Cross-Sectional Transcriptional Analysis of the Aging Murine Heart

Cardiovascular disease accounts for millions of deaths each year and is currently the leading cause of mortality worldwide. The aging process is clearly linked to cardiovascular disease, however, the exact relationship between aging and heart function is not fully understood. Furthermore, a holistic...

Full description

Bibliographic Details
Main Authors: Matthew Greenig, Andrew Melville, Derek Huntley, Mark Isalan, Michal Mielcarek
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmolb.2020.565530/full
id doaj-dc2ee6487edd43af951ea85a6e437964
record_format Article
spelling doaj-dc2ee6487edd43af951ea85a6e4379642020-11-25T03:47:12ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2020-09-01710.3389/fmolb.2020.565530565530Cross-Sectional Transcriptional Analysis of the Aging Murine HeartMatthew Greenig0Andrew Melville1Derek Huntley2Mark Isalan3Mark Isalan4Michal Mielcarek5Michal Mielcarek6Department of Life Sciences, Imperial College London, London, United KingdomDepartment of Mathematics, Imperial College London, London, United KingdomDepartment of Life Sciences, Imperial College London, London, United KingdomDepartment of Life Sciences, Imperial College London, London, United KingdomImperial College Center for Synthetic Biology, Imperial College London, London, United KingdomDepartment of Life Sciences, Imperial College London, London, United KingdomImperial College Center for Synthetic Biology, Imperial College London, London, United KingdomCardiovascular disease accounts for millions of deaths each year and is currently the leading cause of mortality worldwide. The aging process is clearly linked to cardiovascular disease, however, the exact relationship between aging and heart function is not fully understood. Furthermore, a holistic view of cardiac aging, 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 hypothesis testing 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 aging 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 aging 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.https://www.frontiersin.org/article/10.3389/fmolb.2020.565530/fullRNAseqtranscriptomicsheartagingcardiomyocytegene expression
collection DOAJ
language English
format Article
sources DOAJ
author Matthew Greenig
Andrew Melville
Derek Huntley
Mark Isalan
Mark Isalan
Michal Mielcarek
Michal Mielcarek
spellingShingle Matthew Greenig
Andrew Melville
Derek Huntley
Mark Isalan
Mark Isalan
Michal Mielcarek
Michal Mielcarek
Cross-Sectional Transcriptional Analysis of the Aging Murine Heart
Frontiers in Molecular Biosciences
RNAseq
transcriptomics
heart
aging
cardiomyocyte
gene expression
author_facet Matthew Greenig
Andrew Melville
Derek Huntley
Mark Isalan
Mark Isalan
Michal Mielcarek
Michal Mielcarek
author_sort Matthew Greenig
title Cross-Sectional Transcriptional Analysis of the Aging Murine Heart
title_short Cross-Sectional Transcriptional Analysis of the Aging Murine Heart
title_full Cross-Sectional Transcriptional Analysis of the Aging Murine Heart
title_fullStr Cross-Sectional Transcriptional Analysis of the Aging Murine Heart
title_full_unstemmed Cross-Sectional Transcriptional Analysis of the Aging Murine Heart
title_sort cross-sectional transcriptional analysis of the aging murine heart
publisher Frontiers Media S.A.
series Frontiers in Molecular Biosciences
issn 2296-889X
publishDate 2020-09-01
description Cardiovascular disease accounts for millions of deaths each year and is currently the leading cause of mortality worldwide. The aging process is clearly linked to cardiovascular disease, however, the exact relationship between aging and heart function is not fully understood. Furthermore, a holistic view of cardiac aging, 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 hypothesis testing 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 aging 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 aging 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.
topic RNAseq
transcriptomics
heart
aging
cardiomyocyte
gene expression
url https://www.frontiersin.org/article/10.3389/fmolb.2020.565530/full
work_keys_str_mv AT matthewgreenig crosssectionaltranscriptionalanalysisoftheagingmurineheart
AT andrewmelville crosssectionaltranscriptionalanalysisoftheagingmurineheart
AT derekhuntley crosssectionaltranscriptionalanalysisoftheagingmurineheart
AT markisalan crosssectionaltranscriptionalanalysisoftheagingmurineheart
AT markisalan crosssectionaltranscriptionalanalysisoftheagingmurineheart
AT michalmielcarek crosssectionaltranscriptionalanalysisoftheagingmurineheart
AT michalmielcarek crosssectionaltranscriptionalanalysisoftheagingmurineheart
_version_ 1724503041301807104