A5086014000- Urinary Bladder and Prostate Research
- Urinary Tract Infections Management
- Gut microbiota and health
- Tryptophan and brain disorders
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Nutritional Studies and Diet
- 3D Printing in Biomedical Research
- Data Visualization and Analytics
- Advanced Fluorescence Microscopy Techniques
- Mycobacterium research and diagnosis
- Genomics and Phylogenetic Studies
- Pelvic floor disorders treatments
- Cloud Computing and Resource Management
- Nanoplatforms for cancer theranostics
- Tuberculosis Research and Epidemiology
- Scientific Computing and Data Management
- Metabolomics and Mass Spectrometry Studies
- Meteorological Phenomena and Simulations
- DNA and Biological Computing
- Respiratory viral infections research
- Higher Education and Employability
- Video Analysis and Summarization
- Biomedical Text Mining and Ontologies
- Computational Fluid Dynamics and Aerodynamics
National Center for Supercomputing Applications
1990-2023
University of Illinois Urbana-Champaign
1992-2023
University of Illinois System
2021
National Center for Supercomputing Applications
1994-2020
Urbana University
2015-2020
Illinois College
2020
Lung epithelial and endothelial cell damage defective lung tissue repair contribute to fatal COVID-19.
Interstitial cystitis/bladder pain syndrome (IC) is associated with significant morbidity, yet underlying mechanisms and diagnostic biomarkers remain unknown. Pelvic organs exhibit neural crosstalk by convergence of visceral sensory pathways, rodent studies demonstrate distinct bacterial phenotypes, suggesting that the microbiome modulates pelvic in IC. Stool samples were obtained from female IC patients healthy controls, symptom severity was determined questionnaire. Operational taxonomic...
Conjugated estrogens (CE) and Bazedoxifene (BZA) combination is used to alleviate menopause-associated symptoms in women. CE+BZA undergo first-pass-metabolism the liver deconjugation by gut microbiome via β-glucuronidase (GUS) enzyme inside distal gut. To date, impact of long-term exposure on or GUS activity has not been examined. Our study using an ovariectomized mouse model showed that administration did affect overall cecal fecal community except it decreased abundance Akkermansia, which...
Abstract Significant investments to upgrade and construct large-scale scientific facilities demand commensurate in R&D design algorithms computing approaches enable engineering breakthroughs the big data era. Innovative Artificial Intelligence (AI) applications have powered transformational solutions for challenges industry technology that now drive a multi-billion dollar industry, which play an ever increasing role shaping human social patterns. As AI continues evolve into paradigm...
Epithelial ovarian cancer (OC) is the most deadly of female reproductive system. To date, there no effective screening method for early detection OC and current diagnostic armamentarium may include sonographic grading tumor analyzing serum levels markers, Cancer Antigen 125 (CA-125) Human epididymis protein 4 (HE4). Microorganisms (bacterial, archaeal, fungal cells) residing in mucosal tissues including gastrointestinal urogenital tracts can be altered by different disease states, these...
We present Knowledge Engine for Genomics (KnowEnG), a free-to-use computational system analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools popular bioinformatics tasks such as gene prioritization, sample clustering, set analysis, and expression signature analysis. The specializes in "knowledge-guided" mining machine learning algorithms, which user-provided are analyzed light prior information about genes, aggregated from numerous knowledge bases...
Active tuberculosis (TB) is caused by Mycobacterium (Mtb) bacteria and characterized multiple phases of infection, leading to difficulty in diagnosing treating infected individuals. Patients with latent infection (LTBI) can reactivate the active phase following perturbation dynamic bacterial immunological equilibrium, which potentially lead further Mtb transmission. However, current diagnostics often lack specificity for LTBI do not inform on TB reactivation risk. We hypothesized that immune...
Diet affects the human gastrointestinal microbiota. Blood and urine samples have been used to determine nutritional biomarkers. However, there is a dearth of knowledge on utility fecal biomarkers, including microbes, as biomarkers food intake.This study aimed identify compact set microbial intake with high predictive accuracy.Data were aggregated from 5 controlled feeding studies in metabolically healthy adults (n = 285; 21-75 y; BMI 19-59 kg/m2; 340 data observations) that studied impact...
Abstract Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major clinical public health problem. We hypothesize that multiparameter strategies probe immune responses to Mycobacterium can provide new diagnostic insights into not only the status LTBI infection, but also reactivation. After initial proof-of-concept study, we developed 13-plex immunoassay panel profile cytokine release from peripheral blood mononuclear cells stimulated separately with...
Abstract Screening agrochemicals and pharmaceuticals for potential liver toxicity is required regulatory approval an expensive time-consuming process. The identification utilization of early exposure gene signatures robust predictive models in testing has the to reduce time costs substantially. In this study, comparative supervised machine learning approaches were applied rat TG-GATEs dataset develop feature selection testing. We identified ten biomarkers using three different methods that...
The numerical model simulation of thunderstorms in three spatial dimensions and time is leading to im proved understanding severe storm structure evolution. results from one these simulations presented using a variety display techniques illus trate the water ice storm, how air moves rotates around different physical processes influence rotation near ground. visualization data was team ef fort, accompanying video illustrates value animation studying complex fluid flow problems kind tools that...
Journal Article Precision immunoprofiling to reveal diagnostic signatures for latent tuberculosis infection and reactivation risk stratification Get access Heather M Robison, Robison Department of Chemistry, University Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, IL, USA Search other works by this author on: Oxford Academic Google Scholar Patricio Escalante, Escalante Mycobacterial Bronchiectasis Clinic, Division Pulmonary Critical Care Medicine, Mayo Clinic Center...
Dysbiosis of gut microbiota is associated with many pathologies, yet host factors modulating remain unclear. Interstitial cystitis/bladder pain syndrome (IC/BPS) a debilitating condition chronic pelvic often comorbid urinary dysfunction and anxiety/depression, recent studies find fecal dysbiosis in patients IC/BPS. We identified the locus encoding acyloxyacyl hydrolase,
Influenza A viruses are significant human pathogens that caused 83,000 deaths in the United States during 2017 to 2018, and there is need understand molecular correlates of illness identify prognostic markers viral infection, symptom severity, disease course. Preexisting antibodies against neuraminidase (NA) hemagglutinin (HA) proteins play a critical role lessening severity. We performed global gene expression profiling peripheral blood leukocytes collected acute convalescent phases from...
"Study of a Numerically Modeled Severe Storm" is well known animation within the scientific visualization community. The among best its genre, featuring full storyboarding, chosen representations, high quality rendering, and professional narration. We recently revisited thunderstorm to consider what we would do differently if were make that video again. wanted demonstrate several principles effective information presentation, drawing from fields graphic design visual perception. Our purpose...
Abstract Pancreatic cancer is a devastating disease often detected at later stages, necessitating swift and effective chemotherapy treatment. However, chemoresistance common its mechanisms are poorly understood. Here, label-free multi-modal nonlinear optical microscopy was applied to study microstructural functional features of pancreatic tumors in vivo monitor inter- intra-tumor heterogeneity treatment response. Patient-derived xenografts with human ductal adenocarcinoma were implanted into...
Background Clustering is one of the most common techniques in data analysis and seeks to group together points that are similar some measure. Although there many computer programs available for performing clustering, a single web resource provides several state-of-the-art clustering methods, interactive visualizations evaluation results lacking. Methods ClusterEnG (acronym Engine Genomics) interface including 3D views, selection zoom features. Eighteen validation measures also presented aid...
In this study, sequencing of the 16S rRNA gene targeting V4-V6 regions was conducted to assess cecal microbial alterations in response dietary supplementation with a yeast derived mannan rich fraction (MRF) standard commercial broiler production settings across four separate trials. The resulting data analysed identify consistent changes bacterial community structure cecum MRF supplementation. Subsequently, datasets from each individual trial were pooled and for differences between control...
Introduction: Myxomatous mitral valve disease (MMVD) is a degenerative condition characterized by tissue fibrosis and matrix remodeling which ultimately progresses to leaflet prolapse. While recent work has shown that transforming growth factor beta (TGF-β) signaling contributes the pathogenesis of MMVD, upstream regulators this other pathways remain poorly understood. Hypothesis: We sought use high-throughput RNA sequencing coupled with microRNA (miRNA) identify novel molecular targets as...
Abstract We present KnowEnG, a free-to-use computational system for analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools popular bioinformatics tasks such as gene prioritization, sample clustering, set and expression signature analysis. The offers ‘knowledge-guided’ data-mining machine learning algorithms, where user-provided are analyzed in light prior information about genes, aggregated from numerous knowledge-bases encoded massive ‘Knowledge...
Abstract Significant investments to upgrade and construct large-scale scientific facilities demand commensurate in R\&D design algorithms computing approaches enable engineering breakthroughs the big data era. Innovative Artificial Intelligence (AI) applications have powered transformational solutions for challenges industry technology that now drive a multi-billion dollar industry, which play an ever increasing role shaping human social patterns. As AI continues evolve into paradigm...
Background A growing body of literature supports the ability specific foods and nutrients to impact gastrointestinal microbiome. However, there is a dearth knowledge on interplay dietary components (e.g. nutrients), bacteria, bacterial metabolites. Current analytical approaches limit investigation these complex interrelations; therefore, further research utilizing modern machine learning methods needed. Objective We aimed fill gap in about interrelationship diet, microbiome, health by...
To better understand host-microbe interactions, a more computationally intensive, multivariate, machine learning approach must be utilized. Accordingly, we aimed to identify biomarkers with high predictive accuracy for dietary intake. Data were aggregated from five randomized, controlled, feeding studies in adults (n = 199) that provided avocados, almonds, broccoli, walnuts, or whole grain oats and barley. Fecal samples collected during treatment control periods each study DNA extraction....