ProjectUM1MH130981 – Functionally guided adult whole brain cell atlas in human and NHP
Basic data
Acronym:
UM1MH130981
Title:
Functionally guided adult whole brain cell atlas in human and NHP
Duration:
22/08/2022 to 30/06/2027
Abstract / short description:
The current proposal brings together a unique team of world leaders to tackle the challenge of creating a new human and non-human primate cell atlas linked to functional brain architecture. Single-cell transcriptomic, epigenomic, and spatial transcriptomics will be used to classify and spatially map cell types across the entire human, macaque, and marmoset brain. Sampling will be based on brain maps derived from structural and functional imaging. Function-localizing fMRI in macaques will allow the direct analysis of cellular correlates of functional topography. Advances in spatial transcriptomics will allow an unprecedented whole primate brain map of cell types. Unique access to macaque tissues for analysis of cellular anatomy and physiology allows the characterization of molecularly-defined cell types in many brain regions. Similar techniques will be applied to living neurosurgically-derived human brain tissues, coupled with enhancer-AAV based tools to allow selective genetic labeling of cell types. Finally, profiling regions central to perception, behavior, and mood across many individuals and diverse mammals will link genetic, environmental, and evolutionary factors to cellular variation.
The outcome of these efforts will produce a new reference classification for cell types across the whole human and NHP brain, spatial maps of molecularly defined cell types, and phenotypic characterization of fundamental brain cell types. The classification will align homologous cell types from mice, marmosets, macaques, and humans, allowing inference and comparison of cellular properties across species. Furthermore, data will be aligned in common coordinate frameworks, allowing the creation of new atlases spanning structural, functional, cellular, and molecular information. All data and analyses will be distributed to the research community, including a formal cell ontology of cell types across species and visualization tools for broad community access.
The outcome of these efforts will produce a new reference classification for cell types across the whole human and NHP brain, spatial maps of molecularly defined cell types, and phenotypic characterization of fundamental brain cell types. The classification will align homologous cell types from mice, marmosets, macaques, and humans, allowing inference and comparison of cellular properties across species. Furthermore, data will be aligned in common coordinate frameworks, allowing the creation of new atlases spanning structural, functional, cellular, and molecular information. All data and analyses will be distributed to the research community, including a formal cell ontology of cell types across species and visualization tools for broad community access.
Involved staff
Managers
Hertie Institute for Artificial Intelligence in Brain Health (HIAI)
Non-clinical institutes, Faculty of Medicine
Non-clinical institutes, Faculty of Medicine
Institute for Bioinformatics and Medical Informatics (IBMI)
Interfaculty Institutes
Interfaculty Institutes
Cluster of Excellence: Machine Learning: New Perspectives for Science (CML)
Centers or interfaculty scientific institutions
Centers or interfaculty scientific institutions
Tübingen AI Center
Department of Informatics, Faculty of Science
Department of Informatics, Faculty of Science
Other staff
Hertie Institute for Artificial Intelligence in Brain Health (HIAI)
Non-clinical institutes, Faculty of Medicine
Non-clinical institutes, Faculty of Medicine
Local organizational units
Hertie Institute for Artificial Intelligence in Brain Health (HIAI)
Non-clinical institutes
Faculty of Medicine
Faculty of Medicine
Funders
Bethesda, Maryland, United States