Title |
Integromics network meta-analysis on cardiac aging offers robust multi-layer modular signatures and reveals micronome synergism
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Published in |
BMC Genomics, March 2015
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DOI | 10.1186/s12864-015-1256-3 |
Pubmed ID | |
Authors |
Konstantina Dimitrakopoulou, Aristidis G Vrahatis, Anastasios Bezerianos |
Abstract |
The avalanche of integromics and panomics approaches shifted the deciphering of aging mechanisms from single molecular entities to communities of them. In this orientation, we explore the cardiac aging mechanisms - risk factor for multiple cardiovascular diseases - by capturing the micronome synergism and detecting longevity signatures in the form of communities (modules). For this, we developed a meta-analysis scheme that integrates transcriptome expression data from multiple cardiac-specific independent studies in mouse and human along with proteome and micronome interaction data in the form of multiple independent weighted networks. Modularization of each weighted network produced modules, which in turn were further analyzed so as to define consensus modules across datasets that change substantially during lifespan. Also, we established a metric that determines - from the modular perspective - the synergism of microRNA-microRNA interactions as defined by significantly functionally associated targets. |
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Geographical breakdown
Country | Count | As % |
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France | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 1 | 2% |
Unknown | 60 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 21% |
Researcher | 10 | 16% |
Student > Bachelor | 9 | 15% |
Student > Master | 7 | 11% |
Professor | 4 | 7% |
Other | 11 | 18% |
Unknown | 7 | 11% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 18 | 30% |
Biochemistry, Genetics and Molecular Biology | 14 | 23% |
Medicine and Dentistry | 9 | 15% |
Engineering | 5 | 8% |
Social Sciences | 2 | 3% |
Other | 6 | 10% |
Unknown | 7 | 11% |