Journal article
High-throughput super-resolution analysis of influenza virus pleomorphism reveals insights into viral spatial organization
- Abstract:
- Diseases caused by viruses represent a serious global health concern. In this thesis, I present novel methods for labelling, imaging and analysing virus particles. I also describe mathematical and computational models that can be used to describe biological structures, such as viruses. In studies of viral structure, pleomorphism, and articularly filamentous morphologies, are frequently overlooked.To characterise and better understand viral filaments, I developed and optimised an imaging protocol for individual virus particles that captured the heterogeneity of viral shape. I also produced analysis pipelines that took this image data to study the structure of viruses at the individual virion level in order to find an overall picture of the populations of virions that exist. These pipelines investigated virus size, patterning of surface proteins and the location of viral genome. I also demonstrated a novel virus labelling strategy that specifically labels virus that will aid in the future study of viral assembly and infection. I also used mathematical modelling to further understand the role of viral morphologies. I modelled virus particles as a pressure vessel to study engineering stress in relation to virus, bacteria, and cellular morphology. Together these advancements will further our ability to study viruses and our knowledge of virus structure
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 3.6MB, Terms of use)
-
- Publisher copy:
- 10.1371/journal.ppat.1011484
Authors
+ Biotechnology and Biological Sciences Research Council
More from this funder
- Funder identifier:
- 10.13039/501100000268
- Grant:
- BB/V001868/1
- Publisher:
- Public Library of Science
- Journal:
- PLoS Pathogens More from this journal
- Volume:
- 19
- Issue:
- 6
- Pages:
- e1011484-e1011484
- Publication date:
- 2023-06-30
- DOI:
- EISSN:
-
1553-7374
- ISSN:
-
1553-7366
- Language:
-
English
- Keywords:
- Pubs id:
-
1710394
- Local pid:
-
pubs:1710394
- Source identifiers:
-
W4382752509
- Deposit date:
-
2026-06-08
- ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
Terms of use
- Copyright date:
- 2023
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record