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

Output data from "Single-cell atlas of the human immune system reveals sex-specific dynamics of immunosenescence": 01_DEA_Results: Differential expression analysis with age 02_Binomial_test_bias: Binomial test on the directionality of expression of differentially expressed genes with age 03_DEA_sharing: Cell type sharing of genes differentially expressed with age 04_DEA_Results_Replication_Oelen2022: Differential expression analyses with age in the replication dataset form Oelen et al., 2022 05_CompositonalAnalysis_CellType: Cell type compositional analysis with age 06_CellCycleInfo_Seurat: Cell cycle phase scoring using Seurat 07_CellCycleInfo_Tricycle: Cell cycle phase scoring using tricycle 08_CompositionalAnalysis_CellCycle_Seurat: Cell cycle phase compositional analysis with age form Seurat 09_CompositionalAnalysis_CellCycle_Tricycle: Cell cycle phase compositional analysis with age form Tricycle 10_DifferentialEnrichment_Quiescence_AUCell: Differential enrichment analysis from quiescence gene set from AUCell 11_DifferentialEnrichment_Senescence_AUCell: Differential enrichment analysis from senescence gene set from AUCell 12_DifferentialEnrichment_Senescence_SenCID: Differential enrichment analysis from senescence gene set from SenCID 13_CompostionalAnalysis_CellType_Replication_Oelen: Cell type compositional analysis with age in the replication dataset form Oelen et al., 2022 14_DEA_Results_Females: Differential expression analyses with age in females 15_DEA_Results_Males: Differential expression analyses with age in males 16_DEA_Results_Interaction: Differential expression analyses with the interaction of age:sex 17_CompositonalAnalysis_CellType_Females: Cell type compositional analysis with age in females 18_CompositonalAnalysis_CellType_Males: Cell type compositional analysis with age in males 19_CompositonalAnalysis_CellType_Interaction: Cell type compositional analysis with the interaction of age:sex 20_DifferentialAbundance_Females: Differential abundance analysis with age in females 21_DifferentialAbundance_Males: Differential abundance analysis with age in females 22_DifferentialAbundance_AllData_Subsampling1: Differential abundance analysis with age in a 25% random subsampling of the data 23_DifferentialAbundance_AllData_Subsampling2: Differential abundance analysis with age in a 25% random subsampling of the data 24_DifferentialAbundance_AllData_Subsampling3: Differential abundance analysis with age in a 25% random subsampling of the data 25_Nhood-cell_id_Females: Correspondence of each individual cell to a Milo neighborhood in females 26_Nhood-cell_id_Males: Correspondence of each individual cell to a Milo neighborhood in males 27_Nhood_Markers: Markers of age-enriched or age-depeleted milo nhoods in males and females 28_Enrichments_NhoodMarkers_Females: GO enrichments of markers from age-enriched neighborhoods in females 29_Enrichments_NhoodMarkers_Males: GO enrichments of markers from age-enriched neighborhoods in males 29_Enrichments_NhoodMarkers_Males: GO enrichments of markers from age-enriched neighborhoods in males 30_DEA_GZMB_Females: Differential expression analysis in CD8 TEM subpopulations in females 30_DEA_GZMB_Males: Differential expression analysis in CD8 TEM subpopulations in males 31_CompositonalAnalysis_CellType_GZMB_Females: Cell type compositional analysis with age for CD8 TEM subpopulations in females 32_CompositonalAnalysis_CellType_GZMB_Males: Cell type compositional analysis with age for CD8 TEM subpopulations in males 33_DEA_ISG_CD14_Mono_Females: Differential expression analysis with age in CD14 Mono subpopulations

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-04
DOI
https://doi.org/10.5281/zenodo.14035325
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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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 from "Single-cell atlas of the human immune system reveals sex-specific dynamics of immunosenescence": 01_DEA_Results: Differential expression analysis with age 02_Binomial_test_bias: Binomial test on the directionality of expression of differentially expressed genes with age 03_DEA_sharing: Cell type sharing of genes differentially expressed with age 04_DEA_Results_Replication_Oelen2022: Differential expression analyses with age in the replication dataset form Oelen et al., 2022 05_CompositonalAnalysis_CellType: Cell type compositional analysis with age 06_CellCycleInfo_Seurat: Cell cycle phase scoring using Seurat 07_CellCycleInfo_Tricycle: Cell cycle phase scoring using tricycle 08_CompositionalAnalysis_CellCycle_Seurat: Cell cycle phase compositional analysis with age form Seurat 09_CompositionalAnalysis_CellCycle_Tricycle: Cell cycle phase compositional analysis with age form Tricycle 10_DifferentialEnrichment_Quiescence_AUCell: Differential enrichment analysis from quiescence gene set from AUCell 11_DifferentialEnrichment_Senescence_AUCell: Differential enrichment analysis from senescence gene set from AUCell 12_DifferentialEnrichment_Senescence_SenCID: Differential enrichment analysis from senescence gene set from SenCID 13_CompostionalAnalysis_CellType_Replication_Oelen: Cell type compositional analysis with age in the replication dataset form Oelen et al., 2022 14_DEA_Results_Females: Differential expression analyses with age in females 15_DEA_Results_Males: Differential expression analyses with age in males 16_DEA_Results_Interaction: Differential expression analyses with the interaction of age:sex 17_CompositonalAnalysis_CellType_Females: Cell type compositional analysis with age in females 18_CompositonalAnalysis_CellType_Males: Cell type compositional analysis with age in males 19_CompositonalAnalysis_CellType_Interaction: Cell type compositional analysis with the interaction of age:sex 20_DifferentialAbundance_Females: Differential abundance analysis with age in females 21_DifferentialAbundance_Males: Differential abundance analysis with age in females 22_DifferentialAbundance_AllData_Subsampling1: Differential abundance analysis with age in a 25% random subsampling of the data 23_DifferentialAbundance_AllData_Subsampling2: Differential abundance analysis with age in a 25% random subsampling of the data 24_DifferentialAbundance_AllData_Subsampling3: Differential abundance analysis with age in a 25% random subsampling of the data 25_Nhood-cell_id_Females: Correspondence of each individual cell to a Milo neighborhood in females 26_Nhood-cell_id_Males: Correspondence of each individual cell to a Milo neighborhood in males 27_Nhood_Markers: Markers of age-enriched or age-depeleted milo nhoods in males and females 28_Enrichments_NhoodMarkers_Females: GO enrichments of markers from age-enriched neighborhoods in females 29_Enrichments_NhoodMarkers_Males: GO enrichments of markers from age-enriched neighborhoods in males 29_Enrichments_NhoodMarkers_Males: GO enrichments of markers from age-enriched neighborhoods in males 30_DEA_GZMB_Females: Differential expression analysis in CD8 TEM subpopulations in females 30_DEA_GZMB_Males: Differential expression analysis in CD8 TEM subpopulations in males 31_CompositonalAnalysis_CellType_GZMB_Females: Cell type compositional analysis with age for CD8 TEM subpopulations in females 32_CompositonalAnalysis_CellType_GZMB_Males: Cell type compositional analysis with age for CD8 TEM subpopulations in males 33_DEA_ISG_CD14_Mono_Females: Differential expression analysis with age in CD14 Mono subpopulations

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 63%
Single-cell and spatial transcriptomics
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