Human immunosenescence atlas
Human Immune Aging Atlas
A comprehensive multi-omics dissection of human immune aging — from single-cell transcriptomics to proteomics and metabolomics, spanning the entire human lifespan from newborns to centenarians.
Section Overview
The Aging section is LACA's human immunosenescence hub — integrating multi-omics data from thousands of donors to decode how the immune system ages.
The human immune system undergoes profound changes with age — a phenomenon known as immunosenescence. T cells lose diversity, B cells produce less effective antibodies, and chronic low-grade inflammation ("inflammaging") sets in. These changes contribute to increased susceptibility to infections, reduced vaccine efficacy, and higher rates of age-related diseases including cancer and cardiovascular conditions.
LACA's Aging section tackles this complexity head-on with a multi-omics strategy: single-cell RNA sequencing (scRNA-seq) reveals cell-type-specific transcriptomic changes; bulk RNA-seq captures tissue-level gene expression; proteomics validates at the protein level; and metabolomics measures the functional metabolic output. Together, spanning thousands of donors aged 0–100+, this layered approach provides an unprecedented systems-level view of how the human immune system ages.
All data is uniformly processed and cross-referenced with rich donor metadata including age, sex, BMI, and health status, enabling precise dissection of age effects from confounding factors.
What's Inside
Six integrated modules for exploring aging biology and data.
Aging Atlas
Multi-species aging cell atlas integrating cross-species aging signatures. Compare aging patterns across evolutionarily distant species to identify conserved hallmarks of aging at single-cell resolution.
Explore AtlasHuman Immune Aging Cohort
The flagship human immune aging dataset. Browse donor-level data including: scRNA-seq donors with UMAP visualization, bulk RNA-seq donors, metabolomics donors, multi-omics integration, and CancerSCEM analysis.
Browse CohortAging Biomarker
Curated aging biomarkers from multi-omics data. Discover age-associated genes, proteins, and metabolites. Includes epigenetic clock genes, senescence-associated secretory phenotype (SASP) markers, and immune aging signatures.
Explore BiomarkersAging Maps
Enter the dedicated aging map workspace to navigate available atlas views while keeping species, cohort, tissue, assay, and source context visible for interpretation.
Open Aging MapsHallmark
Explore the 12 hallmarks in the updated 2023 framework, organized by mechanistic layer with evidence requirements, experimental context, and interpretation limits.
Explore HallmarksClock
Compare biological-age estimands, major clock method families, representative models, data resources, and the validation checks needed before interpreting a score.
Explore Aging ClocksMulti-Omics Pipeline
Four layers of molecular profiling providing unprecedented depth.
scRNA-seq
Single-cell resolution of immune subsets — T cells, B cells, NK cells, monocytes
Bulk RNA-seq
Tissue-level transcriptome profiling capturing the averaged molecular state
Proteomics
Protein-level validation confirming transcriptomic findings at the functional level
Metabolomics
Functional metabolic output — the ultimate readout of cellular aging
How to Use This Section
A recommended exploration path through the Aging data.
Aging Atlas
Start with the Aging Atlas for a bird's-eye view of aging across species
aging-atlas.php →Donor Exploration
Dive into the Human Immune Aging Cohort for donor-level multi-omics data
human-immune-atlas.php →Molecular Signatures
Cross-reference with Aging Biomarker to identify age-associated molecular changes
aging-biomarker.php →Systems Integration
Explore Multi-Omics to connect transcriptomic, proteomic, and metabolic layers
human-immune-multiomics.php →