Biology subjects

Leon, M.

Publications and source records attributed to Leon, M..

11 recordsLinked to original sources

bioRxiv2026

TUMOR-PRE-ADIPOCYTE CROSSTALK SUSTAINS BREAST CANCER GROWTH VIA RET SIGNALLING

Adipose tissue is the dominant stromal component of the breast, yet whether breast tumors exploit adipocyte plasticity to support cancer growth remains unclear. Here, we show that breast tumors actively disturb adipocyte differentiation, generating an immature tumor-adjacent adipose niche enriched in pre-adipocytes that directly promotes tumor progression. In human breast cancer samples, adipocytes located near tumors acquire a pre-adipocyte-like state. Functional studies demonstrate that pre-adipocytes enhance tumor cell proliferation both in vivo and in vitro. Mechanistically, we identify tumor-intrinsic RET signaling as a key regulator of this interaction. The RET receptor is a clinically relevant target expressed in breast cancer. RET drives a PDGF-B-dependent paracrine program that maintains pre-adipocytes in the tumor milieu. In turn, pre-adipocytes provide RET ligands that reinforce oncogenic signaling in tumor cells. Disruption of the RET-PDGF-B axis limits tumor progression. Together, our findings reveal an active tumor-driven mechanism by which breast tumors regulate adipocyte linage states to sustain growth and identify a novel targetable pathway controlling tumor- adipose tissue communication.

cancer biology↗

bioRxiv2025

Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types

Cutaneous squamous cell carcinoma (cSCC), basal cell carcinoma (BCC), and melanoma - the three major skin cancers - collectively comprise over 70% of all cancer cases. Despite their prevalence, much understanding of cellular interactions in the skin cancer microenvironment is needed, both in the outer skin layer where the cancer originates and at the deeper junctional and dermal layers into which it progresses. To address this gap, we integrated 12 complementary spatial and single-cell technologies to generate orthogonally-validated cell signatures, spatial maps, and interactomes for cSCC, BCC, and melanoma. Through comprehensive comparisons and integrating these spatial methods, we provided practical benchmarking guidelines for experimental design and analysis. By identifying keratinocyte cancer cells and melanomas, we found distinct signatures of these cells compared to non-cancer keratinocytes and melanocytes. Spatial integration of transcriptomics, proteomics and glycomics uncovered cancer niches enriched for cancer initiating cells (melanocytes or keratinocytes) and fibroblast and T-cell (MKFT) clusters, with altered tyrosine and pyrimidine metabolism. Ligand-receptor analysis across >700 cell-type combinations and >1.5 million interactions highlighted key roles for CD44, integrins, and collagens, with CD44-FGF2 emerging as a potential therapeutic target. Consistently, melanoma showed strong MFT interactions, validated by Opal Polaris, RNAScope, Proximal Ligation Assay and two additional single-cell spatial platforms (making a total of 14 technologies). For population-scale generalisation, genetic associations from >500,000 individuals were mapped onto spatial skin tissues, identifying SNPs enriched in domains containing melanocytes and T cells and their ligand-receptor pairs, shedding light on functional mechanisms linking genetic heritability to cells within cancer tissue. We built an interactive multiomics resource for exploring spatially-resolved molecular signatures and cellular crosstalk in skin cancer, available at https://skincanceratlas.com.

cancer biology↗

bioRxiv2025

Enkephalinergic Neurons Gate Sex-Specific Control of Voluntary Micturition

Barringtons nucleus (Bar) is a brainstem hub essential for lower urinary tract (LUT) function, yet the molecular identity and functional specialization of its neuronal subtypes remain poorly defined. Here, we construct a single-nucleus transcriptional atlas of Bar and identify an excitatory Penk- expressing population (Bar-Penk) critical for LUT regulation. Bar-Penk neurons are selectively active during voiding, when the external urethral sphincter (EUS) relaxes, and their optogenetic activation elicits time-locked suppression of EUS activity. Chemogenetic activation of these neurons induces a sex-specific, aberrant pattern of micturition, whereas targeted ablation impairs voluntary marking behavior in response to female cues. We observe multiple regions involved in visceromotor regulation and behavioral state control that project to Bar-Penk neurons, supporting their role as integrators of internal state and environmental context that drive urinary output. These findings provide new insights into the brainstem circuits that shape reflexive and voluntary micturition and highlight how discrete neuronal subtypes contribute to sexually dimorphic regulation of LUT function.

neuroscience↗

bioRxiv2025

SM3DD with Segmented PCA: A Comprehensive Method for Interpreting 3D Spatial Transcriptomics

We developed Standardised Minimum 3D Distance (SM3DD), an entirely cell segmentation/annotation-free approach to the analysis of spatial RNA datasets, using it to compare lung tissue from 16 clinically normal individuals to those of 18 SARS-CoV-2 patients who died from acute respiratory distress syndrome. RNA spatial coordinates were determined using the CosMx Spatial Molecular Imager (Bruker Spatial Biology, US). For each individual transcript location, we calculated the three-dimensional distances to the nearest transcript of each transcript type, standardising the distances to each transcript type. Mean SM3DDs were compared between normal and SARS-CoV-2 patients. Notably, hierarchical clustering of the directional log10(P) values organized genes by functionality, making it easier to interpret biological contexts and for FKBP11, where a decrease in distance to MZT2A was the most significant difference, suggesting a role in interferon signaling. Using a segmented principal components analysis of the entire SM3DD dataset, we identified multiple pathways, including SARS-CoV-2 infection, even though the assay did not include any SARS-CoV-2 transcripts.

bioinformatics↗

bioRxiv2024

Spatial characterization of interface dermatitis in cutaneous lupus reveals novel chemokine ligand-receptor pairs that drive disease

BackgroundChemokines play critical roles in the recruitment and activation of immune cells in both homeostatic and pathologic conditions. Here, we examined chemokine ligand-receptor pairs to better understand the immunopathogenesis of cutaneous lupus erythematosus (CLE), a complex autoimmune connective tissue disorder. ObjectivesOur objectives were to (1) characterize the cellular and proteomic constitution of interface dermatitis in CLE using blister biopsies, (2) map chemokine:ligand receptor pairs that govern recruitment of immune cells to form interface dermatitis in CLE, and (3) perform unbiased analyses in tandem on different clinical subtypes to identify novel genes and proteins underlying discoid versus subacute CLE. MethodsWe used suction blister biopsies to measure cellular infiltrates with spectral flow cytometry in the interface dermatitis reaction, as well as 184 protein analytes in interstitial skin fluid using 96-plex immunoassay targeted proteomics. Flow and 96-plex immunoassay data concordantly demonstrated significant increases in T cells and antigen presenting cells (APCs). We also performed spatial transcriptomics and spatial proteomics of punch biopsies using digital spatial profiling (DSP) technology on CLE skin and healthy margin controls to examine discreet locations within the tissue. ResultsSpatial and 96-plex immunoassay data confirmed elevation of interferon (IFN) and IFN-inducible CXCR3 chemokine ligands. Comparing involved versus uninvolved keratinocytes in CLE samples revealed upregulation of essential inflammatory response genes in areas near interface dermatitis, including AIM2. 96-plex immunoassay data confirmed upregulation of Caspase 8, IL-18 which is the final product of AIM2 activation, and induced chemokines including CCL8 and CXCL6 in CLE lesional samples. Chemotaxis assays using PBMCs from healthy and CLE donors revealed that T cells are equally poised to respond to CXCR3 ligands, whereas CD14+CD16+ APC populations are more sensitive to CXCL6 via CXCR1 and CD14+ are more sensitive to CCL8 via CCR2. ConclusionsTaken together, our data map a pathway from keratinocyte injury to lymphocyte recruitment in CLE via AIM2-Casp8-IL-18-CXCL6/CXCR1 and CCL8/CCR2, and IFNG/IFNL1-CXCL9/CXCL11-CXCR3, and identify potential novel biomarkers of disease. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/574422v2_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@1e86dbeorg.highwire.dtl.DTLVardef@7d0208org.highwire.dtl.DTLVardef@1108aa8org.highwire.dtl.DTLVardef@ff255f_HPS_FORMAT_FIGEXP M_FIG C_FIG Model of chemokine systems governing recruitment of immune cell subsets to form interface dermatitis in cutaneous lupus. A. Summary of fresh tissue blister biopsy studies demonstrating increases in HLADR+ cells in nonlesional lupus biopsies as assessed by flow cytometry, and increased CXCL6 and CCL8 as assessed by 96 plex immunoassay. Lesional lupus biopsies also demonstrated significant increases in T cells and CXCL9/10/11 production. B. Model of chemokine-directed formation of interface dermatitis in cutaneous lupus. 1. Whole transcriptome atlas (WTA) digital spatial profiling (DSP) revealed increased AIM2 in keratinocytes proximal to inflammation, which is reported to be induced by environmental triggers including UV light and toxins. We also noted increased Caspase 8 (Casp8) and IL18 at the protein level, which can be induced downstream of AIM2. Chemokines including CXCL6 and CCL8 can be induced downstream of IL18, explaining how CCL8 and CXCL6 might be induced. 2. Recruitment of myeloid cell first responders by CCL8 and CXCL6. CD14+CD16+ myeloid cells, which were recently described in nonlesional lupus skin, express CXCR1 and migrate towards CXCL6, whereas CD14+CD16-myeloid cells express more CCR2 and migrate towards CCL8. 3. The CXCR3 ligands CXCL9/10/11 are expressed by keratinocytes, but more strongly in CD45+ immune cell and T cell regions of interest (ROIs). 4. T cells express CXCR3 and migrate towards CXCL9 and to a greater extent CXCL11. 5. The recruited HLADR+ myeloid populations and T cells contribute to formation of interface dermatitis. Thus, we propose a model in which keratinocyte/myeloid crosstalk can reinforce chemokine systems to optimally recruit lymphocytes and other immune cells to form interface dermatitis. Created with Biorender.com. Plain language summaryLupus skin rashes arise during flares, after exposure to medications or sunlight, or in response to other triggers of inflammation. To understand how white blood cells enter the skin to cause these rashes, we used new technologies to look at proteins that attract them into the skin. We found proteins that are expressed by skin cells in lesions that can recruit specific types of white blood cells that are thought to be the initiators of skin rashes. Once in the skin, these and other white blood cells can make additional proteins that bring in more and more cells. We hope that our findings will be used to test new topical treatments for lupus and other autoimmune skin rashes.

immunology↗

bioRxiv2023

Lack of p38 activation in T cells increases IL-35 production and protects against obesity by promoting thermogenesis

Obesity is characterized with low grade inflammation, energy imbalance and impaired thermogenesis. The role of regulatory T cells (Treg) in inflammation-mediated maladaptive thermogenesis has not been well established. We discovered that p38 pathway is a key regulator of T cell-mediated adipose tissue (AT) inflammation and browning. Mice with T cells specific deletion of the p38 activators, MKK3/6, were protected against diet-induced obesity and AT inflammation improving their metabolic profile, higher browning and thermogenesis. We identified IL-35 as a driver of adipocyte thermogenic program through ATF2/UCP1/FGF21 pathway. IL-35 limits CD8+ T cell infiltration and inflammation in AT. Interestingly, we found that IL35 was reduced in visceral fat from obese patients. Mechanistically we showed that p38 controls the expression of IL-35 in human and mouse Treg cells through mTOR pathway activation. Our findings highlight p38 signaling as a molecular orchestrator of AT T cell accumulation and function and identify p38 and IL-35 as promising targets for metabolic diseases.

immunology↗

bioRxiv2022

Macrophage and neutrophil heterogeneity at single-cell spatial resolution in inflammatory bowel disease

Ulcerative colitis (UC) and Crohns disease (CD) are chronic inflammatory intestinal diseases that show a perplexing heterogeneity in manifestations and response to treatment. The molecular basis for this heterogeneity remains uncharacterized. We applied single-cell RNA sequencing and CosMx Spatial Molecular Imaging to human colon and found the highest diversity in cellular composition in the myeloid compartment of UC and CD patients. Besides resident macrophage subsets (M0 and M2), patients showed a variety of activated macrophages including classical (M1 CXCL5 and M1 ACOD1) and new inflammation-dependent alternative (IDA) macrophages. In addition, we captured intestinal neutrophils in three transcriptional states. Subepithelial IDA macrophages expressed NRG1, which promotes epithelial differentiation. In contrast, NRG1low IDA macrophages were expanded within the submucosa and in granulomas, in proximity to abundant inflammatory fibroblasts, which we suggest may promote macrophage activation. We conclude that macrophages sense and respond to unique tissue microenvironments, potentially contributing to patient-to-patient heterogeneity.

immunology↗

bioRxiv2022

A model of persistent post SARS-CoV-2 induced lung disease for target identification and testing of therapeutic strategies

COVID-19 survivors develop post-acute sequelae of SARS-CoV-2 (PASC), but the mechanistic basis of PASC-associated lung abnormalities suffers from a lack of longitudinal samples. Mouse-adapted SARS-CoV-2 MA10 produces an acute respiratory distress syndrome (ARDS) in mice similar to humans. To investigate PASC pathogenesis, studies of MA10-infected mice were extended from acute disease through clinical recovery. At 15-120 days post-virus clearance, histologic evaluation identified subpleural lesions containing collagen, proliferative fibroblasts, and chronic inflammation with tertiary lymphoid structures. Longitudinal spatial transcriptional profiling identified global reparative and fibrotic pathways dysregulated in diseased regions, similar to human COVID-19. Populations of alveolar intermediate cells, coupled with focal upregulation of pro-fibrotic markers, were identified in persistently diseased regions. Early intervention with antiviral EIDD-2801 reduced chronic disease, and early anti-fibrotic agent (nintedanib) intervention modified early disease severity. This murine model provides opportunities to identify pathways associated with persistent SARS-CoV-2 pulmonary disease and test countermeasures to ameliorate PASC.

microbiology↗

bioRxiv2019

Integrating Quality of Life and Survival Outcomes Cardiovascular Clinical Trials: Results from the PARTNER Trial

BackgroundSurvival and health status (e.g., symptoms and quality of life) are key outcomes in clinical trials of heart failure treatment. However, health status can only be recorded on survivors, potentially biasing treatment effect estimates when there is differential survival across treatment groups. Joint modeling of survival and health status can address this bias.\n\nMethods and ResultsWe analyzed patient-level data from the PARTNER 1B trial of transcatheter aortic valve replacement (TAVR) versus standard care. Health status was quantified with the Kansas City Cardiomyopathy Questionnaire (KCCQ) at randomization, 1, 6, and 12 months. We compared hazard ratios for survival and mean differences in KCCQ scores at 12 months using several models: the original growth curve model for KCCQ scores (ignoring death), separate Bayesian models for survival and KCCQ scores, and a Bayesian joint longitudinal-survival model fit to either 12 or 30 months of survival follow-up. The benefit of TAVR on 12-month KCCQ scores was greatest in the joint model fit to all survival data (mean difference = 33.7 points; 95% CrI: 24.2, 42.4), followed by the joint model fit to 12 months of survival follow-up (32.3 points; 95% CrI: 22.5, 41.5), a Bayesian model without integrating death (30.4 points; 95% CrI: 21.4, 39.3), and the original growth curve model (26.0 points; 95% CI: 18.7, 33.3). At 12 months, the survival benefit of TAVR was also greater in the joint model (hazard ratio = 0.50; 95% CrI: 0.32, 0.73) than in the non-joint Bayesian model (0.54; 95% CrI: 0.37, 0.75) or the original Kaplan-Meier estimate (0.55; 95% CI: 0.40, 0.74).\n\nConclusionsIn patients with severe symptomatic aortic stenosis and prohibitive surgical risk, the estimated benefits of TAVR on survival and health status compared with standard care were greater in joint Bayesian models than other approaches.

clinical trials↗

bioRxiv2017

Ift172 conditional knockout mice exhibit rapid retinal degeneration and protein trafficking defects

Intraflagellar transport (IFT) is a bidirectional transport process that occurs along primary cilia and specialized sensory cilia, such as photoreceptor outer-segments. Genes coding for various IFT components are associated with ciliopathies. Mutations in IFT172 lead to diseases ranging from isolated retinal degeneration to severe syndromic ciliopathies. In this study, we created a mouse model of IFT172-associated retinal degeneration to investigate the ocular disease mechanism. We found that depletion of IFT172 in rod photoreceptors leads to a rapid degeneration of the retina, with severely reduced electroretinography responses by one month and complete outer-nuclear layer degeneration by two months. We investigated molecular mechanisms of degeneration and show that IFT172 protein reduction leads to mislocalization of specific photoreceptor outer-segments proteins (RHO, RP1, IFT139), aberrant light-driven translocation of alpha transducin and altered localization of glioma-associated oncogene family member 1 (GLI1). This murine model recapitulates the retinal phenotype seen in patients with IFT172-associated blindness and can be used for in vivo testing of ciliopathy therapies.

genetics↗

bioRxiv2016

A computational method for the investigation of multistable systems and its application to genetic switches

Genetic switches exhibit multistability, form the basis of epigenetic memory, and are found in natural decision making systems, such as cell fate determination in developmental pathways. Synthetic genetic switches can be used for recording the presence of different environmental signals, for changing phenotype using synthetic inputs and as building blocks for higher-level sequential logic circuits. Understanding how multistable switches can be constructed and how they function within larger biological systems is therefore key to synthetic biology. Here we present a new computational tool, called StabilityFinder, that takes advantage of sequential Monte Carlo methods to identify regions of parameter space capable of producing multistable behaviour, while handling uncertainty in biochemical rate constants and initial conditions. The algorithm works by clustering trajectories in phase space, and iteratively minimizing a distance metric. Here we examine a collection of models of genetic switches, ranging from the deterministic Gardner toggle switch to stochastic models containing different positive feedback connections. We uncover the design principles behind making bistable, tristable and quadristable switches, and find that rate of gene expression is a key parameter. We demonstrate the ability of the framework to examine more complex systems and examine the design principles of a three gene switch. Our framework allows us to relax the assumptions that are often used in genetic switch models and we show that more complex abstractions are still capable of multistable behaviour. Our results suggest many ways in which genetic switches can be enhanced and offer designs for the construction of novel switches. Our analysis also highlights subtle changes in correlation of experimentally tunable parameters that can lead to bifurcations in deterministic and stochastic systems. Overall we demonstrate that StabilityFinder will be a valuable tool in the future design and construction of novel gene networks.

synthetic biology↗