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model, we were first to show that maternal obesity alone causes offspring cardiac structural defects and disrupts WNT/PCP genes and proteins in the developing heart. The successful candidate will combine
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multi-parameter flow cytometry Expertise in molecular immunology using human specimens, including controlled human infection models Expertise in liver-stage immunity Expertise in host-pathogen
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate treatment. Using a combination of molecular and genomic data and human-in-mouse models, the lab has identified four core subtypes in
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, the fellow will perform and analyse cellular and molecular experiments using established models of mitochondrial dysfunction, integrate the resulting data with previous findings, and contribute
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, transgenic/gene-targeted mouse models, and natural hosts (e.g., cattle, deer, and sheep). Note: Research will be carried out in BSL-2+ or BSL-3 laboratories. The fellowship activities involve utilizing
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cognitive impairment. The project combines in vivo disease models with advanced cellular and molecular approaches, including electrophysiology, high-resolution imaging, molecular biology and ultrastructural
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health products, e.g. toothpaste. The simulations will utilize molecular dynamics and first principles DFT codes to model enamel surfaces and their interactions with the environment of the mouth. You will
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The Jiang Lab, The Icahn School of Medicine at Mount Sinai | New York City, New York | United States | 2 months ago
tools into next-generation gene therapies to treat those untreatable human genetic diseases, such as cystic fibrosis. To achieve this, we will engineer advanced CRISPR tools to correct or model
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and molecular mechanisms regulating human fetal choroid plexus development and its role in early brain development using state-of-the-art single-cell genomics and multi-omics approaches. This exciting