Han Zhang

This study benchmarks five loss-of-function perturbation tools for studying noncoding genome function, finding dual-SpCas9 is most effective for targeting CREs and recommending RNA interference for noncoding RNA genes.

The paper introduces an optimized PhOxi-seq workflow and bioinformatic pipeline to detect enzyme-dependent m2G modifications across multiple RNA types, generating a database of high-confidence THUMPD3-dependent m2G sites in human cancer cells.