{"title":"健康和疾病中的空间转录组学","authors":"Sanjay Jain, Michael T. Eadon","doi":"10.1038/s41581-024-00841-1","DOIUrl":null,"url":null,"abstract":"The ability to localize hundreds of macromolecules to discrete locations, structures and cell types in a tissue is a powerful approach to understand the cellular and spatial organization of an organ. Spatially resolved transcriptomic technologies enable mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. The rapid development of spatial transcriptomic technologies has accelerated the pace of discovery in several fields, including nephrology. Its application to preclinical models and human samples has provided spatial information about new cell types discovered by single-cell sequencing and new insights into the cell–cell interactions within neighbourhoods, and has improved our understanding of the changes that occur in response to injury. Integration of spatial transcriptomic technologies with other omics methods, such as proteomics and spatial epigenetics, will further facilitate the generation of comprehensive molecular atlases, and provide insights into the dynamic relationships of molecular components in homeostasis and disease. This Review provides an overview of current and emerging spatial transcriptomic methods, their applications and remaining challenges for the field. Spatially resolved transcriptomic technologies enable the mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. This Review describes current and emerging spatial transcriptomic methods, their applications of relevance to kidney biology and remaining challenges for the field.","PeriodicalId":19059,"journal":{"name":"Nature Reviews Nephrology","volume":"20 10","pages":"659-671"},"PeriodicalIF":28.6000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial transcriptomics in health and disease\",\"authors\":\"Sanjay Jain, Michael T. Eadon\",\"doi\":\"10.1038/s41581-024-00841-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ability to localize hundreds of macromolecules to discrete locations, structures and cell types in a tissue is a powerful approach to understand the cellular and spatial organization of an organ. Spatially resolved transcriptomic technologies enable mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. The rapid development of spatial transcriptomic technologies has accelerated the pace of discovery in several fields, including nephrology. Its application to preclinical models and human samples has provided spatial information about new cell types discovered by single-cell sequencing and new insights into the cell–cell interactions within neighbourhoods, and has improved our understanding of the changes that occur in response to injury. Integration of spatial transcriptomic technologies with other omics methods, such as proteomics and spatial epigenetics, will further facilitate the generation of comprehensive molecular atlases, and provide insights into the dynamic relationships of molecular components in homeostasis and disease. This Review provides an overview of current and emerging spatial transcriptomic methods, their applications and remaining challenges for the field. Spatially resolved transcriptomic technologies enable the mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. This Review describes current and emerging spatial transcriptomic methods, their applications of relevance to kidney biology and remaining challenges for the field.\",\"PeriodicalId\":19059,\"journal\":{\"name\":\"Nature Reviews Nephrology\",\"volume\":\"20 10\",\"pages\":\"659-671\"},\"PeriodicalIF\":28.6000,\"publicationDate\":\"2024-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Nephrology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s41581-024-00841-1\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Nephrology","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41581-024-00841-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
The ability to localize hundreds of macromolecules to discrete locations, structures and cell types in a tissue is a powerful approach to understand the cellular and spatial organization of an organ. Spatially resolved transcriptomic technologies enable mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. The rapid development of spatial transcriptomic technologies has accelerated the pace of discovery in several fields, including nephrology. Its application to preclinical models and human samples has provided spatial information about new cell types discovered by single-cell sequencing and new insights into the cell–cell interactions within neighbourhoods, and has improved our understanding of the changes that occur in response to injury. Integration of spatial transcriptomic technologies with other omics methods, such as proteomics and spatial epigenetics, will further facilitate the generation of comprehensive molecular atlases, and provide insights into the dynamic relationships of molecular components in homeostasis and disease. This Review provides an overview of current and emerging spatial transcriptomic methods, their applications and remaining challenges for the field. Spatially resolved transcriptomic technologies enable the mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. This Review describes current and emerging spatial transcriptomic methods, their applications of relevance to kidney biology and remaining challenges for the field.
期刊介绍:
Nature Reviews Nephrology aims to be the premier source of reviews and commentaries for the scientific communities it serves.
It strives to publish authoritative, accessible articles.
Articles are enhanced with clearly understandable figures, tables, and other display items.
Nature Reviews Nephrology publishes Research Highlights, News & Views, Comments, Reviews, Perspectives, and Consensus Statements.
The content is relevant to nephrologists and basic science researchers.
The broad scope of the journal ensures that the work reaches the widest possible audience.