Aging is associated with a systemic length-associated transcriptome imbalance

Stoeger T, Grant RA, McQuattie-Pimentel AC, Anekalla KR, Liu SS, Tejedor-Navarro H, Singer BD, Abdala-Valencia H, Schwake M, Tetreault M-P, Perlman H, et al. (2022)
Nature Aging 2(12): 1191-1206.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Stoeger, Thomas; Grant, Rogan A.; McQuattie-Pimentel, Alexandra C.; Anekalla, Kishore R.; Liu, Sophia S.; Tejedor-Navarro, Heliodoro; Singer, Benjamin D.; Abdala-Valencia, Hiam; Schwake, MichaelUniBi ; Tetreault, Marie-Pier; Perlman, Harris; Balch, William E.
Alle
Abstract / Bemerkung
Aging is among the most important risk factors for morbidity and mortality. To contribute toward a molecular understanding of aging, we analyzed age-resolved transcriptomic data from multiple studies. Here, we show that transcript length alone explains most transcriptional changes observed with aging in mice and humans. We present three lines of evidence supporting the biological importance of the uncovered transcriptome imbalance. First, in vertebrates the length association primarily displays a lower relative abundance of long transcripts in aging. Second, eight antiaging interventions of the Interventions Testing Program of the National Institute on Aging can counter this length association. Third, we find that in humans and mice the genes with the longest transcripts enrich for genes reported to extend lifespan, whereas those with the shortest transcripts enrich for genes reported to shorten lifespan. Our study opens fundamental questions on aging and the organization of transcriptomes.
Erscheinungsjahr
2022
Zeitschriftentitel
Nature Aging
Band
2
Ausgabe
12
Seite(n)
1191-1206
eISSN
2662-8465
Page URI
https://pub.uni-bielefeld.de/record/2969198

Zitieren

Stoeger T, Grant RA, McQuattie-Pimentel AC, et al. Aging is associated with a systemic length-associated transcriptome imbalance. Nature Aging. 2022;2(12):1191-1206.
Stoeger, T., Grant, R. A., McQuattie-Pimentel, A. C., Anekalla, K. R., Liu, S. S., Tejedor-Navarro, H., Singer, B. D., et al. (2022). Aging is associated with a systemic length-associated transcriptome imbalance. Nature Aging, 2(12), 1191-1206. https://doi.org/10.1038/s43587-022-00317-6
Stoeger, Thomas, Grant, Rogan A., McQuattie-Pimentel, Alexandra C., Anekalla, Kishore R., Liu, Sophia S., Tejedor-Navarro, Heliodoro, Singer, Benjamin D., et al. 2022. “Aging is associated with a systemic length-associated transcriptome imbalance”. Nature Aging 2 (12): 1191-1206.
Stoeger, T., Grant, R. A., McQuattie-Pimentel, A. C., Anekalla, K. R., Liu, S. S., Tejedor-Navarro, H., Singer, B. D., Abdala-Valencia, H., Schwake, M., Tetreault, M. - P., et al. (2022). Aging is associated with a systemic length-associated transcriptome imbalance. Nature Aging 2, 1191-1206.
Stoeger, T., et al., 2022. Aging is associated with a systemic length-associated transcriptome imbalance. Nature Aging, 2(12), p 1191-1206.
T. Stoeger, et al., “Aging is associated with a systemic length-associated transcriptome imbalance”, Nature Aging, vol. 2, 2022, pp. 1191-1206.
Stoeger, T., Grant, R.A., McQuattie-Pimentel, A.C., Anekalla, K.R., Liu, S.S., Tejedor-Navarro, H., Singer, B.D., Abdala-Valencia, H., Schwake, M., Tetreault, M.-P., Perlman, H., Balch, W.E., Chandel, N.S., Ridge, K.M., Sznajder, J.I., Morimoto, R.I., Misharin, A.V., Budinger, G.R.S., Amaral, L.A.N.: Aging is associated with a systemic length-associated transcriptome imbalance. Nature Aging. 2, 1191-1206 (2022).
Stoeger, Thomas, Grant, Rogan A., McQuattie-Pimentel, Alexandra C., Anekalla, Kishore R., Liu, Sophia S., Tejedor-Navarro, Heliodoro, Singer, Benjamin D., Abdala-Valencia, Hiam, Schwake, Michael, Tetreault, Marie-Pier, Perlman, Harris, Balch, William E., Chandel, Navdeep S., Ridge, Karen M., Sznajder, Jacob I., Morimoto, Richard I., Misharin, Alexander V., Budinger, G. R. Scott, and Amaral, Luis A. Nunes. “Aging is associated with a systemic length-associated transcriptome imbalance”. Nature Aging 2.12 (2022): 1191-1206.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar