Integrative chemical genetics platform identifies condensate modulators linked to neurological disorders.

Dysregulation of biomolecular condensates is implicated across multiple neurological disorders. However, approaches to systematically identify their modulators remain limited. Here, we expand the utility of MLF2 as a versatile condensate biomarker and develop CondenScreen, an integrated high-content screening and bioinformatics pipeline enabling identification of condensate modulators across chemical and genetic space. Screening 1760 bioactive compounds in a cellular DYT1 dystonia model, we validate the platform for condensate-targeted drug discovery, identifying drugs that prevent the accumulation of the MLF2 reporter into nuclear envelope condensates. In parallel, a genome-wide CRISPR/Cas9 screen correlates nuclear condensate abundance with genes implicated in microcephaly and over eight additional neurodevelopmental disorders. Machine learning and confocal imaging resolve distinct condensate phenotypes, with RNF26 deletion provoking nuclear envelope condensates that phenocopy hallmarks of torsin deficiency. Our study provides a scalable platform for identifying modulators of condensates and establishes a correlative connection between nuclear condensate accumulation and genes implicated in neurodevelopmental disorders.