A5084254511- SARS-CoV-2 and COVID-19 Research
- vaccines and immunoinformatics approaches
- Immunotherapy and Immune Responses
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Neuroendocrine regulation and behavior
- Probabilistic and Robust Engineering Design
- Neuroscience and Neural Engineering
- Reproductive biology and impacts on aquatic species
- Research Data Management Practices
- COVID-19 Clinical Research Studies
- Scientific Computing and Data Management
- Physiological and biochemical adaptations
- Scientific Research and Discoveries
- Advanced Data Storage Technologies
- Monoclonal and Polyclonal Antibodies Research
- Functional Brain Connectivity Studies
- Vaccine Coverage and Hesitancy
- Tryptophan and brain disorders
- Astro and Planetary Science
- Proteoglycans and glycosaminoglycans research
- Nutrition and Health in Aging
- Neuroinflammation and Neurodegeneration Mechanisms
- Geophysics and Gravity Measurements
- Muscle Physiology and Disorders
Oslo Cancer Cluster
2020-2022
University of Oslo
2017-2019
Perineuronal nets (PNNs) are specialized extracellular matrix (ECM) structures that condense around the soma and proximal dendrites of subpopulations neurons. Emerging evidence suggests they involved in regulating brain plasticity. However, expression PNNs varies between within areas. A lack quantitative studies describing distribution cell-specificity makes it difficult to reveal functional roles PNNs. In current study, we examine identity PNN-enwrapped neurons three areas with different...
Computational models in neuroscience typically contain many parameters that are poorly constrained by experimental data. Uncertainty quantification and sensitivity analysis provide rigorous procedures to quantify how the model output depends on this parameter uncertainty. Unfortunately, application of such methods is not yet standard within field neuroscience. Here we present Uncertainpy, an open-source Python toolbox, tailored perform uncertainty models. Uncertainpy aims make it quick easy...
Abstract The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus Severe Acute Respiratory Syndrome 2 (SARS-CoV-2). goal this study was to use artificial intelligence (AI) predict blueprints for designing universal vaccines against SARS-CoV-2, that contain sufficiently broad repertoire T-cell epitopes capable providing coverage and protection across population. To help achieve these aims, we profiled entire...
During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, NEC Immune Profiler (NIP) to scrutinize and predict regions of immunogenicity (hotspots) from entire SARS-CoV-2 viral proteome. These immunogenic offer potential for development universally protective vaccine candidates. Here, validated characterized responses a set minimal epitopes these AI-identified universal hotspots. Utilizing flow cytometry-based activation-induced marker (AIM) assay, identified 59...
Poor overall survival of hematopoietic stem cell transplantation (HSCT) recipients who developed COVID-19 underlies the importance SARS-CoV-2 vaccination. Previous studies vaccine efficacy have reported weak humoral responses but conflicting results on T immunity. Here, we examined relationship between and response in 48 HSCT received two doses Moderna’s mRNA-1273 or Pfizer/BioNTech’s BNT162b2 vaccines. Nearly all patients had robust immunity regardless protective responses, with 18/48 (37%,...
Natural sciences generate an increasing amount of data in a wide range formats developed by different research groups and commercial companies. At the same time there is growing desire to share along with publications order enable reproducible research. Open have publicly available specifications which facilitate sharing Hierarchical Data Format 5 (HDF5) popular open format widely used neuroscience, often as foundation for other, more specialized formats. However, drawbacks related HDF5's...
Abstract Aim Cachexia is a severe wasting disorder involving loss of body‐ and muscle mass reducing survival quality life in cancer patients. We aim at determining if cachexia mere perturbation the protein balance or condition also involves degenerative myonuclei within fibre syncytia whole fibres. Methods induced by xenografting PC3 prostate cells nu/nu mice. Six weeks later, we counted vivo microscopic imaging single live fibres extensor digitorum longus (EDL), EDL, soleus tibialis...
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps available for simulation neural networks. Here, we describe app, Neuronify, allowing the user easily create explore networks in a plug-and-play environment. The pick network elements adjustable parameters from menu, i.e., synaptically connected neurons modelled as...
Abstract Computational models in neuroscience typically contain many parameters that are poorly constrained by experimental data. Uncertainty quantification and sensitivity analysis provide rigorous procedures to quantify how the model output depends on this parameter uncertainty. Unfortunately, application of such methods is not yet standard within field neuroscience. Here we present Uncertainpy, an open-source Python toolbox, tailored perform uncertainty models. Uncertainpy aims make it...
During the COVID-19 pandemic, several SARS-CoV-2 variants of concern (VOC) emerged, bringing with them varying degrees health and socioeconomic burdens. In particular, Omicron VOC displayed distinct features increased transmissibility accompanied by antigenic drift in spike protein that partially circumvented ability pre-existing antibody responses global population to neutralize virus. However, T cell immunity has remained robust throughout all different transmission waves emerged as a...
Pituitary endocrine cells fire action potentials (APs) to regulate their cytosolic Ca2+ concentration and hormone secretion rate. Depending on animal species, cell type, biological conditions, pituitary APs are generated either by TTX-sensitive Na+ currents (INa), high-voltage activated (ICa), or a combination of the two. Previous computational models have mainly been based data from rats, where INa is largely inactivated at resting potential, spontaneous predominantly mediated ICa. Unlike...
Abstract The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus Severe Acute Respiratory Syndrome 2 (SARS-CoV-2). goals this study were to use artificial intelligence (AI) predict blueprints for designing universal vaccines against SARS-CoV-2, that contain sufficiently broad repertoire T-cell epitopes capable providing coverage and protection across population. To help achieve these aims, we profiled entire...
ABSTRACT During the COVID-19 pandemic, several SARS-CoV-2 variants of concern (VOC) emerged, bringing with them varying degrees health and socioeconomic burdens. In particular, Omicron VOC displayed distinct features increased transmissibility accompanied by anti-genic drift in spike protein that partially circumvented ability pre-existing anti-body responses global population to neutralize virus. However, T cell immunity has remained robust throughout all different transmission waves...
People who use drugs (PWUD) are at a high risk of contracting and developing severe coronavirus disease 2019 (COVID-19) other infectious diseases due to their lifestyle, comorbidities, the detrimental effects opioids on cellular immunity. However, there is limited research vaccine responses in PWUD, particularly regarding role that T cells play immune response acute respiratory syndrome 2 (SARS-CoV-2). Here, we show before vaccination, PWUD did not exhibit an increased frequency preexisting...
Abstract This protocol predicts blueprints for vaccine design that contain a broad repertoire of T-cell epitopes optimized the global population. The first requires screening SARS-CoV-2 proteome using immunogenicity predictors to generate comprehensive epitope maps. Then, these maps are used as input Monte Carlo simulations designed identify statistically significant “epitope hotspot” regions in virus most likely be immunogenic. hotspots share homology with proteins human removed reduce...
ABSTRACT Natural sciences generate an increasing amount of data in a wide range formats developed by different research groups and commercial companies. At the same time there is growing desire to share along with publications order enable reproducible research. Open have publicly available specifications which facilitate sharing Hierarchical Data Format 5 (HDF5) popular open format widely used neuroscience, often as foundation for other, more specialized formats. However, drawbacks related...
Abstract Pituitary endocrine cells fire action potentials (APs) to regulate their cytosolic Ca 2+ concentration and hormone secretion rate. Depending on animal species, cell type, biological conditions, pituitary APs are generated either by TTX-sensitive Na + currents ( I ), high-voltage activated or a combination of the two. Previous computational models have mainly been based data from rats, where is largely inactivated at resting potential, spontaneous exclusively mediated . As part...