Nuclear stabilization of p53 requires a functional nucleolar surveillance pathway.
Nuclear stabilization of p53 requires a functional nucleolar surveillance pathway.
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DOI:
10.1016/j.celrep.2022.111571
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发表时间:
2022-11-01
期刊:
影响因子:
8.8
通讯作者:
中科院分区:
文献类型:
--
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The nucleolar surveillance pathway monitors nucleolar integrity and responds to nucleolar stress by mediating binding of ribosomal proteins to MDM2, resulting in p53 accumulation. Inappropriate pathway activation is implicated in the pathogenesis of ribosomopathies, while drugs selectively activating the pathway are in trials for cancer. Despite this, the molecular mechanism(s) regulating this process are poorly understood. Using genome-wide loss-of-function screens, we demonstrate the ribosome biogenesis axis as the most potent class of genes whose disruption stabilizes p53. Mechanistically, we identify genes critical for regulation of this pathway, including HEATR3. By selectively disabling the nucleolar surveillance pathway, we demonstrate that it is essential for the ability of all nuclear-acting stresses, including DNA damage, to induce p53 accumulation. Our data support a paradigm whereby the nucleolar surveillance pathway is the central integrator of stresses that regulate nuclear p53 abundance, ensuring that ribosome biogenesis is hardwired to cellular proliferative capacity. Identification of critical genes regulating p53 via nucleolar surveillance pathway (NSP) When disrupted, genes associated with ribosome biogenesis most potently stabilize p53 A functional NSP is essential for all nuclear-acting stresses to stabilize p53 The NSP ensures that ribosome biogenesis is synchronized with cellular proliferation Hannan et al. utilize genome-wide functional screening approaches to identify genes and pathways that, when perturbed, modulate p53 under ribosomal stress, including HEATR3. Their findings demonstrate that the nucleolar surveillance pathway is a primary integrator of all nuclear-acting stresses that stabilize p53.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
16.6
作者:
Calvino, Fabiola R.;Kharde, Satyavati;Ori, Alessandro;Hendricks, Astrid;Wild, Klemens;Kressler, Dieter;Bange, Gert;Hurt, Ed;Beck, Martin;Sinning, Irmgard
通讯作者:
Sinning, Irmgard
影响因子:
--
作者:
Han C;Sun L;Pan Q;Sun Y;Wang W;Chen Y
通讯作者:
Chen Y
影响因子:
--
作者:
Fancello L;Kampen KR;Hofman IJ;Verbeeck J;De Keersmaecker K
通讯作者:
De Keersmaecker K
影响因子:
14.9
作者:
Buchan, Daniel W. A.;Jones, David T.
通讯作者:
Jones, David T.