Anjali Chawla, Doruk Cakmakci, Laura M. Fiori, Wenmin Zang, Malosree Maitra, Jennie Yang, Dariusz Żurawek, Gabriella Frosi, Reza Rahimian, Haruka Mitsuhashi, Maria Antonietta Davoli, Ryan Denniston, Gary Gang Chen, Volodymyr Yerko, Deborah Mash, Kiran Girdhar, Schahram Akbarian, Naguib Mechawar, Matthew Suderman, Yue Li, Corina Nagy, Gustavo Turecki
{"title":"单核染色质可及性分析鉴定导致重度抑郁症的细胞类型和功能变异","authors":"Anjali Chawla, Doruk Cakmakci, Laura M. Fiori, Wenmin Zang, Malosree Maitra, Jennie Yang, Dariusz Żurawek, Gabriella Frosi, Reza Rahimian, Haruka Mitsuhashi, Maria Antonietta Davoli, Ryan Denniston, Gary Gang Chen, Volodymyr Yerko, Deborah Mash, Kiran Girdhar, Schahram Akbarian, Naguib Mechawar, Matthew Suderman, Yue Li, Corina Nagy, Gustavo Turecki","doi":"10.1038/s41588-025-02249-4","DOIUrl":null,"url":null,"abstract":"Genetic variants associated with major depressive disorder (MDD) are enriched in the regulatory genome. Here, we investigate gene-regulatory mechanisms underlying MDD compared to neurotypical controls by combining single-cell chromatin accessibility with gene expression in over 200,000 cells from the dorsolateral prefrontal cortex of 84 individuals. MDD-associated alterations in chromatin accessibility were prominent in deep-layer excitatory neurons characterized by transcription factor (TF) motif accessibility and binding of NR4A2, an activity-dependent TF reactive to stress. The same neurons were enriched for MDD-associated genetic variants, disrupting TF binding sites linked to genes that likely affect synaptic communication. Furthermore, a gray matter microglia cluster exhibited decreased accessibility in individuals with MDD at binding sites bound by TFs known to regulate immune homeostasis. Finally, we identified gene-regulatory effects of MDD-risk variants using sequence-based accessibility predictions, donor-specific genotypes and cell-based assays. These findings shed light on the cell types and regulatory mechanisms through which genetic variation may increase the risk of MDD. Integration of snATAC-seq and snRNA-seq data from brains of individuals with major depressive disorder identifies chromatin accessibility alterations and functional enrichment of risk variants in deep-layer excitatory neurons. Gray matter microglia in these individuals show decreased accessibility at sites bound by regulators of immune homeostasis.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"57 8","pages":"1890-1904"},"PeriodicalIF":29.0000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Single-nucleus chromatin accessibility profiling identifies cell types and functional variants contributing to major depression\",\"authors\":\"Anjali Chawla, Doruk Cakmakci, Laura M. 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The same neurons were enriched for MDD-associated genetic variants, disrupting TF binding sites linked to genes that likely affect synaptic communication. Furthermore, a gray matter microglia cluster exhibited decreased accessibility in individuals with MDD at binding sites bound by TFs known to regulate immune homeostasis. Finally, we identified gene-regulatory effects of MDD-risk variants using sequence-based accessibility predictions, donor-specific genotypes and cell-based assays. These findings shed light on the cell types and regulatory mechanisms through which genetic variation may increase the risk of MDD. Integration of snATAC-seq and snRNA-seq data from brains of individuals with major depressive disorder identifies chromatin accessibility alterations and functional enrichment of risk variants in deep-layer excitatory neurons. 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Single-nucleus chromatin accessibility profiling identifies cell types and functional variants contributing to major depression
Genetic variants associated with major depressive disorder (MDD) are enriched in the regulatory genome. Here, we investigate gene-regulatory mechanisms underlying MDD compared to neurotypical controls by combining single-cell chromatin accessibility with gene expression in over 200,000 cells from the dorsolateral prefrontal cortex of 84 individuals. MDD-associated alterations in chromatin accessibility were prominent in deep-layer excitatory neurons characterized by transcription factor (TF) motif accessibility and binding of NR4A2, an activity-dependent TF reactive to stress. The same neurons were enriched for MDD-associated genetic variants, disrupting TF binding sites linked to genes that likely affect synaptic communication. Furthermore, a gray matter microglia cluster exhibited decreased accessibility in individuals with MDD at binding sites bound by TFs known to regulate immune homeostasis. Finally, we identified gene-regulatory effects of MDD-risk variants using sequence-based accessibility predictions, donor-specific genotypes and cell-based assays. These findings shed light on the cell types and regulatory mechanisms through which genetic variation may increase the risk of MDD. Integration of snATAC-seq and snRNA-seq data from brains of individuals with major depressive disorder identifies chromatin accessibility alterations and functional enrichment of risk variants in deep-layer excitatory neurons. Gray matter microglia in these individuals show decreased accessibility at sites bound by regulators of immune homeostasis.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution