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ATM is a key driver of NF-κB-dependent DNA-damage-induced senescence, stem cell dysfunction and aging

Jing Zhao, Lei Zhang, Aiping Lu, Yingchao Han, Debora Colangelo, Christina Bukata, Alex C. Scibetta, Matthew J. Yousefzadeh, Xuesen Li, Aditi U. Gurkar, Sara J. McGowan, Luise Angelini, Ryan O’Kelly, Hongshuai Li, Lana Corbo

Aging · 2020 · ▲ 114 citations

Genomic instability Cellular senescence Stem-cell exhaustion Mouse

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Abstract

mice with the ATM inhibitor KU-55933 suppressed markers of senescence and SASP. Taken together, these results demonstrate that the ATM kinase is a major mediator of DNA damage-induced, NF-κB-mediated cellular senescence, stem cell dysfunction and aging and thus represents a therapeutic target to slow the progression of aging.

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Provenance

Source: OpenAlex
DOI: 10.18632/aging.102863
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Fetched: 2026-07-18 MST

Cite this

APA

Zhao, J., Zhang, L., Lu, A., Han, Y., Colangelo, D., Bukata, C., Scibetta, A.C., Yousefzadeh, M.J., Li, X., Gurkar, A.U., McGowan, S.J., Angelini, L., O’Kelly, R., Li, H., Corbo, L., Sano, T., Nick, H., Pola, E., Pilla, S.P., & Ladiges, W. (2020). ATM is a key driver of NF-κB-dependent DNA-damage-induced senescence, stem cell dysfunction and aging. <em>Aging</em>. https://doi.org/10.18632/aging.102863

Vancouver

Zhao J, Zhang L, Lu A, Han Y, Colangelo D, Bukata C, et al. ATM is a key driver of NF-κB-dependent DNA-damage-induced senescence, stem cell dysfunction and aging. Aging. 2020. doi:10.18632/aging.102863.

BibTeX

@unpublished{jing2020ATMisa, title = {ATM is a key driver of NF-κB-dependent DNA-damage-induced senescence, stem cell dysfunction and aging}, author = {Jing Zhao and Lei Zhang and Aiping Lu and Yingchao Han and Debora Colangelo and Christina Bukata and Alex C. Scibetta and Matthew J. Yousefzadeh and Xuesen Li and Aditi U. Gurkar and Sara J. McGowan and Luise Angelini and Ryan O’Kelly and Hongshuai Li and Lana Corbo and Tokio Sano and Heather Nick and Enrico Pola and Smitha P.S. Pilla and Warren Ladiges and Nam Vo and Johnny Huard and Laura J. Niedernhofer and Paul D. Robbins}, journal = {Aging}, year = {2020}, doi = {10.18632/aging.102863}, }