Research application

Molecular & integrative analysis

Immunometabolism

Immunometabolism

Research analysis of immune-cell metabolic programmes, integration of measured metabolites and associations with cellular states. Scope is agreed after reviewing laboratory-generated data, study design and feasibility.

Cell programmeMetabolitesMeasured function
Illustrative schematic — not experimental data

Analyses are tailored to your experimental design, data quality and research question. The workflow and deliverables are agreed following project review.

Analysis modules

Assay review: assess compatible cell, transcript and metabolite measurements.

Metabolic programmes: summarize transcriptional pathways with cell-state context.

Measured metabolites: compare available metabolite or functional measurements.

Multi-assay integration: assess associations between metabolic measures and cellular states.

Interpretation review: separate transcript scores from direct metabolic flux measurements.

Data and metadata

Transcriptomics plus metabolomics or functional metabolic measurements when available. 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

Pathway/metabolite comparisons and integrated figures. Proposed outputs include documented methods, quality-control summaries and explicit limitations; deliverables are tailored after review.

Interpretation and feasibility

Transcript scores are not direct metabolic flux measurements.

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.

Immune evasion through mitochondrial transfer in the tumour microenvironment (Nature 2025). Research context linking metabolic processes and immune states.

clusterProfiler 4.0 (The Innovation 2021). Functional enrichment and pathway interpretation.

Spatial transcriptomics reveals tryptophan metabolism restricting maturation of intratumoral tertiary lymphoid structures (Cancer Cell 2025). Research application: connects a tryptophan-metabolism programme with spatial TLS maturation; expression alone does not measure metabolic flux.

A versatile CRISPR-Cas13d platform for multiplexed transcriptomic regulation and metabolic engineering in primary human T cells (Cell 2024). Research application: links metabolic-gene perturbations to T-cell phenotypes and functional measurements.