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Single-Cell Perturbation Genomics

Definition
AI-generated

Single-cell perturbation genomics measures transcriptomic (and increasingly multi-omic) responses of individual cells to deliberate perturbations—genetic (e.g. CRISPR), chemical, or cytokine stimuli—often in pooled high-throughput designs.

Topics
Single-cell analysis
URL
https://interp-extrap-perturb.readthedocs.io
Related
Causal Machine Learning for Single-Cell Genomics Gene Regulatory Network Inference In Silico Perturbation Prediction

Why it matters in GWAS

Post-GWAS prioritization benefits from causal, context-specific readouts: perturbation screens can suggest which candidate genes regulate disease-relevant programs in the cell types implicated by single-cell GWAS integration or sc-eQTL maps.

Example usage

"Functional interpretation integrated Single-Cell Perturbation Genomics evidence with GWAS signals in relevant cell states."

Causal Machine Learning for Single-Cell Genomics Gene Regulatory Network Inference In Silico Perturbation Prediction Perturb-seq Response Expression Quantitative Trait Locus (response eQTL) scPerturb Single-Cell Expression Quantitative Trait Locus (sc-eQTL) Single-Cell GWAS Integration Single-Cell Sequencing
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Dixit A, et al. (2016). Perturb-Seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell.
  • Dimitrov D, Schrod S, Rohbeck M, et al. (2026). Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00920-4
← Single-Cell GWAS Integration Single-cell reduced-representation bisulfite sequencing (scRRBS) →

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