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Wilson, J. J.

Publications and source records attributed to Wilson, J. J..

8 recordsLinked to original sources

Tackling the Complexity of Spatial Transcriptomics Data Interpretation with Large Language Models

Spatial transcriptomics offers unprecedented insights into the complex cellular landscapes of tissues, particularly in cancer research where understanding the tumor microenvironment is crucial. However, interpreting the vast and intricate data generated by this technology remains a significant challenge. This study explores the potential of Large Language Models (LLMs) to assist in the analysis and interpretation of spatial transcriptomic data from a murine melanoma tumor model. We first evaluated the performance of multiple LLM models in describing and quantifying spatial gene expression patterns. Our benchmarking revealed that spatial transcriptomics data interpretation proved challenging for most models, with only a few demonstrating sufficient capability for this complex task. Using Claude 3.5 Sonnet, which showed the highest accuracy in spot quantification and pattern recognition, we developed a systematic workflow for analyzing the tumor immune landscape. The model first assisted in identifying and prioritizing panels of M1 and M2 macrophage-associated markers through knowledge-driven scoring. It then demonstrated remarkable ability to integrate spatial expression data with extensive immunological knowledge, providing sophisticated interpretation of local immune organization. When analyzing individual tumor regions, the model identified coordinated immunosuppressive mechanisms including metabolic barriers and disrupted pro-inflammatory signaling cascades, findings that both aligned with and extended current understanding of tumor immunology. This study highlights the potential of LLMs as powerful assistive tools in spatial transcriptomics analysis, capable of combining advanced pattern recognition with extensive knowledge integration to enhance data interpretation. While significant development work remains to make such workflows scalable, our proof of concept demonstrates that LLMs can help accelerate the translation of spatial transcriptomics data into biological insights.

cancer biology↗

IL-3-driven T cell-basophil crosstalk enhances anti-tumor immunity

Cytotoxic T lymphocytes (CTLs) are pivotal in combating cancer, yet their efficacy is often hindered by the immunosuppressive tumor microenvironment, resulting in exhaustion. This study investigates the role of interleukin (IL)-3 in orchestrating anti-tumor immunity through CTL modulation. Intratumoral CTLs undergo a progressive decline in IL-3 production, which is correlated with impaired cytotoxic function. Augmenting IL-3, through intraperitoneal administration, IL-3-expressing melanoma cells, or IL-3-engineered CD8+ T cells, confers protection against tumor progression, concomitant with increased CTL activity. CTLs are critical in this therapeutic efficacy as IL-3 demonstrates no impact on tumor growth in RAG1 knockout mice or following CD8+ T cell-depletion. Rather than acting directly, CTL-derived IL-3 exerts its influence on basophils, synergistically amplifying anti-tumor immunity within CTLs. Introducing IL-3-activated basophils retards tumor progression, whereas basophil depletion diminishes the effectiveness of IL-3 supplementation. Furthermore, IL-3 prompts basophils to produce IL-4, which subsequently elevates IFN-{gamma} production and viability of CTLs. Notably, the importance of basophil-derived IL-4 is evident from the absent benefits in IL-3-supplementated, IL-4 knockout tumor-bearing mice. Overall, this research unveils IL-3-mediated CTL-basophil crosstalk in regulating anti-tumor immunity and offers the prospect of harnessing IL-3 sustenance as a promising approach for optimizing and enhancing cancer immunotherapy. Significance StatementThis study elucidates the critical role of IL-3 in orchestrating anti-tumor immunity, particularly within the context of CTLs and melanoma growth. It reveals a progressive decline in CTL-derived IL-3 during tumor progression, correlated with CTL exhaustion--a formidable barrier in cancer immunotherapy. Intriguingly, augmentation of IL-3, achieved through diverse means, effectively impedes tumor progression by enhancing CTL activity. This research unveils a novel mechanism: IL-3-mediated crosstalk between CTLs and IL-4-producing basophils, resulting in the rejuvenation of CTLs and amplifying their anti-tumor ability. These insights hold promise for the advancement and optimization of cancer immunotherapeutic strategies, deepening our comprehension of CTL dynamics within the tumor microenvironment, and advancing our ability to combat cancer effectively.

immunology↗

Electrophysiological properties of the medial mammillary bodies across the sleep-wake cycle

The medial mammillary bodies (MB) play an important role in the formation of spatial memories. Dense anatomical connectivity with hippocampal, brainstem, and thalamic structures, positions them as a focal point for the integration of movement-related and spatial information that is extended to the anterior thalamic nuclei and beyond to cortex. While their anatomical connectivity has been well-studied, much less is known about the physiological properties of the medial MBs, particularly in freely moving animals. We therefore carried out a comprehensive characterization of medial MB electrophysiology across arousal states by concurrently recording from the medial MB and the CA1 field of the hippocampus. In agreement with previous studies, we found medial MB neurons to have firing rates modulated by running speed and angular head velocity, as well as theta-entrained firing. We extended the characterization of MB neuron electrophysiology in three key ways: 1) we identified a subset of neurons (25%) that exhibit dominant bursting activity; 2) we show that [~]30% of theta-entrained neurons exhibit robust theta cycle skipping, a firing characteristic that implicates them in a network for prospective coding of position; 3) A considerable proportion of medial MB units show sharp wave-ripple (SWR) responsive firing ([~]37%). The functional heterogeneity of MB electrophysiology reinforces their role as an integrative node for mnemonic processing and identifies potential roles for the MBs in memory consolidation through propagation of SWR-responsive activity to the anterior thalamus and prospective coding in the form of theta-cycle skipping. Significance StatementWhile the medial mammillary bodies (MBs) are important for memory, it is still not clear how they support memory formation. Through conjoint medial MB and hippocampal recordings across different arousal states we identified a population of medial MB units with diverse and often conjunctive physiological properties, including theta-entrained cells, cells modulated by running speed and angular head velocity, complex bursting, theta cycle skipping activity, and hippocampal sharp-wave ripple-responsive firing. These properties likely support a role for the medial MBs in mnemonic processing, enabling the integration of separate sensory streams and the propagation of information to the thalamus.

neuroscience↗

Transcriptome Analysis Reveals Organ-Specific Effects of 2-Deoxyglucose Treatment in Healthy Mice

ObjectiveGlycolytic inhibition via 2-deoxy-D-glucose (2DG) has potential therapeutic benefits for a range of diseases, including cancer, epilepsy, systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA), and COVID-19, but the systemic effects of 2DG on gene function across different tissues are unclear. MethodsThis study analyzed the transcriptional profiles of nine tissues from C57BL/6J mice treated with 2DG to understand how it modulates pathways systemically. Principal component analysis (PCA), weighted gene co-network analysis (WGCNA), analysis of variance, and pathway analysis were all performed to identify modules altered by 2DG treatment. ResultsPCA revealed that samples clustered predominantly by tissue, suggesting that 2DG affects each tissue uniquely. Unsupervised clustering and WGCNA revealed six distinct tissue-specific modules significantly affected by 2DG, each with unique key pathways and genes. 2DG predominantly affected mitochondrial metabolism in the heart, while in the small intestine, it affected immunological pathways. ConclusionsThese findings suggest that 2DG has a systemic impact that varies across organs, potentially affecting multiple pathways and functions. The study provides insights into the potential therapeutic benefits of 2DG across different diseases and highlights the importance of understanding its systemic effects for future research and clinical applications.

systems biology↗

Advanced PCL-Chitosan Nanofibrous Wound Care Material for Enhanced Wound Healing

Wet electrospinning has many advantages over conventional electrospinning processes. However, the technique is not commonly used due to the limited availability of suitable materials and accessibility of the technique. In this study different ratios of PCL-chitosan blend was prepared and fabricated into a highly porous scaffold system by wet electrospinning. The keratinocytes and fibroblast cells were seeded on the top and bottom side of the scaffold respectively to develop a bilayer skin construct. We conducted tests to examine the biological properties of the material including their cell viability, in vitro wound healing efficiency, and gene expression of collagen-I, collagen-III, cytokeratin-14, and cytokeratin-5. The findings indicate that PCL-chitosan can serve as a highly effective wound dressing material, with remarkable wound healing properties.

bioengineering↗

Polynuclear ruthenium complexes are effective antibiotics against Pseudomonas aeruginosa

There is an urgent need to develop new antibiotics for the treatment of infections caused by drug-resistant Gram-negative bacteria. In particular, new and diverse chemical classes of antibiotics are needed, as most antibiotics in clinical development are derivatives of existing drugs. Despite a history of use as antimicrobials, metals and metal-based compounds have largely been overlooked as a source of new chemical matter for antibacterial drug discovery. In this work, we identify several ruthenium complexes, ruthenium red, Ru265, and Ru360, that possess potent antibacterial activity against both laboratory and clinical isolates of Pseudomonas aeruginosa. Suppressors with increased resistance were sequenced and found to contain mutations in the mechanosensitive ion channel mscS-1 or the colRS two component system. The antibacterial activity of these compounds translated in vivo to Galleria mellonella larvae and mouse infection models. Finally, we identify strong synergy between these compounds and the antibiotic rifampicin, with a dose-sparing combination therapy showing efficacy in both infection models. Our findings provide clear evidence that these ruthenium complexes are effective antibacterial compounds against a critical priority pathogen and show promise for the development of future therapeutics.

microbiology↗

Probing the Drug Dynamics and Mode-of-Action of Chemotherapeutics Using Metasurface-Enhanced Infrared Reflection Spectroscopy of Live Cells

Infrared spectroscopy has drawn considerable interests in biological applications, but the measurement of live cells is impeded by the attenuation of infrared light in water. Metasurfaceenhanced infrared reflection spectroscopy (MEIRS) had been shown to mitigate the problem, enhance the cellular infrared signal through surface-enhanced infrared absorption, and encode the cellular vibrational signatures in the reflectance spectrum at the same time. In this study, we used MEIRS to study the dynamic response of live cancer cells to a newly developed chemotherapeutic metal complex with distinct modes of action (MoAs): tricarbonyl rhenium isonitrile polypyridyl (TRIP). MEIRS measurements demonstrated that administering TRIP resulted in long-term (several hours) reduction in protein, lipid, and overall refractive index signals, and in short-term (tens of minutes) increase in these signals that was consistent with the induction of endoplasmic reticulum stress. The unique tricarbonyl IR signature of TRIP in the bio-orthogonal spectral window was monitored in real time, and was used as an infrared tag to detect the precise drug delivery time that was shown to be closely correlated with the onset of the phenotypic response. These results demonstrate that MEIRS is an effective label-free real-time cellular assay capable of detecting and interpreting the early phenotypic responses of cells to IR-tagged chemotherapeutics.

biophysics↗

Augmented glucose dependency of autoreactive B cells provides a treatment target forlupus

Heightened glycolysis is inherent to immune/inflammatory disorders, but little is known of its role in the pathogenesis of systemic lupus erythematosus (lupus). Here, we profile key autoimmune populations in acute and chronic lupus-prone models and their response to glycolytic inhibition. We demonstrate that glycolysis is specifically required for autoreactive germinal center B cells (GCB), but not for T follicular helper cells (Tfh) to survive. This augmented reliance on glucose oxidation to maintain ATP production in pathogenic GCB renders them highly susceptible to oxidative stress-induced apoptosis triggered by glycolysis blockade via 2-deoxyglucose (2DG). We show that 2DG can preferentially reduce GCB in lupus-prone mice, while sparing other autoreactive populations, including Tfh, but still significantly improving lifespan and kidney function. Furthermore, the subset of GCB expressing B-cell maturation antigen (BCMA) exhibits an exaggerated dependence on glycolysis to sustain their growth. Depletion of these cells with a proliferation-inducing ligand-based CAR T-cells leads to greatly prolonged lifespan of mice with severe autoimmune activation. These results reveal that glycolysis dependent GCB, especially those expressing BCMA, are key lupus mediators and highlight that they can be selectively targeted to improve disease outcomes for lupus patients.

immunology↗