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.

JCI Insight
|June 21, 2019
PubMed

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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