Support standardized, single cell molecular profiling (genomic, proteomic, metabolomic) and open-access data infrastructure to develop a single-cell atlas for the aging brain and for AD/ADRD that can be queried by data scientists as well as basic and clinical researchers. The selection of samples for single-cell profiling needs to be optimized to allow integration of molecular profiles with existing clinical and whole-tissue molecular data (from brain and peripheral tissues) generated on the same individuals to aid novel target and biomarker discovery for precision medicine.
Support the development of integrative, computational models of cellular interactions in the CNS underlying brain aging and transition to AD and ensure their rapid and wide dissemination to the research community. These efforts should include research on:
- understanding cell-specific vulnerability to amyloid ß, tau and other pathogenic insults, and
- neuron-glia, glia-glia, and other inter-cellular interactions in the context of brain aging and AD/neurodegeneration.
- Launch a program to support deep single-cell molecular profiling using cells from participants from at least 6 diverse cohorts to complement whole brain and peripheral tissue molecular profiling conducted in the same participants. Provide support for adequate hosting, curation, analyses and mining of the datasets and network models via existing and/or new data sharing platforms.
- Research Implementation Area
- Translational Tools, Infrastructure and Capabilities
- In Progress
- RFA-AG-17-054: Enhancing the Target and Biomarker Discovery Efforts of the AMP-AD and M2OVE-AD Consortia (R01)
- RFA-AG-18-013: Continuation of the AMP-AD Target Discovery and Preclinical Validation Consortium
- RFA-AG-18-014: Limited Competition: Data Coordinating Center for the Accelerating Medicines Partnership Target Discovery and Preclinical Validation Consortium AMP-AD (U24)