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Spatial transcriptomics defines injury specific microenvironments and cellular interactions in kidney regeneration and disease

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DataONE2024-09-06 更新2025-08-23 收录
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Kidney injury disrupts the intricate renal architecture and triggers limited regeneration, and injury-invoked inflammation and fibrosis. Deciphering molecular pathways and cellular interactions driving these processes is challenging due to the complex renal architecture. Here, we apply single cell spatial transcriptomics to examine ischemia-reperfusion injury in the mouse kidney. Spatial transcriptomics reveals injury-specific and spatially-dependent gene expression patterns in distinct cellular microenvironments within the kidney and predicts Clcf1-Crfl1 in a molecular interplay between persistently injured proximal tubule cells and neighboring fibroblasts. Immune cell types play a critical role in organ repair. Spatial analysis reveals cellular microenvironments resembling early tertiary lymphoid structures and identifies associated molecular pathways. Collectively, this study supports a focus on molecular interactions in cellular microenvironments to enhance understanding of injury, ..., , , # Spatial transcriptomics defines injury-specific microenvironments in the adult mouse kidney and novel cellular interactions in regeneration and disease [https://doi.org/10.5061/dryad.bnzs7h4hj](https://doi.org/10.5061/dryad.bnzs7h4hj) This dataset contains processed RDS object used to generate the figures in the manuscript as well as the metadata, raw gene counts and cell locations in csv format. ## **Description of the data and file structure:** '**AKI_Ctrl_object.rds'** : This file contains the .Rds object which has been processed by Suerat as described in the manuscript. * ‘CellID’: Unique identifier for each cell in the dataset ordered as [sampleID]_[Position in Sample]_cell_[numerical ID] * ‘orig.ident’: Original ID for each sample * 'SampleID': Identifier of each samle (3 control mice and 3 mice which undewent IRI treatment as detailed in the manuscript) * ‘nCount_Spatial’: Total number of RNA transcripts detected in each cell for the Spatial assay * 'nFeature_Spatial': Tot...
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2025-08-04
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