Research application
Genomics & regulation
Research analysis of guide QC, perturbation enrichment/depletion, cell-state-specific effects, pathway and combinatorial perturbation comparisons where design supports them. 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
Guide QC: assess guide assignment, coverage and control representation.
Enrichment and depletion: compare laboratory CRISPR counts with design-appropriate contrasts.
Cell-state effects: compare perturbation-associated states in compatible Perturb-seq data.
Pathway comparisons: summarize supported programmes and effect uncertainty.
Combinatorial effects: examine interactions only with adequate controls, replication and design.
Data and metadata
Laboratory CRISPR counts or Perturb-seq with guide/donor/control annotations. 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
QC, ranked effects and uncertainty. Proposed outputs include documented methods, quality-control summaries and explicit limitations; deliverables are tailored after review.
Interpretation and feasibility
Adequate controls/replication essential; candidate mechanisms need validation.
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.
CRISPR activation screens and T-cell cytotoxicity (Nature Genetics 2026). Functional perturbation research context.
CELLFIE (Nature 2025). Research context for cellular perturbation and therapy.
Multimodal stimulation screens reveal unique and shared genes limiting T cell fitness (Cancer Cell 2024). Research application: compares CRISPR screen hits across acute, intense and chronic T-cell stimulation.
A versatile CRISPR-Cas13d platform for multiplexed transcriptomic regulation and metabolic engineering in primary human T cells (Cell 2024). Research application: links targeted transcript regulation, T-cell metabolism and functional readouts.
CRISPR activation and interference screens decode stimulation responses in primary human T cells (Science 2022). Method and application: couples CRISPR activation/interference with cytokine phenotypes and single-cell readouts in human T cells.
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq (Cell 2022). Method: provides a framework for assigning perturbations and interpreting transcriptomic phenotypes at genome scale.
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