Human brain cell-type-specific aging clocks based on single-nuclei transcriptomics - Supplementary Data

Additional Data for: "Human brain cell-type-specific aging clocks based on single-nuclei transcriptomics" (DOI: https://doi.org/10.1002/advs.202506109) All supplementary data corresponding to the article can be found in the compressed file, "Supplementary_Data.zip". The contents include the following: Supplementary Data 1: Sample information and distribution of cells from different cell types.Supplementary Data 2: Gene expression in each cell type in the training dataset.Supplementary Data 3: Differential gene expression analysis results from all major cell Types across all age-group comparisons.Supplementary Data 4: Gene over-representation test results from all comparisons.Supplementary Data 5: Aging clocks: regression models of each of the 27 aging clocks.Supplementary Data 6: Predicted age from the testing rounds of each of the 27 aging clocks.Supplementary Data 7: Summary of aging clock performances in the training dataset.Supplementary Data 8: Summary of ExtraTrees Regressor model performances in the training dataset.Supplementary Data 9: Gene over-representation test results for clock-selected feature genesSupplementary Data 10: Label transfer prediction results in the external datasets.Supplementary Data 11: Predicted age given by the 27 aging clocks in the control cohort of Fröhlich et al. dataset.Supplementary Data 12: Predicted age given by the 27 aging clocks in Velmeshev et al. dataset.Supplementary Data 13: Summary of aging clock performances in the external validation datasets.Supplementary Data 14: Age correlation results of clock-selected feature genes in the training and the external validation datasets.Supplementary Data 15: Predicted age given by the top aging clocks in the Schizophrenia cohort of Frohlich et al. dataset.Supplementary Data 16: Summary of age acceleration comparison in the Fröhlich et al. dataset.Supplementary Data 17: Predicted age given by the top aging clocks in the Gabitto et al. dataset.Supplementary Data 18: Summary of age acceleration comparison in the Gabitto et al. dataset. Further, the following files are included for reproducing the code/figures and as an additional resource for exploring the original human postmortem prefrontal cortex dataset: training_cohort_metadata.csv: Metadata of the training cohort. training_data_so_qc.rds: Contains Seurat object with unfiltered data along with basic qc parameters. training_data_so_final.rds: Contains Seurat object with final filtered data, assays, reductions and cell type annotations.