38 citations · 62 across the 6 of their papers we have counts for
8 papers
Encounter networks from collective mitochondrial dynamics support the emergence of effective mtDNA genomes in plant cells
Konstantinos Giannakis, Joanna M. Chustecki, Iain G. Johnston
Mitochondria in plant cells form strikingly dynamic populations of largely individual organelles. Each mitochondrion contains on average less than a full copy of the mitochondrial…
Data-driven modelling and characterisation of task completion sequences in online courses
Robert L. Peach, Sam F. Greenbury, Iain G. Johnston +3
The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and…
Intracellular Energy Variability Modulates Cellular Decision-Making Capacity
Ryan Kerr, Sara Jabbari, Iain G. Johnston
Cells are able to generate phenotypic diversity both during development and in response to stressful and changing environments, aiding survival. The biologically and medically vita…
HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways
Sam F. Greenbury, Mauricio Barahona, Iain G. Johnston
The explosion of data throughout the biomedical sciences provides unprecedented opportunities to learn about the dynamics of evolution and disease progression, but harnessing these…
Mitochondrial network state scales mtDNA genetic dynamics
Juvid Aryaman, Charlotte Bowles, Nick S. Jones +1
Mitochondrial DNA (mtDNA) mutations cause severe congenital diseases but may also be associated with healthy aging. MtDNA is stochastically replicated and degraded, and exists with…
Mitochondrial heterogeneity
Juvid Aryaman, Iain G. Johnston, Nick S. Jones
Cell-to-cell heterogeneity drives a range of (patho)physiologically important phenomena, such as cell fate and chemotherapeutic resistance. The role of metabolism, and particularly…