TY - GEN
T1 - Aging integromics
T2 - 15th International Conference on Biomedical Engineering, ICBME 2013
AU - Dimitrakopoulou, Konstantina
AU - Vrahatis, Aristidis G.
AU - Dimitrakopoulos, Georgios N.
AU - Bezerianos, Anastasios
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - In the emerging Systems Medicine field, the study of aging is re-evaluated and contextualized through the combination of ‘omics’ investigations (i.e. transcriptomic, proteomic, metabolomics, fluxomic). In particular, heart aging is a highly complex process in terms of molecular changes and the role of microRNAs (miRNAs) as key gene regulators has recently arisen. Towards this orientation, we describe a three-step methodological framework for designating markers of heart aging at the level of modules by integrating proteome and heart-specific transcriptome information in the mouse model. First, a Multilayer Large Scale Omics Network (MLSON) is constructed integrating two types of nodes (mRNAs and miRNAs) and three types of relations (mRNA-mRNA, miRNA-mRNA and miRNA-miRNA). Secondly, two adapted weighting schemes were designed and applied on MLSON, based either on mRNA or miRNA expression profiles, with the scope to pinpoint the significantly altered relations due to aging factor. Finally, an efficient module-detecting algorithm, namely Detect Module from Seed Protein (DMSP), is recruited so as to identify multilayer modular markers discriminative of the two states (young/old). Our large scale integromics approach is an enabling step towards elucidating heart longevity mechanisms at multiple levels. The identified modules provide novel biological evidence for the interference and synergistic effect of miRNAs in heart aging process.
AB - In the emerging Systems Medicine field, the study of aging is re-evaluated and contextualized through the combination of ‘omics’ investigations (i.e. transcriptomic, proteomic, metabolomics, fluxomic). In particular, heart aging is a highly complex process in terms of molecular changes and the role of microRNAs (miRNAs) as key gene regulators has recently arisen. Towards this orientation, we describe a three-step methodological framework for designating markers of heart aging at the level of modules by integrating proteome and heart-specific transcriptome information in the mouse model. First, a Multilayer Large Scale Omics Network (MLSON) is constructed integrating two types of nodes (mRNAs and miRNAs) and three types of relations (mRNA-mRNA, miRNA-mRNA and miRNA-miRNA). Secondly, two adapted weighting schemes were designed and applied on MLSON, based either on mRNA or miRNA expression profiles, with the scope to pinpoint the significantly altered relations due to aging factor. Finally, an efficient module-detecting algorithm, namely Detect Module from Seed Protein (DMSP), is recruited so as to identify multilayer modular markers discriminative of the two states (young/old). Our large scale integromics approach is an enabling step towards elucidating heart longevity mechanisms at multiple levels. The identified modules provide novel biological evidence for the interference and synergistic effect of miRNAs in heart aging process.
KW - Heart aging
KW - MRNA
KW - MicroRNA
KW - Module
KW - Network
UR - http://www.scopus.com/inward/record.url?scp=84928251095&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928251095&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02913-9_27
DO - 10.1007/978-3-319-02913-9_27
M3 - Conference contribution
AN - SCOPUS:84928251095
T3 - IFMBE Proceedings
SP - 104
EP - 107
BT - The 15th International Conference on Biomedical Engineering, ICBME 2013
A2 - Goh, James
PB - Springer Verlag
Y2 - 4 December 2013 through 7 December 2013
ER -