Siqi Chen, Ruiyang Liu, Chia-Kuei Mo, Michael C. Wendl, Andrew Houston, Preet Lal, Yanyan Zhao, Wagma Caravan, Andrew T. Shinkle, Atieh Abedin-Do, Nataly Naser Al Deen, Kazuhito Sato, Xiang Li, André Luiz N. Targino da Costa, Yize Li, Alla Karpova, John M. Herndon, Maxim N. Artyomov, Joshua B. Rubin, Sanjay Jain, Xue Li, Sheila A. Stewart, Li Ding, Feng Chen
{"title":"小鼠肾脏的多组学和空间分析强调了基因调控在整个生命周期中的性别特异性差异","authors":"Siqi Chen, Ruiyang Liu, Chia-Kuei Mo, Michael C. Wendl, Andrew Houston, Preet Lal, Yanyan Zhao, Wagma Caravan, Andrew T. Shinkle, Atieh Abedin-Do, Nataly Naser Al Deen, Kazuhito Sato, Xiang Li, André Luiz N. Targino da Costa, Yize Li, Alla Karpova, John M. Herndon, Maxim N. Artyomov, Joshua B. Rubin, Sanjay Jain, Xue Li, Sheila A. Stewart, Li Ding, Feng Chen","doi":"10.1038/s41588-025-02161-x","DOIUrl":null,"url":null,"abstract":"There is a sex bias in the incidence and progression of many kidney diseases. To better understand such sexual dimorphism, we integrated data from six platforms, characterizing 76 kidney samples from 68 mice at six developmental and adult time points, creating a molecular atlas of the mouse kidney across the lifespan for both sexes. We show that proximal tubules have the most sex-biased differentially expressed genes emerging after 3 weeks of age and are associated with hormonal regulations. We reveal potential mechanisms involving both direct and indirect regulation by androgens and estrogens. Spatial profiling identifies distinct sex-biased spatial patterns in the cortex and outer stripe of the outer medulla. Additionally, older mice exhibit more aging-related gene alterations in loops of Henle, proximal tubules and collecting ducts in a sex-dependent manner. Our results enhance the understanding of spatially resolved gene expression and hormone regulation underlying kidney sexual dimorphism across the lifespan. Multi-omic analysis of the developing mouse kidney shows strong sex-dependent differences in gene expression during development and aging. These differences are likely mediated by sex hormones.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"57 5","pages":"1213-1227"},"PeriodicalIF":31.7000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41588-025-02161-x.pdf","citationCount":"0","resultStr":"{\"title\":\"Multi-omic and spatial analysis of mouse kidneys highlights sex-specific differences in gene regulation across the lifespan\",\"authors\":\"Siqi Chen, Ruiyang Liu, Chia-Kuei Mo, Michael C. Wendl, Andrew Houston, Preet Lal, Yanyan Zhao, Wagma Caravan, Andrew T. Shinkle, Atieh Abedin-Do, Nataly Naser Al Deen, Kazuhito Sato, Xiang Li, André Luiz N. Targino da Costa, Yize Li, Alla Karpova, John M. Herndon, Maxim N. Artyomov, Joshua B. Rubin, Sanjay Jain, Xue Li, Sheila A. Stewart, Li Ding, Feng Chen\",\"doi\":\"10.1038/s41588-025-02161-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a sex bias in the incidence and progression of many kidney diseases. To better understand such sexual dimorphism, we integrated data from six platforms, characterizing 76 kidney samples from 68 mice at six developmental and adult time points, creating a molecular atlas of the mouse kidney across the lifespan for both sexes. We show that proximal tubules have the most sex-biased differentially expressed genes emerging after 3 weeks of age and are associated with hormonal regulations. We reveal potential mechanisms involving both direct and indirect regulation by androgens and estrogens. Spatial profiling identifies distinct sex-biased spatial patterns in the cortex and outer stripe of the outer medulla. Additionally, older mice exhibit more aging-related gene alterations in loops of Henle, proximal tubules and collecting ducts in a sex-dependent manner. Our results enhance the understanding of spatially resolved gene expression and hormone regulation underlying kidney sexual dimorphism across the lifespan. Multi-omic analysis of the developing mouse kidney shows strong sex-dependent differences in gene expression during development and aging. 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Multi-omic and spatial analysis of mouse kidneys highlights sex-specific differences in gene regulation across the lifespan
There is a sex bias in the incidence and progression of many kidney diseases. To better understand such sexual dimorphism, we integrated data from six platforms, characterizing 76 kidney samples from 68 mice at six developmental and adult time points, creating a molecular atlas of the mouse kidney across the lifespan for both sexes. We show that proximal tubules have the most sex-biased differentially expressed genes emerging after 3 weeks of age and are associated with hormonal regulations. We reveal potential mechanisms involving both direct and indirect regulation by androgens and estrogens. Spatial profiling identifies distinct sex-biased spatial patterns in the cortex and outer stripe of the outer medulla. Additionally, older mice exhibit more aging-related gene alterations in loops of Henle, proximal tubules and collecting ducts in a sex-dependent manner. Our results enhance the understanding of spatially resolved gene expression and hormone regulation underlying kidney sexual dimorphism across the lifespan. Multi-omic analysis of the developing mouse kidney shows strong sex-dependent differences in gene expression during development and aging. These differences are likely mediated by sex hormones.
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