Sevtap A Yasinoglu,Claudio Novella-Rausell,Lisanne E Wisse,Kyra L Dijkstra,Ahmed Mahfouz,Hans J Baelde,Dorien J M Peters
{"title":"空间转录组学揭示了多囊肾病囊肿微环境中的损伤细胞、特征基因和通讯模式。","authors":"Sevtap A Yasinoglu,Claudio Novella-Rausell,Lisanne E Wisse,Kyra L Dijkstra,Ahmed Mahfouz,Hans J Baelde,Dorien J M Peters","doi":"10.1681/asn.0000000894","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nChanges in the cyst microenvironment in Polycystic Kidney Disease (PKD) may drive progressive cyst formation. Bulk- and single-cell RNA sequencing have advanced our understanding of altered signaling; however, the lack of spatial information has limited our insights into local gene expression and cellular communication near cysts.\r\n\r\nMETHODS\r\nWe used wild-type and Pkd1-deficient mouse kidneys to generate 10x Genomics Visium Spatial Gene Expression datasets. Utilizing our single-cell mouse kidney atlas and single cell sequencing data for spot deconvolution, we enhanced resolution and estimated enriched cell types. We analyzed spatial gene expression patterns and used a cyst-centered analysis to identify cyst-associated gene signature. Cell communication near cysts was investigated, identifying key ligand-receptors. Prioritized key factors were validated in tissues.\r\n\r\nRESULTS\r\nWe observed enrichment of fibroblasts, injury-repair-related cell types, and diverse immune populations in PKD. Injury-repair-related cells were exclusively observed in PKD, predominantly localized within immune cell-dense regions near cysts. These cells collectively contributed to the altered gene expression profile in PKD, including cyst-associated signature genes related to inflammatory processes. Analysis of cellular communication in less-inflamed regions around cysts revealed the involvement of multiple cell types. Key ligand-receptor interactions were associated with cytokine signaling, fibrosis, cellular development, and repair. These included Angpt2, C3, Csf1, Cxcl12, Il34, Gas6, Il16, Mdk, Mif, Ptn, Sfrp2, Spp1, Sdc1, Tnc, Tnfsf12, Wnt5a. In addition, ECM proteins implicated in immune response, ECM remodeling, cell adhesion, and cell signaling were identified, such as Adam9, Adam10, Col1a1, Col3a1, Col4a2, Lamb2, Lamc1, Efnb1, Efnb2, Thbs1, Thbs2, and Vcam1. IHC confirmed expression of Syndecan-1-Collagen IV, Midkine-Integrin β1, CSF-1, Pleiotrophin, and Tenascin-C in cystic kidneys.\r\n\r\nCONCLUSIONS\r\nSpatial transcriptomics in PKD revealed enrichment of (myo)fibroblasts, immune, and injury-repair-related cells near cysts, creating a (pro)inflammatory and (pro)fibrotic niche. Key ligand-receptor and ECM interactions were identified and validated.","PeriodicalId":17217,"journal":{"name":"Journal of The American Society of Nephrology","volume":"114 1","pages":""},"PeriodicalIF":9.4000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial Transcriptomics Reveals Injured Cells, Signature Genes, and Communication Patterns in the Cyst Microenvironment of Polycystic Kidney Disease.\",\"authors\":\"Sevtap A Yasinoglu,Claudio Novella-Rausell,Lisanne E Wisse,Kyra L Dijkstra,Ahmed Mahfouz,Hans J Baelde,Dorien J M Peters\",\"doi\":\"10.1681/asn.0000000894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nChanges in the cyst microenvironment in Polycystic Kidney Disease (PKD) may drive progressive cyst formation. Bulk- and single-cell RNA sequencing have advanced our understanding of altered signaling; however, the lack of spatial information has limited our insights into local gene expression and cellular communication near cysts.\\r\\n\\r\\nMETHODS\\r\\nWe used wild-type and Pkd1-deficient mouse kidneys to generate 10x Genomics Visium Spatial Gene Expression datasets. Utilizing our single-cell mouse kidney atlas and single cell sequencing data for spot deconvolution, we enhanced resolution and estimated enriched cell types. We analyzed spatial gene expression patterns and used a cyst-centered analysis to identify cyst-associated gene signature. Cell communication near cysts was investigated, identifying key ligand-receptors. Prioritized key factors were validated in tissues.\\r\\n\\r\\nRESULTS\\r\\nWe observed enrichment of fibroblasts, injury-repair-related cell types, and diverse immune populations in PKD. Injury-repair-related cells were exclusively observed in PKD, predominantly localized within immune cell-dense regions near cysts. These cells collectively contributed to the altered gene expression profile in PKD, including cyst-associated signature genes related to inflammatory processes. Analysis of cellular communication in less-inflamed regions around cysts revealed the involvement of multiple cell types. Key ligand-receptor interactions were associated with cytokine signaling, fibrosis, cellular development, and repair. These included Angpt2, C3, Csf1, Cxcl12, Il34, Gas6, Il16, Mdk, Mif, Ptn, Sfrp2, Spp1, Sdc1, Tnc, Tnfsf12, Wnt5a. In addition, ECM proteins implicated in immune response, ECM remodeling, cell adhesion, and cell signaling were identified, such as Adam9, Adam10, Col1a1, Col3a1, Col4a2, Lamb2, Lamc1, Efnb1, Efnb2, Thbs1, Thbs2, and Vcam1. IHC confirmed expression of Syndecan-1-Collagen IV, Midkine-Integrin β1, CSF-1, Pleiotrophin, and Tenascin-C in cystic kidneys.\\r\\n\\r\\nCONCLUSIONS\\r\\nSpatial transcriptomics in PKD revealed enrichment of (myo)fibroblasts, immune, and injury-repair-related cells near cysts, creating a (pro)inflammatory and (pro)fibrotic niche. Key ligand-receptor and ECM interactions were identified and validated.\",\"PeriodicalId\":17217,\"journal\":{\"name\":\"Journal of The American Society of Nephrology\",\"volume\":\"114 1\",\"pages\":\"\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The American Society of Nephrology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1681/asn.0000000894\",\"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":"Journal of The American Society of Nephrology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1681/asn.0000000894","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
Spatial Transcriptomics Reveals Injured Cells, Signature Genes, and Communication Patterns in the Cyst Microenvironment of Polycystic Kidney Disease.
BACKGROUND
Changes in the cyst microenvironment in Polycystic Kidney Disease (PKD) may drive progressive cyst formation. Bulk- and single-cell RNA sequencing have advanced our understanding of altered signaling; however, the lack of spatial information has limited our insights into local gene expression and cellular communication near cysts.
METHODS
We used wild-type and Pkd1-deficient mouse kidneys to generate 10x Genomics Visium Spatial Gene Expression datasets. Utilizing our single-cell mouse kidney atlas and single cell sequencing data for spot deconvolution, we enhanced resolution and estimated enriched cell types. We analyzed spatial gene expression patterns and used a cyst-centered analysis to identify cyst-associated gene signature. Cell communication near cysts was investigated, identifying key ligand-receptors. Prioritized key factors were validated in tissues.
RESULTS
We observed enrichment of fibroblasts, injury-repair-related cell types, and diverse immune populations in PKD. Injury-repair-related cells were exclusively observed in PKD, predominantly localized within immune cell-dense regions near cysts. These cells collectively contributed to the altered gene expression profile in PKD, including cyst-associated signature genes related to inflammatory processes. Analysis of cellular communication in less-inflamed regions around cysts revealed the involvement of multiple cell types. Key ligand-receptor interactions were associated with cytokine signaling, fibrosis, cellular development, and repair. These included Angpt2, C3, Csf1, Cxcl12, Il34, Gas6, Il16, Mdk, Mif, Ptn, Sfrp2, Spp1, Sdc1, Tnc, Tnfsf12, Wnt5a. In addition, ECM proteins implicated in immune response, ECM remodeling, cell adhesion, and cell signaling were identified, such as Adam9, Adam10, Col1a1, Col3a1, Col4a2, Lamb2, Lamc1, Efnb1, Efnb2, Thbs1, Thbs2, and Vcam1. IHC confirmed expression of Syndecan-1-Collagen IV, Midkine-Integrin β1, CSF-1, Pleiotrophin, and Tenascin-C in cystic kidneys.
CONCLUSIONS
Spatial transcriptomics in PKD revealed enrichment of (myo)fibroblasts, immune, and injury-repair-related cells near cysts, creating a (pro)inflammatory and (pro)fibrotic niche. Key ligand-receptor and ECM interactions were identified and validated.
期刊介绍:
The Journal of the American Society of Nephrology (JASN) stands as the preeminent kidney journal globally, offering an exceptional synthesis of cutting-edge basic research, clinical epidemiology, meta-analysis, and relevant editorial content. Representing a comprehensive resource, JASN encompasses clinical research, editorials distilling key findings, perspectives, and timely reviews.
Editorials are skillfully crafted to elucidate the essential insights of the parent article, while JASN actively encourages the submission of Letters to the Editor discussing recently published articles. The reviews featured in JASN are consistently erudite and comprehensive, providing thorough coverage of respective fields. Since its inception in July 1990, JASN has been a monthly publication.
JASN publishes original research reports and editorial content across a spectrum of basic and clinical science relevant to the broad discipline of nephrology. Topics covered include renal cell biology, developmental biology of the kidney, genetics of kidney disease, cell and transport physiology, hemodynamics and vascular regulation, mechanisms of blood pressure regulation, renal immunology, kidney pathology, pathophysiology of kidney diseases, nephrolithiasis, clinical nephrology (including dialysis and transplantation), and hypertension. Furthermore, articles addressing healthcare policy and care delivery issues relevant to nephrology are warmly welcomed.