Biology subjects

Resnick, A.

Publications and source records attributed to Resnick, A..

8 recordsLinked to original sources

bioRxiv2026

Single-cell multi-omic analyses resolve the cellular diversity of ALK/ROS1/MET/NTRK-fused gliomas in infants and older children

Pediatric cancers are thought to arise from dysregulation of developmental programs, otherwise tightly regulated in time and space. Infant-type hemispheric gliomas (IHGs) arise in early childhood, driven by characteristic ALK/ROS1/MET/NTRK receptor tyrosine kinase (RTK) gene fusions. We dissected the cellular hierarchies of 24 fusion-positive gliomas, spanning infants through adolescents, using single-cell and single-nucleus RNA/ATAC-seq, and spatial transcriptomics. We identified five cancer cell states, with radial glia-like cells at the apex of a neoplastic hierarchy resembling neuronal- and glial-like trajectories. Neuronal-like cells were enriched in most IHGs but diminished in ROS1-fused IHGs and older patients. Integration of chromatin profiling revealed FOS/JUN-driven oncogenic programs and high inferred plasticity across all cancer cell populations. Myeloid cells, the most abundant non-neoplastic population, comprised distinct subgroups, suggesting context-dependent functions. Despite lacking high-order structure, spatial transcriptomics revealed discrete cellular niches within IHGs. Collectively, our findings elucidate the cellular states and developmental programs underlying IHGs and RTK-fused gliomas in older patients, opening new avenues for research and therapy innovation.

cancer biology↗

bioRxiv2026

Oncogene-driven metabolic regulation of Dihydroceramide Desaturase 1 (DES1) converges on GAPDH in matrix-detached conditions

Deregulation of sphingolipid (SL) metabolism is well-established across many cancers, yet the underlying mechanisms that drive changes in SLs are poorly understood. We previously identified dihydroceramide desaturase 1 (DES1) as a downstream target of HER2 and implicated DES1 as a driver of anchorage-independent survival in breast cancer. In this study, we expand on these results to establish the oncogenic PI3K pathway as a driver of post-translational DES1 activity following cell detachment from the extracellular matrix. PI3K activation of DES1 required glucose uptake and metabolism through both glycolysis and the pentose phosphate pathway. However, it did not require glucose flux into the TCA cycle and was independent of antioxidant capacity of the cell. Moreover, Instead, results identify GAPDH - a point of convergence between glycolysis and PPP - as important for oncogene-driven DES1 activity. Overall, this study defines a novel pathway of DES1 regulation and establishes DES1 as a point of crosstalk between glucose and SL metabolic pathways.

Cancer Biology↗

bioRxiv2026

In vitro modeling of nutritional and mitochondria-targeted therapies for osteosarcoma

Osteosarcoma is the most common pediatric bone tumor yet has limited treatment options, especially for metastatic cases with a 20% adjusted 5-year survival rate. Current therapies are non-specific, involving primary tumor resection with DNA-damaging chemotherapies like methotrexate, doxorubicin, and cisplatin. Few effective treatment options exist for metastases. Targeting metabolism involving cancers reduced mitochondrial functionality remains underexplored in osteosarcoma. We investigated the therapeutic potential in human osteosarcoma primary and metastatic cell lines of metabolic modulating drugs including metformin, cycloheximide, mitochondrial ETC inhibitors (antimycin A, metformin), dichloroacetate, and imipridones (ONC201, ONC206) on mitochondrial function and cell viability, individually and combined under various nutrient conditions across our lines. Results confirmed osteosarcoma cells are more dependent on glucose than osteoblasts but also require mitochondrial function for survival, highlighting the therapeutic potential of metabolic pathways. Osteosarcoma cell viability was reduced when any metabolic drug treatment was combined with conditions forcing reliance on mitochondrial OXPHOS capacity. Combination metabolic therapies, particularly ONC201/ONC206/metformin in 143B cells, and to a lesser extent DCA and ONC201 with either ONC206 or antimycin A, showed enhanced cytotoxicity compared to single agents, with a good therapeutic index based on minimal toxicity to normal osteoblast cells. The degree of effectiveness varied across cell lines, underscoring the importance of personalized treatment strategies. RNA-Seq transcriptome analysis revealed that effective nutrient and metabolic drug treatments triggered widespread regulatory changes in osteosarcoma cells involving increased translation/splicing with decreased mitochondrial processes such as cholesterol biosynthesis. These results demonstrate the utility of developing combined metabolic and chemotherapeutic treatments for osteosarcoma.

cancer biology↗

bioRxiv2025

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data

The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar. The DDKG uses a property graph architecture based on the UBKG infrastructure and supports ontology-based ingestion, identifier normalization, and graph-native querying. The system is modular and can be extended with new datasets or schema modules. We demonstrate its utility for informatics queries across eight use cases, including regulatory variant analysis, tissue-specific expression, biomarker discovery, and cross-species variant prioritization. The DDKG is accessible via a public interface, a programmatic API, and downloadable builds for local use.

bioinformatics↗

bioRxiv2025

Machine learning-predicted chromatin organization landscape across pediatric tumors

Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis through their effects on 3D genome folding. Recent advances in whole-genome sequencing have enabled large-scale profiling of SVs across diverse tumors, yet experimental characterization of their individual impact on genome folding remains infeasible. Here, we leveraged a convolutional neural network, Akita, to predict disruptions in genome folding caused by somatic SVs identified in 61 tumor types from the Childrens Brain Tumor Network dataset. Our analysis reveals significant variability in SV-induced disruptions across tumor types, with the most disruptive SVs coming from lymphomas and sarcomas, metastatic tumors, and germline cell tumors. Dimensionality reduction of disruption scores identified five recurrently disrupted regions enriched for high-impact SVs across multiple tumors. Some of these regions are highly disrupted despite not being highly mutated, and harbor tumor-associated genes and transcriptional regulators. To further interpret the functional relevance of high-scoring SVs, we integrated epigenetic data and developed a modified Activity-by-Contact scoring approach to prioritize SVs with disrupted genome contacts at active enhancers. This method highlighted highly disruptive SVs near key oncogenes, as well as novel candidate loci potentially implicated in tumorigenesis. These findings highlight the utility of machine learning for identifying novel SVs, loci, and genetic mechanisms contributing to pediatric cancers. This framework provides a foundation for future studies linking SV-driven regulatory changes to cancer pathogenesis.

genomics↗

bioRxiv2023

Microstructure-Based Modeling of Primary Cilia Mechanics

A primary cilium, made of nine microtubule doublets enclosed in a cilium membrane, is a mechanosensing organelle that bends under an external mechanical load and sends an intracellular signal through transmembrane proteins activated by cilium bending. The nine microtubule doublets are the main load-bearing structural component, while the transmembrane proteins on the cilium membrane are the main sensing component. No distinction was made between these two components in all existing models, where the stress calculated from the structural component (nine microtubule doublets) was used to explain the sensing location, which may be totally misleading. For the first time, we developed a microstructure-based primary cilium model by considering these two components separately. First, we refined the analytical solution of bending an orthotropic cylindrical shell for individual microtubule, and obtained excellent agreement between finite element simulations and the theoretical predictions of a microtubule bending as a validation of the structural component in the model. Second, by integrating the cilium membrane with nine microtubule doublets, we found that the microtubule doublets may twist significantly as the whole cilium bends. Third, besides being cilium-length-dependent, we found the mechanical properties of the cilium are also highly deformation-dependent. More important, we found that the cilium membrane near the base is not under pure in-plane tension or compression as previously thought, but has significant local bending stress. This challenges the traditional model of cilium mechanosensing, indicating that transmembrane proteins may be activated more by membrane curvature than membrane stretching. Finally, we incorporated imaging data of primary cilia into our microstructure-based cilium model, and found that comparing to the ideal model with uniform microtubule length, the imaging-informed model shows the nine microtubule doublets interact more evenly with the cilium membrane, and their contact locations can cause even higher bending curvature in the cilium membrane than near the base. SIGNIFICANCEFactors regulating the mechanical response of a primary cilium to fluid flow remain unclear. Modeling the microtubule doublet as a composite of two orthotropic shells and the ciliary axoneme as an elastic shell enclosing nine such microtubule doublets, we found that the length distribution of microtubule doublets (inferred from cryogenic electron tomography images) is the primary determining factor in the bending stiffness of primary cilia, rather than just the ciliary length. This implies ciliary-associated transmembrane proteins may be activated by membrane curvature changes rather than just membrane stretching. These insights challenge the traditional view of ciliary mechanosensation and expands our understanding of the different ways in which cells perceive and respond to mechanical stimuli.

biophysics↗

bioRxiv2020

Novel software for automated morphometric analysis of stented arteries

Morphometric analysis of explanted arteries remains the gold standard in assessing pathological mechanisms of arterial disease, and the efficacy of therapeutic interventions. Software currently used for morphometric analysis (ImageJ, ImagePro, etc.) requires manual tracing of each region of interest by the user to obtain direct and derived data needed for analysis. Manual segmentation of borders between differently stained arterial compartments is time-consuming and prone to bias, even when the operator is blind to the treatment type. Here, we report newly designed morphometric software, floodSeg, which greatly aids analysis through semiautomated segmentation, followed by automated computation and data entry. The program includes tools for both rapid component selection, and precision user-controlled contour correction. In practice, segmentation occurs following the selection of seed points and corresponding threshold values, for each desired component. The flood fill algorithm is used to map out components, followed by Sklanskys convex-hull algorithm to obtain the outer contours. If necessary, convexity defects can be overcome through manual point placement on top of existing points, and regeneration of the contour. floodSeg was tested using a set of non-uniformly stained stented rat arteries, and compared against manually obtained results. The accuracy of the resulting measurements was within the expected limit based on repeated manual measurements by the same operator, and did not exceed 3%. Most notably, the duration for data acquisition using floodSeg was less than 20% of the time required for manual measurements by an experienced operator. Thus, our contribution is an improvement on widely used software, with significant potential for application in a multitude of areas of pathology practice.

bioinformatics↗

bioRxiv2018

Mechanical Properties of a Primary Cilium from the Stochastic Motions of the Cilium Tip

The stochastic tip dynamics of a primary cilium held within an optical trap is quantified by combining experimental, analytical and computational tools. Primary cilia are cellular organelles, present on most vertebrate cells, hypothesized to function as a fluid flow sensor. The mechanical properties of a cilium remain incompletely characterized. We measured the fluctuating position of an optically trapped cilium tip under untreated, Taxol-treated, and HIF-stabilized conditions. We applied analytical modeling to derive the mean-squared displacement of the trapped tip of a cilium and compared the results with experimental measurements. We provide, for the first time, evidence that the effective flexural rigidity of a ciliary axoneme is length-dependent, and longer cilia are stiffer than shorter cilia. We then provide a rational explanation for both effects. We demonstrate that the apparent length-dependent flexural rigidity can be understood by a combination of modeling axonemal microtubules orthotropic elastic shells and including (actin-driven) active stochastic basal body motion. It is hoped that our improved characterization of cilia will result in deeper understanding of the biological function of cellular flow sensing by this organelle. Our model could be profitably applied to motile cilia and our results also demonstrate the possibility of using easily observable ciliary dynamics to probe interior cytoskeletal dynamics.

biophysics↗