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Rios, A. C.

Publications and source records attributed to Rios, A. C..

8 recordsLinked to original sources

BEHAV3D-Explorer enables natural language-assisted profiling of 3D cellular dynamics

Obtaining quantitative measurements from live 3D microscopy remains difficult to implement across research settings, particularly without profound image-analysis expertise. We present BEHAV3D-Explorer, an interactive, user-friendly platform that uses natural-language guidance to help users select analysis strategies, tune parameters and configure workflows. BEHAV3D-Explorer enables time-resolved behavioral classification and integrates it with morphological, interaction and functional analyses, thereby connecting dynamic readouts to yield interpretable results across imaging applications.

bioinformatics↗

Regional specificity of neuronal cell types, functional connectivity, and cell type-specific correlation to brain disorders in the human ventral tegmental area

The ventral tegmental area (VTA) in the midbrain is a key reward system hub associated with multiple brain disorders. While rodent studies reveal a diverse neuronal population and distinct connectivity patterns, the architecture of the human VTA remains poorly understood. Here, we generated a transcriptomic reference atlas of the adult human VTA with subregional resolution. We identify multiple neuronal cell types defined by differential transcription factor expression, as well as regionally enriched GABAergic cell types. Functional connectivity analysis with fMRI suggests that this spatial organization corresponds to distinct connectivity profiles. Integration with other human midbrain single-nucleus RNA-seq datasets reveals a VTA-specific combinatorial GABA-dopaminergic cell type and regional differences among dopaminergic neurons. Finally, we find multiple associations between neuronal cell types and genetic risk for psychiatric disorders and body mass index. Altogether, this study provides a foundation for mechanistic and therapeutic studies into VTA-related diseases.

neuroscience↗

Cancer-myeloid cell invasive program in pediatric-type diffuse high-grade glioma

Pediatric-type diffuse high-grade gliomas (pHGGs) are aggressive, heterogeneous brain tumors shaped by intricate cancer-microenvironment cell-cell interactions. Here, we present an integrative multimodal pHGGmap, encompassing over 800,000 cells from 136 patients profiled across transcriptomic, epigenomic, and spatial modalities. Its analysis delineated robust cancer-myeloid cell programs that structured the tumor ecosystem and identified ten distinct cancer cell states, including previously unrecognized developmental and context-responsive programs. Among these, radial glial-like (RG-like) cells exhibited dual stress-adapted and infiltrative phenotypes. Tumor-associated monocyte-derived macrophages and resident microglia engaged in four distinct immunomodulatory programs aligned with specific cancer states. Three conserved multicellular communities were maintained across treatment, including a stable, spatially and transcriptionally linked RG-like/complement-macrophage niche, indicative of cellular co-option and adaptation to support invasion. Longitudinal profiling of a metastatic diffuse midline glioma case showed that RG-like cells predominate during dissemination and remain associated with complement-enriched macrophages, whose reprogramming restores immune activation. pHGGmap establishes a landmark resource for translational discovery. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/701142v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@7ae699org.highwire.dtl.DTLVardef@b95b92org.highwire.dtl.DTLVardef@12adcf9org.highwire.dtl.DTLVardef@1118703_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

De novo H3.3K27M-altered Diffuse Midline Glioma in human brainstem organoids to dissect GD2 CAR T cell function

Diffuse midline glioma (DMG) is a rare yet highly aggressive paediatric cancer primarily arising in the pontine region of the brainstem, necessitating the development of scalable patient-representative models for treatment advance1,2. Here, we developed an FGF4-driven human brainstem organoid model, with high representation of pontine glial lineages. By genetically engineering de novo H3.3K27M-altered DMG, we show that this brainstem glial specification is essential for driving DMG tumorigenesis, resulting in tumours that recapitulate the infiltrative nature and molecular heterogeneity of patient samples. By performing prolonged GD2 CAR T cell treatment in this model, we could mirror variable treatment outcomes as observed in the clinic3,4 and demonstrate a high level of CAR T cell transcriptional heterogeneity. From these CAR T cell functional states, we could identify the most potent effector population and validated NCAM1 as a selection marker for their enrichment. In contrast, NCAM1- cells were linked to a cellular stress response, previously associated to immunotherapy resistance5. Furthermore, incorporating the brain-resident myeloid compartment resulted in DMG-specific, largely immunosuppressive microglia subtypes6. These disease-representative microglia reduced GD2 CAR T cell treatment efficacy and we identified the functional profiles most susceptible to this microglia-dependent immune modulation. Thus, we present a scalable human DMG model with critical applications towards understanding CAR T cell functionality to aid therapy development for this detrimental disease.

cancer biology↗

Identification of TREK channels in mouse intracardiac ganglion neurons

The intracardiac nervous system is a complex neural network formed by a diffuse plexus, the so-called intracardiac ganglion (ICG). These ganglia locally innervate and control heart function, but little is known about how ICG neuronal activity is regulated. While various ionic currents have been characterized in cardiac tissue, the expression and role of TREK channels in ICG neurons remain unexplored. TWIK-related K+ (TREK) channels, members of the two-pore domain potassium channel family, are essential regulators of neuronal membrane resting potential and excitability, with recognized neuroprotective functions. In this study, we have characterized different ionic currents present in mouse ICG neurons, including tetrodotoxin-sensitive Na currents, delayed K+ rectifiers, Ca+2-dependent K currents and A, H and M currents. Notably, we provide the first evidence of functional TREK channel expression in these neurons. Our findings suggest that TREK channels contribute to excitability control and cellular homeostasis in ICG neurons, underscoring their potential as therapeutic targets for cardiac disorders. KEY POINTS- This study provides the first evidence of functional TREK channel expression in ICG neurons. - Comprehensive profiling of ionic currents shaping excitability in ICG neurons. - Neuroprotective TREK channels might emerge as potential therapeutic targets for cardiac disorders.

neuroscience↗

Single-cell spatial analysis of pediatric high-grade glioma reveals a novel population of SPP1+/GPNMB+ myeloid cells with immunosuppressive and tumor-promoting capabilities

BackgroundPediatric-type diffuse high-grade gliomas (pHGG) are a leading cause of pediatric cancer-related mortality. Although immunotherapy offers a promising treatment avenue, clinical responses in pHGG patients remain limited. A detailed understanding of the tumor immune microenvironment (TIME) is essential for advancing immunotherapeutic strategies. MethodsWe performed single-cell spatial analysis integrating cyclical immunofluorescence imaging and Spatial Molecular Imaging to interrogate the proteomic and transcriptomic landscape of pHGG. A tissue microarray comprising 32 diagnostic patient-derived pHGG samples was utilized to map the spatial distribution of immune and tumor cells. ResultsOur analyses reveal that the pHGG TIME is predominantly composed of myeloid cells, including brain-resident microglia and monocyte-derived macrophages, with only few T cells. A significant subset of these myeloid cells express mesenchymal-like genes and are positive for SPP1 and GPNMB. Spatial mapping further demonstrated that SPP1+/GPNMB+ myeloid cells localize in close proximity to mesenchymal-like tumor cells, and negatively correlate with the location and presence of CD8+ T cells. These cells also express genes related to immunosuppression and epithelial-to-mesenchymal transition, indicating their potential role in establishing an immunosuppressive niche. ConclusionsOur findings reveal a distinct immune landscape in pHGG characterized by SPP1+/GPNMB+ myeloid cells which may contribute to the exclusion of CD8+ T cells. This spatially resolved insight identifies these myeloid cells as promising therapeutic targets and provides a rationale for developing novel immunotherapeutic strategies to improve outcomes in pediatric high-grade gliomas.

cancer biology↗

Functional avidity of anti-B7H3 CAR-T constructs predicts antigen density thresholds for triggering effector function

Chimeric Antigen receptor T cell (CAR-T) treatments for solid cancers have been compromised by limited expansion and survival in the tumor microenvironment following interaction with antigen-expressing target cells. Using B7H3 as a model antigen with broad clinical applicability, we evaluated the relationship between the antibody/antigen affinity of three clinical candidate binders and the three following functional characteristics: functional avidity, prolonged cytotoxicity in tumoroid re-stimulation assays, and in vivo anti-tumoral responses. BEHAV3D video-microscopy assessed distinct CAR-T cell behaviors at single cell resolution. T cell exhaustion did not dictate effector function. Rather, we demonstrated a threshold avidity of CAR-T / tumor cell interaction, characterized by longer cumulative CD8+ CAR-T / tumor target interaction times, and required for adequate CAR-T cell expansion to result in sustained tumor control upon re-challenge. These results provide new insights into design of CAR-T cells for antigen-dim cell targeting, and avoidance of antigen-dim tumor relapse.

bioengineering↗

Behavioral-transcriptomic landscape of engineered T cells targeting human cancer organoids

Cellular immunotherapies are rapidly gaining clinical importance, yet predictive platforms for modeling their mode of action are lacking. Here, we developed a dynamic immuno-organoid 3D imaging-transcriptomics platform; BEHAV3D, to unravel the behavioral and underlying molecular mechanisms of solid tumor targeting. Applied to an emerging cancer metabolome-sensing immunotherapy: TEGs, we first demonstrate targeting of multiple breast cancer subtypes. Live-tracking of over 120,000 TEGs revealed a diverse behavioral landscape and identified a super engager cluster with serial killing capability. Inference of single-cell behavior with transcriptomics identified the gene signature of super engager killer TEGs, which contained 27 genes with no previously described T cell function. Furthermore, guided by a dynamic type 1 interferon (IFN-I) signaling module induced by high TEG-sensitive organoids, we show that IFN-I can prime resistant organoids for TEG-mediated killing. Thus, BEHAV3D characterizes behavioral-phenotypic heterogeneity of cellular immunotherapies and holds promise for improving solid tumor-targeting in a patient-specific manner.

cancer biology↗