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Biology subjects

Molodova, M. N.

Publications and source records attributed to Molodova, M. N..

3 recordsLinked to original sources

Accelerated Aging Signatures in 3D Genome Organization and Transcriptome in Schizophrenia

Schizophrenia is a severe neuropsychiatric disorder that affects the behavioral, emotional and cognitive state of patients. Despite its substantial heritability, the molecular etiology of the disease remains poorly understood. Many schizophrenia-associated genetic variants reside in non-coding regions, and exert their effects through distal regulatory elements of the genome. In this context, the three-dimensional organization of the genome is expected to play a decisive role in establishing contacts between these regulatory elements and their target genes, thereby mediating schizophrenia-associated dysregulation of gene expression. Here, we present a novel Hi-C dataset providing an unprecedented view of three-dimensional genome organization in post-mortem schizophrenia brain samples. Our findings indicate that most changes occur at long-range genomic distances while local architecture of topologically-associated domains remains largely intact. However, neurons display localized and functionally relevant loop differences, particularly in regulatory regions associated with neurodevelopmental processes. Global characteristics of higher-order chromatin organization show accelerated aging alteration pattern in schizophrenia, and downstream analysis of transcriptomic data in schizophrenia brain samples further confirms that schizophrenia is associated with accelerated aging.

bioinformatics↗

Ultra-long-range Polycomb-coupled interactions underlie subtype identity of human cortical neurons

Regulation of gene expression by Polycomb group (PcG) proteins orchestrates neural development and cell-type specification. However, the mechanisms by which neural progenitor cells diversify into the myriad cell types of the human brain remain poorly understood. Here, we investigate the role of Polycomb pro-teins in shaping the single-cell 3D genome, transcriptome, and chromatin binding landscape of the developing and adult human cortex. We show that PcG proteins establish a network of long-range repressive interactions encompassing loci with neuronal marker genes. These interactions occur in a neuron-type-dependent manner, selectively targeting genes that must remain silenced in a given cell type. These interactions are present in fetal neurons and increase markedly in strength after birth. Our results highlight PcG proteins as key regulators of neuronal cell fate specification in the human brain.

genomics↗

Fetal signatures in the 3D genome of iPSC-derived neurons: implications for disease modeling

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.

genomics↗