Biology subjects

Mora, J.

Publications and source records attributed to Mora, J..

At least 19 recordsLinked to original sources

bioRxiv2026

MET inhibition exploits conserved regulatory dependencies in malignant rhabdoid tumors

Malignant rhabdoid tumors (MRTs) are lethal, yet genomically simple childhood cancers characterised by universal SWI/SNF dysregulation. Despite this shared molecular framework, the regulatory programs sustaining MRTs and how they wire actionable dependencies, remain poorly defined. Here, we integrated single-cell multi-omic profiling and spatial transcriptomics across anatomically and molecularly diverse MRTs, generating a comprehensive multimodal MRT dataset at single-cell resolution. We leveraged this resource to identify candidate tumor-specific dependencies, which were subsequently functionally validated in vitro and in vivo in matched patient-derived models. We found that distinct malignant subpopulations are spatially patterned in complex environmentally shaped topologies, consistent with reciprocal interactions with stromal and immune compartments contributing to intratumoral transcriptional diversity. We identified recurrent transcriptional metaprograms conserved across patients and molecular subtypes, including a previously undescribed shared core rhabdoid program, as well as a metaprogram characterized by extracellular matrix interactions, and preferentially localized in tumor-stroma intermixed neighborhoods, supporting identification of niche conditioning cues. Mechanistically, we identified regulatory wiring driving these metaprograms, with the core shared rhabdoid programme coordinated by a circuit centred on TCF12, ZNF148 and CHD2. Guided by target nominations from our integrated analyses, we performed a curated drug screen using patient-derived MRT models and validated HGF/MET signaling as a selective vulnerability in extrarenal rhabdoid tumors. Pharmacologic MET inhibition was cytotoxic in sensitive models and induced a complete response in vivo using a clinically approved compound. Importantly, MET expression in primary tumors correlated with response, supporting biomarker-guided patient stratification for immediate clinical translation. Collectively, our findings define the molecular architecture of MRTs, reveal conserved regulatory programs beyond anatomical and molecular subtypes, and highlight a targetable signaling axis with immediate translational potential, establishing a framework for precision therapy in this lethal pediatric malignancy.

cancer biology↗

bioRxiv2026

mRNA deep sequencing profiling and integrative miRNA-mRNA network analysis in pediatric Burkitt leukemia and lymphoma

Background: Although the genomic alterations in Burkitt leukemia and lymphoma (BL) have been extensively studied, data on genome-wide dysregulation of messenger RNA (mRNA) and microRNA (miRNA) in Burkitt leukemia (BuAL) and Burkitt lymphoma (BuLY) are scarce. The aim of this study was to analyze mRNA and miRNA expression profiles in pediatric BuAL/BuLY to identify dysregulated mRNA-miRNA networks. Methods: Total RNA from fresh tumor samples of 13 pediatric BL patients (BuAL n=7, BuLY n=6) and 4 pediatric normal control lymphoid tissue (NCLT) samples was included for mRNA-deep sequencing and miRNA-microarrays studies. Differential expression (DE) analysis of mRNAs and miRNAs as well as gene set and functional enrichment analysis were performed. The multiMiR R package was used to identify the validated target genes for the dysregulated miRNAs. miRNA-mRNA target interaction analysis was performed combining DE, validated targets observed among the inverse-significant miRNA-mRNA correlations, with evidence statistics retained (p[≤]-0.5 and Benjamini-Hochberg (BH) -adjusted correlation p-value< 0.05). Results: BL showed 1965 DE genes (DEG) compared to NCLT (1214 upregulated, 751 downregulated) (p-adj<0.05, log2FC>0.5) and 11 DE miRNAs (three upregulated and eight downregulated) (FC>1.5, p-adj<0.05). The transcriptional differences observed between BL and normal lymphoid tissue inferred by functional enrichment analysis identified along a MYC-driven proliferative backbone with strong E2F4 and MYB pathway activity, activation of the MAPK, PI3K and the G2/M checkpoint signaling pathways and repression of the JAK-STAT, NFkB, TP53, TRAIL and hypoxia pathways (p-adj<0.05). Functional enrichment analysis highlighted an upregulation of proliferative and metabolic pathways accompanied by an attenuated inflammatory and immunosurveillance signaling in BL compared to NCLT. Correlated miRNA-mRNA expression analysis identified DE dysregulated miRNAs and their validated target genes. DE downregulated miRNAs (hsa-miR-150-5p, hsa-miR-342-3p and hsa-miR-450-5p, among others) inversely correlated with upregulated mRNA targets showing pathway enrichment related to transcriptional activity and nuclear organization modules. mRNA targets of DE upregulated miRNAs (hsa-miR-106a-5p, hsa-miR-17-5p and hsa-miR-7-5p) were enriched in downregulated pathways related to immune response processes. Conclusions: Overall, this pilot study provides new insights on key proliferative, metabolic and cytokine-mediated immune signaling pathways in BL and highlights miRNA-mRNA networks influencing transcriptional activity and immune surveillance, paving the way for experimental validation models.

cancer biology↗

bioRxiv2026

RERE and the Mediator complex cooperate with EWSR1::FLI1 in the reprogramming of Translation and Alternative Splicing, the latter being a therapeutically targetable vulnerability in Ewing sarcoma

Ewing Sarcoma (ES) is an aggressive neoplasm arising in bones and soft tissues driven by the oncogenic fusion EWSR1::FLI1. Through epigenetic deregulation, EWSR1::FLI1 generates de novo super-enhancers that control the expression of key genes for tumor cell maintenance. By an integrative in silico analysis, we identified the subunit of the Mediator complex MED13L and RERE, a member of the atrophin family of arginine-glutamic acid dipeptide repeat-containing proteins, as genes regulated by EWSR1::FLI1-bound super-enhancers. We confirmed that EWSR1::FLI1 regulates MED13L and RERE expression in ES cell lines and showed that these proteins are highly expressed in Ewing primary tumors. Besides the well-established role of the Mediator complex in transcriptional regulation given its association with the RNA polymerase II, in ES cells the DNA binding sites of MED13L overlap with those of RERE and EWSR1::FLI1 in genes that control protein translation and alternative splicing (AS). Accordingly, the expression of various spliceosome components is co-regulated by MED13L, RERE and the oncogene, leading to AS in ES cells. We identified RBM39, a splicing factor downregulated after MED13L and RERE depletion, as a direct transcriptional target of EWSR1::FLI1. Consistently, in vitro viability experiments using indisulam, which induces selective DCAF15-dependent proteosome degradation of RBM39, demonstrate ES cells highly and specifically sensitive to RBM39 inhibition. In vivo experiments with mice xenografted with ES cells show complete tumor regression with indisulam, highlighting the potential of this approach as a novel and promising therapeutic strategy for Ewing sarcoma. STATEMENT OF SIGNIFICANCEEwing sarcoma (ES) is characterized by FET::ETS oncoproteins that act as pioneer transcription factors. Here, we identified two genes controlled by EWSR1::FLI1-bound super-enhancers, MED13L and RERE, and characterized the mechanism by which these proteins cooperate with the oncogene to regulate RNA metabolism and ribosomal processes in ES cells. These findings have led to the identification of the splicing factor RBM39 as a vulnerability in ES, as supported by the extraordinary sensitivity of these tumors to monotherapy with RBM39 degrader indisulam.

cancer biology↗

bioRxiv2026

Computationally guided design of a metastasis-on-a-chip platform for quantitative evaluation of chemotactic cues in developmental cancers

Metastatic dissemination is initiated by tumor cells interpreting spatially organized biochemical and biophysical cues that remain difficult to reproduce using conventional migration assays. Here, we developed a computationally guided metastasis-on-a-chip (MET-on-a-chip) platform based on the concept of the Minimally Functional Unit (MFU), in which only the biological components required to answer a defined experimental question are incorporated. The platform consists of two independent culture chambers connected through an array of confined microchannels that permits diffusion of soluble factors while constraining tumor cell migration. Rather than relying on empirical optimization, finite-element COMSOL simulations were first used to predict molecular transport, define growth factor loading conditions, identify biologically relevant exposure regions, and guide the rational design of the microfluidic assay. Computational predictions were experimentally validated using 70-kDa FITC-dextran diffusion and VEGF release studies, confirming the formation of stable spatial concentration gradients across the microfluidic platform. The simulations further demonstrated that both growth factor loading and cell positioning relative to the predicted gradients critically influenced assay performance, leading to the optimization of the platform through spatial reconfiguration of the tumor compartment. Using the optimized configuration, we compared the migratory responses of neuroblastoma, Ewing sarcoma, and osteosarcoma cells to vascular (VEGF-A165) and lymphatic (VEGF-C) chemotactic cues. VEGF-C significantly increased migration through the microchannel array in Ewing sarcoma and osteosarcoma cells, whereas VEGF-A165 produced no significant effect. In contrast, neuroblastoma cells exhibited minimal migration under either condition, revealing tumor-specific differences in responsiveness to VEGF signaling. Together, these findings establish a computationally guided workflow for the rational design of metastasis-on-a-chip assays, in which predictive modeling informs experimental design before biological validation. By substantially reducing empirical trial-and-error while enabling quantitative control over growth factor exposure, this strategy provides a robust framework for developing minimally functional microphysiological systems capable of dissecting individual steps of the metastatic cascade under experimentally defined conditions. Translational Impact StatementMetastatic dissemination remains one of the greatest clinical challenges in pediatric oncology, yet experimental models capable of quantitatively evaluating early migratory events remain limited. The computationally guided MET-on-a-Chip workflow presented here provides a human-relevant platform in which soluble microenvironmental cues can be systematically investigated under controlled and predictive conditions. Although demonstrated here using VEGF-A165 and VEGF-C, the platform can be readily adapted to study virtually any chemotactic factor, cytokine, extracellular vesicle population, or therapeutic candidate involved in metastatic dissemination. The modular MFU design allows biological complexity to be incorporated progressively as dictated by the scientific question, providing a flexible framework for future applications. In the longer term, this workflow could be combined with patient-derived tumor cells, organoids, or biopsy material to investigate patient-specific metastatic behavior and evaluate anti-metastatic therapeutic strategies in a personalized setting. Beyond identifying pro-migratory signaling pathways, the platform may serve as a preclinical tool to prioritize compounds capable of preventing tumor cell dissemination before evaluation in more complex animal models or clinical studies.

bioengineering↗

bioRxiv2026

The Drosophila FET orthologue Cabeza is an essential cofactor for ETV4-mediated activation of GGAA microsatellite neoenhancers

The conversion of transcriptionally silent GGAA microsatellites (GGAA{micro}Sats) into functional enhancers by FET::ETS oncogenic fusions is a hallmark of Ewing sarcoma. However, emerging evidence implicates non-fused, full-length oncogenic ETS transcription factors in activating these repeats in other malignancies. Evaluating the in vivo transcriptional requirements of various human ETS factors in Drosophila, we found that human ETV4 uniquely binds and robustly activates GGAA{micro}Sats in a tissue-specific manner. This activation is strongly inhibited by the human ETS repressor ETV6. Taking advantage of low genetic redundancy in Drosophila, we identified Cabeza (Caz), the single fly FET orthologue, as a necessary cofactor for ETV4-mediated transcription at GGAA{micro}Sats. Conversely, EWS::FLI1-mediated transcriptional activation of GGAA{micro}Sats is entirely independent of endogenous Caz, highlighting the distinct mechanics of covalent tethering versus non-covalent physical complexes. Collectively, our findings provide definitive in vivo evidence that non-fused ETS factors cooperate with endogenous FET proteins to drive transcription from silent GGAA repeats, mechanistically validating this regulatory transformation known to operate as an oncogenic mechanism beyond Ewing sarcoma.

genetics↗

bioRxiv2026

3D neuroblastoma models expose divergent responses to magnetic hyperthermia and photothermal therapy

PurposeHyperthermia is emerging as an adjunct strategy in pediatric oncology, yet its translation is limited by poor understanding of how different modalities impact complex tumor microenvironments. Neuroblastoma (NB), the most common extracranial solid tumor in children, displays profound heterogeneity that hampers therapeutic predictability. Here, we performed the first systematic head-to-head comparison of photothermal therapy (PTT) and magnetic hyperthermia (MH) in tissue-engineered NB (TE-NB) models. MethodsTE-NB scaffolds incorporating five NB cell lines were loaded with magnetic nanoparticles (MNPs) and subjected to PTT (808-nm laser, 130 W/cm2, 10 min) or MH (285 kHz, 20 mT, 60 min). Constructs were analyzed at 24 h, 48 h, and 5 d post-treatment for DNA content, cell viability, proliferation (Ki67 immunohistochemistry), and apoptosis (caspase-3/7 staining). ResultsMH produced consistent MNP-dependent heating with minimal background, while PTT was dominated by nonspecific medium absorption. Both modalities modulated proliferation within 24 h, but effects varied sharply by cell line and scaffold region, reflecting microenvironmental heterogeneity. By 48 h, PTT often triggered paradoxical increases in proliferation, whereas MH disrupted scaffold integrity, reduced DNA content, and suppressed Ki67 expression. Notably, neither modality induced sustained caspase-3/7 activation, indicating that cytotoxicity proceeds via non-apoptotic pathways. ConclusionOur findings position MH as a superior modality for uniform heating and proliferation control in 3D NB models, but also highlight that hyperthermia should be considered a context-dependent modulator rather than a binary cytotoxic agent. By integrating patient-specific TE-NB platforms, "precision hyperthermia" could define individualized therapeutic windows, optimize combinations with pro-apoptotic or immunomodulatory agents, and accelerate translation of hyperthermia strategies for children with NB.

bioengineering↗

bioRxiv2026

USP7 sustains PAX3::FOXO1 enhancer reprogramming and represents a therapeutic vulnerability in Rhabdomyosarcoma

Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children and is often associated with dismal outcomes, underscoring the urgent need for new therapeutic strategies. RMS arises from embryonic skeletal muscle precursor cells that fail to complete the myogenic differentiation program. Fusion-positive rhabdomyosarcoma (FP-RMS), defined by the presence of recurrent gene fusions such as PAX3::FOXO1 or PAX7::FOXO1, is associated with the poorest overall survival. The encoded fusion oncoprotein cause epigenetic reprogramming that defines the biology and behavior of FP-RMS. Polycomb repressive complex 1 (PRC1)-mediated chromatin regulation contributes to the control of developmental gene programs. Here, we investigate the dependency of RMS on epigenetic remodeling mediated by the PRC1.1 subunits ubiquitin specific protease 7 (USP7) and really interesting new gene 1B (RING1B). We found that USP7 is overexpressed in RMS samples, and that high expression correlates with poor patient prognosis. USP7 and RING1B bind to H3K27ac-enriched regions and colocalize with PAX3::FOXO1 at active enhancers controlling key tumorigenic genes in FP-RMS. Moreover, both shRNA-mediated depletion and pharmacological inhibition of USP7 downregulate PAX3::FOXO1 enhancer-driven genes, induce skeletal muscle differentiation and significantly inhibit FP-RMS tumor growth in vivo. Altogether, our findings identify USP7 as a critical regulator of PAX3::FOXO1-bound enhancers and highlight a novel therapeutic opportunity in RMS based on epigenetic dependencies.

cancer biology↗

bioRxiv2026

VesSynth: Tubes Are All You Need for Robust Cross-Scale Cross-Modal 3D Vessel Segmentation

The cerebral vasculature is central to brain function, with alterations linked to numerous cerebrovascular and neurological disorders. Yet, no single imaging modality can capture the entire cerebral vascular network in humans. Instead, an array of techniques are sensitized to different spatial scales, while trading off resolution for coverage. Magnetic Resonance Imaging (MRI) typically resolves only large pial vessels, while high-resolution microscopy allows micrometer-scale vessels to be mapped over limited spatial extents. These techniques must therefore be combined to obtain a complete mapping of the cerebral angioarchitecture, which underscores the need for automatic, cross-modal vessel segmentation. Here, we introduce VesSynth, a flexible vessel segmentation framework that achieves state-of-the-art accuracy across multiple modalities and spatial resolutions (MR, optical and X-ray imaging), despite being trained entirely on synthetic data. By enabling consistent vascular mapping across scales, this framework paves the way to comprehensive investigation of cerebrovascular organization and its role in health and disease.

bioengineering↗

bioRxiv2025

Integrative multi-omics reveals PARP14 as a key IFNγ-regulated mediator of metastatic progression in Ewing sarcoma.

Metastatic Ewing sarcoma (EwS) remains a major clinical challenge, highlighting the need to identify molecular drivers of disease dissemination. Through integrated transcriptomic, functional, and mechanistic analyses, we identify PARP14 as a key regulator of EwS metastatic progression. PARP14 is consistently upregulated in metastatic lesions across spontaneous and xenograft mouse models as well as in patient samples. Genetic and pharmacologic depletion of PARP14 (via siRNA knockdown, CRISPR-Cas9 knockout, or PROTAC-mediated degradation) significantly impaired EwS cell migration and invasion in vitro, without affecting proliferation or clonogenic capacity. In vivo, PARP14 loss delayed tumor growth and reduced metastatic burden, supporting a functional role in disease progression. Conversely, IFN{gamma}-induced PARP14 upregulation and stable overexpression enhanced EwS cell migration and increased lung metastasis formation. Transcriptomic profiling of PARP14-deficient cells revealed downregulation of invasive signatures and enrichment of inflammatory and p53-related pathways, together with gene sets associated with chromatin remodeling. Subcellular fractionation and interactome analyses showed that PARP14 localizes to cytoplasmic, nuclear, and chromatin-associated compartments, and interacts with chromatin, cytoskeletal and ECM regulators. ChlP analyses further demonstrated PARP14 binding to promoters enriched for NRF1 motifs, suggesting a role as a transcriptional co-regulator influencing gene networks relevant to EwS progression. Together, our results establish PARP14 as a contributor to EwS dissemination and uncover a previously unappreciated chromatin-associated role for this protein, supporting its potential as both a biomarker and therapeutic target in metastatic EwS. STATEMENT OF SIGNIFICANCEWe identify PARP14 as a novel driver of Ewing sarcoma metastasis through integrated multi-omics profiling. Genetic and pharmacological interrogation establishes PARP14 as a promising therapeutic target for this understudied malignancy.

cancer biology↗

bioRxiv2025

Human Oncogene EWS::FLI1 Functions as a Pioneer Factor in Saccharomyces cerevisiae.

Ewing sarcoma (EwS) is an aggressive, human-exclusive tumor typically driven by the EWS::FLI1 fusion protein. To assess whether the neomorphic functions of EWS::FLI1 are fundamentally dependent on evolutionarily recent cofactors such as ETS transcription factors (ETS-TFs), Plycomb group (PcG) proteins, CBP/p300, or specific subunits of the BAF complex, we expressed EWS::FLI1 in the model organism Saccharomyces cerevisiae. This minimal system was chosen because several key EWS::FLI1s cofactors possess greatly reduced sequence homology (e.g., BAF) or are lacking altogether (e.g., ETS-TFs, PcG, or CBP/p300). We used co-IP/MS to map the yeast interactome, Chip-Seq to identify gDNA binding sequences, RNA-Seq for global gene expression, and engineered reporters to test conversion of (GGAA) tandem repeats (GGAASat) into neoenhancers. We found that the yeast EWS::FLI1 interactome was more limited and qualitatively distinct from its human counterpart, sharing core machinery (e.g. RNA Polymerase II, FACT) but lacking the BAF/SWI-SNF and spliceosome complexes, and showing strong enrichment for the SAGA chromatin remodeling complex. We also found that EWS::FLI1 binds to hundreds of sites in the yeast genome with a clear preference for putative ETS-TF consensus sequences and (CA) dinucleotide repeats. Yet, EWS::FLI1 expressing cells presented only minimal transcriptional dysregulation, a stark contrast to the extensive changes observed in humans and Drosophila cells. Finally, we found that EWS::FLI1 successfully converted silent GGAASat sequences into active enhancers in yeast. This remarkable result occurs despite the absence of homologs for key human activators, such as CBP/p300, strongly suggesting that EWS::FLI1 can mobilize functionally related, non-homologous pathways to establish neoenhancers at GGAASat sites. Altogether, our results indicate that EWS::FLI1s core ability to drive GGAASat-dependent gene expression is a conserved, ancient property, while GGAASat-independent extensive transcriptome reprogramming is dependent on co-factors and pathways specific to animal cells.

cancer biology↗

bioRxiv2025

Structural Connectome Analysis using a Graph-based Deep Model for Age and Dementia Prediction

We address the prediction of non-imaging variables based on structural brain connectivity derived from diffusion magnetic resonance images, using graph-based machine learning. We predict age and the mini-mental state examination (MMSE) score as examples of a demographic and a clinical variable. We propose a machine-learning model inspired by graph convolutional networks (GCNs), which takes a brain connectivity graph as input and processes the data separately through a parallel GCN mechanism with multiple branches. The novelty of our work lies in the model architecture, especially the Connectivity Attention Block, which learns an embedding representation of brain graphs while providing graph-level attention. We show experiments on publicly available datasets of PREVENT-AD and OASIS3. We validate our model by comparing it to existing methods and via ablations. This quantifies the degree to which the connectome varies depending on the task, which is important for improving our understanding of health and disease across the population. The proposed model generally demonstrates higher performance especially for age prediction compared to the existing machine-learning algorithms we tested, including classical methods and (graph and non-graph) deep learning.

bioinformatics↗

bioRxiv2025

EWS-FLI1 Expression in Human Embryonic MSCs Leads to Transcriptional Reprograming, Defective DNA Damage Repair and Ewing Sarcoma

Ewing sarcoma (ES) is an aggressive bone and soft tissue neoplasm characterized by EWSR1/ETS rearrangements and whose cellular origin remains unclear. EWS-FLI1 expression in human pediatric mesenchymal stem cells (hpMSCs) induces a quantitatively and qualitatively different transcriptional response than its expression in human adult MSCs (haMSCs), but fails to form tumors in vivo. ES cells have early developmental lineage signatures distinct from postnatal MSCs. Here, we have generated MSCs from experimental teratomas out of human embryonic stem cells (heSCs). Transduction of these human embryonic mesenchymal stem cells (heMSCs) with EWS-FLI1 results in the acquisition of an ES transcriptome, although the oncogene does not preferentially bind to promoters, but to intronic and intergenic microsatellites with >10 CA dinucleotides and GGAA repeats, respectively. In heMSCs, EWS-FLI1 directly regulates BRCA1 expression, although EWS-FLI1-expressing cells show defects in DNA damage repair. Xenografting of EWS-FLI1-transduced heMSCs resulted in the formation of tumors expressing characteristic ES markers. In summary, EWS-FLI1 enforces an aberrant transcriptome and endows in vivo transforming capacity when expressed in an undifferentiated early heMSC. Our approach represents an innovative experimental method for understanding critical aspects of the biology of developmental tumors, from leukemia to sarcomas, in which few (even single) genetic alterations are able to transform a fetal stem cell.

cancer biology↗

bioRxiv2024

Sex-specific DNA methylation differences in Amyotrophic lateral sclerosis

Sex is an important covariate in all genetic and epigenetic research due to its role in the incidence, progression and outcome of many phenotypic characteristics and human diseases. Amyotrophic lateral sclerosis (ALS) is a motor neuron disease with a sex bias towards higher incidence in males. Here, we report for the first time a blood-based epigenome-wide association study meta-analysis in 9274 individuals after stringent quality control (5529 males and 3975 females). We identified a total of 226 ALS saDMPs (sex-associated DMPs) annotated to a total of 159 unique genes. These ALS saDMPs were depleted at transposable elements yet significantly enriched at enhancers and slightly enriched at 3UTRs. These ALS saDMPs were enriched for transcription factor motifs such as ESR1 and REST. Moreover, we identified an additional 10 genes associated with ALS saDMPs through chromatin loop interactions, suggesting a potential regulatory role for these saDMPs on distant genes. Furthermore, we investigated the relationship between DNA methylation at specific CpG sites and overall survival in ALS using Cox proportional hazards models. We identified two ALS saDMPs, cg14380013 and cg06729676, that showed significant associations with survival. Overall, our study reports a reliable catalogue of sex-associated ALS saDMPs in ALS and elucidates several characteristics of these sites using a large-scale dataset. This resource will benefit future studies aiming to investigate the role of sex in the incidence, progression and risk for ALS.

genomics↗

bioRxiv2024

Spatio-temporal T cell tracking for personalized TCR-T designs in childhood cancer

Immune checkpoint inhibition (ICI) has revolutionized oncology, offering extended survival and long-term remission in previously incurable cancers. While highly effective in tumors with high mutational burden, lowly mutated cancers, including pediatric malignancies, present low response rate and limited predictive biomarkers. Here, we present a framework for the identification and validation of tumor-reactive T cells as a biomarker to quantify ICI efficacy and as candidates for a personalized TCR-T cell therapy. Therefore, we profiled a pediatric malignant rhabdoid tumor patient with complete remission after ICI therapy using deep single-cell T cell receptor (TCR) repertoire sequencing of the tumor microenvironment (TME) and the peripheral blood. Specifically, we tracked T cell dynamics longitudinally from the tumor to cells in circulating over a time course of 12 months, revealing a systemic response and durable clonal expansion of tumor-resident and ICI-induced TCR clonotypes. We functionally validated tumor reactivity of TCRs identified from the TME and the blood by co-culturing patient-derived tumor cells with TCR-engineered autologous T cells. Here, we observed unexpectedly high frequencies of tumor-reactive TCR clonotypes in the TME and confirmed T cell dynamics in the blood post-ICI to predict tumor-reactivity. These findings strongly support spatio-temporal tracking of T cell activity in response to ICI to inform therapy efficacy and to serve as a source of tumor-reactive TCRs for personalized TCR-T designs.

genomics↗

bioRxiv2024

Automatic Geometry-based Estimation of the Locus Coeruleus Region on T1-Weighted Magnetic Resonance Images

The locus coeruleus (LC) is a key brain structure implicated in cognitive function and neurodegenerative disease. Automatic segmentation of the LC is a crucial step in quantitative non-invasive analysis of the LC in large MRI cohorts. Most publicly available imaging databases for training automatic LC segmentation models take advantage of specialized contrast-enhancing (e.g., neuromelanin-sensitive) MRI. Segmentation models developed with such image contrasts, however, are not readily applicable to existing datasets with conventional MRI sequences. In this work, we evaluate the feasibility of using non-contrast neuroanatomical information to geometrically approximate the LC region from standard 3-Tesla T1-weighted images of 20 subjects from the Human Connectome Project (HCP). We employ this dataset to train and internally/externally evaluate two automatic localization methods, the Expected Label Value and the U-Net. We also test the hypothesis that using the phase image as input can improve the robustness of out-of-sample segmentation. We then apply our trained models to a larger subset of HCP, while exploratorily correlating LC imaging variables and structural connectivity with demographic and clinical data. This report contributes and provides an evaluation of two computational methods estimating neural structure.

neuroscience↗

bioRxiv2023

Segmentation of supragranular and infragranular layers in ultra-high resolution 7T ex vivo MRI of the human cerebral cortex

Accurate labeling of specific layers in the human cerebral cortex is crucial for advancing our understanding of neurodevelopmental and neurodegenerative disorders. Lever-aging recent advancements in ultra-high resolution ex vivo MRI, we present a novel semi-supervised segmentation model capable of identifying supragranular and infragranular layers in ex vivo MRI with unprecedented precision. On a dataset consisting of 17 whole-hemisphere ex vivo scans at 120 {micro}m, we propose a multi-resolution U-Nets framework (MUS) that integrates global and local structural information, achieving reliable segmentation maps of the entire hemisphere, with Dice scores over 0.8 for supra- and infragranular layers. This enables surface modeling, atlas construction, anomaly detection in disease states, and cross-modality validation, while also paving the way for finer layer segmentation. Our approach offers a powerful tool for comprehensive neuroanatomical investigations and holds promise for advancing our mechanistic understanding of progression of neurodegenerative diseases.

neuroscience↗

bioRxiv2023

Exploratory Correlation of The Human Structural Connectome with Non-MRI Variables

INTRODUCTIONDiscovery of the associations between brain structural connectivity and clinical and demographic variables can help to better understand the vulnerability and resilience of the brain architecture to neurodegenerative diseases and to discover biomarkers. METHODSWe used four diffusion-MRI databases, three related to Alzheimers disease, to exploratorily correlate structural connections between 85 brain regions with non-MRI variables, while stringently correcting the significance values for multiple testing and ruling out spurious correlations via careful visual inspection. We repeated the analysis with brain connectivity augmented with multi-synaptic neural pathways. RESULTSWe found 85 and 101 significant relationships with direct and augmented connectivity, respectively, which were generally stronger for the latter. Age was consistently linked to decreased connectivity, and healthier clinical scores were generally linked to increased connectivity. DISCUSSIONOur findings help to elucidate which structural brain networks are affected in Alzheimers disease and aging and highlight the importance of including indirect connections.

neuroscience↗

bioRxiv2023

KDM6 demethylases mediate EWSR1-FLI1-driven oncogenic transformation in Ewing Sarcoma

Ewing Sarcoma (EwS) is an aggressive bone and soft tissue tumor driven by the fusion oncoprotein EWSR1-FLI1. This aberrant transcription factor binds to GGAA microsatellites, causing epigenetic reprogramming through the formation of active neo-enhancers in a permissive cellular context. Inhibition of the oncogene remains challenging and current efforts instead seek to exploit emergent epigenetic treatments targeting EWSR1-FLI1 cofactors. Here, stemming from the genome-wide redistribution of H3K27me3 upon expression of EWSR1-FLI1 in pediatric hMSC, we unravel the contribution of the H3K27me3 demethylases KDM6A and KDM6B in transcriptional activation at EWSR1-FLI1 enhancers. We found that KDM6A has a demethylase-independent role in recruiting the SWI/SNF member BRG1 at EWSR1-FLI1-primed enhancers containing single GGAA motif, which is critical for EwS tumor growth. Conversely, KDM6B demethylates H3K27me3 at EWSR1-FLI1-active enhancers containing multimeric GGAA repeats and its deletion synergizes with EZH2 inhibitors. Our results highlight KDM6 demethylases as EWSR1-FLI1 cofactors with potential for future targeted therapies.

cancer biology↗