Spatial transcriptomics in health and disease

dc.contributor.authorJain, Sanjay
dc.contributor.authorEadon, Michael T.
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2025-05-16T12:14:42Z
dc.date.available2025-05-16T12:14:42Z
dc.date.issued2024
dc.description.abstractThe 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.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationJain S, Eadon MT. Spatial transcriptomics in health and disease. Nat Rev Nephrol. 2024;20(10):659-671. doi:10.1038/s41581-024-00841-1
dc.identifier.urihttps://hdl.handle.net/1805/48194
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/s41581-024-00841-1
dc.relation.journalNature Reviews: Nephrology
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectGene expression profiling
dc.subjectKidney diseases
dc.subjectProteomics
dc.subjectSingle-cell analysis
dc.subjectTranscriptome
dc.titleSpatial transcriptomics in health and disease
dc.typeArticle
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