Imperial College London
Alternate

Professor Mark Isalan - Deputy Head of Department

Faculty of Natural Sciences, Department of Life Sciences

Professor of Synthetic Biology
 
 
 
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Contact

 

+44 (0)20 7594 6482m.isalan

 
 
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Location

 

509Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Greenig:2020:10.3389/fmolb.2020.565530,
author = {Greenig, M and Melville, A and Huntley, D and Isalan, M and Mielcarek, M},
doi = {10.3389/fmolb.2020.565530},
journal = {Frontiers in Molecular Biosciences},
pages = {1--14},
title = {Cross-sectional transcriptional analysis of the ageing murine heart},
url = {http://dx.doi.org/10.3389/fmolb.2020.565530},
volume = {7},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Cardiovascular disease accounts for millions of deaths each year and is currently the leading cause of mortality worldwide. The ageing process is clearly linked to cardiovascular disease, however, the exact relationship between ageing and heart function is not fully understood.  Furthermore, a holistic view of cardiac ageing, linking features of early life development to changes observed in old age, has not been synthesized.  Here, we re-purpose RNA-sequencing data previously-collected by our group, investigating gene expression differences between wild-type mice of different age groups that represent key developmental milestones in the murine lifespan.  DESeq2’s generalized linear model was applied with two hypothesis6testing approaches to identify differentially-expressed (DE) genes, both between pairs of age groups and across mice of all ages.  Pairwise comparisons identified genes associated with specific age transitions, while comparisons across all age groups identified a large set of genes associated with the ageing process more broadly.  An unsupervised machine learning approach was then applied to extract common expression patterns from this set of age-associated genes.  Sets of genes with both linear and non-linear expression trajectories were identified, suggesting that ageing not only involves the activation of gene expression programs unique to different age groups, but also the re-activation of gene expression programs from earlier ages.  Overall, we present a comprehensive transcriptomic analysis of cardiac gene expression patterns across the entirety of the murine lifespan.
AU  - Greenig,M
AU  - Melville,A
AU  - Huntley,D
AU  - Isalan,M
AU  - Mielcarek,M
DO  - 10.3389/fmolb.2020.565530
EP  - 14
PY  - 2020///
SN  - 2296-889X
SP  - 1
TI  - Cross-sectional transcriptional analysis of the ageing murine heart
T2  - Frontiers in Molecular Biosciences
UR  - http://dx.doi.org/10.3389/fmolb.2020.565530
UR  - https://www.frontiersin.org/articles/10.3389/fmolb.2020.565530/full
UR  - http://hdl.handle.net/10044/1/82347
VL  - 7
ER  -
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