PubMed · 42547299
Fetal signatures in the 3D genome of iPSC-derived neurons and their 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 processed newly generated Hi-C data from iPSC-derived neurons and neurons isolated from the human postmortem brain, together with previously published data sets comprising 228 human and 89 mouse Hi-C and snm3C-seq samples from different cell subtypes. These data were 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 the 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 data sets 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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Diana R Zagirova, Anna D Kononkova, Kirill V Morozov, Maria N Molodova, Nikita S Vaulin, Anastasiia V Dudkovskaia, Polina I Dozorova, Olga I Efimova, Anna V Tvorogova, Kirill A Ulianov, Philipp E Khaitovich, Sergey V Razin, Maria A Lagarkova, Sergey V Ulianov, Ekaterina E Khrameeva. 2026-09-16. Fetal signatures in the 3D genome of iPSC-derived neurons and their implications for disease modeling.. https://doi.org/10.1101/gr.281488.125
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