Research application
Transcriptomics & spatial biology
Research analysis of macrophage/monocyte/neutrophil states, tissue comparisons, inflammatory programmes and spatial relationships to lymphocytes. 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
Reference review: confirm compatible species, tissue and capture protocol.
Myeloid annotation: resolve macrophage, monocyte and neutrophil states without binary M1/M2 labels.
Inflammatory programmes: compare supported signatures across conditions.
Tissue comparisons: assess sampling, dissociation and granulocyte capture biases.
Spatial relationships: map compatible myeloid–lymphocyte neighbourhoods.
Data and metadata
ScRNA, cytometry or spatial profiles with compatible reference species/tissue. 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
Annotations, programme scores and comparative maps. Proposed outputs include documented methods, quality-control summaries and explicit limitations; deliverables are tailored after review.
Interpretation and feasibility
Avoid binary M1/M2 oversimplification; account for dissociation and granulocyte capture bias.
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.
Architecture of the neutrophil compartment (Nature, online 2025 / volume 2026). Mouse atlas: species and capture context matter.
Pan-cancer macrophage atlas (Nature Communications 2024). Macrophage state diversity across tumour contexts.
CXCL9:SPP1 macrophage polarity identifies a network of cellular programs that control human cancers (Science 2023). Research application: resolves CXCL9/SPP1 macrophage programmes and spatial associations beyond a binary M1/M2 classification.
Tissue-resident FOLR2+ macrophages associate with CD8+ T cell infiltration in human breast cancer (Cell 2022). Research application: combines macrophage-state annotation with tissue location and CD8 T-cell associations in breast cancer.
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