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Updated: Jan 23, 2026

Whole-Kidney Three-Dimensional Staining with CUBIC
Published on: July 18, 2022
Development of a 2-dimensional atlas of the human kidney with imaging mass cytometry
Nikhil Singh1, Zachary M Avigan1, Judith A Kliegel1
1Section of Nephrology, Department of Internal Medicine.
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.
Insights
Researchers created a detailed map of normal human kidney cells using imaging mass cytometry (IMC). This atlas helps identify cell types and their interactions, crucial for understanding kidney disease and developing new therapies.
Area of Science:
- Nephrology
- Immunology
- Biotechnology
Background:
- Understanding human kidney cell composition and interactions is limited, hindering kidney disease therapy development.
- Limited tissue from renal biopsies restricts discovery using patient samples.
- Imaging mass cytometry (IMC) enables quantitative analysis of scarce samples by analyzing over 40 markers per section.
Purpose of the Study:
- To create a spatially preserved, quantitative atlas of the normal human kidney.
- To define baseline renal cell types, numbers, organization, and variability.
- To demonstrate IMC and machine learning's utility in analyzing kidney tissue.
Main Methods:
- Utilized a validated panel of metal-conjugated antibodies for IMC analysis of 16 normal human kidney samples.
- Employed a machine-learning pipeline (Kidney-MAPPS) for single-cell segmentation, phenotyping, and quantification.
- Performed multiplexed imaging using IMC in 23 channels.
Main Results:
- Generated a quantitative atlas of normal human kidney cells, detailing cell types, numbers, and spatial organization.
- Established baseline data for normal renal cellular composition and variability.
- Showcased IMC and Kidney-MAPPS's ability to distinguish cell types and identify abnormalities in diseased versus normal tissue.
Conclusions:
- The developed atlas provides critical baseline data for quantitative analysis of human kidney disease.
- IMC coupled with Kidney-MAPPS is a powerful tool for dissecting kidney tissue composition.
- This approach facilitates the identification of cellular changes in kidney disease, paving the way for novel therapeutic strategies.
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