ArticleJCI insight2019
Development of a 2-dimensional atlas of the human kidney with imaging mass cytometry.
Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
33 citing papers in PubMed, 50 citations in OpenAlex.
- Next-generation kidney tissue analysis - spatial omics and digital pathology.Nature reviews. Nephrology · 2026Review
- Spatial analysis reveals cellular microenvironments and mechanisms of inflammation and injury in acute interstitial nephritis.Nature communications · 2026Article
- Unveiling the immune landscape and microenvironmental architecture of IgA nephropathy using single-cell imaging mass cytometry.Clinical & translational immunology · 2026Article
- Article
- Adding insult to injury: the spectrum of tubulointerstitial responses in acute kidney injury.The Journal of clinical investigation · 2025Review
- Single-Cell Analysis Provides New Insights into the Roles of Tertiary Lymphoid Structures and Immune Cell Infiltration in Kidney Injury and Chronic Kidney Disease.The American journal of pathology · 2025Review
- Article
- IDOTransplantation direct · 2024Article
- Rationale and Design of a Phase 2, Double-blind, Placebo-Controlled, Randomized Trial Evaluating AMP Kinase-Activation by Metformin in Focal Segmental Glomerulosclerosis.Kidney international reports · 2024Article
- Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024Article
- An end-to-end workflow for multiplexed image processing and analysis.Nature protocols · 2023Review
- Mass spectrometry-based proteomics for advancing solid organ transplantation research.Frontiers in transplantation · 2023Review
- Revisiting transplant immunology through the lens of single-cell technologies.Seminars in immunopathology · 2023Review
- T Cells Contribute to Pathological Responses in the Non-Targeted Rat Heart following Irradiation of the Kidneys.Toxics · 2022Article
- Facets of ICP-MS and their potential in the medical sciences-Part 2: nanomedicine, immunochemistry, mass cytometry, and bioassays.Analytical and bioanalytical chemistry · 2022Review
- Immune-mediated tubule atrophy promotes acute kidney injury to chronic kidney disease transition.Nature communications · 2022Article
- Immuno Tomography (IT) and Imaging Mass Cytometry (IMC) for constructing spatially resolved, multiplexed 3D IMC data sets.The ocular surface · 2022Article
- FTO-mediated mClinical and translational medicine · 2022Article
- Cellular and molecular interrogation of kidney biopsy specimens.Current opinion in nephrology and hypertension · 2022Review
- Advances in mass cytometry and its applicability to digital pathology in clinical-translational cancer research.Advances in laboratory medicine · 2022Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
An incomplete understanding of the biology of the human kidney, including the relative abundances of and interactions between intrinsic and immune cells, has long constrained the development of therapies for kidney disease. The small amount of tissue obtained by renal biopsy has previously limited the ability to use patient samples for discovery purposes. Imaging mass cytometry (IMC) is an ideal technology for quantitative interrogation of scarce samples, permitting concurrent analysis of more than 40 markers on a single tissue section. Using a validated panel of metal-conjugated antibodies designed to confer unique signatures on the structural and infiltrating cells comprising the human kidney, we performed simultaneous multiplexed imaging with IMC in 23 channels on 16 histopathologically normal human samples. We devised a machine-learning pipeline (Kidney-MAPPS) to perform single-cell segmentation, phenotyping, and quantification, thus creating a spatially preserved quantitative atlas of the normal human kidney. These data define selected baseline renal cell types, respective numbers, organization, and variability. We demonstrate the utility of IMC coupled to Kidney-MAPPS to qualitatively and quantitatively distinguish individual cell types and reveal expected as well as potentially novel abnormalities in diseased versus normal tissue. Our studies define a critical baseline data set for future quantitative analysis of human kidney disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.