ArticleSTAR protocols2021
Protocol for multimodal analysis of human kidney tissue by imaging mass spectrometry and CODEX multiplexed immunofluorescence.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
16 citing papers in PubMed.
- Proteomics of highly post-translationally modified proteins in kidney tubulointerstitium.bioRxiv : the preprint server for biology · 2026Article
- MIAAIM: Multi-omics image integration with dimensional reduction for tissue state mapping.PLoS computational biology · 2026Article
- Proteoform profiling of endogenous single cells from rat hippocampus at scale.Nature biotechnology · 2026Article
- Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry.Nature reviews. Methods primers · 2026Article
- Zinc oxide nanoemulsions prevent kidney stone formation and protect renal function in rats.Scientific reports · 2025Article
- Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy.Nature communications · 2025Article
- Imaging and spatially resolved mass spectrometry applications in nephrology.Nature reviews. Nephrology · 2025Review
- Multimodal Mass Spectrometry Imaging in Atlas Building: A Review.Seminars in nephrology · 2024Review
- Advances in mass spectrometry-enabled multiomics at single-cell resolution.Current opinion in biotechnology · 2024Review
- Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP).Nature cell biology · 2023Review
- MALDI HiPLEX-IHC: multiomic and multimodal imaging of targeted intact proteins in tissues.Frontiers in chemistry · 2023Article
- Highly multiplexed, label-free proteoform imaging of tissues by individual ion mass spectrometry.Science advances · 2022Article
- Mapping the Proteoform Landscape of Five Human Tissues.Journal of proteome research · 2022Article
- Applications of spatially resolved omics in the field of endocrine tumors.Frontiers in endocrinology · 2022Review
- Uncovering Molecular Heterogeneity in the Kidney With Spatially Targeted Mass Spectrometry.Frontiers in physiology · 2022Review
- User-Accessible Machine Learning Approaches for Cell Segmentation and Analysis in Tissue.Frontiers in physiology · 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
15 authors.
Funding
Abstract
Here, we describe the preservation and preparation of human kidney tissue for interrogation by histopathology, imaging mass spectrometry, and multiplexed immunofluorescence. Custom image registration and integration techniques are used to create cellular and molecular atlases of this organ system. Through careful optimization, we ensure high-quality and reproducible datasets suitable for cross-patient comparisons that are essential to understanding human health and disease. Moreover, each of these steps can be adapted to other organ systems or diseases, enabling additional atlas efforts.
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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.