Research application
Transcriptomics & spatial biology
Research analysis of naive/memory balance, repertoire diversity, myeloid/inflammatory programmes and comparison with appropriate reference cohorts. Scope is agreed after reviewing laboratory-generated data, study design and feasibility.
Analyses are tailored to your experimental design, data quality and research question. The workflow and deliverables are agreed following project review.
Analysis modules
Cohort QC: assess age, treatment, exposure and reference compatibility.
Naive/memory balance: compare compatible cell annotations or measured populations.
Repertoire diversity: assess depth-sensitive diversity and clonal summaries.
Inflammatory programmes: compare myeloid and inflammatory signatures.
Adjusted comparisons: report cohort effects; exploratory scores require an explicit reference domain.
Data and metadata
ScRNA, flow, repertoire and age/treatment/exposure metadata. Include assay and processing provenance, quality-control summaries, sample identifiers without patient identifiers, species/tissue, groups, controls, batch and relevant donor/time-point metadata.
Proposed deliverables
Age-associated profiles and adjusted cohort comparisons. Proposed outputs include documented methods, quality-control summaries and explicit limitations; deliverables are tailored after review.
Interpretation and feasibility
Any exploratory immune-age scores need an explicit reference domain; no biological-age diagnosis.
Selected scientific references
Selected methodological and research references. Methods and software are chosen for each project after feasibility and licence review. Citations do not imply affiliation or validation of an ImmunLattice pipeline.
Lifespan immune atlas (Nature Immunology 2025). Reference context for immune states across age.
Single-cell immune ageing clocks (Nature Aging 2025). Exploratory scores are reference-domain dependent, not a biological-age diagnosis.
Human PBMC scRNA-seq-based aging clocks reveal ribosome to inflammation balance as a single-cell aging hallmark and super longevity (Science Advances 2023). Method and application: explores cell-type-specific ageing signals from human PBMC transcriptomes; research clocks require cohort-aware validation.
Multimodal profiling reveals tissue-directed signatures of human immune cells altered with age (Nature Immunology 2025). Research application: separates tissue context from age-associated changes using RNA and surface-protein profiling.
Comprehensive profiling of an aging immune system reveals clonal GZMK+ CD8+ T cells as conserved hallmark of inflammaging (Immunity 2021). Research application: connects clonality, chromatin and inflammatory GZMK-positive T-cell states across mouse and human data.
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