Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina.


Journal

Molecular biology of the cell
ISSN: 1939-4586
Titre abrégé: Mol Biol Cell
Pays: United States
ID NLM: 9201390

Informations de publication

Date de publication:
01 08 2023
Historique:
medline: 25 7 2023
pubmed: 21 6 2023
entrez: 21 6 2023
Statut: ppublish

Résumé

Investigation of nuclear lamina architecture relies on superresolved 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 superresolution 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 three-dimensional-printed gel casting equipment. We show that in comparison with 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 superresolution ExM imaging of nuclear lamina and reveal nanoscopic details of the lamin network organization-a prerequisite for studying intranuclear structural coregulation of cell function and fate.

Identifiants

pubmed: 37342871
doi: 10.1091/mbc.E22-09-0448
pmc: PMC10398900
doi:

Substances chimiques

Lamins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

br13

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Auteurs

Elina Mäntylä (E)

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.

Toni Montonen (T)

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.

Lucio Azzari (L)

Tampere Microscopy Center (TMC), Tampere University, 33100 Tampere, Finland.

Salla Mattola (S)

Department of Biological and Environmental Science and Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland.

Markus Hannula (M)

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.

Maija Vihinen-Ranta (M)

Department of Biological and Environmental Science and Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland.

Jari Hyttinen (J)

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.

Minnamari Vippola (M)

Tampere Microscopy Center (TMC), Tampere University, 33100 Tampere, Finland.

Alessandro Foi (A)

Faculty of Information Technology and Communication Sciences, Computing Sciences, Tampere University, 33100 Tampere, Finland.

Soile Nymark (S)

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.

Teemu O Ihalainen (TO)

BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Tampere Institute for Advanced Study, Tampere University, 33100 Tampere, Finland.

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Classifications MeSH