In this section
Most of the members of this group are from the Statistics Section and Biomaths research group of the Department of Mathematics. Below you can find a list of research areas that members of this group are currently working on and/or would like to work on by applying their developed mathematical and statistical methods.
@article{Aryaman:2017:10.1042/BCJ20170651,
author = {Aryaman, J and Johnston, IG and Jones, NS},
doi = {10.1042/BCJ20170651},
journal = {Biochemical Journal},
pages = {4019--4034},
title = {Mitochondrial DNA Density Homeostasis Accounts for a Threshold Effect in a Cybrid Model of a Human Mitochondrial Disease},
url = {http://dx.doi.org/10.1042/BCJ20170651},
volume = {474},
year = {2017}
}
TY - JOUR
AB - Mitochondrial dysfunction is involved in a wide array of devastating diseases, but the heterogeneity and complexity of the symptoms of these diseases challenges theoretical understanding of their causation. With the explosion of omics data, we have the unprecedented opportunity to gain deep understanding of the biochemical mechanisms of mitochondrial dysfunction. This goal raises the outstanding need to make these complex datasets interpretable. Quantitative modelling allows us to translate such datasets into intuition and suggest rational biomedical treatments. Taking an interdisciplinary approach, we use a recently published large-scale dataset and develop a descriptive and predictive mathematical model of progressive increase in mutant load of the MELAS 3243A>G mtDNA mutation. The experimentally observed behaviour is surprisingly rich, but we find that our simple, biophysically motivated model intuitively accounts for this heterogeneity and yields a wealth of biological predictions. Our findings suggest that cells attempt to maintain wild-type mtDNA density through cell volume reduction, and thus power demand reduction, until a minimum cell volume is reached. Thereafter, cells toggle from demand reduction to supply increase, up-regulating energy production pathways. Our analysis provides further evidence for the physiological significance of mtDNA density and emphasizes the need for performing single-cell volume measurements jointly with mtDNA quantification. We propose novel experiments to verify the hypotheses made here to further develop our understanding of the threshold effect and connect with rational choices for mtDNA disease therapies.
AU - Aryaman,J
AU - Johnston,IG
AU - Jones,NS
DO - 10.1042/BCJ20170651
EP - 4034
PY - 2017///
SN - 1470-8728
SP - 4019
TI - Mitochondrial DNA Density Homeostasis Accounts for a Threshold Effect in a Cybrid Model of a Human Mitochondrial Disease
T2 - Biochemical Journal
UR - http://dx.doi.org/10.1042/BCJ20170651
UR - http://hdl.handle.net/10044/1/52595
VL - 474
ER -
If you are interested in meeting with members of the group please contact Marina Evangelou