ReviewFrontiers in physiology2021
Using Imaging Mass Cytometry to Define Cell Identities and Interactions in Human Tissues.
Review in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- The good, the bad, and the ugly: opportunities, challenges, and pitfalls in spatial proteomics modeling.Briefings in bioinformatics · 2026Review
- Meningeal lymphatic architecture and drainage dynamics surrounding the human middle meningeal artery.iScience · 2025Article
- A Holistic Approach to AKI: Integrating Clinical and Molecular Data in the Human Kidney.Seminars in nephrology · 2025Review
- DCLK1 isoform (DCLK1-S) as a critical player in promoting inflammation, tissue remodeling, and EMT in mouse models of colitis.PLoS pathogens · 2025Article
- Exploring new frontiers in type 1 diabetes through advanced mass-spectrometry-based molecular measurements.Trends in molecular medicine · 2024Review
- Suborgan Level Quantitation of Proteins in Tissues Delivered by Polymeric Nanocarriers.ACS nano · 2024Article
- Article
- Single nuclei transcriptomics delineates complex immune and kidney cell interactions contributing to kidney allograft fibrosis.Kidney international · 2023Article
- Navigating the cellular landscape in tissue: Recent advances in defining the pathogenesis of human disease.Computational and structural biotechnology journal · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
In the evolving landscape of highly multiplexed imaging techniques that can be applied to study complex cellular microenvironments, this review characterizes the use of imaging mass cytometry (IMC) to study the human kidney. We provide technical details for antibody validation, cell segmentation, and data analysis specifically tailored to human kidney samples, and elaborate on phenotyping of kidney cell types and novel insights that IMC can provide regarding pathophysiological processes in the injured or diseased kidney. This review will provide the reader with the necessary background to understand both the power and the limitations of IMC and thus support better perception of how IMC analysis can improve our understanding of human disease pathogenesis and can be integrated with other technologies such as single cell sequencing and proteomics to provide spatial context to cellular data.
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What OpenQuestion holds
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.