Single-cell atlas of the human immune system reveals sex-specific dynamics of immunosenescence

Output data and supplementary tables from "Sopena-Rios, M., Ripoll-Cladellas, A. et al. Single-cell analysis of the human immune system reveals sex-specific dynamics of immunosenescence. Nat. Aging (2026). https://doi.org/10.1038/s43587-026-01099-x" Source Data 01_celltype_proportions_{sex}.rds: Cell type proportions computed at donor level used to run age-compositional analysis (Figure 1e)02_MiloObject_Preprocessed_{sex}.rds: KNN graph for the differential abundance analysis with Milo (Figure 2a-b)03_Nhood-cell_id_${sex}.rds: Correspondence of each individual cell to a Milo neighborhood (Figure 2a-b)04_SO_CD14_Mono_Nhoods_{sex}.rds: Seurat object subsampled for the cells in neighborhoods labeled as CD14 Monocytes (Figure 2f)05_SO_CD5_Bcells_Nhoods_M.rds: Seurat object subsampled for the cells in neighborhoods labeled as CD5+ B cells in males (Figure 2g)06_SO_GZMB_CD8TEM_Nhoods_F.rds: Seurat object subsampled for the cells in neighborhoods labeled as GZMB+ CD8 TEM cells in females (Figure 2d-e)07_Expression_LOESS_{sex}.rds: Normalized expression matrix from non-linear age-DEGs (Figure 3f)08_Cluster_Loess_expression_{sex}.rds: Clusering of normalized gene expression from non-linear age-DEGs (Figure 3f)09_SO_CD4TCM_Nhoods_F.rds: Seurat object subsampled for the cells in neighborhoods labeled as CD4 TCM cells in females (Figure 4c) Supplementary tables TableS1_CellTypeNames.xlsx: Supplementary table listing immune cell type abbreviations and marker genes used for cell type classification.TableS2_CellDynamics.xlsx: Supplementary tables providing supporting results for Figure 1 and Extended Data Figure 1, including cell type abundance and age-associated dynamics.TableS3_DifferentialAbundance.xlsx Supplementary tables providing supporting results for Figure 2 and Extended Data Figure 2, including neighborhood-level differential abundance analyses.TableS4_DifferentialExpression_linear.xlsx: Supplementary tables providing supporting results for Figure 3 and Extended Data Figures 3 and 4, including sex-stratified differential gene expression analyses.TableS5_DifferentialExpression_non_linear.xlsx: Supplementary tables providing supporting results for Figure 3 and Extended Data Figure 5, including non-linear age-associated differential gene expression analyses.TableS6_DiseaseCharacterization.xlsx: Supplementary tables providing supporting results for Figure 6, including disease enrichment and characterization analyses.TableS7_Milo_subsamplings.xlsx: Supplementary tables providing supporting results for Extended Data Figure 7, including results from Milo downsampling and robustness analyses.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.14035324
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Single-cell atlas of the human immune system reveals sex-specific dynamics of immunosenescence

Zenodo (CERN European Organization for Nuclear Research)
Single-cell and spatial transcriptomics
article

Single-cell atlas of the human immune system reveals sex-specific dynamics of immunosenescence

article en

Abstract

Output data and supplementary tables from "Sopena-Rios, M., Ripoll-Cladellas, A. et al. Single-cell analysis of the human immune system reveals sex-specific dynamics of immunosenescence. Nat. Aging (2026). https://doi.org/10.1038/s43587-026-01099-x" Source Data 01_celltype_proportions_{sex}.rds: Cell type proportions computed at donor level used to run age-compositional analysis (Figure 1e)02_MiloObject_Preprocessed_{sex}.rds: KNN graph for the differential abundance analysis with Milo (Figure 2a-b)03_Nhood-cell_id_${sex}.rds: Correspondence of each individual cell to a Milo neighborhood (Figure 2a-b)04_SO_CD14_Mono_Nhoods_{sex}.rds: Seurat object subsampled for the cells in neighborhoods labeled as CD14 Monocytes (Figure 2f)05_SO_CD5_Bcells_Nhoods_M.rds: Seurat object subsampled for the cells in neighborhoods labeled as CD5+ B cells in males (Figure 2g)06_SO_GZMB_CD8TEM_Nhoods_F.rds: Seurat object subsampled for the cells in neighborhoods labeled as GZMB+ CD8 TEM cells in females (Figure 2d-e)07_Expression_LOESS_{sex}.rds: Normalized expression matrix from non-linear age-DEGs (Figure 3f)08_Cluster_Loess_expression_{sex}.rds: Clusering of normalized gene expression from non-linear age-DEGs (Figure 3f)09_SO_CD4TCM_Nhoods_F.rds: Seurat object subsampled for the cells in neighborhoods labeled as CD4 TCM cells in females (Figure 4c) Supplementary tables TableS1_CellTypeNames.xlsx: Supplementary table listing immune cell type abbreviations and marker genes used for cell type classification.TableS2_CellDynamics.xlsx: Supplementary tables providing supporting results for Figure 1 and Extended Data Figure 1, including cell type abundance and age-associated dynamics.TableS3_DifferentialAbundance.xlsx Supplementary tables providing supporting results for Figure 2 and Extended Data Figure 2, including neighborhood-level differential abundance analyses.TableS4_DifferentialExpression_linear.xlsx: Supplementary tables providing supporting results for Figure 3 and Extended Data Figures 3 and 4, including sex-stratified differential gene expression analyses.TableS5_DifferentialExpression_non_linear.xlsx: Supplementary tables providing supporting results for Figure 3 and Extended Data Figure 5, including non-linear age-associated differential gene expression analyses.TableS6_DiseaseCharacterization.xlsx: Supplementary tables providing supporting results for Figure 6, including disease enrichment and characterization analyses.TableS7_Milo_subsamplings.xlsx: Supplementary tables providing supporting results for Extended Data Figure 7, including results from Milo downsampling and robustness analyses.

Zenodo (CERN European Organization for Nuclear Research)
Brigham and Women's Hospital (US), University Medical Center Groningen (NL), Harvard University (US), Garvan Institute of Medical Research (AU), University of Groningen (NL), Barcelona Supercomputing Center (ES), UNSW Sydney (AU), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 100%
Single-cell and spatial transcriptomics
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