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Wang, C.

Publications and source records attributed to Wang, C..

At least 55 records · Page 3Linked to original sources

Unifying physical and molecular coordinate systems across modalities in spatial biology

Establishing a unified physical and molecular coordinate system from fragmented multi-modal data is a longstanding challenge in biology. Here, we present MAPS, a modality-agnostic platform for spatial biology comprising (1) MAPS-alignment for ultrafast alignment of any modality, (2) MAPS-integration for both anchored and unanchored integration across orthogonal modalities for 3D multi-modal reconstruction, and (3) MAPS-Explorer for large-scale interactive 3D analysis. MAPS outperformed existing methods across extensive benchmarks on 34 datasets spanning 16 technology platforms and 6 modalities, while delineating fine-grained multi-modal tissue architectures across diverse biological systems in mouse and human. At cross-consortium scale, MAPS integrated 434 slices comprising 21 million cells from 18 atlases and 5 modalities to construct the most comprehensive 3D multi-modal mouse brain atlas. At individual laboratory scale, MAPS empowered routine 2D spatial assays to reconstruct continuous 3D multi-modal landscapes of human hepatocellular carcinoma, revealing the limitations of 2D spatial relationships and uncovering depth-dependent immune-state transitions.

bioinformatics↗

A patient-centric therapeutic paradigm uncouples prostate cancer suppression from systemic metabolic collapse

The clinical benefits of cancer therapies are often compromised by the tolerable adverse effects that impair systemic organismal health and may evolve into latent life threats. Here, we identified profound abiraterone-induced but androgen-independent metabolic perturbations in prostate cancer patients and developed Lifehug-9892 to balance tumor therapy with systemic metabolic homeostasis. By integrating population cohorts with high-resolution metabolomics, we demonstrate that abiraterone induces profound systemic lipidomic dysregulation, characterized by the massive, pathological accumulation of desmosterol. Abiraterone inhibits but stabilizes DHCR24, leading to a metabolic trap in patients showing elevated levels of both desmosterol and cholesterol. Desmosterol accumulation is highly lipotoxic, potently triggering endothelial cell senescence and necrosis, macrophage foam cell formation, murine atherosclerosis, and hepatic senescence. To mechanistically uncouple and therapeutically rescue this systemic metabolic collapse, Lifehug-9892 was rationally designed to selectively retain on-target CYP17A1 inhibition while completely sparing DHCR24 function. Lifehug-9892 maintains potent tumor-suppressive activity while fully preserving the desmosterol-cholesterol metabolic axis and preventing systemic cardiovascular and hepatic damage. Our study uncovers a critical mechanistic link between drug-induced metabolic dysregulation and organismal health in cancer patients, providing a biochemical framework for developing patient-centric targeted therapies that preserve host homeostasis.

cancer biology↗

Why This Code? A Constrained Mapping Framework for the Evolutionary Stability of the Canonical Genetic Code

The canonical genetic code is used by most known forms of life, yet explaining its historical origin and present day functional performance requires comparison with the enormous space of possible codon-to-output assignments. Here, the code is formulated as a hierarchy of constrained mapping problems spanning codeword length, degeneracy composition, synonymous-block partitioning, semantic assignment and a coarse decoder layer. Exact structural analyses identify triplets as a Pareto choice under a fixed-length full-codebook model and show that anonymous degeneracy statistics alone do not explain the canonical profile. Within a fixed canonical block architecture and under specified objective functions, recurrent AAindex-based rule learning contracts the 20! amino-acid assignment space to 2.72 ** 1011 admissible mappings, from which 108 complete codes are sampled. In this screened conditional candidate library, the standard genetic code ranks in the best 0.9749% under the equal-weight three-objective score and in the best 1.801% when accessible replacement diversity is added. Sensitivity analyses show that this position is broad across many, but not all, tested objective weights and aggregation rules. These results describe a conditional multi-objective compromise; they do not establish global optimality, historical inevitability or cellular feasibility of decoder redesign.

evolutionary biology↗

Kinesin-1 holoenzyme assembly coordinates cargo-adaptor recognition with heavy-chain autoinhibition

Kinesin-1 is a major microtubule-based molecular motor that transports diverse cellular cargoes, yet how assembly of its subunits is coupled to cargo recognition and motor regulation remains poorly understood. Mammalian kinesin-1 functions as a heterotetrameric holoenzyme composed of kinesin heavy chains (KIF5s) and kinesin light chains (KLCs), but the structural principles linking holoenzyme assembly to motor regulation remain unclear. Here, using KIF5C as a model system, we define the molecular mechanisms underlying kinesin-1 holoenzyme assembly and cargo-adaptor regulation. We identify a conserved coiled-coil interface between KIF5C and KLC1 that mediates their 2:2 assembly, with quantitative mutagenesis revealing key hydrophobic determinants of complex formation. We further demonstrate that the mitochondrial adaptor TRAK2 directly engages the KIF5C CC4 cargo-binding platform through a defined 2:2 interaction required for mitochondrial recruitment of KIF5C. Although KLC1 and TRAK2 bind distinct regions of KIF5C, KLC1 modulates TRAK2 association through steric and conformational effects, revealing how holoenzyme composition influences cargo-adaptor accessibility. Mechanistically, we identify a previously unrecognized intramolecular interaction between the KIF5C CC1 and CC4 domains that forms a stalk-mediated autoinhibitory latch. TRAK2 and KLC1 release this inhibitory interaction through distinct mechanisms. Together, our study establishes a molecular framework in which kinesin-1 holoenzyme assembly regulates cargo-adaptor recognition and autoinhibitory remodeling, providing mechanistic insight into how molecular motors coordinate cargo engagement with activation.

biochemistry↗

Expression of immune checkpoint VISTA represents a differentiated state of cancer cells and plays a role in regulating actin cytoskeleton

Immune checkpoint blockade has revolutionized cancer therapy, but the therapeutic efficacy is limited. Clinical trials on blockade of newly identified immune checkpoints didn't show promising result, suggesting that it might be insufficient to understand the function of immune checkpoints in cancer merely in the context of immunity. Here, we found mutually exclusive expression patterns of the immune checkpoint VISTA (or VSIR) and the neural stemness factor SETDB1, an oncoprotein that promotes immunoevasion, in xenograft tumors, suggesting that cells with high VISTA expression represents a differentiated, and hence, less or non-malignant state in tumor. Non-neural differentiation factors HHEX, MYOD1 and PPARG promote, whereas oncoproteins KRAS (and the mutant KRAS(G12D)) and SOX2, both being embryonic neural factors, repress VISTA expression. This tendency can be inferred from the finding that neural stemness is the core property of cancer cell. Manipulated expression of VISTA in cancer cells generated no significant effect on cell tumorigenicity and differentiation state, but led to change in cell morphology and actin cytoskeleton. Mechanistically, VISTA regulates a key cytoskeleton regulator, WASF2, leading to the change in cell morphology, which might interfere with signal transduction of immune response. The results suggest that 1) high expression of a protein in tumor might represent a less or non-malignant state, targeting of which would leave malignant cells intact, and consequently, leading to weak or even no therapeutic efficacy, a key factor worth considering for target selection; 2) immune checkpoints might play other roles in cells that interfere with regulation of anti-tumor immunity.

cancer biology↗

MyoAssist 1.0: An Open-Source Framework for Neuromechanical Simulation of Physical Human-Device Interaction

Physical human-device interaction is central to many emerging technologies in neurorehabilitation and assistive robotics, but simulation-based research in this area remains fragmented across musculoskeletal models, assistive-device representations, task definitions, and controller-development workflows. This fragmentation limits the accessibility, reproducibility, and extensibility of studies on prostheses, exoskeletons, wearable rehabilitation devices, and related human-device systems. Here we introduce MyoAssist 1.0, an open-source framework for neuromechanical simulation of physical human-device interaction built within the MyoSuite ecosystem. MyoAssist organizes each simulation environment as a composed human-device-task system that combines compatible musculoskeletal, assistive-device, and task-scenario components through a shared composition pipeline. The current release includes 15 assistive-device models spanning gait assistance, upper-body support, manipulation, and seated mobility and supports compatible musculoskeletal models ranging from reduced lower-limb models to a 416-muscle full-body model. These human-device systems can be simulated within the broad task scenarios provided by MyoSuite, while MyoAssist adds locomotion-specific task scenarios with configurable terrain and target-velocity conditions for gait-assistive studies. MyoAssist also provides two complementary controller-development frameworks: a reinforcement-learning framework for training adaptive policies and a controller-optimization framework for tuning structured, interpretable human and device controllers. Both frameworks operate on the same simulation environments and provide standardized evaluation outputs for inspecting, comparing, reusing, and extending learned and structured control strategies. By integrating modular human models, assistive-device models, task scenarios, and training workflows under a shared open-source interface, MyoAssist aims to lower the barrier to reproducible simulation-based research and to support collaborative development of assistive technologies for neurorehabilitation and physical human-device interaction.

bioengineering↗

Connectome-constrained modeling identifies neurons and synapses that sustain spontaneous activity in Drosophila

Synapse-resolution connectomes specify a brain's wiring; brain-wide recordings capture its activity. Neither alone identifies the cells and synapses that generate the activity. We bridge them by fitting a FlyWire connectome-constrained whole-brain model to calcium recordings of spontaneous activity in head-fixed Drosophila, then probing it in silico at cellular and synaptic resolution. The fitted model reproduces three features it was never trained on: lognormal synaptic weights, scale-free neuronal avalanches, and short intrinsic time constants in visual cells, each consistent with experiment. Systematic perturbations of the digital whole-brain model show that spontaneous activity is not distributed uniformly across the connectome, but is organized by a compact neuropil core. Within this core, a highly sparse, brain-spanning ensemble of inhibitory hub neurons and their reciprocal synapses with excitatory partners are necessary and sufficient to sustain whole-brain resting-state dynamics. Connectome-constrained modeling therefore converts wiring diagrams and recordings into a perturbable digital platform that identifies the cells and synapses sustaining resting-state dynamics.

neuroscience↗

Multiplexed Quantification of Variant Abundance in the Globin Gene Family: Integrating Saturation Mutagenesis with Cross-Paralog Prediction

Widespread genetic testing has expanded variant identification, yet functional characterization remains a bottleneck in genome guided medicine. Here, we present a modified Variant Abundance by Massively Parallel Sequencing (VAMP-seq) platform integrating experimental and computational approaches for high-resolution abundance profiling of protein variants. Utilizing a lentiviral integration system, we systematically assessed the stability effects of 2,696 amino acid substitutions in {zeta}-globin (HBZ) via saturation mutagenesis in human cells, achieving complete variant coverage with high reproducibility. Representative variants showed strong concordance with orthogonal low-throughput validation assays. We further developed a deep learning framework leveraging VAMP-seq derived HBZ data to predict variant abundance across thalassemia-associated globin paralogs (HBA, HBB, and HBG1) not experimentally tractable. Our hybrid framework demonstrates how targeted experimental profiling combined with AI-driven extrapolation can accelerate variant interpretation across protein family members.

genetics↗

Functional Pairing of TCR-peptide-MHC Interactomes by Single-cell Clonal Expansion

T cell antigen-specific immunity depends on pairwise interactions between T cell receptors and peptide-MHC, yet isolating the TCR-pMHC pairs that drive productive engagement remains a major obstacle for antigen-specific therapeutics and for decoding TCR specificity. We overcome this by co-encoding TCR and pMHC in a single founder cell, then clonally expanding it inside a semi-permeable capsule so that genetically identical daughter cells engage in trans. T cell activation, rather than binding affinity, is used to sort cells with functional pairs, and a single PCR on the clone's linked genomic library captures both partners. This platform, LINC-seq, recovered known cognate pairs from pooled libraries at up to 95% accuracy and performed simultaneous, library-on-library deep mutational scanning of both partners. Wild-type clonotypes ranked among the top-enriched sequences in complex mixtures, and the screens resolved co-evolutionary epistasis and cross-reactivity rules inaccessible to one-sided mutagenesis. The approach generalizes to any receptor-ligand pair whose trans-engagement drives a reporter.

immunology↗

Within-Subject Optogenetic Model Reveals Spatiotemporal Cortical Reorganization in Artificial Vision

Visual prostheses can elicit simple percepts such as letter forms through dynamically patterned stimulation, yet naturalistic dynamic vision remains out of reach despite hardware fully capable of high-resolution temporal control. This persistent gap suggests the bottleneck lies in how artificial input is represented by the cortex itself. A fundamental question remains unresolved: when artificial vision bypasses natural retinal encoding, what is lost in cortical representation? We address this question in this paper using a retinal optogenetic mouse model that isolates the consequence of bypassing retinal encoding while preserving downstream pathways. Using within-subject V1 cortex electrophysiology and CNN-based decoding under identical dynamic stimuli, we reveal dissociable, dimension-specific gaps. Temporally, artificial vision bypassed the frequency-dependent compression imposed by natural vision, extending stimulus-locked entrainment bandwidth. Spatially, direction-selective representations underwent systematic remapping, with disrupted phase organization and reduced encoding regularity. These findings show that bypassing natural retinal encoding reorganizes cortical representation along dissociable spatiotemporal dimensions, establishing a within-subject framework that renders such structural divergences easy to locate and quantifiable.

bioengineering↗

In situ Discovery of Immune Repertoire Reveals Antitumor Immunity and Therapeutic Antibodies

Spatial transcriptomics offers a glimpse into the immunology of tissues. However, limitations in spatial transcriptomics preclude the detection of highly diverse, low-abundance, and previously unknown sequences, including immune repertoires and microbiota. Here, we introduce Archimap, a spatial transcriptomic platform that simultaneously profiles spatial transcriptomes, immune repertoires, and microbiota from formalin-fixed paraffin-embedded (FFPE) tissues. Using Archimap, we profile the spatial localization of TCRs, BCRs, and the microbiota landscape in archived clinical tissues at single-cell resolution. Through comprehensive benchmarking, we validate Archimaps performance and fidelity. Archimap in situ assembles the immune complex and reconstructs the clonal evolution of antibodies. Together, Archimap shows the power of in situ discovery of functional immune repertoires for their antitumor immunity.

bioinformatics↗

An iteratively curated CRISPR library reveals target-specific biological resistance landscapes across targeted protein degraders

Targeted protein degradation (TPD) has emerged as an increasingly powerful approach for therapeutic development and biological discovery. TPD compounds including proteolysis-targeting chimeras (PROTACs), molecular glues, and tag-targeting protein degraders (tTPD) enable rapid, selective and reversible degradation of proteins through recruitment of the ubiquitin-proteasome system (UPS). However, genome-wide CRISPR screens performed with targeted protein degraders are frequently dominated by resistance mechanisms that disrupt degrader activity, including loss of recruited E3 ligase components and broader UPS regulators. The strong selective advantage conferred by these perturbations can obscure less penetrant, biological genetic interactions that operate downstream of target degradation. To overcome this limitation, through iterative genome-wide screening and manual curation, we developed a TPD-compatible CRISPR knockout library that retains near-genome-scale coverage while excluding a focused set of genes recurrently associated with degrader failure. Across multiple degrader screens, this library reduced the dominance of UPS-associated resistance mechanisms and improved the detection and prioritization of genetic interactions linked to target biology. Using the RBM39 molecular glue degrader indisulam as a model, we identified ZMAT2 loss as a resistance mechanism that preserves RBM39 degradation but attenuates the transcriptional and splicing consequences of target depletion. Together, our work establishes a TPD-compatible CRISPR screening framework that improves the biological resolution of degrader resistance screens and facilitates the discovery of genetic dependencies operating downstream of targeted protein degradation.

genomics↗

A NON-CANONICAL ROLE FOR NOTCH3 IN BUILDING THE INTESTINAL LYMPHATIC NICHE

Lymphatic dysfunction drives severe and often intractable human diseases, yet the cellular mechanisms that establish functional lymphatic vasculature remain poorly understood. In the intestine, lacteals are specialized lymphatic vessels that absorb dietary lipids and rely on surrounding villus smooth muscle to propel lymph, forming the muscular-lacteal complex (MLC). How distinct mesenchymal populations coordinate assembly of this functional lymphatic unit remains unknown. By integrating developmental single-cell profiling, genetic lineage tracing, conditional mouse genetics, and functional assays of lipid absorption, we identify Notch3 as a central organizer of MLC development that coordinates communication between distinct mesenchymal lineages. While Notch3 promotes smooth muscle differentiation within the PDGFR lineage, PDGFR{beta} lineage cells do not directly contribute to villus smooth muscle. Instead, they function as Notch3-dependent signaling hubs that instruct expansion and differentiation of neighboring PDGFR smooth muscle progenitors via paracrine TGF{beta} signaling. Loss of Notch3 in PDGFR{beta} cells disrupts MLC development, impairs intestinal lipid absorption, and causes postnatal growth failure and lethality. Restoration of TGF{beta} signaling rescues the structural, functional, and survival defects caused by Notch3 loss, identifying TGF{beta} as a critical downstream effector of the Notch3 pathway. Furthermore, selective inhibition of canonical Notch signaling in the PDGFR{beta} lineage fails to phenocopy Notch3 deletion, revealing a non-canonical mechanism of Notch3 function in intestinal mesenchymal development. Together, these findings establish PDGFR{beta} cells as essential mesenchymal signaling organizers and define a new paradigm in which lineage-specific, non-canonical Notch3 signaling coordinates villus stromal communication to build a functional intestinal lymphatic niche.

developmental biology↗

Osteocyte State Transitions Modulate Bone Remodeling During Early Skeletal Aging

Osteocytes are long-lived cells that play a central role in bone homeostasis, yet age-related changes in their functional states remain poorly understood, particularly because skeletal aging involves multiple processes beyond cellular senescence. We generated an osteocyte-specific MepeCre mouse line and combined osteocyte ablation in young and middle-aged mice with skeletal phenotyping, single-cell transcriptomics, and senolytic treatment. MepeCre-driven recombination was largely confined to osteocytes, with minimal off-target activity. Osteocyte ablation increased bone mass at both ages, indicating that osteocytes constrain bone accrual as part of their role in skeletal homeostasis. However, the accompanying remodeling changes differed with age: enhanced osteoblast activity predominated in young mice, whereas reduced osteoclast-mediated bone resorption predominated in middle-aged mice. Single-cell transcriptomics revealed distinct osteocyte subpopulations whose relative abundance shifted with age, from a predominantly matrix-enriched state in young mice to an expanded aging-transitional state in middle-aged mice. Although this state showed partial enrichment of senescence-associated transcriptional signatures, senolytic treatment failed to recapitulate the increase in bone mass induced by osteocyte ablation. Osteocyte therefore regulate bone mass through age-dependent mechanisms that coincide with shifts in osteocyte-state composition. These changes emerge by middle age and may contribute to early remodeling imbalance before overt cellular senescence during skeletal aging. Graphical AbstractGraphical summary of the findings of this study. AA, amino acids; NA, nucleic acid; UA, uric acid; TCA, tricarboxylic acid.

molecular biology↗

Transferable IncX3-blaNDM-15 in an uncommon ST580 Klebsiella pneumoniae recovered during paediatric intensive-care surveillance

Objective: Carbapenem-resistant Klebsiella pneumoniae harboring blaNDM poses a serious threat to public health; however, blaNDM-15 remains poorly characterized outside the dominant epidemic lineages. Methods: We characterized K. pneumoniae strain ETFK6090, isolated from a perianal surveillance swab of an 11-month-old immunocompromised child in a paediatric intensive care unit. Investigations included antimicrobial susceptibility testing, broth conjugation, S1 nuclease PFGE with Southern blotting, complete genome sequencing, and comparative genomic analysis against 465 curated blaNDM-positive K. pneumoniae genomes from 37 countries. Results: ETFK6090 belonged to ST580 and exhibited resistance to carbapenems, ceftazidime-avibactam, broad-spectrum cephalosporins, fluoroquinolones, gentamicin, chloramphenicol and trimethoprim-sulfamethoxazole; amikacin and fosfomycin retained low MICs. The complete genome comprised one chromosome and five plasmids, blaNDM-15 was localized on a 46,161-bp IncX3 plasmid, confirmed by Southern blotting. Conjugation into Escherichia coli EC600 transferred carbapenem and cephalosporin resistance, confirming in vitro mobility. The blaNDM-15 genetic environment retained a conserved blaNDM module, with IS-mediated rearrangements at the downstream boundary. In the global comparison, blaNDM-1 and blaNDM-5 predominated, the ST580-blaNDM-15 combination was exceedingly rare, and ETFK6090 constituted a distinct branch apart from major epidemic lineages. Conclusions: A transferable IncX3-blaNDM-15 plasmid can emerge in an uncommon ST580 background, underscoring the necessity to extend genomic surveillance of carbapenem-resistant K. pneumoniae beyond dominant epidemic clones, particularly in high-risk paediatric and intensive-care settings.

microbiology↗

Hyperlipidemia abolishes, but immune balancing by DNase-I restores neuroprotection by MSC-derived extracellular vesicles

BackgroundOwing to their potent immunomodulatory properties, mesenchymal stromal cell (MSC)-derived small extracellular vesicles (EVs) have emerged as promising neuroprotective treatments for ischemic stroke. Preclinical studies using MSC-EVs have mainly been performed in young, otherwise healthy rodents. Stroke patients frequently carry vascular risk factors and comorbidities. We herein investigated whether MSC-EVs retain neuroprotective activity in hyperlipidemic mice on cholesterol-rich Western diet. MethodsMale C57BL/6J mice were exposed to regular normal diet or Western diet for 6 weeks. At the age of 9-10 weeks, mice were exposed to transient intraluminal middle cerebral artery occlusion (MCAO). Vehicle or MSC-EVs (2x106 or 6x106 cell equivalents) were intravenously administered immediately after reperfusion, and vehicle or rosuvastatin (5 mg/kg/day) were intraperitoneally applied starting immediately after or seven days before MCAO. Neurological deficits, ischemic injury, and immune responses were evaluated up to 72 hours post-ischemia. To investigate the hyperlipidemia-associated immune dysregulation, mice received DNase-I before or immediately after MCAO. In defined subgroups, monocytes/ macrophages or neutrophils were additionally depleted by clodronate liposomes or anti-Ly6G antibodies, respectively. ResultsIn contrast to normolipidemic control mice, MSC-EVs failed to induce post-ischemic neuroprotection in hyperlipidemic mice. Neither MSC-EV dose escalation nor rosuvastatin co-treatment restored the therapeutic efficacy of MSC-EVs. Hyperlipidemia induced systemic innate immune dysregulation characterized by reduced monocyte/ macrophage activation, increased neutrophil activation, and elevated circulating cell-free DNA. DNase-I treatment before, but not after MCAO reversed these immune abnormalities and restored neuroprotection by MSC-EVs, decreasing neurological deficits, infarct volume and brain edema. Depletion of either monocytes/ macrophages or neutrophils abolished the neuroprotective effects of MSC-EVs in DNase-I-pretreated hyperlipidemic mice. ConclusionsImmune dysregulation abolishes MSC-EV-induced neuroprotection after ischemic stroke in hyperlipidemic mice. DNase-I priming restores MSC-EV responsiveness through mechanisms critically involving monocyte/ macrophage and neutrophil rebalancing. Our data highlight the host immune status as determinant of EV therapeutic efficacy.

neuroscience↗

Multiomic and Spatial Profiling of Colorectal Tissue Reveals Viral Persistence and Immune Dysregulation in Long COVID

Long COVID (LC) - a chronic condition characterized by persistent, debilitating symptoms following SARS-CoV-2 infection - has emerged as a major public health challenge. Although many interrelated mechanisms have been proposed as drivers of LC, the root causes have yet to be identified, posing significant challenges for therapeutic development. While many blood-based studies have been conducted, they have not yielded conclusive mechanistic insights into LC pathogenesis. Attention has therefore turned toward direct tissue investigation, with the gastrointestinal (GI) tract becoming a major focus due to evidence that virus or viral components can persist at this site for months to years following an episode of COVID-19. Here, we performed a high-dimensional characterization of colorectal tissue and peripheral blood in a highly characterized cohort of 44 people with LC and 13 recovered controls. We profiled SARS-CoV-2 persistence, host immune responses, and tissue inflammation using bulk and single-cell RNA sequencing, nCounter RNA probe hybridization, quantitative PCR, metagenomic next-generation sequencing, plasma proteomics, high-dimensional spectral flow cytometry, in situ-hybridization/immunohistochemistry, and single-cell digital spatial omics. Our results support a model in which LC is driven by long-term immune dysregulation and perturbations of the regulatory gut immune environment which imply ongoing viral persistence, although direct viral detection was only observed in a subset of participants. Specifically, we identify a tissue-based transcriptional environment in which SARS-CoV-2 activates innate myeloid immune signaling, driving chronic inflammation while simultaneously downregulating pathways responsible for immune-mediated clearance of infected cells, including antigen presentation, phagocytosis, cytotoxic immune cell trafficking, and granzyme production. Importantly, signatures in peripheral blood are considerably weaker than those observed in tissue. Together, these findings provide a direct biological rationale for therapeutic strategies in LC aimed at enhancing or redirecting cytotoxic immune function to overcome immune dysregulation and clear persistent viral reservoirs.

immunology↗