Research Data Leeds Repository

Citation

Liao, Laura E. and Carruthers, Jonathan and Smither, Sophie J. and Weller, Simon A. and Williamson, Diane and Laws, Thomas R. and García-Dorival, Isabel and Hiscox, Julian and Holder, Benjamin P. and Beauchemin, Catherine A. A. and Perelson, Alan S. and López-García, Martín and Lythe, Grant and Barr, John and Molina-París, Carmen, CL4 Virology Team (2020) Dataset associated with 'Quantification of Ebola virus replication kinetics in vitro'. University of Leeds. [Dataset] https://doi.org/10.5518/915

Dataset description

This dataset is associated with ‘Quantification of Ebola virus replication kinetics in vitro’. In the paper, a mathematical model is developed to describe the replication of Ebola virus in Vero cells. The model is parametrised using measurements of total and infectious extracellular virus at three different multiplicities of infection. The results provide insights into the distribution of time an infected cell spends in the eclipse phase (the period between infection and the start of virus production), as well as the rate at which infectious virions lose infectivity. Here, we provide all the experimental results necessary to parametrise the mathematical model.

Additional information:	Content includes material subject to Dstl Crown Copyright [2020] This is the dataset of an open access article under the Open Government Licence (OGL)
Keywords:	Ebola virus, mathematical modelling, virus replication kinetics, mathematical immunology
Divisions:	Faculty of Biological Sciences > School of Molecular and Cellular Biology Faculty of Engineering and Physical Sciences > School of Mathematics
Related resources:	Location Type http://eprints.whiterose.ac.uk/167283/ Publication https://arxiv.org/abs/2010.09898 Text https://doi.org/10.1371/journal.pcbi.1008375 Publication
License:	Open Government Licence 3.0 (OGL 3.0)
Date deposited:	23 Oct 2020 14:05
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/762
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Liao, Laura E. https://orcid.org/0000-0001-6069-2633 Los Alamos National Laboratory https://ror.org/01e41cf67 ror Carruthers, Jonathan https://orcid.org/0000-0002-1372-3254 University of Leeds https://ror.org/024mrxd33 ror Smither, Sophie J. https://orcid.org/0000-0002-7835-3581 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Weller, Simon A. https://orcid.org/0000-0001-9286-2991 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Williamson, Diane https://orcid.org/0000-0002-0322-5972 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Laws, Thomas R. https://orcid.org/0000-0002-0142-9162 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror García-Dorival, Isabel https://orcid.org/0000-0002-5654-5662 University of Liverpool https://ror.org/04xs57h96 ror Hiscox, Julian https://orcid.org/0000-0002-6582-0275 University of Liverpool https://ror.org/04xs57h96 ror Holder, Benjamin P. https://orcid.org/0000-0003-3492-057X Grand Valley State University https://ror.org/001m1hv61 ror Beauchemin, Catherine A. A. https://orcid.org/0000-0003-0599-0069 Toronto Metropolitan University https://ror.org/05g13zd79 ror RIKEN https://ror.org/01sjwvz98 ror Perelson, Alan S. https://orcid.org/0000-0002-2455-0002 Los Alamos National Laboratory https://ror.org/01e41cf67 ror López-García, Martín https://orcid.org/0000-0003-3833-8595 University of Leeds https://ror.org/024mrxd33 ror Lythe, Grant https://orcid.org/0000-0001-7966-5571 University of Leeds https://ror.org/024mrxd33 ror Barr, John https://orcid.org/0000-0002-9035-2039 University of Leeds https://ror.org/024mrxd33 ror Molina-París, Carmen https://orcid.org/0000-0001-9828-6737 University of Leeds https://ror.org/024mrxd33 ror Corporate creators: CL4 Virology Team Type of data: Dataset Publication date: 2020 Resource language: English Metadata language: English Publisher: University of Leeds Last Modified: 15 Jul 2024 14:25

Files

Documentation

README.txt [621B] README.txt [621B] README.txt [621B] Security: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain File size: 621B

Data

Standard curve calibration [9kB] Standard curve calibration [9kB] Standard curve calibration [9kB] Security: Anyone File name: count-to-Ct.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Open Government Licence 3.0 (OGL 3.0) File size: 9kB

MOI 0.1, 1 and 5 total virus [10kB] MOI 0.1, 1 and 5 total virus [10kB] MOI 0.1, 1 and 5 total virus [10kB] Security: Anyone File name: mc-Ct.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Open Government Licence 3.0 (OGL 3.0) File size: 10kB

MOI 0.1, 1 and 5 infectious virus [10kB] MOI 0.1, 1 and 5 infectious virus [10kB] MOI 0.1, 1 and 5 infectious virus [10kB] Security: Anyone File name: mc-tcid.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Open Government Licence 3.0 (OGL 3.0) File size: 10kB

Mock-yield assay total virus [8kB] Mock-yield assay total virus [8kB] Mock-yield assay total virus [8kB] Security: Anyone File name: my-Ct.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Open Government Licence 3.0 (OGL 3.0) File size: 8kB

Mock-yield assay infectious virus [9kB] Mock-yield assay infectious virus [9kB] Mock-yield assay infectious virus [9kB] Security: Anyone File name: my-tcid.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Open Government Licence 3.0 (OGL 3.0) File size: 9kB