of cancer types, but with limited efficacy in replacement-type colorectal liver metastasis (CRLM), the most common and lethal histological subtype. Using a novel human normothermic perfusion model, we demonstrate for the first time, that T-cells preferentially extravasate within the peri-tumoural liver rather than the CRLM. We use single-cell spatial transcriptomics and multiplexed immunofluorescence to validate CRLM T-cell exclusion and show that CRLM endothelia are anergic, lacking key receptors required for T-cell extravasation. CD4 T-cells that extravasate within the peri-tumoural liver are TCR-reactive, yet exhausted, whilst CD4 T-cells within the CRLM demonstrate a stress response, impaired cytokine expression and lack of TCR reactivity. We identify the spatial cellular and molecular interactions underlying these observations, providing novel targets for future attempts to sensitise to immunotherapeutics and a justification for failed ICB efficacy in CRLM.

cancer biology↗

A global atlas of deep-sea cold seep viruses uncovers extensive genomic novelty, pervasive viral dark matter, and biotechnological potential

Cold seeps are globally distributed deep-sea ecosystems harboring diverse chemosynthetic microbial communities, yet their viral components remain poorly understood. Here, we establish the Global Cold Seep Virome, a comprehensive catalog of 191,937 species-level viral operational taxonomic units (vOTUs) and 2.44 million viral protein clusters reconstructed from 314 metagenomes spanning 18 cold seep sites worldwide. Most vOTUs are distinct from those in existing environmental viromes, suggesting that cold seeps harbor a largely unexplored viral reservoir. Host prediction suggests diverse viral associations with key prokaryotes, including anaerobic methanotrophic archaea. Protein annotation reveals that these viruses encode widespread uncharacterized proteins and viral hallmark proteins with divergent physicochemical properties, potentially contributing to their ecological adaptability. We also identify putative auxiliary metabolic genes, anti-defense genes, and lysins, and experimentally validate representative anti-defense proteins and lysins with strong activities. This resource expands current knowledge of deep-sea viral diversity and provides a foundation for studying virus-host interactions, testing biogeochemical hypotheses, and exploring biotechnological potential in cold seep ecosystems.

microbiology↗

The effect of cold exposure on energy expenditure of mice fed an obesogenic diet

ObjectiveCold exposure is one of the most powerful physiological stimuli for thermogenic adipose tissue activity and may positively impact metabolic homeostasis. An important gap in knowledge is whether mice with diet-induced obesity respond to cold similarly to their lean counterparts. The goal of the present study was to compare the response to cold exposure between mice fed a standard (normal-fat) diet and a higher-fat diet. MethodsMale C56BL/6J mice fed a standard diet (13.1% fat) or a higher-fat diet (21.6% fat) during adulthood and exposed to cold (4-6{degrees}C) following different approaches. Body weight, body composition, food intake, rectal temperature, energy expenditure, and respiratory exchange ratio were assessed. ResultsCold exposure significantly increased energy expenditure and limited weight gain despite elevated food intake in mice fed either a standard or a higher-fat diet, while body composition, body temperature, and respiratory exchange ratio remained stable across both dietary groups. Moreover, energy expenditure measured at 4-6 {degrees}C was comparable between mice fed standard and higher-fat diets, demonstrating that cold-induced thermogenesis may elicit a consistent metabolic response independent of dietary fat content. ConclusionsOur results demonstrated that cold exposure increased energy expenditure in both lean and obese animals, highlighting thermogenesis as a promising target for obesity treatment beyond current approaches focusing on appetite suppression. HighlightsO_LICold exposure increases energy expenditure and limits weight gain in both control diet and higher-fat diet-fed mice, despite increased food intake. C_LIO_LICore body temperature and body composition remain stable during cold exposure, regardless of dietary fat content. C_LIO_LICold-induced thermogenesis elicits a comparable metabolic response in control diet and higher-fat diet-fed mice, supporting its potential as a therapeutic strategy for obesity. C_LI

physiology↗

RRAS and RRAS2 mutations are oncogenic drivers in lung cancer and are sensitive to the pan-RAS inhibitor RMC-6236

IntroductionRRAS and RRAS2 encode a subfamily of RAS-like small GTPases that share considerable structural and functional similarities with KRAS, HRAS, and NRAS. Whether homologous RRAS/RRAS2 mutations are oncogenic and actionable drivers in lung cancer remains underexplored. MethodsAn institutional cohort of 8,488 non-small cell lung carcinomas (NSCLC) sequenced by comprehensive targeted DNA sequencing (MSK-IMPACT) between 2016-2024 was evaluated for RRAS/RRAS2 mutations. RRASQ87L or RRAS2Q72L were modeled in murine IL3-dependent Ba/F3 cells and immortalized human bronchiolar epithelial cells (HBECs). The oncogenic potential, signaling characteristics, and sensitivity to PI3K and MAPK pathway inhibitors, including the novel pan-RAS inhibitor RMC-6236, were evaluated in vitro and in vivo. ResultsRRASQ87L or RRAS2Q72L, homologous to KRAS-codon Q61 substitutions, were found in [~]0.45% of NSCLCs (38/8,488), with all but two lacking other MAPK pathway oncogenic drivers. RRASQ87L and RRAS2Q72L mutations transformed Ba/F3 and HBEC cells and robustly activated MAPK and PI3K-mTOR pathway signaling. RMC-6236 suppressed proliferation of RRASQ87L and RRAS2Q72L mutant cell lines, reduced ERK phosphorylation, induced apoptosis, and impeded cell-cycle progression. In vivo, RMC-6236 significantly inhibited growth of RRASQ87L/RRAS2Q72L-mutant HBEC-derived xenografts. ConclusionsRRASQ87L and RRAS2Q72L are recurrent, oncogenic, and potentially actionable drivers in NSCLC. Our study supports the inclusion of RRAS/RRAS2 into routine molecular diagnostic panels for precision oncology and provides preclinical rationale for investigating the potential therapeutic utility of pan-RAS inhibitors for patients with RRASQ87L/RRAS2Q72L-mutant lung cancers. Statement of translational relevanceTargeted therapies have transformed standard of care for oncogene-driven non-small cell lung carcinomas (NSCLC), yet a significant subset lacks actionable drivers. We identified recurrent RRASQ87L and RRAS2Q72L mutations which are mutually exclusive with other MAPK pathway drivers and found in [~]0.45% of NSCLC, comparable in prevalence to NTRK and NRG1 fusions. In preclinical models, these mutations activate canonical growth signaling, drive tumorigenic phenotypes, and confer sensitivity to RAS/MAPK-directed agents, including the novel pan-RAS inhibitor RMC-6236, currently in trials for patients with solid tumors harboring KRAS mutations. These data support RRASQ87L and RRAS2Q72L as bona fide lung cancer drivers and nominate RRAS/RRAS2-mutant tumors as candidates for pan-RAS-targeted therapeutics. Our findings provide a biologic rationale and preclinical evidence to inform molecular testing paradigms and to prioritize enrollment of patients with RRAS/RRAS2-mutant NSCLC into future clinical trials of pan-RAS inhibitors.

cancer biology↗

Time-resolved structures of β2-adrenergic receptor modulation by a photoswitchable beta-blocker

G protein-coupled receptors (GPCRs) regulate essential physiological responses and are important drug targets, yet their ligand-induced conformational dynamics remain poorly understood. The {beta}2-adrenergic receptor ({beta}2AR) is a prominent member of the GPCR family. It regulates bronchial and vascular function and is a significant drug target, particularly in respiratory and smooth muscle-related disorders. We employed time-resolved crystallography at X-ray free-electron lasers (XFELs) to capture the conformational dynamics of {beta}2AR bound to photoazolol-1, a beta-blocker derivative developed for photopharmacological applications. Structural snapshots of the receptor bound to trans-photoazolol-1 (pre-photoconversion), a strained intermediate, and the fully photoisomerized cis-photoazolol-1 reveal an intricate interplay between ligand chemistry and receptor plasticity. Isomerization of the azobenzene moiety induces distinct conformational changes within the orthosteric pocket, altering interactions with the extracellular loop 2 and transmembrane helices 5 and 6. Supported by functional assays, these structural shifts suggest that photoazolol-1 transitions from an inverse agonist to a neutral antagonist upon photoactivation. Our findings uncover a mechanism of GPCR modulation reminiscent of rhodopsin activation and offer a framework for designing ligands that harness light-driven transitions to achieve spatiotemporal control of receptor function.

biochemistry↗

An RNA polymerase III tissue and tumor atlas uncovers context-specific activities linked to 3D epigenome regulatory mechanisms

RNA polymerase III (Pol III) produces a plethora of small noncoding RNA species involved in diverse cellular processes, from transcription regulation and splicing to RNA stability, translation, and proteostasis. Though Pol III activity is broadly coupled with cellular demands for protein synthesis and growth, a more precise understanding of gene-level dynamics and context-specific expression patterns remains missing, in part due to challenges related to sequencing and mapping Pol III-derived small ncRNAs. Here, we establish a predictive multi-tissue map of human Pol III activity across 19 tissues and 23 primary cancer subtypes by comprehensively profiling the chromatin accessibility of canonical Pol III-transcribed gene classes. Our framework relies on the unique relationship between gene accessibility and Pol III transcription, inferring activity through uniform binary classification of ATAC-seq enrichment at Pol III-transcribed genes. By characterizing multi-context gene uniformity, we provide a definition of the core Pol III transcriptome, broadly active across specialized tissues, and catalog genes with varied levels of context specificity. Our genomic Pol III atlas uncovers variable levels of activity across tissues, including sharp contraction of the Pol III transcriptome in heart and brain tissues and frequent expansion across diverse cancers. We show that both tissue- and tumor-specific genes are significantly enriched within lamina-associated domains (LADs), and that aberrant expression of nuclear lamin proteins is sufficient to induce Pol III-emergent patterns at tumor-specific genes. Together, these findings link Pol III dynamics to subnuclear compartmentalization and provide a resource for better understanding Pol III expansion and small RNA biogenesis in cancer.

genomics↗

Orthogonal and Robust Analytics Enable Reproducible and Scalable Manufacturing of High Purity Extracellular Vesicles Derived from Mesenchymal Stromal Cells

The development of extracellular vesicle (EV) based therapeutics requires robust analytical assays and scalable downstream processing (DSP) strategies to ensure product quality and reproducibility. In this study, we established an analytical toolbox comprising scattering and fluorescence mode nanoparticle tracking analysis (NTA), fluorescence-based flow cytometry (Fl-FC), and multi-detector analytical size exclusion chromatography. Liposomes, selected for their physicochemical similarity to EVs, were used as reference materials to optimize assay parameters, fluorescence labeling conditions, and dynamic range, minimizing artifacts such as photobleaching and masking effects. Using these optimized analytical tools, we designed a scalable DSP workflow for human bone marrow mesenchymal stromal cell (hBM-MSC) derived EVs, incorporating clarification, tangential flow filtration (TFF), ion exchange chromatography (IEX), buffer exchange, and sterile filtration. IEX chromatography resulted in the elution of two cell-secreted populations, with similar scattering signals while eluate 1 showed approximately 30 times higher absorbance signal compared to eluate 2. Transmission electron microscopy revealed that eluate 1 contained non-vesicular extracellular particles (NVEPs), and eluate 2 was enriched in EVs and showed higher expression of positive markers such as CD81 and CD73 using Simple Western. Additionally, the two IEX eluates showed different proteomic and lipidomic profiles. Then the analytical toolbox was utilized to monitor the DSP process in terms of particle recovery and impurity removal throughout the process determining the high purity level of the final EV preparation. Together, these results demonstrate that orthogonal analytics coupled to a scalable DSP yield reproducible MSC-EV preparations while depleting commonly co-isolated NVEPs. This practical framework advances process analytics of MSC-EV manufacturing and supports reporting of identity, purity, and function aligned with existing guidelines in the field. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=91 SRC="FIGDIR/small/672476v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@142ff8aorg.highwire.dtl.DTLVardef@196c0bforg.highwire.dtl.DTLVardef@485c36org.highwire.dtl.DTLVardef@9dff39_HPS_FORMAT_FIGEXP M_FIG C_FIG Liposomes were used as reference materials to optimize single particle analytics as well as multi detector analytical chromatography to assess particle recovery and impurity removal. This optimized analytical toolbox enabled accurate monitoring of downstream processing steps, establishing a robust workflow for reproducible and scalable mesenchymal stromal derived extracellular vesicles bioprocessing.

bioengineering↗

The vagus nerve promotes memory via septo-hippocampal acetylcholine: Implications for obesity-induced cognitive dysfunction

The vagus nerve relays critical metabolic information between the gastrointestinal (GI) tract and the brain. Recent findings highlight a role for vagus nerve-mediated gut-brain signaling in regulating higher-order cognitive processes, although the underlying mechanisms remain poorly understood. Here we demonstrate that nutrient consumption promotes hippocampal-dependent memory function via vagus nerve-mediated acetylcholine (ACh) release in the dorsal hippocampus (HPCd) from medial septum (MS) neurons. In vivo analyses reveal that HPCd ACh release is engaged during nutrient consumption, and that this response is abolished in animals that received MS cholinergic neuron ablation, subdiaphragmatic vagotomy (SDV), or early-life Western Diet (WD) maintenance. MS cholinergic neuron ablation, SDV, and early-life WD also impaired memory for meal location, suggesting that this gut-brain pathway functions to encode memories for eating events. Collectively, results identify a neurobiological mechanism whereby nutrient consumption promotes memory function, and reveal that disruption of this vagal-brain signaling system mediates WD-associated memory impairments.

neuroscience↗

bstinence and Extinction Drive Opposing Changes in Striatal Activity and Dopamine Signaling During Alcohol Relapse

Relapse remains a major obstacle in the treatment of alcohol use disorder, often driven in part by enduring neuroadaptations. However, how different treatment strategies--such as abstinence versus extinction training--modulate the underlying neural circuits and synaptic mechanisms that shape relapse vulnerability remains poorly understood. In this study, we demonstrate that abstinence and extinction distinctly influence dorsomedial striatal (DMS) direct-pathway medium spiny neuron (dMSN) activity and dopamine signaling during cue-induced reinstatement of alcohol seeking. Using in vivo fiber photometry in D1-Cre rats expressing calcium or dopamine sensors, we found that abstinence enhanced dMSN calcium responses and dopamine release during reinstatement, whereas extinction normalized these neural signals and suppressed relapse-like behavior. Furthermore, bidirectional optogenetic modulation of medial prefrontal cortex (mPFC)-to-dMSN synapses revealed a causal role for corticostriatal plasticity in determining relapse propensity. Inducing long-term depression (LTD) in the abstinent state attenuated reinstatement, while inducing long-term potentiation (LTP) after extinction training reinstated alcohol seeking. Together, these findings identify distinct neural adaptations shaped by abstinence versus extinction and highlight corticostriatal plasticity as a potential target for relapse prevention. HighlightO_LIAbstinence enhances striatal dMSN activity and dopamine signaling during cued relapse. C_LIO_LIExtinction training normalizes dMSN dynamics and reduces dopamine release during cued relapse. C_LIO_LIOptogenetic mPFC-to-dMSN long-term depression after abstinence reduces relapse. C_LIO_LIOptogenetic mPFC-to-dMSN long-term potentiation after extinction invigorates relapse. C_LI

neuroscience↗

Proteomic Analysis of PTEN-Deficient Cells Reveals Src-Mediated Upregulation of EphA2 and Therapeutic Potential of Dual Inhibition

Loss of the tumor suppressor PTEN is frequently observed in various cancers and promotes tumorigenesis by activating the PI3K-AKT pathway. However, the effectiveness of therapies targeting this pathway is limited by complex signaling crosstalk and compensatory mechanisms. Here, we employed quantitative proteomic and phosphoproteomic analyses using MCF10A PTEN knockout models to comprehensively map the signaling alterations induced by PTEN loss. Our analyses revealed that PTEN deficiency not only activates canonical PI3K-AKT signaling but also induces widespread changes in cytoskeleton organization, cell cycle regulation, and central carbon metabolism. PTEN loss also substantially elevates the activity of a variety of tyrosine kinases, including Src kinase and EphA2, a receptor tyrosine kinase (RTK) implicated in cancer progression. Mechanistic studies demonstrated that Src activation, rather than the canonical AKT signaling pathway, drives the upregulation of the receptor tyrosine kinase EphA2. The activation of the noncanonical tyrosine kinase signaling renders AKT inhibition alone insufficient in PTEN-deficient cancers. Importantly, combined treatment with the FDA-approved AKT inhibitor capivasertib and the Src inhibitor dasatinib synergistically induced apoptosis and suppressed the tumor cell growth in various PTEN-deficient cell lines as well as in three-dimensional cultures of endometrial cancer patient-derived xenograft models. Our study reveals that PTEN loss drives oncogenic signaling via dual activation of PI3K-AKT and tyrosine kinase pathways. Specifically, Src-mediated upregulation of EphA2 in PTEN-deficient cells highlights a therapeutic vulnerability that can be exploited by combined AKT and Src inhibition. This approach addresses the resistance associated with AKT inhibition alone and enhances therapeutic efficacy in PTEN-deficient cancers, supporting its potential application in targeted combination therapies.

cancer biology↗

Neutralizing antibodies elicited by Nipah virus G-head nanoparticle target diverse sites and inhibit receptor binding and fusion

Nipah virus (NiV) and Hendra virus (HeV), two highly pathogenic Henipaviruses (HNVs), pose a significant public health threat. The attachment glycoprotein (G) plays a crucial role in viral attachment and entry, making it an attractive target for vaccine and therapeutic antibody development. However, the antigenic landscape and neutralization sensitivity of the G protein remain poorly defined. Here, we systematically characterize 27 monoclonal antibodies (mAbs) elicited by NiV G head (GH) nanoparticle-immunized mice. Among these, 25 mAbs exhibit neutralizing activity against two major NiV strains, NiV-Malaysia and NiV-Bangladesh, with five mAbs also cross-inhibiting HeV infection. Although all mAbs target GH, they inhibit viral infection through distinct mechanisms, either by blocking receptor ephrin-B2 engagement with the G protein or by preventing viral membrane fusion. Notably, mAbs from two distinct groups conferred complete protection to hamsters against lethal NiV-Malaysia infection. Structural analysis of NiV GH in complex with four representative Fabs reveals four non-overlapping epitopes, including two novel antigenic sites and one shared protective epitope identified across species. Our study provides a comprehensive map of the antigenic determinants of NiV GH, elucidates the relationship between epitopes, neutralization mechanisms, and protection, and offers new insights and opportunities for antibody-based therapies and vaccine development. HighlightsMost mAbs induced in G head nanoparticle-immunized mice are potent neutralizers MAbs recognizing the G head block receptor binding or viral fusion Structural analysis shows mAbs target four distinct epitopes on G head protein Receptor competition site on G head is a shared protective antigenic site in human and multiple animals

immunology↗