Interaction of parvoviruses with the nuclear envelope

Snoussi, Kenza; Kann, Michael

doi:10.1016/j.jbior.2013.09.008

Cited by 6 publications

(4 citation statements)

References 95 publications

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“…Additionally, HP1α and HP1β redistributions observed in ASFV-infected cells can explain the nuclear lamina breakdown reported during ASFV infection [ 5 ], since both HP1 isoforms are known to be involved in the nuclear envelope assembly [ 28 ]. Moreover, considering that ASFV has an intranuclear DNA replication phase [ 8 ], the disintegration of the nuclear lamina may also be related to structural changes induced by viral replication compartments and/or by viral nuclear entry/egress, as reported in other viral infections [ 64 , 65 , 66 , 67 ]. Even thought, the observed intranuclear changes could result from the nuclear lamina disassembly, the detected redistribution of heterochromatin-related factors are time and space-dependent in infected cells, while euchromatin-related factors and most of the HDAC enzymes did not show altered distribution patterns, thus favouring a non-stochastic event and not only linked to the nuclear envelope breakdown.…”

Section: Discussionmentioning

confidence: 99%

Alterations of Nuclear Architecture and Epigenetic Signatures during African Swine Fever Virus Infection

Simões

Rino

Pinheiro

et al. 2015

Viruses

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Viral interactions with host nucleus have been thoroughly studied, clarifying molecular mechanisms and providing new antiviral targets. Considering that African swine fever virus (ASFV) intranuclear phase of infection is poorly understood, viral interplay with subnuclear domains and chromatin architecture were addressed. Nuclear speckles, Cajal bodies, and promyelocytic leukaemia nuclear bodies (PML-NBs) were evaluated by immunofluorescence microscopy and Western blot. Further, efficient PML protein knockdown by shRNA lentiviral transduction was used to determine PML-NBs relevance during infection. Nuclear distribution of different histone H3 methylation marks at lysine’s 9, 27 and 36, heterochromatin protein 1 isoforms (HP1α, HPβ and HPγ) and several histone deacetylases (HDACs) were also evaluated to assess chromatin status of the host. Our results reveal morphological disruption of all studied subnuclear domains and severe reduction of viral progeny in PML-knockdown cells. ASFV promotes H3K9me3 and HP1β foci formation from early infection, followed by HP1α and HDAC2 nuclear enrichment, suggesting heterochromatinization of host genome. Finally, closeness between DNA damage response factors, disrupted PML-NBs, and virus-induced heterochromatic regions were identified. In sum, our results demonstrate that ASFV orchestrates spatio-temporal nuclear rearrangements, changing subnuclear domains, relocating Ataxia Telangiectasia Mutated Rad-3 related (ATR)-related factors and promoting heterochromatinization, probably controlling transcription, repressing host gene expression, and favouring viral replication.

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Section: Discussionmentioning

confidence: 99%

Alterations of Nuclear Architecture and Epigenetic Signatures during African Swine Fever Virus Infection

Simões

Rino

Pinheiro

et al. 2015

Viruses

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“…This is seemingly supported by observations that parvoviral capsids accumulate in the nucleus shortly after infection, which is in agreement with the presence of an NLS on the large PV capsid protein VP1. However, the NLS which was found in different PV, localizes in the VP1u domain at the N-terminus, which is hidden in the virion (reviewed in [ 85 ]). Heat treatment externalizes this domain and it was proposed that such structural change also occurs upon endosomal entry and acidification.…”

Section: Capsid Disassembly and Import Of Other Viral Genomesmentioning

confidence: 99%

Nuclear Import of Hepatitis B Virus Capsids and Genome

Gallucci

Kann

2017

Viruses

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Hepatitis B virus (HBV) is an enveloped pararetrovirus with a DNA genome, which is found in an up to 36 nm-measuring capsid. Replication of the genome occurs via an RNA intermediate, which is synthesized in the nucleus. The virus must have thus ways of transporting its DNA genome into this compartment. This review summarizes the data on hepatitis B virus genome transport and correlates the finding to those from other viruses.

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“…The nuclear envelope (NE) is a bi-layer membrane that separates the nucleus with the chromosomes from the rest of the cellular compartments [10] and contains a large number of membrane proteins with sophisticated roles and functions [11][12][13][14]. The structure and condition of the NE is of huge importance as it has been related to viral infections [15][16][17][18][19], Muscular dystrophy [20], Cancer [21][22][23][24][25], Osteoporosis [26], Cardiovascular diseases [27][28][29], other diseases [30][31][32], and ageing [33][34][35]. Therefore, algorithms for the segmentation, visualisation and analysis of the NE could provide parameters to understand the conditions of health and disease of a cell.…”

Section: Introductionmentioning

confidence: 99%

Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures

et al. 2020

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The quantitative study of cell morphology is of great importance as the structure and condition of cells and their structures can be related to conditions of health or disease. The first step towards that, is the accurate segmentation of cell structures. In this work, we compare five approaches, one traditional and four deep-learning, for the semantic segmentation of the nuclear envelope of cervical cancer cells commonly known as HeLa cells. Images of a HeLa cancer cell were semantically segmented with one traditional image-processing algorithm and four three deep learning architectures: VGG16, ResNet18, Inception-ResNet-v2, and U-Net. Three hundred slices, each 2000 × 2000 pixels, of a HeLa Cell were acquired with Serial Block Face Scanning Electron Microscopy. The first three deep learning architectures were pre-trained with ImageNet and then fine-tuned with transfer learning. The U-Net architecture was trained from scratch with 36, 000 training images and labels of size 128 × 128. The image-processing algorithm followed a pipeline of several traditional steps like edge detection, dilation and morphological operators. The algorithms were compared by measuring pixel-based segmentation accuracy and Jaccard index against a labelled ground truth. The results indicated a superior performance of the traditional algorithm (Accuracy = 99%, Jaccard = 93%) over the deep learning architectures:

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Interaction of parvoviruses with the nuclear envelope

Cited by 6 publications

References 95 publications

Alterations of Nuclear Architecture and Epigenetic Signatures during African Swine Fever Virus Infection

Alterations of Nuclear Architecture and Epigenetic Signatures during African Swine Fever Virus Infection

Nuclear Import of Hepatitis B Virus Capsids and Genome

Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures

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