A5109621172- Emotions and Moral Behavior
- SARS-CoV-2 and COVID-19 Research
- Tryptophan and brain disorders
- Genetic Associations and Epidemiology
- Nanoplatforms for cancer theranostics
- Monoclonal and Polyclonal Antibodies Research
- Mental Health and Psychiatry
- Prostate Cancer Treatment and Research
- Acute Myeloid Leukemia Research
- Glioma Diagnosis and Treatment
- Immune cells in cancer
- Adenosine and Purinergic Signaling
- Genomics and Rare Diseases
- Advanced Neural Network Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Phagocytosis and Immune Regulation
- Domain Adaptation and Few-Shot Learning
- Cancer-related gene regulation
- Cancer, Stress, Anesthesia, and Immune Response
- Phenomenology and Existential Philosophy
- Video Surveillance and Tracking Methods
- Psychotherapy Techniques and Applications
- Bacterial Infections and Vaccines
- Complement system in diseases
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Promega (United States)
2021-2025
University of Miami
2023-2025
AstraZeneca (United Kingdom)
2025
AstraZeneca (Brazil)
2022-2024
University of Michigan
2024
Sylvester Comprehensive Cancer Center
2024
Cleveland Clinic
2024
Cleveland Clinic Lerner College of Medicine
2024
Johns Hopkins University
2022
Johns Hopkins Medicine
2022
Dravet syndrome is an archetypal rare severe epilepsy, considered 'monogenic', typically caused by loss-of-function SCN1A variants. Despite a recognizable core phenotype, its marked phenotypic heterogeneity incompletely explained differences in the causal variant or clinical factors. In 34 adults with SCN1A-related syndrome, we show additional genomic variation beyond contributes to phenotype and diversity, excess of variants epilepsy-related genes as set examples blended phenotypes,...
The etiology of prostate cancer, the second most common cancer in men globally, has a strong heritable component. While rare coding germline variants several genes have been identified as risk factors from candidate gene and linkage studies, exome-wide spectrum causal remains to be fully explored. To more comprehensively address their contribution, we analysed data 37,184 cases 331,329 male controls five cohorts with exome/genome sequencing one cohort imputed array population enriched...
Abstract Macrophages play a pivotal role in anti-cancer immunity through phagocytosis and presentation of tumor antigens to T cells. Antibody-dependent cellular (ADCP), mediated by macrophages other myeloid cells, is key mechanism-of-action (MoA) for antibody-based cancer immunotherapies. Strategies that enhance ADCP macrophage effector functions not only promote direct destruction but also facilitate broader anti-tumor immunity. initiated the binding antibody Fc domains gamma receptors...
Abstract Bispecific antibodies targeting immune checkpoints are transforming cancer immunotherapy by enabling novel mechanisms of action unattainable monospecific antibodies. These engineered molecules simultaneously engage two distinct epitopes, such as PD-1 and CTLA-4 or TIGIT, to amplify anti-tumor responses while minimizing off-target effects. Here we demonstrate the use cell-based reporter bioassays provide a robust platform for assessing functional potency, stability, specificity...
Abstract The efficacy of immune checkpoint inhibitors (ICIs) is hampered by tumor-associated immunosuppressive myeloid cells. Secreted nano-sized (∼25-100 nm) bacterial extracellular vesicles (bEVs) modulate cells in the context infection and colonization, are being developed for cancer immunotherapy. However, lack standardized bEV purification strategies limit reproducibility across laboratories hamper translational development. Herein, we aimed to develop a scalable isolation workflow...
Sex differences in immune responses impact cancer outcomes and treatment response, including glioblastoma (GBM). However, host factors underlying sex specific immune-cancer interactions are poorly understood. Here, we identify the neurotransmitter γ-aminobutyric acid (GABA) as a driver of GBM-promoting response females. We demonstrated that GABA receptor B (GABBR) signaling enhances L-Arginine metabolism nitric oxide synthase 2 (NOS2) expression female granulocytic myeloid-derived suppressor...
<title>Abstract</title> Sex differences in immune responses impact cancer outcomes and treatment response, including glioblastoma (GBM). However, host factors underlying sex specific immune-cancer interactions are poorly understood. Here, we identify the neurotransmitter γ-aminobutyric acid (GABA) as a driver of GBM-promoting response females. We demonstrated that GABA receptor B (GABBR) signaling enhances L-Arginine metabolism nitric oxide synthase 2 (NOS2) expression female granulocytic...
<h3>Background</h3> Immune system primary effector cells, such as macrophage and natural killer are crucial in combating cancer through mechanisms antibody-dependent cellular phagocytosis (ADCP) cytotoxicity (ADCC). Both ADCP ADCC key antibody-based immunotherapies, beginning when antibodies bind to Fc gamma receptors (FcγRs) on the immune triggering a cascade of events that lead downstream response. <h3>Methods</h3> We have developed stable luminescent plate-based reporter bioassays measure...
Abstract Astrocytes are the most abundant glial cell in brain and have been shown to adopt reactive phenotypes upon interaction with glioma cells. While tumor-associated astrocyte (TAA) reactivity is linked increased inflammation, proliferation, invasion, treatment resistance of glioblastoma (GBM), mechanisms by which cancer cells reprogram TAA poorly defined. We previously that mitochondrial transfer from astrocytes GBM via GAP43-dependent microtubes alters cellular metabolism increases...
Introduction: There is no consensus as to the optimal SARS-CoV-2 vaccination sequence in solid organ transplant recipients (SOTRs). Anti-spike antibody response two-dose BNT162b2 mRNA vaccine series poor SOTRs, and it possible that higher-dose mRNA-1273 could improve immunogenicity suboptimal responders, who are at high risk for infection. Methods: We evaluated 114 SOTRs tested negative on an anti-spike assay after two doses of had a third dose (D3) either homologous or heterologous vaccine....
This work proposes a method for using any generator network as the foundation of an Energy-Based Model (EBM). Our formulation posits that observed images are sum unobserved latent variables passed through and residual random variable spans gap between output image manifold. One can then define EBM includes part its forward pass, which we call Hat EBM. The model be trained without inferring data or calculating Jacobian determinant. enables explicit probabilistic modeling distribution type...
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Abstract Macrophages play a key role in the elimination of cancer via phagocytosis and presentation tumor antigens to T cells. Antibody-dependent cellular (ADCP), mediated by macrophages other myeloid cells, is an important mechanism-of-action (MoA) for antibody-based immunotherapies. Therapeutic strategies that enhance ADCP macrophage effector functions can augment direct destruction enable anti-tumor immunity. initiated binding antibody Fc domains gamma receptors (FcgRs), FcgR crosslinking...
<h3>Background</h3> Antibody-dependent Cellular Phagocytosis (ADCP) is an important mechanism of action (MOA) therapeutic antibodies designed to deplete tumor cells. ADCP mediated by effector cells such as monocytes and macrophages, induced via simultaneous binding FcγRIIa, FcγRI, or FcγRIIIa on a specific antigen target Traditionally, direct measurement relies ex vivo differentiation primary macrophages followed flow cytometry assays. These protocols are laborious produce highly variable...
We give a non-technical introduction to convergence-divergence models, new modeling approach for phylogenetic data that allows the usual divergence of species post speciation but also converge, i.e. become more similar over time. By examining $3$-taxon case in some detail we illustrate phylogeneticists have been "spoiled" sense not having think about structural parameters their models by virtue strong assumption evolution is treelike. show there are always good statistical reasons prefer...
We present a bottom-up approach for the task of object instance segmentation using single-shot model. The proposed model employs fully convolutional network which is trained to predict class-wise masks as well bounding boxes instances each pixel belongs. This allows us group pixels into individual instances. Our architecture based on DeepLabv3+ model, and requires only minimal extra computation achieve pixel-wise assignments. apply our method person segmentation, common relevant many...
This work presents strategies to learn an Energy-Based Model (EBM) according the desired length of its MCMC sampling trajectories. trajectories different lengths correspond models with purposes. Our experiments cover three trajectory magnitudes and learning outcomes: 1) shortrun for image generation; 2) midrun classifier-agnostic adversarial defense; 3) longrun principled modeling probability densities. To achieve these outcomes, we introduce novel methods initialization negative samples...