ReviewThe American journal of pathology2025
Spatial Transcriptomics: Integrating Morphology and Molecular Mechanisms of Kidney Diseases.
Review in The American journal of pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research trends on macrophage polarization in osteoarthritis: a bibliometric analysis.Frontiers in immunology · 2025Pooled it
- Next-generation kidney tissue analysis - spatial omics and digital pathology.Nature reviews. Nephrology · 2026Review
- A comprehensive survey of computer vision methods for spatial transcriptomics.Briefings in bioinformatics · 2026Review
- Spatial Transcriptomics Meets Histochemistry: Insights from Glioblastoma as a Model System.Acta histochemica et cytochemica · 2026Review
- Reconstruction of Single-Cell Spatial Transcriptomes in Archival Kidney Biopsies.Kidney international reports · 2026Article
- From Laser Microdissection to Spatial Glycomics: Lectin Microarray Protocols for Tissue Glycome Mapping with High-End Scanners.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A Holistic Approach to AKI: Integrating Clinical and Molecular Data in the Human Kidney.Seminars in nephrology · 2025Review
- Computer Vision Methods for Spatial Transcriptomics: A Survey.bioRxiv : the preprint server for biology · 2025Article
- Article
- Kidney deletions of Cyp27b1 fail to reduce serum 1,25(OH)The Journal of steroid biochemistry and molecular biology · 2025Article
- Integrating spatial omics with routine haematoxylin and eosin in formalin-fixed paraffin-embedded: a step-by-step clinical workflow.F1000Research · 2025Review
- Advances in Single-Cell Sequencing and Spatial Profiling of Kidney Disease.The American journal of pathology · 2025Article
- Toward spatial glycomics and glycoproteomics: Innovations and applications.BBA advances · 2025Article
- The advance of single cell transcriptome to study kidney immune cells in diabetic kidney disease.BMC nephrology · 2024Review
- Evaluation of Biopsy-Based Molecular Risk Prediction in Crescentic Glomerulonephritis.Glomerular diseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The recent arrival of high-resolution spatial transcriptomics (ST) technologies is generating a veritable revolution in life sciences, enabling biomolecules to be measured in their native spatial context. By integrating morphology and molecular biology, ST technologies offer the potential of improving the understanding of tissue biology and disease and may also provide meaningful clinical insights. This review describes the main ST technologies currently available and the computational analysis for data interpretation and visualization, and illustrate their scientific and potential medical interest in the context of kidney disease. Finally, we discuss the perspectives and challenges of these booming new technologies.
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Identifiers
What Socratic 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 Socratic graph.