| dc.contributor |
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
|
| dc.contributor |
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
|
| dc.contributor |
Ward, Lucas D. |
|
| dc.contributor |
Kheradpour, Pouya |
|
| dc.contributor |
Iriarte, Benjamin |
|
| dc.contributor |
Kellis, Manolis |
|
| dc.creator |
Ward, Lucas D. |
|
| dc.creator |
Kheradpour, Pouya |
|
| dc.creator |
Iriarte, Benjamin |
|
| dc.creator |
Kellis, Manolis |
|
| dc.date |
2016-01-10T21:42:01Z |
|
| dc.date |
2016-01-10T21:42:01Z |
|
| dc.date |
2015-10 |
|
| dc.date.accessioned |
2023-03-01T18:06:10Z |
|
| dc.date.available |
2023-03-01T18:06:10Z |
|
| dc.identifier |
2045-2322 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/100784 |
|
| dc.identifier |
Yang, Jialiang, Tao Huang, Francesca Petralia, Quan Long, Bin Zhang, Carmen Argmann, Yong Zhao, et al. “Synchronized Age-Related Gene Expression Changes Across Multiple Tissues in Human and the Link to Complex Diseases.” Scientific Reports 5 (October 19, 2015): 15145. |
|
| dc.identifier |
https://orcid.org/0000-0002-8017-809X |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/278754 |
|
| dc.description |
Aging is one of the most important biological processes and is a known risk factor for many age-related diseases in human. Studying age-related transcriptomic changes in tissues across the whole body can provide valuable information for a holistic understanding of this fundamental process. In this work, we catalogue age-related gene expression changes in nine tissues from nearly two hundred individuals collected by the Genotype-Tissue Expression (GTEx) project. In general, we find the aging gene expression signatures are very tissue specific. However, enrichment for some well-known aging components such as mitochondria biology is observed in many tissues. Different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger “co-aging” than other tissues based on a principal component analysis. The aging gene signatures and complex disease genes show a complex overlapping pattern and only in some cases, we see that they are significantly overlapped in the tissues affected by the corresponding diseases. In summary, our analyses provide novel insights to the co-regulation of age-related gene expression in multiple tissues; it also presents a tissue-specific view of the link between aging and age-related diseases. |
|
| dc.description |
National Cancer Institute (U.S.) |
|
| dc.description |
National Human Genome Research Institute (U.S.) |
|
| dc.description |
National Heart, Lung, and Blood Institute |
|
| dc.description |
National Institute on Drug Abuse (NIDA) |
|
| dc.description |
National Institute of Mental Health (U.S.) |
|
| dc.description |
National Institute of Neurological Disorders and Stroke (U.S.) |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.publisher |
Nature Publishing Group |
|
| dc.relation |
http://dx.doi.org/10.1038/srep15145 |
|
| dc.relation |
Scientific Reports |
|
| dc.rights |
Creative Commons Attribution 4.0 International License |
|
| dc.rights |
http://creativecommons.org/licenses/by/4.0/ |
|
| dc.source |
Nature |
|
| dc.title |
Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases |
|
| dc.type |
Article |
|
| dc.type |
http://purl.org/eprint/type/JournalArticle |
|