Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Ruth E. Baker"'
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-14 (2021)
Understanding the motion of finite-sized particles in crowded environments is at the heart of important biological and physiological problems. Here, the authors construct a network-based mathematical framework for studying transport of macromolecules
Externí odkaz:
https://doaj.org/article/b782070e22d946c3b2f4250cbf39bdc5
Autor:
Solveig A. van der Vegt, Ying-Jie Wang, Liudmila Polonchuk, Ken Wang, Sarah L. Waters, Ruth E. Baker
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Immune checkpoint inhibitors (ICIs), as a novel immunotherapy, are designed to modulate the immune system to attack malignancies. Despite their promising benefits, immune-related adverse events (IRAEs) may occur, and incidences are bound to increase
Externí odkaz:
https://doaj.org/article/0ac2dae4841846c19b73eadcdb563e8e
Autor:
Richard L. Mort, Robert J. H. Ross, Kirsten J. Hainey, Olivia J. Harrison, Margaret A. Keighren, Gabriel Landini, Ruth E. Baker, Kevin J. Painter, Ian J. Jackson, Christian A. Yates
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
How embryonic melanoblast behaviour influences adult pigmentation patterns and causes patterning defects is unclear. Here, Mort et al. construct a stochastic model parameterised experimentally to show that melanoblast migration is undirected and that
Externí odkaz:
https://doaj.org/article/d0fc4d265c144b5a892537bce05adc94
The impact of experimental design choices on parameter inference for models of growing cell colonies
Publikováno v:
Royal Society Open Science, Vol 5, Iss 8 (2018)
To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment. Inferring parameters associated with mechan
Externí odkaz:
https://doaj.org/article/2e60fb5405464a71b28aaa7cc4513158
Publikováno v:
Royal Society Open Science, Vol 5, Iss 8 (2018)
The processes taking place inside the living cell are now understood to the point where predictive computational models can be used to gain detailed understanding of important biological phenomena. A key challenge is to extrapolate this detailed know
Externí odkaz:
https://doaj.org/article/4d3b6a683c6e42b38200cc3bb87078ab
Publikováno v:
Open Biology, Vol 6, Iss 6 (2016)
Mathematical models are becoming increasingly integrated with experimental efforts in the study of biological systems. Collective cell migration in developmental biology is a particularly fruitful application area for the development of theoretical m
Externí odkaz:
https://doaj.org/article/a556ff44f1c04403a025ee0242d96720
Autor:
William Duncan Martinson, Rebecca McLennan, Jessica M Teddy, Mary C McKinney, Lance A Davidson, Ruth E Baker, Helen M Byrne, Paul M Kulesa, Philip K Maini
Publikováno v:
eLife, Vol 12 (2023)
Collective cell migration plays an essential role in vertebrate development, yet the extent to which dynamically changing microenvironments influence this phenomenon remains unclear. Observations of the distribution of the extracellular matrix (ECM)
Externí odkaz:
https://doaj.org/article/2dc117d3186148a4bb07444cc33ce442
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010191 (2022)
Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. However, the computational cost of Bayesian computation with detailed models has been a notorious problem.
Externí odkaz:
https://doaj.org/article/b0267a943774430db8a24803137e3fc1
Autor:
William Duncan Martinson, Rebecca McLennan, Jessica M Teddy, Mary C McKinney, Lance A Davidson, Ruth E Baker, Helen M Byrne, Paul M Kulesa, Philip K Maini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5c272db56cb059e7557615a6251859
https://doi.org/10.7554/elife.83792.sa2
https://doi.org/10.7554/elife.83792.sa2
Cell competition is a process in multicellular organisms where cells interact with their neighbours to determine a “winner” or “loser” status. The loser cells are eliminated through programmed cell death, leaving only the winner cells to popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406d6809bbb8d2f6a0821ee193a2a401
https://doi.org/10.1101/2023.03.14.531164
https://doi.org/10.1101/2023.03.14.531164