A5089083222- SARS-CoV-2 and COVID-19 Research
- IL-33, ST2, and ILC Pathways
- Computational Drug Discovery Methods
- Neurogenesis and neuroplasticity mechanisms
- Zoonotic diseases and public health
- Bioinformatics and Genomic Networks
- COVID-19 diagnosis using AI
- Dermatology and Skin Diseases
- Single-cell and spatial transcriptomics
- Mosquito-borne diseases and control
- Lysosomal Storage Disorders Research
- COVID-19 epidemiological studies
- Immune Cell Function and Interaction
- Health, Environment, Cognitive Aging
- HIV Research and Treatment
- CRISPR and Genetic Engineering
- Species Distribution and Climate Change
University of Tennessee at Knoxville
2022-2024
Oak Ridge National Laboratory
2024
Skin is composed of diverse cell populations that cooperatively maintain homeostasis. Up-regulation the nuclear factor κB (NF-κB) pathway may lead to development chronic inflammatory disorders skin, but its role during early events remains unclear. Through analysis single-cell RNA sequencing data via iterative random forest leave one out prediction, an explainable artificial intelligence method, we identified immunoregulatory for a unique paired related homeobox-1 (Prx1) + fibroblast...
Plants are complex systems hierarchically organized and composed of various cell types. To understand the molecular underpinnings plant systems, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for revealing high resolution gene expression patterns at cellular level investigating cell-type heterogeneity. Furthermore, scRNA-seq analysis biosystems great potential generating new knowledge to inform design synthetic biology, which aims modify plants...
Abstract The intracellular cholesterol transporter NPC1 functions in late endosomes and lysosomes to efflux unesterified cholesterol, its deficiency causes Niemann–Pick disease Type C, an autosomal recessive lysosomal disorder characterized by progressive neurodegeneration early death. Here, we use single-nucleus RNA-seq on the forebrain of Npc1 −/− mice at P16 identify cell types pathways affected pathogenesis. Our analysis uncovers significant transcriptional changes oligodendrocyte...
In this work we identify changes in high-resolution zones across the globe linked by environmental similarity that have implications for agriculture, bioenergy, and zoonosis. We refine exhaustive vector comparison methods with improved metrics as well provide multiple of amalgamation 744 months climatic data. The results are captured networks which analyzed using static longitudinal to reveal locations around experiencing dramatic abiotic stress. Specifically (i) incorporate updated scores a...
Current methods for defining SARS-CoV-2 lineages ignore the vast majority of genome. We develop and apply an exhaustive vector comparison method that directly compares all known genome sequences to produce novel lineage classifications. utilize data-driven models (i) accurately capture complex interactions across set genomes, (ii) scale leadership-class computing systems, (iii) enable tracking how such strains evolve geospatially over time. show during height original Omicron surge,...