ArticleFrontiers in medicine2022
Spatially Resolved Transcriptomes of Mammalian Kidneys Illustrate the Molecular Complexity and Interactions of Functional Nephron Segments.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Beyond the Cell Atlas: Functional Communities as the Essential Pathologic Units Driving Kidney Disease.Journal of the American Society of Nephrology : JASN · 2026Review
- Review
- Multi-omics data integration for enhanced cancer subtyping via interactive multi-kernel learning.Briefings in bioinformatics · 2025Article
- Role of Fibroblast-Immune Crosstalk in Kidney, Lung, and Skin Tertiary Lymphoid Structures.Immunological reviews · 2025Review
- Novel insights into kidney disease: the scRNA-seq and spatial transcriptomics approaches: a literature review.BMC nephrology · 2025Review
- Blockade of mTOR ameliorates IgA nephropathy by correcting CD89 and CD71 dysfunctions in humanized mice.PloS one · 2025Article
- Spatial Transcriptomics: Integrating Morphology and Molecular Mechanisms of Kidney Diseases.The American journal of pathology · 2025Review
- Decoding Kidney Pathophysiology: Omics-Driven Approaches in Precision Medicine.Journal of personalized medicine · 2024Review
- Spatial transcriptomics in health and disease.Nature reviews. Nephrology · 2024Review
- Spatial transcriptomics in development and disease.Molecular biomedicine · 2023Review
- High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways.iScience · 2022Article
- Multi-phenotype genome-wide association studies of the Norfolk Island isolate implicate pleiotropic loci involved in chronic kidney disease.Scientific reports · 2021Article
- Principles of Spatial Transcriptomics Analysis: A Practical Walk-Through in Kidney Tissue.Frontiers in physiology · 2021Review
- Challenges and Opportunities for the Clinical Translation of Spatial Transcriptomics Technologies.Glomerular diseasesReview
Corrections and comments
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Authors and funding
18 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Available transcriptomes of the mammalian kidney provide limited information on the spatial interplay between different functional nephron structures due to the required dissociation of tissue with traditional transcriptome-based methodologies. A deeper understanding of the complexity of functional nephron structures requires a non-dissociative transcriptomics approach, such as spatial transcriptomics sequencing (ST-seq). We hypothesize that the application of ST-seq in normal mammalian kidneys will give transcriptomic insights within and across species of physiology at the functional structure level and cellular communication at the cell level. Here, we applied ST-seq in six mice and four human kidneys that were histologically absent of any overt pathology. We defined the location of specific nephron structures in the captured ST-seq datasets using three lines of evidence: pathologist's annotation, marker gene expression, and integration with public single-cell and/or single-nucleus RNA-sequencing datasets. We compared the mouse and human cortical kidney regions. In the human ST-seq datasets, we further investigated the cellular communication within glomeruli and regions of proximal tubules-peritubular capillaries by screening for co-expression of ligand-receptor gene pairs. Gene expression signatures of distinct nephron structures and microvascular regions were spatially resolved within the mouse and human ST-seq datasets. We identified 7,370 differentially expressed genes (
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