Project description:Interventions: 1. Diffusion-weighted whole-body imaging with background body signal suppression (DWIBS);
2. Colonoscopy.
Primary outcome(s): Investigate whether DWIBS is effective for colorectal cancer screening.
Study Design: N/A: single arm study, Single blinded (masking used), N/A , unknown, Crossover
Project description:This datasets contain the proteomes relative to the whole body protein extract and to the chemically discharged nematocysts of the white gorgonian Eunicella singularis (Octocorallia) to investigate its venom composition.
Project description:Many diseases, such as obesity, have systemic effects that impact multiple organ systems throughout the body. However, tools for comprehensive, high-resolution analysis of disease-associated changes at the whole-body scale have been lacking. Here, we developed a suite of deep learning-based image analysis algorithms (MouseMapper) and integrated it with tissue clearing and light sheet microscopy to enable a comprehensive quantitative analysis of diseases impacting diverse systems across the mouse body. This technological approach enables quantitative analysis of cellular and structural changes across the entire mouse body at unprecedented resolution and scale, including tracking nerves over several centimeters in whole animal bodies. To demonstrate its power, we applied MouseMapper to study nervous and immune systems in chow and high-fat diet (HFD)-induced obese mice. We uncovered widespread changes in both immune cell distribution and nerve structures, including alterations in the trigeminal nerve characterized by reduced nerve endings in obese mice. These structural abnormalities were associated with functional deficits of whiskers that they innervate and proteomic changes in their ganglion, primarily affecting pathways related to axon growth, and the complement system. Additionally, we revealed whole-body inflammation, which showed heterogeneity across different tissues in obese mice. Our study demonstrates MouseMapper's capability to discover and quantify pathological alterations at the whole-body level, offering a powerful new approach for investigating the systemic impacts of various diseases.
Project description:We used isotopic (heavy) labelling to delineate between female and male proteins interacting in the female reproductive tract. Here, we test the efficiency of the labelling protocols on the whole body of males and females.
Project description:Many diseases, such as obesity, have systemic effects that perturb multiple organ systems throughout the body. However, tools for comprehensive, high-resolution analysis of disease-associated changes at the whole-body scale have been lacking. Here, we developed MouseMapper, a suite of foundation model-based deep learning algorithms, to enable a multi-system analysis of disease across the entire mouse body. MouseMapper enables quantitative, graph-based analysis of nerves and immune cells at the whole-body level resolving fine axonal branches and immune cell clusters and automatically segments 31 organs and tissues in the mouse body. We applied MouseMapper to study high-fat diet-induced obesity, uncovering a significant degeneration of the infraorbital branch of the trigeminal ganglia. This structural damage in infraorbital nerves was associated with functional sensory deficits in whisker sensing. Furthermore, we identified proteomic changes in the trigeminal ganglion affecting axon remodeling and complement pathways both in mouse and human. MouseMapper also generated detailed 3D inflammation maps by characterizing immune cell cluster compositions across tissues. The MouseMapper framework demonstrates robust generalizability across different imaging resolutions and datasets. Our study provides a powerful, scalable approach for discovering and quantifying systemic pathologies, bridging molecular insights from animal models to human conditions.