Malfunctioning cells are at the root of many human diseases, including cardiovascular disease, neurodegeneration, diabetes, and cancer. Our goals are to map and understand cellular physiology across scales in time and space and to make the data we obtain openly available to advance all research in cell biology. Understanding the healthy cell is a prerequisite to diagnosing, understanding, and treating the diseased state.
Manuel Leonetti‘s team brings together cell biologists, data scientists, and engineers to build a reference map of how the human cell is internally organized. Their flagship project, OpenCell, is combining CRISPR engineering, live-cell microscopy, and proteomics to characterize the spatial location and molecular interactions of all the proteins that make up the cell.
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Using state-of-the-art, custom-built light-sheet microscopes coupled with spatial transcriptomics and photoactivation of lineage-specific reporters, Loïc Royer and his group are mapping how tissues form during early development at unprecedented spatial and temporal resolution. These studies are enabled by innovative tools for machine learning, image analysis, refinement, and visualization.
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Keir Balla‘s group, which straddles Infectious Disease and Quantitative Cell Science, discovers zebrafish viruses and deploys them as tools for capturing infection dialogs in toto with visual and molecular precision.
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Led by Greg Huber, a group of mathematicians and computational and theoretical physicists is working in close collaboration with experimental biologists, using tools from applied mathematics and theoretical physics to understand problems in cell biology and beyond.
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Adrian Jacobo‘s group uses a combination of zebrafish transgenesis, cutting-edge imaging tools, and mathematical modeling to understand how tissue architecture emerges from the spatial and temporal dynamics of cell-cell signaling.
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Ranen Aviner’s group uses molecular biology, transcriptomics, and proteomics to investigate how ribosomal networks change during viral infection. Aviner also works in the Biohub’s Quantitative Cell Science initiative on neurodegeneration, with the goal of designing rational, therapeutic interventions.
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Zebrahub is a comprehensive resource to understand vertebrate development, integrating for the first time single-cell RNA sequencing (scRNAseq) and live-imaging-based cell lineages (light-sheet microscopy). The resource includes a wide range of multidisciplinary innovations (such as microscope designs, software tools, and protocols) and datasets, all provided as a publicly accessible resource.
A collaboration between the Leonetti group at CZ Biohub and the Mann Lab at the Max Planck Institute of Biochemistry, along with many other colleagues.
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