ArticleThe Journal of cell biology2021
Parameter-free molecular super-structures quantification in single-molecule localization microscopy.
Article in The Journal of cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Modern RNA Quantification Methods: From RT-qPCR to Advanced Microscopy.The journal of physical chemistry. B · 2026Review
- Cryosectioning-enhanced super-resolution microscopy for single-protein imaging across cells and tissues.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Chromatin-associated α-satellite RNA maintains chromosome stability by reestablishing SAF-A in the mitotic cell cycle.Nucleic acids research · 2025Article
- Quality control maps: Real-time quantitative control of single-molecule localization microscopy data.Biophysical journal · 2025Article
- Subcellular Drug Distribution: Exploring Organelle-Specific Characteristics for Enhanced Therapeutic Efficacy.Pharmaceutics · 2024Review
- Edge roughness analysis in nanoscale for single-molecule localization microscopy images.Nanophotonics (Berlin, Germany) · 2024Article
- Restrictor synergizes with Symplekin and PNUTS to terminate extragenic transcription.Genes & development · 2023Article
- Recent development of computational cluster analysis methods for single-molecule localization microscopy images.Computational and structural biotechnology journal · 2023Review
- Unbiased choice of global clustering parameters for single-molecule localization microscopy.Scientific reports · 2022Article
- Review
- Tunable Wide-Field Illumination and Single-Molecule Photoswitching with a Single MEMS Mirror.ACS photonics · 2021Article
- The hierarchical packing of euchromatin domains can be described as multiplicative cascades.PLoS computational biology · 2021Article
- Efficient Cross-Correlation Filtering of One- and Two-Color Single Molecule Localization Microscopy Data.Frontiers in bioinformatics · 2021Review
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Authors and funding
5 authors.
Funding
Abstract
Understanding biological function requires the identification and characterization of complex patterns of molecules. Single-molecule localization microscopy (SMLM) can quantitatively measure molecular components and interactions at resolutions far beyond the diffraction limit, but this information is only useful if these patterns can be quantified and interpreted. We provide a new approach for the analysis of SMLM data that develops the concept of structures and super-structures formed by interconnected elements, such as smaller protein clusters. Using a formal framework and a parameter-free algorithm, (super-)structures formed from smaller components are found to be abundant in classes of nuclear proteins, such as heterogeneous nuclear ribonucleoprotein particles (hnRNPs), but are absent from ceramides located in the plasma membrane. We suggest that mesoscopic structures formed by interconnected protein clusters are common within the nucleus and have an important role in the organization and function of the genome. Our algorithm, SuperStructure, can be used to analyze and explore complex SMLM data and extract functionally relevant information.
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