A1 Journal article (refereed)
Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina (2023)


Mäntylä, E., Montonen, T., Azzari, L., Mattola, S., Hannula, M., Vihinen-Ranta, M., Hyttinen, J., Vippola, M., Foi, A., Nymark, S., & Ihalainen, T. O. (2023). Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina. Molecular Biology of the Cell, 34(9). https://doi.org/10.1091/mbc.e22-09-0448


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Publication details

All authors or editorsMäntylä, Elina; Montonen, Toni; Azzari, Lucio; Mattola, Salla; Hannula, Markus; Vihinen-Ranta, Maija; Hyttinen, Jari; Vippola, Minnamari; Foi, Alessandro; Nymark, Soile; et al.

Journal or seriesMolecular Biology of the Cell

ISSN1059-1524

eISSN1939-4586

Publication year2023

Publication date21/06/2023

Volume34

Issue number9

PublisherAmerican Society for Cell Biology (ASCB)

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1091/mbc.e22-09-0448

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/88580

Additional informationBrief Report


Abstract

Investigation of nuclear lamina architecture relies on super-resolved microscopy. However, epitope accessibility, labeling density, and detection precision of individual molecules pose challenges within the molecularly crowded nucleus. We developed iterative indirect immunofluorescence (IT–IF) staining approach combined with expansion microscopy (ExM) and structured illumination microscopy to improve super-resolution microscopy of subnuclear nanostructures like lamins. We prove that ExM is applicable in analyzing highly compacted nuclear multiprotein complexes such as viral capsids and provide technical improvements to ExM method including 3D-printed gel casting equipment. We show that in comparison to conventional immunostaining, IT-IF results in a higher signal-to-background –ratio and a mean fluorescence intensity by improving the labeling density. Moreover, we present a signal processing pipeline for noise estimation, denoising, and deblurring to aid in quantitative image analyses and provide this platform for the microscopy imaging community. Finally, we show the potential of signal-resolved IT–IF in quantitative super-resolution ExM imaging of nuclear lamina and reveal nanoscopic details of the lamin network organization - a prerequisite for studying intranuclear structural co-regulation of cell function and fate.


Keywordscell nucleuslaminsstructure (properties)optical microscopy


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Ministry reportingYes

Reporting Year2023

Preliminary JUFO rating2


Last updated on 2024-30-04 at 20:16