ReviewHistology and histopathology2025
Single-cell spatial proteomics.
Review in Histology and histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026Review
- Metabolic and post-translational modifications in sepsis-associated immune dysfunction: a conceptual framework.Frontiers in immunology · 2026Review
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
Recent advancements in single-cell spatial proteomics have revolutionized our ability to elucidate cellular signaling networks and their implications in health and disease. This review examines these cutting-edge technologies, focusing on mass spectrometry (MS) imaging and multiplexed immunofluorescence (mIF). Such approaches allow high-resolution protein profiling at the single-cell level, revealing intricate cellular heterogeneity, spatial organization, and protein functions within their native cellular contexts. MS imaging techniques offer unprecedented high-dimensional resolution and provide detailed insights into their subcellular protein localization and abundance. mIF enables rapid and high-throughput protein profiling, enhancing its accessibility for diverse research and clinical applications. This review assesses the current challenges associated with these methodologies and also discusses the potential solutions to overcome these obstacles. The integration of spatial proteomics with other systems biology approaches holds great promise for enhancing our understanding of complex biological systems. It could also lead to significant advancements in molecular diagnostics and personalized treatment strategies.
Indexed as
Identifiers
39744823What 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.