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Biology subjects

Nguyen, M.

Publications and source records attributed to Nguyen, M..

At least 19 recordsLinked to original sources

Tumor-tropic E. coli engineered as living T and NK cell engagers

Despite advances in immunotherapy, most solid tumors remain resistant to treatment. Immune cell engagers redirect cytotoxic lymphocytes against cancer, but limited tumor access, immunosuppressive microenvironments and systemic immune activation limit efficacy. Here we develop live immune modulating engagers (LIME), a modular platform where non-pathogenic, tumor-tropic Escherichia coli display tandem single-chain variable fragments targeting a tumor-associated antigen and an activating receptor on T or natural killer cells. LIME bridged effector and tumor cells, induced transcriptional programs of T cell activation, metabolism and proliferation, and enhanced cytotoxicity across cancer cell lines and patient-derived organoids. In mouse models, LIME safely accumulated in tumors, outperformed tarlatamab in small cell lung cancer, and induced durable immunity in lymphoma. RAS inhibition and PD-L1 blockade enhanced LIME activity in pancreatic cancer and induced humoral responses. Multi-lineage immune modulation remained tumor-confined, without organ toxicity. These findings establish LIME as a versatile living therapeutic platform for programmable, tumor-restricted immune orchestration.

bioengineering↗

An NF2-wildtype malignant meningioma cell line for basic and translational science

BackgroundMeningiomas are the most common primary nervous system neoplasm in adults. There are few good cellular models, especially of high grade/malignant meningiomas, to use to identify new therapeutic agents and treatment regimens. The widely available, partially characterized, NF2-wildtype (NF2wt) Grade 3 malignant meningioma cell line IOMM-Lee can help meet this need. MethodsWe generated new data to better characterize IOMM-Lee genomic and mtDNA variants, proliferation rate and colony-forming efficiency and sensitivity to ionizing radiation as a function of ATM kinase activity. A screen of 349 anti-cancer drugs identified multiple, mechanistically distinct clinical use drugs with nanomolar IC50 values and high drug sensitivity prediction scores. ResultsExome sequencing confirmed that IOMM-Lee is NF2wt, and contains a pathogenic TERT-promoter (c.-124C>T) variant. Population doubling times (PDT) were short (19-21 hrs), and colony forming efficiency (CFE) high, of up to 87%. IOMM-Lee is comparatively radiosensitive with a D10 of [~]3.9 Gy, and could be radiosensitized by AZD-1390-mediated ATM kinase inhibition. Thirty-four anti-cancer compounds spanning several mechanistic classes were identified that potently suppressed cell proliferation at sub-micromolar IC50 values with high Breeze 2.0 Drug Sensitivity Scores. Importance of the StudyWe provide new data to better characterize IOMM-Lee, the most widely used cell line model of human Grade 3 malignant meningioma. These data identify and characterize IOMM-Lee genomic alterations and mtDNA variants; quantify growth kinetics and ionizing radiation sensitivity; and identify multiple mechanistically distinct, clinical use drugs with nanomolar IC50 values, high drug sensitivity prediction scores and potential as meningioma systemic therapies. Our data more clearly locate IOMM-Lee in the landscape of genomically-defined meningiomas, and will aid better use of this experimentally tractable cell line model to understand meningioma biology and identify more effective malignant meningioma therapies and treatment regimens. Key pointsO_LIIOMM-Lee lacks NF2 mutations, though is clearly related to but distinct from many other meningiomas and meningioma cell lines. C_LIO_LIIOMM-Lee grows rapidly, is comparatively radio-sensitive, and can be suppressed by several mechanistic classes of anti-cancer agents at clinically achievable, sub-micromolar IC50 values with high Drug Sensitivity Scores. C_LIO_LIThe experimental tractability, simplicity and versatility of IOMM-Lee can facilitate analyses of many aspects of meningioma biology and therapeutic development across a wide range of in vitro, high throughput and in vivo xenograft/organoid protocols. C_LI

cancer biology↗

The ASD Risk Gene D5Ertd579e Regulates Synaptic Plasticity and Selective Autism-Related Behaviors

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition shaped by contributions from hundreds of genes, many of which remain poorly characterized. This largely uncharacterized genomic landscape may therefore hold critical insight into how diverse molecular disruptions converge on shared social phenotypes. Here, we investigated KIAA0232 (mouse orthologue D5Ertd579e), an uncharacterized locus lacking known functional domains, using a global null knockout mouse model. While loss of D5Ertd579e did not overtly disrupt cortical progenitor dynamics, laminar organization, or gross brain morphology, D5Ertd579e null mutants exhibited selective behavioral deficits in vocalization, sociability, and novelty preference, while anxiety- and memory-related behaviors remained preserved. These behavioral phenotypes were accompanied by attenuated long-term plasticity, despite normal basal synaptic transmission. Together, our findings indicate that D5Ertd579e loss selectively alters neurodevelopment, preferentially impacting neural systems involved in social and motivational processing while preserving hippocampal-dependent networks. We propose that D5Ertd579e functions as a regionally specific regulator of neurodevelopment, whose disruption may contribute to ASD through distinct genetic pathways. More broadly, this study underscores the importance of interrogating uncharacterized loci to refine mechanistic models of the social brain in ASD.

neuroscience↗

Sex-specific hormone-sensitive regulatory architecture in adolescence as a scaffold for depression vulnerability

Adolescence is a critical developmental period during which sex differences in depression risk emerge, yet the underlying molecular mechanisms remain unclear. Here, we integrated longitudinal transcriptomic, epigenomic, and gene regulatory network analyses to characterize sex-specific regulatory dynamics of the brain across adolescence under normative conditions and elucidate how baseline molecular differences may shape later vulnerability. We observed that immediate early genes exhibited the strongest sex-biased signals, with males and females showing opposing developmental trajectories, suggesting a role in sex-specific stress-responsive programs. Across analyses, a consistent pattern emerged: males showed stronger activity-dependent neuronal signatures, whereas females showed stronger stress- and immune-related signatures. Extending these findings to a disease context using single-nucleus chromatin accessibility data, we identified hormone-responsive regulatory elements enriched in depression-associated regions, with sex- and cell type-specific links to genetic risk. Grounded in established models of sex-specific stress responses, these findings offer a developmental regulatory framework for understanding the differential presentation of, and vulnerability to, depression.

genomics↗

Serum albumin-fused interleukin-10 prevents neuroinflammation by promoting immunoregulation in the secondary lymphoid organs and limiting immune cell infiltration in the spinal cord

Interleukin-10 (IL-10) is a potent immunoregulatory cytokine that suppresses pro-inflammatory cytokine production, reduces antigen presentation by myeloid cells, promotes M2 macrophage polarization, and inhibits T cell activation. Despite these well-established immunoregulatory functions, efforts to harness recombinant IL-10 therapeutically have been limited by its short plasma half-life and poor retention in the secondary lymphoid organs (SLOs), key sites of autoreactive T cell priming in autoimmune disease. Previously, we engineered a fusion of serum albumin and IL-10 (SA-IL-10) with extended half-life and enhanced exposure in the SLOs following intravenous administration. Here, we integrate human transcriptomic analyses and a murine model of neuroinflammation, experimental autoimmune encephalomyelitis (EAE), to investigate how sustained IL-10 exposure in the SLOs modulates immune responses under inflammatory conditions. Human single-cell RNA sequencing analyses revealed reduced IL-10 expression alongside increased IL-10 receptor expression across multiple immune cell populations in treatment-naive patients with multiple sclerosis (MS), motivating the investigation of IL-10-based immunomodulatory strategies. Prophylactic SA-IL-10 administration prevented the development and progression of EAE with superior efficacy to wild type IL-10 and comparable protection to fingolimod, an FDA-approved MS therapy. Immunophenotyping of the SLOs revealed that SA-IL-10 suppressed pathogenic, antigen-specific ROR{gamma}t+ Foxp3- TH17 T cells, CD86+ M1-like macrophages, CD86+ dendritic cells, and pro-inflammatory cytokine production, while expanding immunoregulatory CD206+ M2-like macrophages and increasing the frequency of multiple checkpoint markers (CTLA-4, PD-1, TIGIT, ICOS) on GATA3+ Foxp3- TH2 cells. Despite the absence of direct central nervous system targeting, SA-IL-10 treatment also reduced the infiltration of macrophages, dendritic cells, and CD4+ T cells into the spinal cord. Repeated SA-IL-10 administration was well tolerated, as treated EAE mice gained significantly more body weight over the course of treatment compared to PBS- and WT IL-10-treated controls, and exhibited plasma biochemistry parameters comparable to control animals at study endpoint. Together, these findings demonstrate that increasing IL-10 exposure in the SLOs suppresses neuroinflammation by promoting immunoregulation.

immunology↗

Rete Ridge Topography as a Determinant of Epidermal Stem Cell Identity: Implications for Skin Aging

Stem cell niches are dynamic microenvironments that regulate tissue homeostasis. Epidermal stem cells (EpiSC) preferentially localize to concave regions of epidermal rete ridges, which serve as primary niches for stem cell maintenance. EpiSC number and functional integrity decline during chronological aging. A defining feature of aged skin is epidermal atrophy, in which the prominent rete ridges present in young skin become flattened. Whether such topographical alterations influence EpiSC homeostasis and differentiation remains unclear. To address this, we generated anatomically accurate rete ridge structures using 3D bioprinting of collagen matrices as an ex vivo model and compared EpiSC cultured within concave topography to those maintained on a flat matrix resembling aged skin. Transcriptomic analysis revealed that concave niches promoted keratinocyte differentiation, marked by increased type I and II keratin gene expression and downregulation of cell cycle-associated genes. ATAC-seq identified topography-dependent chromatin accessibility changes enriched for transcription factors regulating epidermal differentiation, including upregulation of KLF4 and GRHL3 and downregulation of SOX9, HOXA1, and ETS1. Consistently, aged human skin showed reduced KLF4 and GRHL3 and increased SOX9 compared with young skin. Our findings demonstrate that concave niche topography imposes a spatially defined EpiSC microenvironment that promotes differentiation, alters cell cycle, and when perturbed, potentially contributes to the aging process. We conclude that spatial localization within rete ridge regions significantly affects epidermal progenitor stemness properties as fundamental differences in the physical microenvironment appear to influence cell fate decisions, thus, form shapes function of EpiSC.

cell biology↗

Attomolar fecal cytokine profiling reveals gut immune dynamics and disease states

The gut modulates systemic health, influencing immune, neurological, and cardiovascular processes. While fecal sequencing of microbial nucleic acids provides a non-invasive view of microbial composition, sensitive measurement of host-derived signals in stool remains limited. Here we introduce DIGEST (Digital Immunoassay for Gut-Environment Single-molecule Targets), an ultrasensitive digital immunoassay that quantifies proteins in fecal extracts to attomolar levels. In mice, longitudinal profiling during a high-fat diet perturbation revealed coordinated host cytokine responses that occurred within 24 hours, with sustained elevation after diet withdrawal, enabling non-invasive tracking of within-subject immune dynamics. Application of DIGEST to quantify a panel of host inflammatory cytokines in patients with inflammatory bowel disease distinguished active ulcerative colitis from quiescent disease and non-IBD controls (AUC=0.98). In advanced melanoma patients receiving PD-1 blockade, pretreatment fecal IL-23 concentrations discriminated responders from non-responders with an AUC of 0.87. Together, these results establish DIGEST as a generalizable platform for sensitive, non-invasive quantification of host protein activity at the gut interface, with broad applications in basic science discovery, disease surveillance, and therapy response prediction.

systems biology↗

Postnatal gene restoration in succinic semialdehyde dehydrogenase deficiency (SSADHD) reveals phenotype reversibility

Succinic semialdehyde dehydrogenase deficiency (SSADHD) is a rare autosomal recessive metabolic disorder due to loss-of-function ALDH5A1 mutations impairing the catabolism of {gamma}-aminobutyric acid (GABA), the major inhibitory neurotransmitter in the brain. In SSADHD, pathologic accumulation of GABA and its metabolic by-product {gamma}-hydroxybutyrate (GHB) corresponds to a clinical syndrome dominated by developmental delay and epilepsy in half of patients with risk of sudden death in adolescence and adulthood. Brain-wide ALDH5A1 gene replacement for SSADHD is unavailable, and whether such treatment will reverse the SSADHD phenotype is unknown. We developed an inducible mouse SSADHD model, Aldh5a1lox-STOP, enabling Cre-dependent Aldh5a1 restoration to evaluate gene therapy feasibility. In the absence of SSADH, Aldh5a1lox-STOP mice exhibit hyperactivity and excessive serum GHB levels, culminating in death by [~]postnatal day 22, recapitulating the severe SSADHD condition. Systemic delivery of a blood-brain barrier (BBB)-penetrating adeno-associated virus (AAV) carrying a Cre gene to Aldh5a1lox-STOP mice leads to brain-wide SSADH restoration, serum GHB level reduction, normalization of hyperactivity, and substantial increase in survival. As a step toward clinical translation, we further assessed an AAV encompassing a functional native promoter (FLnP) of ALDH5A1 tethered to its human coding sequence, namely AAV-FLnP-hALDH5A1. Aldh5a1lox-STOP mice were effectively rescued when treated with AAV-FLnP-hALDH5A1 packaged in the blood-brain barrier (BBB)-penetrating capsid PHP.eB. These findings provide preclinical proof that SSADH gene replacement therapy is feasible and potentially effective.

neuroscience↗

Perseus: Lineage-Aware Refinement of Kraken2 Taxonomic Classification for Long Read Metagenomes

MotivationLong-read metagenomic sequencing improves assembly contiguity and enables genome-resolved analysis of complex microbial communities, but accurate taxonomic classification of long reads and assembled contigs remains challenging. Highly scalable k-mer-based classifiers such as Kraken2 frequently over-assign fine-rank taxonomic labels when applied to long-read data, producing high false positive classification rates driven by sparse or localized k-mer matches, particularly in microbiomes with extensive taxonomic novelty. ResultsWe present Perseus, a lineage-aware confidence estimation framework for taxonomic classification that models the spatial distribution and hierarchical consistency of k-mer evidence along sequences. This formulation reframes taxonomic classification as a hierarchical confidence estimation problem rather than a single-rank prediction task. Perseus refines k-mer-level taxonomic signals from Kraken2 using a multi-headed convolutional neural network that estimates calibrated confidence scores for taxonomic correctness at each canonical rank. Using these estimates, Perseus confirms assignments, backs off to higher taxonomic ranks, or abstains when evidence is insufficient, prioritizing correctness and lineage consistency over overly specific assignments. Across simulations of taxonomic novelty and real-world metagenomic datasets, Perseus consistently and substantially reduces the false assignment rate while improving precision and lineage-consistent accuracy. These improvements are most pronounced for long reads and assembled contigs, where spatial context enables reliable discrimination between consistent taxonomic signal and spurious matches. Availability and implementationPerseus integrates with existing Kraken2 workflows and is available at https://github.com/matnguyen/perseus. Contactmnguye99@jh.edu, mschatz@cs.jhu.edu Supplementary informationSupplementary data are available online.

bioinformatics↗

TCR Signal Strength and Eomes Coordinate CD8⁺ T Cell Fate and Antitumor Immunity in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) poses a persistent barrier to effective immunotherapy, in part due to the emergence of exhausted CD8+ T cells. Using a hydrodynamic, autochthonous HCC model based on Sleeping Beauty-mediated delivery of oncogenic drivers and defined OVA-derived antigens, we could manipulate antigen affinity under physiological priming conditions. With this system, we examined how TCR signal strength and the transcription factor Eomesodermin (Eomes) shape CD8+ T cell fate in vivo. High-affinity stimulation supported robust effector differentiation and the formation of tissue-resident memory T cells (Trm), resulting in early tumor control. In contrast, low-affinity stimulation induced elevated Eomes expression and favored rapid transition toward an exhausted (Tex) phenotype. Genetic repression of Eomes enhanced Trm differentiation in high-affinity CD8+ T cells and delayed tumor relapse, whereas ectopic Eomes expression accelerated exhaustion and led to earlier tumor recurrence. Under low-affinity conditions, Eomes deficiency increased the Trm-to-Tex ratio but remained insufficient to restore effective antitumor immunity, indicating that weak TCR engagement imposes constraints that cannot be overcome by Eomes loss alone. These findings reveal that the strength of TCR engagement shapes CD8+ T cell fate in HCC, while Eomes selectively biases this process toward exhaustion at the expense of effector and resident memory programs, ultimately influencing the durability of tumor control. SynopsisThis study reveals that the strength of T-cell receptor signaling fundamentally steers whether CD8+ T cells in liver cancer become durable tumor-fighting cells or slip into exhaustion, pinpointing Eomes as a key factor that pushes cells toward dysfunction. By uncovering how antigen affinity and Eomes jointly shape antitumor immunity, the work offers new conceptual and therapeutic avenues for improving the persistence and effectiveness of immunotherapies in hepatocellular carcinoma.

immunology↗

Nanobody MET CAR T cells show efficacy in solid tumors

BackgroundMET overexpression is associated with poor prognosis in many solid tumors due to its central role in tumor survival, invasion, metastasis, and chemoresistance. While targeting MET with antibody-drug conjugates has shown promising results, engineered cellular immunotherapeutic approaches have not been extensively explored. Compared to conventional single-chain variable fragments (scFv), naturally occurring single-domain antibodies consisting of variable heavy chains only (VHH or nanobodies) are smaller, retain high specificity, and exhibit remarkable biochemical stability. In this study, we tested the efficacy of MET-targeting VHH-CAR-T (chimeric antigen receptor T cells). MethodsWe generated a panel of VHH-CAR-Ts using mRNA electroporation. VHH-CAR-T cells were evaluated in functional assays including cell binding avidity, cytokine production profiles, hydrogel microwell-based cellular kinetics, and in vitro cytotoxicity. We also assessed the therapeutic efficacy of VHH-CAR-T in an in vivo mouse model of metastatic triple negative breast cancer (TNBC). ResultsAmong the tested VHH, we identified those with intermediate avidity as most effective for in vitro tumor killing. VHH-CAR-Ts with CD28 costimulatory domains demonstrated augmented cytotoxicity with favorable selectivity, requiring a minimum antigen density threshold for activation. Mechanistically, VHH-CAR-Ts demonstrated low tonic signaling, high avidity, potent cytokine production, and rapid tumor killing kinetics. When administered in an mRNA format, VHH-CAR-Ts exhibited potent and prolonged control of tumor growth in an in vivo metastatic model of TNBC. ConclusionTaken together, these results demonstrate that VHH-CAR-Ts exhibit robust MET specificity and potent therapeutic efficacy both in vitro and in vivo. Thus, VHH-CAR-T cell therapy represents a promising immunotherapeutic strategy for targeting MET-overexpressing solid tumors. What is already known on this topicMET signaling is an important contributor to the aggressiveness of many solid tumors, and targeting MET by antibody-drug conjugates has shown efficacy and safety. Targeting MET by CAR-T cells has been under study, though with limited potency. What this study addsThis study is the first to demonstrate effectiveness of anti-MET VHH-CAR-T cells. Compared with other antigen binding domains, VHH-incorporated CAR-T cells show low tonic signaling, a favorable cytokine profile, and potent tumor killing. How this study might affect research, practice or policyWith the multiple advantages of VHHs including small size, stability, and low potential for tonic signaling, VHH-CAR-T cells represent a promising approach for CAR-T design against solid tumors.

immunology↗

Polymer-lipid hybrid nanoparticle enhances mRNA delivery and T cell-mediated immunity

mRNA vaccines have transformed prophylactic immunization against infectious diseases as well as therapeutic interventions for cancer. However, their effectiveness against emerging viral variants and a range of malignancies continues to be hindered by suboptimal induction of T cell-mediated immunity. To overcome this limitation, here we developed a polymer-lipid hybrid nanoparticle (PLNP) platform engineered to improve mRNA delivery to antigen-presenting cells (APCs) and to potentiate T cell responses. Relative to conventional mRNA lipid nanoparticle (LNP) vaccines, mRNA PLNP vaccines demonstrated markedly improved lymph node targeting, APC activation, Th1-biased pro-inflammatory cytokine response, and antigen-specific T cell expansion while retaining robust humoral immunity. Remarkably, mRNA-PLNP vaccines generated approximately 50% more antigen-specific CD8+ T cells than mRNA-LNP vaccines across multiple antigens, including SARS-CoV-2 spike, influenza hemagglutinin, and ovalbumin. In prophylactic applications, mRNA PLNP vaccine provided complete protection against SARS-CoV-2 variants. As a therapeutic approach in a melanoma model, mRNA PLNP vaccination resulted in enhanced tumor control and significantly prolonged survival compared to LNP-based formulations. Collectively, these results establish PLNP as a versatile and broadly applicable platform for augmenting mRNA vaccine efficacy through improved mRNA delivery and T cell priming, offering promising implications for infection prevention and cancer immunotherapy.

immunology↗

EpiTADformer: A Transformer-Based Model for High-Resolution TAD Boundary Detection Using Epigenomic Signal Embeddings

The human genome is partitioned at different levels of 3D genome organization, with topologically associating domains (TADs) being among the most well-known and biologically important structures. TAD boundary disruption is associated with a wide range of diseases such as cancer, neurological and developmental disorders. Numerous methods have been developed to detect TAD boundaries from chromatin contact maps obtained with Hi-C technology. However, these methods are largely limited by the resolution of Hi-C data, typically 1 Kb to 100 Kb. In contrast, functional DNA loci, collectively referred to as epigenomic data, are profiled at a much higher resolution (100-200 bp for a typical ChIP-seq experiment). To improve the resolution of boundary detection, we hypothesize that the patterns of epigenomic signals associated with regions in proximity to TAD boundaries can serve as embeddings for these genomic regions, defining region similarity. These embeddings, along with their positional relationships, can be effectively modeled using deep learning to achieve more precise boundary prediction. We present EpiTADformer, a transformer-based model that takes as input transcriptional and histone modification signals of neighboring regions centered around TAD boundaries. We demonstrate that EpiTADformer outperforms feedforward neural network, convolutional neural network (CNN), and bidirectional long short-term memory (BiLSTM) network architectures. These results suggest the positional information of epigenomic signals surrounding TAD boundaries provides a strong predictive signal, enabling improved performance of the transformer model. Our findings highlight the potential of epigenomic signals to serve as region embeddings for refining the epigenomic language of TAD domains and 3D genome organization.

bioinformatics↗

Structural Basis of Glycolytic Control in Trypanosoma cruzi: Insights from Enolase and PGI

Trypanosoma cruzi, the etiological agent of Chagas disease, depends on glycolysis for ATP production, rendering its glycolytic enzymes attractive targets for therapeutic development. Here, we report the high-resolution crystal structures of two essential glycolytic enzymes, glucose-6-phosphate isomerase (Tc PGI, 1.8 [A]) and enolase (Tc enolase, 2.4 [A]) and provide structural and computational analyses to support structure-based drug design. Tc PGI adopts a dimeric {beta} sandwich fold and features a parasite-specific 53-residue N-terminal extension and a unique C-terminal hook region which both distinguish it from its human ortholog. Tc enolase exhibits the conserved (/{beta}) 8 TIM barrel fold but harbors minor distinct structural deviations, including an extended 17 helix and a structured 1 region, which differentiate it from human isoforms. Both enzymes exhibited high thermal stability, consistent with adaptation to the parasites complex life cycle. Structure-based virtual screening using a scaffold with known multi-target potential identified distinct high-affinity inhibitors for each enzyme. Molecular dynamics simulations further confirmed stable enzyme-inhibitor interactions and favorable binding energetics. Collectively, these findings reveal structural signatures unique to T. cruzi glycolytic enzymes and lay the groundwork for the development of selective antiparasitic therapeutics.

biochemistry↗

A proline-rich-domain-binding single domain antibody selectively inhibits RNA-induced liquid-liquid phase separation of tau

Liquid-liquid phase separation (LLPS) mediates the formation of biomolecular condensates, which organize cellular processes such as synaptic plasticity and stress response. The neuronal microtubule-associated protein tau undergoes LLPS under specific conditions, regulating synaptic vesicle clustering and microtubule dynamics. In vitro, tau LLPS is induced by cofactors such as polyethylene glycol (PEG) or RNA, mainly via weak multivalent electrostatic interactions. However, the molecular mechanisms governing the formation of tau LLPS, including domain specific contribution, remain unclear. In this study, we used eight single-domain antibodies (VHHs), targeting six distinct short sequences of tau, to explore the mechanisms of tau LLPS in vitro. By combining several biophysical methods, we evaluated the effect of each anti-tau VHH on tau LLPS with two main LLPS inducers, PEG (molecular crowding) and RNA (complex coacervation). With PEG as an inducer, all VHHs targeting tau enhanced tau LLPS formation, regardless of their affinity for tau. With RNA as an inducer, the effect of the VHHs was mixed: VHHs targeting the C-terminal domain promoted condensation, while VHH B1-1, which binds the proline-rich domain (PRD; including residues (221REPKKVAVVRTP232), abolished droplet formation. NMR and surface plasmon resonance confirmed 1 to 1 binding of VHH B1-1 to the PRD, and competition assays with a PRD peptide restored LLPS, demonstrating mechanistic specificity. This result underscores the importance of this region in tau LLPS formation. Our findings provide domain-resolved insights into the regulation of tau LLPS and demonstrate the potential of VHHs as tools to selectively modulate biomolecular condensates in physiological and pathological contexts.

biochemistry↗

Myeloid PINK1 represses mtDNA release and immune signaling that impacts neuronal pathology in patient-derived idiopathic PD models

Parkinsons disease (PD) is a neurodegenerative disorder marked by the development of cardinal motor deficits preceded by a protracted prodromal period of non-motor symptoms often involving the gastrointestinal (GI) tract. There is an emerging consensus that both the peripheral immune system and local neuroinflammation play key roles in the etiology of PD. We previously demonstrated a critical function for the Parkinsons related proteins PINK1 and Parkin as repressors of the innate to adaptive immune response in cultured cells and mouse models of infection. However, it remained unclear whether these processes were conserved in patient-derived models, and precisely how immune signaling may ultimately drive the death of dopaminergic neurons. Here we show that GI infection of PINK1 knockout (KO) mice triggered acute neurodegeneration which was evident early in the enteric nervous system. Treating wild type enteric or dopaminergic neurons with conditioned medium from immune-stimulated PINK1 KO macrophages was sufficient to promote neuronal disruption in both mouse and human neurons in vitro. Within immune-activated macrophages, we reveal that loss of PINK1 led to an enhanced release of mitochondrial DNA (mtDNA) within mitochondrial derived vesicles, leading to the activation of cGAS/STING pathways. These changes were seen in both mouse/human in vitro models and in PD patient-derived primary macrophages. Notably, pharmacological modulation using a PINK1 activator with high therapeutic potential attenuated pro-inflammatory profiles elicited by the mtDNA-dependent STING/NF-{kappa}B pathway in idiopathic patient-derived macrophages. Ultimately, our study lays the foundation for understanding PINK1-related peripheral macrophage mechanisms in idiopathic PD and provides a target for further development to treat the disease at early stages. Graphical abstractPINK1-related immune mechanisms of Parkinsons disease and associations with early neurodegenerative events. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/694713v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@6f6488org.highwire.dtl.DTLVardef@13139aaorg.highwire.dtl.DTLVardef@c0d4d1org.highwire.dtl.DTLVardef@1d41e25_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Transcriptional Changes Fade Prior to Long-Term Memory for Sensitization of the Aplysia Siphon-Withdrawal Reflex

Forming a long-term memory requires changes in neuronal transcription. What happens, though, as the memory is forgotten? And how does the transcriptional state relate to the maintenance and recall of the long-term memory? To answer these questions we have been systematically tracing the time-course of transcriptional changes evoked by long-term sensitization in the marine mollusk Aplysia californica. Our approach captures transcriptional changes in neurons of known behavioral relevance using a within-subjects design, delineating patterns of transcriptional change that are comprehensive and reproducible. We have previously reported that within 1 day of long-term sensitization training there is a widespread transcriptional response involving robust changes in over 5% of tested transcripts (1,252 of [~]22k; Conte, 2017). Within 1 week, however, memory strength fades and nearly all transcriptional changes relapse to baseline (Perez, 2018). Here we report microarray analysis (N = 16) of transcriptional changes 5 days post-learning, a time-point when memory strength has weakened but is still robust. Remarkably, we find that at this intermediate behavioral stage nearly all transcriptional changes have fully decayed, even in subsets of animals that have shown very little forgetting. Thus, most transcriptional changes seem to decay more rapidly than memory expression. We discuss several possible ways that memory expression could become decoupled from detectable transcriptional regulation. HighlightsO_LILong-term sensitization training produces a memory that then fades over the course of a week, with behavioral expression at 5 days at an intermediate stage of partly forgotten with continued clear sensitization and considerable variety across animals. C_LIO_LIThe transcriptional response to sensitization training fades more quickly than behavioral expression, with nearly all transcripts regulated 1 day after training showing a statistically significant decline in regulation, even amongst animals that had shown little forgetting. C_LIO_LITranscription does not seem to have a straightforward relationship with the expression of sensitization memory, with a small set of transcripts consistently regulated even as behavioral expression changes and strong behavioral expression possible without most of the transcriptional changes observed during early maintenance. C_LI

neuroscience↗

UC Irvine Brain Initiative Cell Atlas Network (BICAN) Brain Procurement Program for the Center for Multiomic Human Brain Cell Atlas Project

High-quality neurotypical postmortem human brain tissue is essential but difficult to obtain for constructing comprehensive human brain cell atlases. Here we describe the establishment of UC Irvines Brain Procurement Program, a coordinated initiative to collect and process neurotypical donor brains for multiomic mapping studies within the NIH BRAIN Initiative Cell Atlas Network (BICAN) consortium. Through partnerships with the Orange County Coroners Office, the UC Irvine Willed Body Program, UCI Medical Center, and the Childrens Hospital of Orange County, we have developed standardized workflows encompassing donor identification, postmortem brain recovery and processing, region-of-interest dissection, neurotypical donor selection, and data management. Our experience demonstrates the feasibility of a community-based, multi-institutional procurement framework while highlighting challenges in recruiting neurotypical donors and ensuring demographic representation reflective of Southern California. We further identify opportunities to strengthen outreach and donation pathways. This program provides a scalable model for advancing population-reflective, high-quality human brain cell atlas efforts. HighlightsO_LIEstablish a multi-site pipeline for procuring high-quality neurotypical human brains. C_LIO_LIDemonstrate feasibility of donor collection across childhood to adulthood. C_LIO_LIIdentify barriers and propose strategies to improve broad donor recruitment. C_LI

neuroscience↗