ArticleScientific reports2016
Probing the Spatial Organization of Molecular Complexes Using Triple-Pair-Correlation.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Inherited deficiency of DIAPH1 identifies a DNA double strand break repair pathway regulated by γ-actin.Nature communications · 2025Article
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- Creation and resolution of non-B-DNA structural impediments during replication.Critical reviews in biochemistry and molecular biology · 2022Article
- A basal-level activity of ATR links replication fork surveillance and stress response.Molecular cell · 2021Article
- Replication gaps are a key determinant of PARP inhibitor synthetic lethality with BRCA deficiency.Molecular cell · 2021Article
- Single-molecule imaging reveals replication fork coupled formation of G-quadruplex structures hinders local replication stress signaling.Nature communications · 2021Article
- Super-resolution visualization of distinct stalled and broken replication fork structures.PLoS genetics · 2020Article
- Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments.eLife · 2020Article
- Cancer-associated mutations in the iron-sulfur domain of FANCJ affect G-quadruplex metabolism.PLoS genetics · 2020Article
- Ultrafast data mining of molecular assemblies in multiplexed high-density super-resolution images.Nature communications · 2019Article
- Spatiotemporal dynamics of homologous recombination repair at single collapsed replication forks.Nature communications · 2018Article
- Article
- A Method for Quantifying Molecular Interactions Using Stochastic Modelling and Super-Resolution Microscopy.Scientific reports · 2017Article
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Authors and funding
2 authors.
Funding
Abstract
Super-resolution microscopy coupled with multiplexing techniques can resolve specific spatial arrangements of different components within molecular complexes. However, reliable quantification and analysis of such specific organization is extremely problematic because it is frequently obstructed by random co-localization incidents between crowded molecular species and the intrinsic heterogeneity of molecular complexes. To address this, we present a Triple-Pair-Correlation (TPC) analysis approach for unbiased interpretation of the spatial organization of molecular assemblies in crowded three-color super-resolution (SR) images. We validate this approach using simulated data, as well as SR images of DNA replication foci in human cells. This demonstrates the applicability of TPC in deciphering the specific spatial organization of molecular complexes hidden in dense multi-color super-resolution images.
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