ArticleScience advances2022
Ultrastructural visualization of chromatin in cancer pathogenesis using a simple small-molecule fluorescent probe.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Molecular engineering of Cyanine-Hoechst hybrid materials for nanoscale DNA and chromatin imaging.JPhys materials · 2026Article
- Fused deep learning enables 6D single-molecule localization in polarization-resolved microscopy.Methods and applications in fluorescence · 2026Article
- Architecture and regulation of nanoscale chromatin domains.Nature communications · 2026Review
- Functional super-resolution microscopy of fibers and polymers: convergence of artificial and biological systems at the nanoscale.Nanoscale horizons · 2026Review
- Design of a NIR-I Viscosity-Sensitive Fluorescent Probe for Tracking Nuclear Physiological Changes During Different Cell Cycle Stages.Analytical chemistry · 2026Article
- Nuclear destabilisation - a possible genesis of cancer?Biological reviews of the Cambridge Philosophical Society · 2025Review
- ClusterNet: Classifying Single-Molecule Localization Microscopy Datasets with Graph-Based Deep Learning of Supracluster Structure.Small science · 2025Article
- Quantitative single-cell imaging suggests increased global chromatin accessibility in tumor versus non-tumor cell lines.iScience · 2025Article
- Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.Scientific reports · 2025Article
- A Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Super-Resolution Microscopy as a Versatile Tool in Probing Molecular Assembly.International journal of molecular sciences · 2024Review
- Review
- Multilevel view on chromatin architecture alterations in cancer.Frontiers in genetics · 2022Review
- A BODIPY-Hoechst conjugate for nuclear DNA staining.Journal of porphyrins and phthalocyaninesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Imaging chromatin organization at the molecular-scale resolution remains an important endeavor in basic and translational research. Stochastic optical reconstruction microscopy (STORM) is a powerful superresolution imaging technique to visualize nanoscale molecular organization down to the resolution of ~20 to 30 nm. Despite the substantial progress in imaging chromatin organization in cells and model systems, its routine application on assessing pathological tissue remains limited. It is, in part, hampered by the lack of simple labels that consistently generates high-quality STORM images on the highly processed clinical tissue. We developed a fast, simple, and robust small-molecule fluorescent probe-cyanine 5-conjugated Hoechst-for routine superresolution imaging of nanoscale nuclear architecture on clinical tissue. We demonstrated the biological and clinical significance of imaging superresolved chromatin structure in cancer development and its potential clinical utility for cancer risk stratification.
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.