bioRxiv · 10.1101/2025.08.03.667702
Fetal signatures in the 3D genome of iPSC-derived neurons: implications for disease modeling
Abstract
Induced pluripotent stem cells (iPSCs) have revolutionized neuroscience, providing an approach to generate patient-specific neurons for modeling of neurological diseases. However, it remains unclear how closely iPSC-derived neurons replicate the chromatin architecture of authentic brain neurons. Here, we uniformly process datasets for 228 human and 89 mouse Hi-C and Snm3C-seq samples of different cell subtypes merged into 96 high-coverage contact maps used to examine chromatin features ranging from chromatin compartments and topologically associating domains (TADs) to chromatin loops, Polycomb-mediated contacts, and frequently interacting regions (FIREs). We find that iPSC-derived neurons largely retain chromatin state of undifferentiated cells and resemble fetal rather than mature neurons. iPSC-derived neurons exhibit unusually strong compartmentalization, an enrichment of developmental genes at TAD borders, and a marked reduction of long-range repressive Polycomb-mediated contacts that typically silence early fetal programs. Although immature, iPSC-derived neurons offer advantages for modeling interactions between disease-associated SNPs and target genes, as many psychiatric disorders have neurodevelopmental origins. Integrating iPSC-derived and postmortem neuronal datasets therefore provides complementary insights into the chromatin landscape underlying disease-associated interactions. Our study offers a valuable Hi-C resource for the community and provides a detailed comparison of chromatin architecture throughout neuronal maturation, underscoring its importance for validating neuronal models and providing a robust framework for future studies.
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Zagirova, D. R., Kononkova, A. D., Morozov, K. V., Molodova, M. N., Vaulin, N. S., Dudkovskaia, A. V., Dozorova, P. I., Efimova, O. I., Tvorogova, A. V., Ulianov, K. A., Khaitovich, P. E., Razin, S. V., Lagarkova, M. A., Ulianov, S. V., Khrameeva, E. E.. 2025-08-03. Fetal signatures in the 3D genome of iPSC-derived neurons: implications for disease modeling. https://doi.org/10.1101/2025.08.03.667702
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