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

Journal Article (2025)
Author(s)

E.S. Berrevoets (TU Delft - ImPhys/Stallinga group)

Laurell F. Kessler (Goethe University)

Ashwin Balakrishnan (Goethe University)

Ellen Kazumi Okuda (Goethe University)

Michaela Müller-McNicoll (Goethe University)

B. Rieger (TU Delft - ImPhys/Rieger group)

S. Stallinga (TU Delft - ImPhys/Stallinga group)

Mike Heilemann (Goethe University)

Research Group
ImPhys/Computational Imaging
DOI related publication
https://doi.org/10.1038/s41467-025-65723-x
More Info
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Publication Year
2025
Language
English
Research Group
ImPhys/Computational Imaging
Issue number
1
Volume number
16
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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.