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Liu, S.

Publications and source records attributed to Liu, S..

At least 55 records · Page 3Linked to original sources

Population structure, genetic diversity and global migration of the banana Fusarium wilt pathogen, Fusarium oxysporum f. sp. cubense tropical race 4

O_LIThe current epidemic of banana Fusarium wilt is caused by Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4). Foc TR4 originates in Asia and was first reported in the early 1990s, whereafter it was restricted to five Asian countries and the Northern Territory of Australia for two decades. Since 2013, the fungus was detected in the Middle East, the Indian subcontinent, Africa and Latin America. Its recent spread may be caused by the expansion of Cavendish banana production and the movement of contaminated planting materials. C_LIO_LIWhole genome sequences of 119 Foc TR4 isolates were compared based on single nucleotide polymorphisms (SNPs) to assess the population structure, genetic diversity and relation among isolates from 20 countries to reveal the evolutionary origin and likely migration. C_LIO_LIFoc TR4 is a monophyletic lineage divided into four clusters. Two of the clusters included isolates mostly from eastern Indonesia and seem to be ancestral with many rare alleles and high genetic diversity supporting this region as centre of origin. The remaining clusters were less diverse and associated with pandemic expansion. C_LIO_LIKnowledge on Foc TR4 emergence and dispersal can be used to inform more effective biosecurity and management practice. C_LI

evolutionary biology↗

Integrated genomics and transcriptomics reveal mechanisms of extreme dietary adaptation in vampire bats

Vampire bats are the only tetrapods that feed exclusively on blood. To uncover the molecular basis of this extreme dietary specialization, we generated six new reference genomes, including genomes of all three vampire bat species, and integrated comparative analyses of gene sequence evolution (selection signatures, duplications, and losses) with transcriptomic data from six major organs to identify shifts in gene expression. Our integrative analyses reveal sequence or expression changes in 150 genes that illuminate the genetic mechanisms underlying sanguivory. Through comparative analyses and experiments, we show that the enlarged vampire bat stomach has increased connective tissue content enabling extreme expansion, is pH-neutral, and exhibits reduced mucus production, together providing molecular insights into its shift from a digestive to an absorptive organ for water, electrolytes, and vitamins. We further uncover pathway-level molecular changes underlying altered gastrointestinal motility; trypsin-dependent protein digestion; upregulated amino acid catabolism with key aspects diverging from other mammals; impaired dietary fat digestion counterbalanced by increased fatty acid synthesis; defective sugar metabolism and natural insulin deficiency; enhanced heme iron absorption; and adult splenic erythropoiesis. Together, these findings reveal the molecular adaptations that enable one of the most extreme dietary transitions among vertebrates.

evolutionary biology↗

Optogenetic decoupling of ODC inhibition and degradation reveals a requirement of polyamine oscillation for cell cycle progression

The dysregulation of polyamine homeostasis is a fundamental hallmark of both cancer and aging. Ornithine decarboxylase (ODC), the rate-limiting enzyme in polyamine synthesis, is regulated by the antizyme OAZ1 through a dual mechanism: inhibition of enzymatic activity and induction of proteasomal degradation via a C-terminal degron. In Bachmann-Bupp syndrome (BABS), mutations in this degron lead to ODC accumulation and toxic polyamine levels. However, the functional coupling between ODC inhibition and degradation remains poorly understood, and the current therapeutic intervention with DFMO target enzymatic activity without addressing protein accumulation. Here, we developed an optogenetic yeast model of BABS to decouple ODC inhibition from its degradation. By fusing a light-switchable LOV2-based module to a truncated, degron-less yeast ODC, we created a system where ODC degradation is controlled by light, independent of OAZ1 binding. We demonstrate that the loss of the ODC degron mimics the BABS cellular phenotype, characterized by increased polyamines, elevated ROS, and growth arrest. Crucially, while constant light-induced degradation is insufficient to rescue growth, oscillating ODC degradation at a 40-minute period restores polyamine homeostasis, cell cycle progression, and cellular growth. Our findings demonstrate that the inhibitory and degradation-inducing roles of OAZ1 can be decoupled and highlight the necessity of periodic polyamine oscillation for the cell cycle. Our work would be of great value for understanding the regulation mechanism of the polyamine metabolic network and establishing new targeted therapeutic strategies. Significance statementMutations in ODC degron lead to ODC accumulation and toxic polyamine levels in BABS. While DFMO has provided clinical relief for BABS patients, its utility is limited because it only inhibit ODC activity. We utilized an optogenetic approach in Saccharomyces cerevisiae to bridge this knowledge gap. We successfully decoupled the inhibitory and degradation-inducing functions of the ODC-OAZ1 axis and achieved three significant biological insights. First, we established yeast as a powerful and versatile model for investigating of the molecular mechanisms of BABS. Second, we demonstrated that the inhibitory and degradation-inducing roles of OAZ1 can be decoupled under specific conditions. Third, we revealed that periodic oscillation in polyamine levels is essential for maintaining proper cell cycle progressing.

molecular biology↗

Reconstructing sequence-grammar trajectories enables interpretable and tunable cis- regulatory element design

Designing synthetic cis-regulatory elements (CREs) with cell-type-specific activity remains challenging, and optimization is usually treated as a black box, obscuring how regulatory grammar emerges and why design trajectories fail. Here, we present GO-CRE (Guided Optimization of Cis-Regulatory Elements), which combines efficient sequence generation, predictor-guided reinforcement learning, and trajectory-level interpretation. GO-CRE reconstructs iterative sequence changes in a shared sequence-grammar landscape and identifies coordinated update programs corresponding to search, commitment, and optimization. Productive trajectories in HepG2 and K562 progressively acquired cell-type-associated grammar, whereas SK-N-SH trajectories remained confined to local basins. In HepG2, trajectory analysis revealed a low-complexity polyG trap; introducing a polyG penalty redirected optimization toward HNF/FOXA-associated features. Final designs retained sequence diversity while converging on cell-type-associated motif patterns. Lentiviral MPRA validated cell-type-specific activity in K562 and HepG2 and showed higher average activity of HepG2 designs than endogenous CREs. Together, these findings establish sequence-grammar trajectory reconstruction as a basis for interpretable and tunable synthetic CRE design.

genomics↗

Distinct and shared neural resources between processing of dynamic physical objects and spatial working memory

In human brains, portions of the frontoparietal cortex respond when people reason about the physical world (e.g. track objects, make predictions), and when people engage in a variety of demanding tasks (e.g. working memory, motor inhibition). Here, we use functional neuroimaging to address an open question about whether the same neural resources support both mental functions. Twenty-eight human adults (Mage = 26.5y; 17 female; 26 right handed) were scanned using functional magnetic resonance imaging (fMRI) while they (i) tracked the dynamics of physical objects (vs social agents), and (ii) performed a hard (vs easy) spatial working memory task. For each participant, we identified functional regions of interest (fROIs) that were maximally engaged by each task (physical > social; hard > easy), and studied their engagement in the held out task. We report three pieces of evidence that physical > social fROIs are recruited during the spatial working memory task. First, fROIs maximally engaged during physical (vs social) processing responded just as strongly during hard (vs easy) spatial working memory. Second, people with strong hard > easy responses in one set of regions also tended to have strong physical > social responses in the other set. Third, people with strong hard > easy responses in physical > social fROIs, but not in hard > easy fROIs, performed more strongly at spatial working memory in the scanner. These findings suggest that portions of the frontoparietal cortex that preferentially respond to physical (vs social) stimuli are involved in functions beyond physical reasoning: either spatial processing specifically, or attentionally demanding tasks in general.

neuroscience↗

Conformational Basis of Functionally Selective Allosteric Modulation of the Angiotensin II type 1 Receptor by Small Molecules

Blockade of signaling through the angiotensin II type 1 receptor (AT1R), a prototypical G protein-coupled receptor (GPCR), by angiotensin receptor blockers (ARBs) is a major therapeutic approach to treating a wide variety of cardiovascular and renal diseases1. Like most GPCRs, the AT1R signals through two transducers, G proteins and {beta}-arrestins2,3. Previous reports have described {beta}-arrestin-biased peptide orthosteric agonists for the AT1R with potential therapeutic advantages over currently available unbiased ARBs4-6. Here we report the DNA- encoded library screening-guided isolation and pharmacological characterization of the first small molecule AT1R allosteric ligands. We use cryo-electron microscopy, double electron- electron resonance spectroscopy, molecular dynamics simulations, and targeted mutagenesis to determine their binding sites, binding modes and conformational mechanisms driving their unique and divergent modulatory effects on G protein and {beta}-arrestin pathways. Our findings uncover new mechanisms for precisely controlling the dynamic behavior of the AT1R with implications for drug development targeting this pathophysiologically important receptor family.

biochemistry↗

An immunocompetent model of MCPyV-driven Merkel cell carcinoma reveals tumor evolution under immune selection

Merkel cell carcinoma (MCC) is a neuroendocrine skin tumor that is frequently driven by integration of Merkel cell polyomavirus (MCPyV). In MCC, the MCPyV genome is truncated, but expression of the viral tumor antigens, truncated large tumor antigen (LTT) and small tumor antigen (sT), is maintained and drives uncontrolled proliferation. We introduced constitutive expression of the MCPyV T antigens (TAs) into primary mouse dermal fibroblasts (MDFs) to determine whether these cells are susceptible to MCPyV-driven transformation. TA expression alone in MDFs induced key MCC markers, cytokeratin-20 (CK20) and Sry-box transcription factor 2 (SOX2), and promoted anchorage-independent growth indicative of cellular transformation. Subcutaneous implantation of TA-transformed fibroblasts produced high-grade MCC-like tumors that grew persistently in immunodeficient NSG mice but not in immunocompetent C57BL/6 mice. Serial in vivo passaging of the tumor cell line enhanced tumor growth, reduced expression of p53-target genes and MHC-1, and was accompanied by a shift in T antigen isoform expression, with decreased LTT and increased sT expression. Our data demonstrate that MCPyV-driven tumors acquire immune-evasive adaptions during tumor progression in vivo and suggest that the anti-tumor immune response exerts selective pressure in MCC that favors expression of sT rather than LTT. The model established in this study provides a unique platform for studying evolution of MCPyV-driven tumors under immune pressure and identifying mechanisms of immune evasion in MCC that could be used to develop new therapeutic strategies. Significance StatementMCPyV tumor antigen expression transforms mouse dermal fibroblasts to generate MCC-like tumors. Serial in vivo passaging reveals tumor evolution under immune pressure, providing a model to study immune evasion mechanisms in MCC.

cancer biology↗

The neuropathy-causing GARS1{triangleup}ETAQ mutation drives pathology in subsets of motor and sensory neurons in mice

Charcot-Marie-Tooth disease type 2D (CMT2D) results from gain-of-function mutations in GARS1, which encodes glycyl-tRNA synthetase (GlyRS), the enzyme responsible for charging transfer RNA (tRNA) with glycine. There are several CMT2D mouse models, but Gars{Delta}ETAQ/+ is the only one that bears a patient-sourced mutation. Created using CRISPR/Cas9 to model a 12-nucleotide de novo GARS1 deletion identified in an unusually severe CMT2D patient, Gars{Delta}ETAQ/+ mice have previously been shown to display several neuromuscular phenotypes; motor axon loss, denervated neuromuscular junctions (NMJs) and reduced muscle function. Here, we extend these analyses to provide a more comprehensive understanding of both motor and sensory nerve deficits across hind- and fore-limbs. At 3 months, Gars{Delta}ETAQ/+ mice possess sex-independent alterations in the levels of neuropathy biomarkers - including decreased NfL and increased periaxin - alongside reduced muscle endurance and strength, and impairments in the sensory modalities of mechanosensation, proprioception and nociception. Underpinning these dysfunctions, we identified site-specific defects comprising altered sensory neuron populations, muscle spindle loss, reduced motor neuron size, disrupted NMJ innervation and maturation, and reduced axonal transport of signalling endosomes in vivo. Together, these experiments show that Gars{Delta}ETAQ/+ mice display robust and selective peripheral nerve pathology that manifests in a general distal-to-proximal fashion, priming this CMT2D allele for testing treatments and evaluating mechanisms underlying peripheral nerve vulnerability. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/736541v1_ufig1.gif" ALT="Figure 1"> View larger version (70K): org.highwire.dtl.DTLVardef@b48a41org.highwire.dtl.DTLVardef@e0c22dorg.highwire.dtl.DTLVardef@1ec2f5forg.highwire.dtl.DTLVardef@11a3311_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Device-embedded accelerometry complements neural signals for tracking parkinsonian motor states

Adaptive deep brain stimulation (aDBS) relies on physiological biomarkers to infer motor state and guide therapeutic stimulation in Parkinsons disease. However, neural biomarkers may themselves be altered by stimulation, potentially limiting their utility for closed-loop control. We address this limitation by testing whether DBS device-embedded accelerometers can accurately track Parkinsonian motor state across stimulation conditions. We analysed over 1,900 hours of chronic recordings of subthalamic nucleus (STN), sensorimotor cortical and device-embedded accelerometry signals acquired before and during continuous STN stimulation, alongside continuous wearable assessments of bradykinesia and dyskinesia. Across stimulation conditions, accelerometry-derived features robustly tracked motor symptom severity and outperformed neural features for symptom decoding. Mechanistically, total STN beta power - a widely used biomarker for aDBS - proved less informative because it conflates periodic and aperiodic neural processes with opposing relationships to motor state. Under active stimulation, periodic beta activity showed reduced coupling to symptom severity, whereas STN aperiodic activity, cortical periodic activity and cortico-subthalamic coherence remained comparatively stable. Together, these findings demonstrate that neural and behavioural biomarkers exhibit differential robustness during deep brain stimulation and identify device-embedded accelerometry as a robust behavioural biomarker of motor state, motivating its use in next-generation adaptive DBS systems.

bioengineering↗

Molecular mechanism of action of a blood brain barrier shuttle antibody

The transferrin receptor has emerged as a prime target for transcytosis of antibody shuttles from the bloodstream into the brain parenchyma to deliver therapeutic payloads that treat neurological disorders. However, how the transferrin receptor-antibody binding mode impacts avidity, degradation, pH sensitivity and delivery remains underexplored. To address this, we determined the cryo-EM structure of mouse transferrin receptor 1 bound to the model brain shuttle antibody 8D3. In combination with cell binding and localisation studies we show that 8D3 can structurally support small-scale inter-receptor cross-linking, such as in self-contained pairs, that cause avidity but do not induce receptor redistribution or degradation. The structure can also explain pH-dependent binding modes, and we show how some of these antibody variants with graded sensitivities regulate brain penetration in vivo. Overall, our study illuminates how distinct molecular features of antibody binding impact transferrin receptor behaviour and brain delivery to inform on future shuttle design.

neuroscience↗

A Generalized Spatial Progress Code for Navigation in the Medial Prefrontal Cortex

Goal-directed navigation requires an internal estimate of progress toward a desired outcome, yet how the brain constructs and represents such a signal remains unclear. Here, we designed a multi-route navigation paradigm with geometrically distinct paths and imaged medial prefrontal cortex (mPFC) activity as mice performed goal-directed route choice behavior. We found that a substantial fraction of mPFC neurons fired at consistent positions along a normalized start-to-goal axis, independent of path geometry, running direction, and task context. At the ensemble level, mPFC activity reliably decoded spatial progress but carried minimal information about path identity. This progress code emerged with task familiarity and required input from the hippocampal CA1. Inactivation of either mPFC or CA1[->]mPFC projection did not disrupt learned path preference but impaired navigational fluency in trained mice. These findings reveal a hippocampal-prefrontal mechanism for representing abstract, context-generalized spatial progress within a goal-directed navigational episode, supporting fluent navigation across variable routes.

neuroscience↗

Evolutionary Origins of Molecular Programs Underlying Brain Circuitry

The vertebrate pallium harbors independently evolved structures that, nevertheless, support strikingly similar sensory and cognitive circuit architectures. The mechanisms and evolutionary timing driving the emergence of these parallel pallial circuits remain unelucidated. Here, we integrated spatial transcriptomic and single-nucleus RNA-seq datasets from eight representative vertebrate species spanning approximately 500 million years of evolution to reconstruct the evolutionary assembly of the primary sensory-allocortical (Pr-Al) molecular axis, a conserved cortical hierarchical axis defined in our prior work. We uncovered that Pr- and Al-like neuronal identities are deeply conserved across sarcopterygians, encompassing all tetrapods and lobe-finned fishes. Intriguingly, this ancestral neuronal homology is uncoupled from spatially partitioned patterning: only tetrapods further compartmentalized these Pr- and Al- neurons into distinct pallium regions. Functional enrichment of Pr- and Al- gene programs uncovered a conserved tetrapod genetic core suite including MAPK signaling and axon guidance pathways. This core toolkit underwent sequential functional refinement from amphibians through mammals. Notably, mammals and birds convergently evolved association-cortical molecular profiles enriched for synaptic regulatory genes to support advanced cognitive functions. Collectively, this work delineates a stepwise vertebrate pallium evolutionary paradigm that explains how conserved molecular modules shape spatially organized brain circuitry across deep evolutionary time.

evolutionary biology↗

A Designed Ankyrin Repeat Protein (DARPin) Targeting EGFR Inhibits Ovulation and Enables a Novel Platform for Studying Ovarian Biology and Pathophysiology

Ovarian disorders, including anovulation, primary ovarian insufficiency (POI), and polyendocrine metabolic ovarian syndrome (PMOS), affect millions of reproductive-age women worldwide; however, mechanistic studies of ovarian biology and pathophysiology remain challenging because current experimental approaches often lack selectivity, tunability, or physiological relevance. Genetically modified animal models are labor-intensive and irreversible; small molecules frequently exhibit off-target effects; and conventional antibodies have limited tissue penetration and restricted temporal control. Designed ankyrin repeat proteins (DARPins) represent a highly modular protein engineering platform with advantages in specificity, size, stability, and extracellular targeting, but their utility in reproductive biology remains largely unexplored. Here, we used epidermal growth factor receptor (EGFR)-targeting DARPins as a proof-of-concept platform to interrogate ovarian signaling during ovulation. Screening of engineered anti-EGFR DARPins identified SX-006, a bispecific tetravalent construct with robust cross-species EGFR binding and potent biological activity. Using an ex vivo murine ovulation system, SX-006 inhibited follicle rupture in a dose-dependent manner with IC50 of 1.21 M without overt cytotoxicity. Lower concentrations of SX-006 preferentially perturbed follicle rupture while largely preserving oocyte meiotic maturation and luteinization, suggesting differential sensitivity of ovulatory processes to extracellular EGFR blockade. Comparative transcriptomic analyses further revealed that extracellular EGFR blockade and small molecule-based intracellular EGFR kinase inhibition produce overlapping but also distinct transcriptional responses, supporting biologically distinct modes of ovulatory signaling pathway perturbation. Together, these findings establish DARPins as a selective, tunable, and physiologically relevant platform for studying ovarian signaling and provide proof-of-concept for extracellular receptor targeting in ovarian biology, infertility research, and non-hormonal contraceptive development. Summary sentenceAn engineered EGFR-targeting DARPin selectively inhibits ovulation through extracellular receptor blockade and establishes a versatile platform for investigating ovarian signaling and reproductive disorders.

pharmacology and toxicology↗

Fibulin-2 transduces a matrix-to-metabolism signal in kidney fibrosis

Fibrotic extracellular matrix (ECM) is not merely a structural scaffold but an instructive signaling interface that shapes epithelial cell state. However, the molecular cues by which matrix remodeling controls tubular metabolism during kidney fibrosis remain poorly defined. Here, we identify Fibulin-2 (FBLN2) as a fibroblast-derived matrix cue that transduces fibrotic ECM remodeling into tubular mitochondrial metabolic reprogramming. Using fibroblast-selective deletion of Smoothened (Smo) across distinct fibroblast subpopulations, we found that loss of fibroblast Smo preserved kidney function and attenuated fibrosis in mouse models of chronic kidney injury. Multi-omics profiling revealed coordinated remodeling of the fibrotic matrisome, highlighted by suppression of FBLN2, an ECM glycoprotein genetically linked to kidney function in humans. Mechanistically, FBLN2 engaged EGFR in tubular epithelial cells and activated EGFR-AKT signaling in a non-canonical ligand-like manner. This signaling axis suppressed acetyl-CoA acetyltransferase 1 (ACAT1), a mitochondrial regulator of fatty acid oxidation and amino acid metabolism. Disruption of fibroblast Smo-FBLN2 signaling restored ACAT1-dependent oxidative metabolism and reduced tubular fibrotic activation. Spatial lipidomics revealed compartment-specific lipid remodeling associated with altered mitochondrial fatty acid metabolism, including acylcarnitine and phospholipid changes linked to reduced fibrotic injury. Together, these findings define a Fibulin-2-EGFR-ACAT1 matrix-to-metabolism signaling axis that couples fibrotic ECM remodeling to tubular mitochondrial metabolism during kidney fibrosis.

cell biology↗

Bioinstructive Orthogonally-crosslinked Ovoprotein Microgels for Modular Bioprinting

Bioprinting increasingly requires biomaterials that are not only printable, but structurally adaptive and biologically instructive. Here we establish an ovoprotein-derived microgel platform that couples intrinsic protein bioactivity with orthogonal interparticle photocrosslinking for modular bioprinting. Methacrylated ovoproteins yielded a photoresponsive protein-rich hydrogel matrix with retained proteomic complexity, tunable mechanics, and cell-regulatory biofunction. Endogenous tyrosine chemistry drove interparticle dityrosine coupling between ovoprotein microgels, producing cohesive, microporous, and intrinsically autofluorescent granular networks. The resulting systems displayed programmable rheology and broad compatibility across digital light processing, extrusion-based and aspiration-assisted bioprinting. Functionally, the ovoprotein microgel matrices attenuated sustained pro-inflammatory macrophage activation, promoted endothelial organization and host angiogenic invasion, and supported spheroid-mediated vascular morphogenesis with progressive sprouting, lumenization, branching and inosculation. It further enabled bioprinted osteogenic constructs with long-term maturation into bone-like mineralized tissues in vitro. These findings establish ovoprotein microgel-spheroid bioassembly as an adaptive, bioinstructive strategy for engineering vascularized and mineralized tissue constructs.

bioengineering↗

In vitro virus-like particle assembly follows two distinct, competing pathways

1.Virus-like particles (VLPs) formed from the murine polyomavirus major capsid protein VP1 are widely used as vaccine antigens and are being explored as nucleic acid and drug delivery vehicles. However, the factors controlling distinct VP1 capsid morphologies remain unclear. We investigated in vitro VP1 assembly with tRNA across NaCl concentrations of 0.15-1.0 M and tRNA mass ratios of 1:1-1:80 (w/w) using SEC-HPLC, transmission electron microscopy, and dynamic light scattering. Two competing assembly pathways were identified. At low ionic strength ([≤]0.15 M NaCl), nucleic acid-templated assembly produced compact, tRNA-filled T=1 VLPs ([~]28-30 nm). Assembly was maximal at tRNA ratios of 1:10-1:20, whereas excess or insufficient tRNA reduced yields. Increasing NaCl to 0.30 M lowered T=1 yields by 68-97%, and no T=1 particles were detected at [≥]0.5 M NaCl. Conversely, high ionic strength ([≥]0.5 M NaCl) promoted template-independent formation of hollow T=7 VLPs ([~]55-60 nm). T=7 assembly was inhibited by tRNA and was highest without nucleic acid. At 1.0 M NaCl, reducing the tRNA ratio from 1:40 to 1:80 increased T=7 yield more than 11-fold, while removing tRNA produced the greatest assembly efficiency. Kinetic analyses further showed that VP1 concentration and ionic strength regulate nucleation and assembly rate in the template-driven pathway. These findings show that electrostatic interactions govern pathway selection between tRNA-templated T=1 assembly and salt-driven T=7 self-assembly, providing practical guidance for controlling capsid morphology and cargo loading in VLP-based applications.

Molecular Biology↗

Single-camera, calibration-free gaze estimation using corneal reflections

BackgroundMice make substantial eye movements during head-fixed visual stimulation, and uncorrected gaze shifts corrupt receptive field measurements and confound stimulus-response relationships. Corneal-reflection video oculography in rodents has provided the methodological foundation for calibrated angular gaze tracking since Stahl (2004) but the calibration procedures used by existing methods -- physical camera rotation, motorized stages, behavioral tasks, or precisely co-aligned dual cameras -- have limited their adoption in many mouse neuroscience laboratories. Most studies instead use uncalibrated pupil tracking, deep learning pose estimation that returns pixel coordinates without angular calibration, or learned shifter networks that lack independent validation. New methodWe present an open-source corneal-reflection eye tracking system for head-fixed mice with two methodological contributions. First, a geometric model recovers gaze in calibrated angular units from the pixel displacements of the pupil and corneal reflections, using the known 3D positions of multiple fiducial LEDs as the source of angular scale. The model requires no estimate of Rp, the per-animal eye-geometry parameter that earlier corneal-reflection methods determine through physical calibration. Second, a self-calibration procedure exploits the redundancy of multiple stationary fiducial LEDs: each LED produces an independent gaze estimate from the same geometric model, and a single residual calibration parameter is determined by minimizing the disagreement between per-LED estimates. This replaces the physical camera-rotation calibrations of earlier video oculography (Sakatani and Isa, 2004, 2007; van Alphen et al., 2013; Kretschmer et al., 2017), the motorized stages of Zoccolan et al. (2010), and the precision dual-camera alignment of Payne and Raymond (2017) with a software operation that requires no moving parts, no behavioral task, and no per-animal procedure. The system provides three interactive GUI stages: (1) pupil and LED detection via Difference-of-Gaussians filtering, (2) 3D geometry definition, and (3) gaze angle computation with blink detection, fiducial correction, and manual curation. ResultsValidation against a rotary-encoder-controlled artificial eye demonstrated mean absolute errors below 1{degrees} across all four fiducial LEDs over the {+/-}20{degrees} working range of mouse eye movements, with Pearson correlations exceeding 0.998 between our methods estimation and encoder ground truth. The self-calibration reduced inter-LED disagreement by a factor of 4-6 in mouse recordings. Gaze-corrected stimulus reconstruction applied to Neuropixels recordings from mouse V1 produced qualitatively sharper receptive field estimates with improved signal-to-noise ratios. Comparison with existing methodsOur method is the first multi-LED, single-camera, fully software-calibrated corneal-reflection eye tracker for mice and includes an integrated open-source pipeline for detection, calibration, blink handling, and artifact correction. The multi-LED redundancy doubles as an internal consistency check -- if two LEDs disagree on gaze direction, the calibration is wrong -- providing a guarantee that learned approaches relying on neural-data-derived correction cannot offer. ConclusionsOur method makes calibrated corneal-reflection eye tracking accessible to non-specialist mouse laboratories using consumer-grade hardware ([~] $2,000-2,700 USD), eliminates the per-animal calibration procedures of earlier methods, and is validated by two independent ground truths at both the absolute angular (artificial eye) and functional (V1 receptive fields) levels. HighlightsO_LIOpen-source corneal-reflection eye tracking for head-fixed mice using a single camera and multiple stationary fiducial LEDs. C_LIO_LIGeometric gaze model derives angular scale from LED positions, eliminating per-animal eye-geometry calibration. C_LIO_LISelf-calibration via multi-LED redundancy replaces physical camera rotation, motorized stages, and dual-camera precision alignment. C_LIO_LIValidated to sub-degree accuracy against a rotary-encoder ground truth across the {+/-} 20{degrees} range of mouse eye movements. C_LIO_LIGaze correction produces sharper V1 receptive field estimates in Neuropixels recordings. C_LI

neuroscience↗

Profilin-1 Deficiency Activates STING to Drive T Cell-Mediated Anti-Tumor Immunity in Breast Cancer

Dysregulation of actin-binding protein Profilin1 (Pfn1) in tumor cells has prominent impacts on the tumor-intrinsic aspects of tumor progression. However, whether and how modulation of Pfn1 expression in tumor cells influences immune surveillance in cancer is not known. We utilized an inducible CRISPR/Cas9 knockout (KO) model to first demonstrate that triggering Pfn1 depletion in breast cancer cells leads to features of genomic instability (polyploidy, micronuclei, and DNA damage) and intrinsic defects in both homologous-recombination- and non-homologous end-joining-mediated double-stranded DNA repair. Pfn1-deficient breast cancer cells exhibit nuclear envelope abnormality and the accumulation of cytosolic DNA. This leads to activation of the nucleic acid-sensing cGAS-STING pathway and the type-I interferon (IFN) response including STING-mediated upregulation of pro-inflammatory chemokines. In an immunocompetent mouse model of breast cancer, triggering Pfn1 loss selectively in tumor cells promotes an immunogenic tumor microenvironment marked by a striking increase in intratumoral presence of CD8 T cells, leading to a robust tumor regression. Pfn1 knockout-induced tumor regression requires an intact immune system and can also be reversed by CD8+ T cell depletion. Based on these findings, we conclude that Pfn1 loss in tumor cells leverages a type I IFN response to drive a T-cell-mediated anti-tumor response in breast cancer. These findings for the first time reveal promising therapeutic opportunities in targeting Pfn1-driven pathways to enhance immunotherapeutic outcomes in breast cancer. Significance StatementExpression of actin-binding protein Profilin-1 is frequently altered in cancer; yet how these changes impact the immune response against tumors is unclear. Here we show that triggering Profilin-1 depletion in breast cancer cells promotes features of genomic instability, defects in DNA repair, and cytosolic release of DNA. This activates the cGAS-STING pathway, triggering a type I interferon response and immune-cell-attracting signals that drive a CD8+ T cell-mediated anti-tumor immune response and tumor regression in vivo. Therefore, Profilin-1 could be a novel actionable target for achieving immunological benefit in breast cancer. On a broader level, our studies establish a conceptual framework of how dysregulation of actin cytoskeletal proteins can harness nuclear damage-sensing signaling to augment anti-tumor immune response in cancer.

cancer biology↗