scRNA-seq

The Blueprint for Causal Biology: CROP-seq Links Gene to Function at Scale

Datlinger et al. introduce CROP-seq, a method that captures both a CRISPR guide RNA and its resulting single-cell transcriptome, enabling causal gene function mapping at unprecedented scale.

Perturb-Seq: Moving from 'What Is' to 'What If' in a Single Experiment

Perturb-seq combines pooled CRISPR screens with single-cell transcriptomics to systematically link genetic perturbations to their complex molecular phenotypes at scale.

Busting the Myth of the scRNA-seq "Dropout"

This analysis elegantly demonstrates that the high number of zeros in droplet-based scRNA-seq is not a technical artifact but is well-explained by standard count statistics, implying "excess" zeros are biological.