Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Laura E. Wadkin"'
Autor:
Laura E. Wadkin, Andrew Golightly, Julia Branson, Andrew Hoppit, Nick G. Parker, Andrew W. Baggaley
Publikováno v:
Diversity, Vol 15, Iss 4, p 496 (2023)
Invasive woodland pests have substantial ecological, economic, and social impacts, harming biodiversity and ecosystem services. Mathematical modelling informed by Bayesian inference can deepen our understanding of the fundamental behaviours of invasi
Externí odkaz:
https://doaj.org/article/5511c6acabe64cd1ae1044f1c32bc086
Autor:
Laura E. Wadkin, Julia Branson, Andrew Hoppit, Nicholas G. Parker, Andrew Golightly, Andrew W. Baggaley
Publikováno v:
Ecology and Evolution, Vol 12, Iss 5, Pp n/a-n/a (2022)
Abstract Invasive pests pose a great threat to forest, woodland, and urban tree ecosystems. The oak processionary moth (OPM) is a destructive pest of oak trees, first reported in the UK in 2006. Despite great efforts to contain the outbreak within th
Externí odkaz:
https://doaj.org/article/f378c59329084110853ec967df16e977
Autor:
Majlinda Lako, Irina Neganova, Laura E. Wadkin, Anvar Shukurov, Sanja Bojic, Alex Laude, Sirio Orozco-Fuentes, Nick G. Parker
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports
Scientific Reports
Human embryonic stem cells (hESCs) and induced pluripotent stem cells (iPSCs) have promising clinical applications which often rely on clonally-homogeneous cell populations. To achieve this, it is important to ensure that each colony originates from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f8b42508fd41863acbd476b0ffaa58c
http://link.springer.com/article/10.1038/s41598-019-51897-0
http://link.springer.com/article/10.1038/s41598-019-51897-0
Autor:
Nick G. Parker, Irina Neganova, Laura E. Wadkin, Sirio Orozco-Fuentes, Anvar Shukurov, Majlinda Lako
Publikováno v:
Recent Advances in iPSC Technology ISBN: 9780128222317
The aim of this chapter is to convey the importance and usefulness of mathematical modeling as a tool to achieve a deeper understanding of stem cell biology. We introduce key mathematical concepts (random walk theory, differential equations, and agen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a192f798c4d4afe986473e2df7b3be0
https://doi.org/10.1016/b978-0-12-822231-7.00004-7
https://doi.org/10.1016/b978-0-12-822231-7.00004-7
Autor:
Sirio Orozco-Fuentes, Majlinda Lako, Anvar Shukurov, RA Barrio-Paredes, Laura E. Wadkin, Nick G. Parker, Irina Neganova, Andrew W. Baggaley
OCT4 is one of the transcription factors required to maintain an undifferentiated state in human embryonic stem cells (hESCs). Thus, it is crucial to understand how OCT4 transcription is regulated both at the single-cell and colony level. Here we ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e109e3a35ec6d8a11b746deb0d471d57
https://doi.org/10.1101/2020.05.02.074435
https://doi.org/10.1101/2020.05.02.074435
Autor:
Sirio Orozco-Fuentes, Andrew W. Baggaley, Laura E. Wadkin, Anvar Shukurov, Rafael A. Barrio, Nick G. Parker, Irina Neganova, Majlinda Lako
The improved in vitro regulation of human embryonic stem cell (hESC) pluripotency and differentiation trajectories is required for their promising clinical applications. The temporal and spatial quantification of the molecular interactions controllin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::417c1af63c3c3da0c4bfda11ece9fdef
http://arxiv.org/abs/2004.09133
http://arxiv.org/abs/2004.09133
Autor:
Laura E. Wadkin, Nick G. Parker, Anvar Shukurov, Irina Neganova, Sirio Orozco-Fuentes, Majlinda Lako
Publikováno v:
Sn Applied Sciences
Human pluripotent stem cells hold great promise for developments in regenerative medicine and drug design. The mathematical modelling of stem cells and their properties is necessary to understand and quantify key behaviours and develop non-invasive p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af7bb0073aa1a89ff3d2a980c59c8ee3