ArticleNature communications2023
Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Tissue expansion mass spectrometry imaging (TEMI) for high-spatial-resolution multiomics molecular mapping.Nature protocols · 2026Review
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Towards the construction of a virtual yeast.Nature · 2026Review
- Filter-aided expansion proteomics for the spatial analysis of single cells and organelles in FFPE tissue samples.Nature protocols · 2026Review
- Expansion omics: from expansion microscopy to spatial omics.Molecular systems biology · 2026Review
- Mass Spectrometry Imaging.Analytical chemistry · 2025Review
- Ultrastructure expansion microscopy (U-ExM) of mouse and human kidneys for analysis of subcellular structures.Cytoskeleton (Hoboken, N.J.) · 2024Article
- Single-shot 20-fold expansion microscopy.Nature methods · 2024Article
- Subdiffraction Imaging of Cleared and Expanded Large-Scale Tissues.Chemical & biomedical imaging · 2024Review
- Gel-assisted mass spectrometry imaging enables sub-micrometer spatial lipidomics.Nature communications · 2024Article
- Expanding boundaries - a cell biologist's guide to expansion microscopy.Journal of cell science · 2024Review
- Multiplex protein imaging in tumour biology.Nature reviews. Cancer · 2024Review
- Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
Cellular organization and functions encompass multiple scales in vivo. Emerging high-plex imaging technologies are limited in resolving subcellular biomolecular features. Expansion Microscopy (ExM) and related techniques physically expand samples for enhanced spatial resolution, but are challenging to be combined with high-plex imaging technologies to enable integrative multiscaled tissue biology insights. Here, we introduce Expand and comPRESS hydrOgels (ExPRESSO), an ExM framework that allows high-plex protein staining, physical expansion, and removal of water, while retaining the lateral tissue expansion. We demonstrate ExPRESSO imaging of archival clinical tissue samples on Multiplexed Ion Beam Imaging and Imaging Mass Cytometry platforms, with detection capabilities of > 40 markers. Application of ExPRESSO on archival human lymphoid and brain tissues resolved tissue architecture at the subcellular level, particularly that of the blood-brain barrier. ExPRESSO hence provides a platform for extending the analysis compatibility of hydrogel-expanded biospecimens to mass spectrometry, with minimal modifications to protocols and instrumentation.
Indexed as
Identifiers
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.