Evidence map›Paper›PMID 41309576›Full record

ArticleNature communications2025

Smart 3D super-resolution microscopy reveals the architecture of the RNA scaffold in a nuclear body.

Enya S Berrevoets, Laurell F Kessler, Ashwin Balakrishnan, Ellen Kazumi Okuda, Michaela Müller-McNicoll, Bernd Rieger, Sjoerd Stallinga, Mike Heilemann

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Resolving Sub-Nuclear Architecture from Compartments to Functional Domains.International journal of molecular sciences · 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

8 authors.

Enya S Berrevoets *Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Laurell F Kessler *Institute of Physical and Theoretical Chemistry, Goethe University, Frankfurt am Main, Germany.
Ashwin BalakrishnanInstitute of Physical and Theoretical Chemistry, Goethe University, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0003-4059-8345
Ellen Kazumi OkudaInstitute of Molecular Biosciences, Goethe University, Frankfurt am Main, Germany.ORCID http://orcid.org/0009-0008-7704-2125
Michaela Müller-McNicollInstitute of Molecular Biosciences, Goethe University, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-7174-8310
Bernd RiegerDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands. b.rieger@tudelft.nl.ORCID http://orcid.org/0000-0001-9215-9307
Sjoerd StallingaDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands. s.stallinga@tudelft.nl.ORCID http://orcid.org/0000-0003-4978-3272
Mike HeilemannInstitute of Physical and Theoretical Chemistry, Goethe University, Frankfurt am Main, Germany. heilemann@chemie.uni-frankfurt.de.ORCID http://orcid.org/0000-0002-9821-3578

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CRC 1177Deutsche Forschungsgemeinschaft (German Research Foundation) INST 161/1020-1 FUGG
6 · The paper itself

Abstract

Small subcellular organelles orchestrate key cellular functions. How biomolecules are spatially organized within these assemblies is poorly understood. Here, we report an automated super-resolution imaging and analysis workflow that integrates confocal microscopy, morphological object screening, targeted 3D super-resolution STED microscopy and quantitative image analysis. Using this smart microscopy workflow, we target the 3D organization of NEAT1, an architectural RNA that constitutes the structural backbone of paraspeckles, a membraneless nuclear organelle. Using site-specific labeling, morphological sorting and particle averaging, we reconstruct the morphological space of paraspeckles along their development cycle from over 10,000 individual particles. Applying spherical harmonics analysis, we report so-far unknown heterotypes of NEAT1 RNA organization. By integrating multi-positional labeling, we determine the coarse conformation of NEAT1 within the organelle and show that the 3' end forms a loop-like structure at the surface of the paraspeckle. Our study reveals key structural features of paraspeckle structure and growth, as well as the molecular organization of its scaffolding RNA.

Indexed as

Imaging, Three-DimensionalRNACell NucleusHeLa CellsHumansMicroscopy, ConfocalNucleic Acid ConformationParaspecklesRNA, Long NoncodingNEAT1 long non-coding RNA, humanRNARNA, Long Noncoding

Identifiers

PMID41309576
PMCPMC12660752

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Registered trials

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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.