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University of Cambridge

Super-resolved volumetric optical imaging of virus-infected cells

Abstract

dc:description.abstract

Viruses are infectious agents that replicate within the cells of the organisms they infect. Most viruses are smaller than 200 nanometres, which makes them hard to visualise using diffraction-limited light microscopes. Yet, ‘seeing viruses’ is essential to unravel their infection mechanism within the organisms they highjack, which is key to understanding how such small entities can spark disruptive pandemics. This thesis shows how expansion microscopy is an excellent tool to achieve super-resolution when imaging virus-infected samples using optical microscopy. Expansion microscopy is a recently conceived sample preparation technique that physically expands fixed specimens after embedding them in water-absorbing polymers. By expanding virus-infected samples and imaging them on a light sheet microscope, it was possible to acquire super-resolved 3D images of virus-infected cells rapidly and in up to four colours simultaneously. The combination of expansion and light sheet microscopy was employed for studying the infection cycle of the emerging virus SARS-CoV-2 and for comparing the infection mechanism of two live attenuated influenza vaccine (LAIV) viruses characterised by differing vaccine effectiveness. In both cases, the increased resolution in three dimensions delivered details about the infection mechanism of these viruses that were not previously known. Imaging SARS-CoV-2 infected Vero cells revealed that the nucleocapsid protein of SARS-CoV-2 accumulates at the membrane of the viral replication organelles, strongly suggesting that this is where the encapsidation of the viral genome by the nucleocapsid protein occurs. Imaging the assembly of the viral genome of an optimal and suboptimal LAIV virus in A549 cells highlighted genome assembly faults for the suboptimal virus at the cytoplasmic level, which could be the main reason behind the reduced fitness of this LAIV strain.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mascheroni, Luca
Advisor dc:contributor.advisor
  • Kaminski, Clemens

Subjects

dc:subject × 5

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
DOI dc:identifier.doi
https://doi.org/10.17863/CAM.91231
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/343809

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mascheroni, Luca. Super-resolved volumetric optical imaging of virus-infected cells. Doctoral thesis, University of Cambridge, 2022. https://doi.org/10.17863/CAM.91231