Evidence map›Paper›PMID 31732142›Full record

ArticleBiophysical journal2019

Nanoscale Distribution of Nuclear Sites by Super-Resolved Image Cross-Correlation Spectroscopy.

Michele Oneto, Lorenzo Scipioni, Maria J Sarmento, Isotta Cainero, Simone Pelicci, Laura Furia, Pier G Pelicci, Gaetano I Dellino, Paolo Bianchini, Mario Faretta and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Endocytic Control of Cell-Autonomous and Non-Cell-Autonomous Functions of p53.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Michele OnetoNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy.
Lorenzo ScipioniNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy; Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California.
Maria J SarmentoNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy.
Isotta CaineroNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy; Department of Physics, University of Genoa, Genoa, Italy.
Simone PelicciNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy; Department of Physics, University of Genoa, Genoa, Italy.
Laura FuriaDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Pier G PelicciDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Gaetano I DellinoDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Paolo BianchiniNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy.
Mario FarettaDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California.
Alberto DiasproNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy; Department of Physics, University of Genoa, Genoa, Italy. Electronic address: alberto.diaspro@iit.it.
Luca LanzanòNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy. Electronic address: luca.lanzano@iit.it.
Italian Institute of Technology · ITEuropean Institute of Oncology · ITFluor (United States) · USUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering the spatiotemporal coordination between nuclear functions is important to understand its role in the maintenance of human genome. In this context, super-resolution microscopy has gained considerable interest because it can be used to probe the spatial organization of functional sites in intact single-cell nuclei in the 20-250 nm range. Among the methods that quantify colocalization from multicolor images, image cross-correlation spectroscopy (ICCS) offers several advantages, namely it does not require a presegmentation of the image into objects and can be used to detect dynamic interactions. However, the combination of ICCS with super-resolution microscopy has not been explored yet. Here, we combine dual-color stimulated emission depletion (STED) nanoscopy with ICCS (STED-ICCS) to quantify the nanoscale distribution of functional nuclear sites. We show that super-resolved ICCS provides not only a value of the colocalized fraction but also the characteristic distances associated to correlated nuclear sites. As a validation, we quantify the nanoscale spatial distribution of three different pairs of functional nuclear sites in MCF10A cells. As expected, transcription foci and a transcriptionally repressive histone marker (H3K9me3) are not correlated. Conversely, nascent DNA replication foci and the proliferating cell nuclear antigen(PCNA) protein have a high level of proximity and are correlated at a nanometer distance scale that is close to the limit of our experimental approach. Finally, transcription foci are found at a distance of 130 nm from replication foci, indicating a spatial segregation at the nanoscale. Overall, our data demonstrate that STED-ICCS can be a powerful tool for the analysis of the nanoscale distribution of functional sites in the nucleus.

Indexed as

Spectrum AnalysisCell NucleusColorHumansMCF-7 CellsMicroscopyNanotechnology

Identifiers

PMID31732142
PMCPMC6895719
OpenAlexW2984296537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.