ABSTRACT Point mutations and structural variants directly disrupting the coding sequence of MEF2C have been associated with a spectrum of neurodevelopmental disorders (NDDs), while recent studies have also implicated altered noncoding regulation of MEF2C expression in NDDs. However, the impact of haploinsufficiency of MEF2C on neurodevelopmental pathways and synaptic processes is not well understood, nor are the complex mechanisms that govern regulation of MEF2C . To explore the transcriptional and functional changes associated with coding and noncoding structural variants, we generated an allelic series of 204 isogenic iPSC-derived neuronal cell lines harboring CRISPR-engineered mutations that directly delete predominant isoforms of MEF2C , as well as deletions to the boundaries of topologically associating domains (TADs) and chromatin loops encompassing MEF2C . We then performed systematic profiling of mutation-specific alterations to transcriptional signatures, regulatory interactions, chromatin contacts, and electrophysiological effects. Our analyses reveal that direct deletion of MEF2C causes differential expression of genes enriched for neurodevelopmental and synaptic-associated pathways, accompanied by a significant reduction in synaptic firing and synchrony in neurons. By contrast, we observe robust buffering against MEF2C regulatory disruption upon deletion of a distal 5q14.3 TAD and loop boundary; however, homozygous loss of proximal loop boundary resulted in significant down-regulation of MEF2C expression and significantly reduced electrophysiological activity that was comparable to direct MEF2C disruption. Collectively, our findings demonstrate the functional impact of MEF2C haploinsufficiency in human-derived neural models and highlight the complex interactions of gene regulation and chromatin topology that challenge a priori regulatory predictions of structural variant disruption to three-dimensional genome organization.

Transcriptional and functional consequences of alterations to MEF2C and its topological organization in neuronal models