Perturb-seq
A technology combining CRISPR gene editing with single-cell RNA sequencing that can systematically measure transcriptomic responses after perturbing thousands of genes, providing large-scale training data for perturbation response prediction models.
Timeline (last 90 days)
Typical forms of perturbation data include CRISPR knockout/knockdown/activation screens, drug treatments, and small-molecule perturbations, paired with single-cell transcriptomic readouts (such as Perturb-seq).
Techniques such as Perturb-seq combine CRISPR gene editing with single-cell sequencing, enabling systematic measurement of transcriptomic responses after thousands of gene perturbations in a single experiment.
Perturb-seq combines pooled perturbations with single-cell RNA sequencing, allowing the transcriptome-wide effects of thousands of perturbations to be read out simultaneously and building causal maps.
All Facts (3)
Typical forms of perturbation data include CRISPR knockout/knockdown/activation screens, drug treatments, and small-molecule perturbations, paired with single-cell transcriptomic readouts (such as Perturb-seq).
50%UnverifiedTechniques such as Perturb-seq combine CRISPR gene editing with single-cell sequencing, enabling systematic measurement of transcriptomic responses after thousands of gene perturbations in a single experiment.
50%UnverifiedPerturb-seq combines pooled perturbations with single-cell RNA sequencing, allowing the transcriptome-wide effects of thousands of perturbations to be read out simultaneously and building causal maps.
50%