Evidence map›Paper›PMID 37342871›Full record

ArticleMolecular biology of the cell2023

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

Elina Mäntylä, Toni Montonen, Lucio Azzari, Salla Mattola, Markus Hannula, Maija Vihinen-Ranta, Jari Hyttinen, Minnamari Vippola, Alessandro Foi, Soile Nymark and 1 more

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2023. 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
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Elina MäntyläBioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.ORCID 0000-0002-8681-8772
Toni MontonenBioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Lucio AzzariTampere Microscopy Center (TMC), Tampere University, 33100 Tampere, Finland.
Salla MattolaDepartment of Biological and Environmental Science and Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland.
Markus HannulaBioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Maija Vihinen-RantaDepartment of Biological and Environmental Science and Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland.
Jari HyttinenBioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Minnamari VippolaTampere Microscopy Center (TMC), Tampere University, 33100 Tampere, Finland.
Alessandro FoiFaculty of Information Technology and Communication Sciences, Computing Sciences, Tampere University, 33100 Tampere, Finland.
Soile NymarkBioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Teemu O IhalainenBioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Tampere University · FIUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

MicroscopyNuclear LaminaCell NucleusImage Processing, Computer-AssistedLaminsLamins

Identifiers

PMID37342871
PMCPMC10398900
OpenAlexW4381489836

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.