NIH SenNet Consortium will map senescent cell populations throughout human life to better understand physiological health aging
TMCs are in charge of all data generation, from the collection of tissue and its analysis to data interpretation and integration. TMCs are expected to acquire and integrate imaging data and omics data in order to standardize, benchmark and validate SnC mapping at single-cell level for the tissues they have been assigned. TDA sites will develop innovative new tools and approaches to deeply phenotype SnCs within human tissues and in model systems. Some examples include the multi-omics characterization and quantification of 4D nucleomes in SnCs. These new technologies will be used by TMCs to develop a wide range of tissues. The CODCC is responsible for collecting, storing and curating all the data and metadata generated from TDA and TMC sites. The CODCC will be responsible for creating the final atlas and computational models as well as tools for visualizing and disseminating the data to the scientific community.
SenNet is expected to interface with other cell-mapping programs, such as the Human Bimolecular Atlas Program(HuBMAP), Human Cell Atlas(HCA), and Kidney Precision Medicine Project. HuBMAP, an NIH Common Fund Initiative, aims to develop resources and frameworks to map 30 trillion cells in the human body by using cell-lineage protein identifiers. HCA uses single-cell transcriptomics and spatial mapping to create cell reference map defining position, function and characteristic of all human cells. The KPMP initiative is a National Institute of Diabetes and Digestive and Kidney Diseases’ (NIDDK), aiming to use state-of the-art and emerging technology to characterize kidney biopsies of participants with acute renal injury or chronic kidney diseases to enable personalized treatment approaches.
Source:
https://www.nature.com/articles/s43587-022-00326-5
