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Cited by 234

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Basal Dynamics of p53 Reveal Transcriptionally Attenuated Pulses in Cycling Cells

Open access
Loewer, Alexander, Batchelor, Eric, Gaglia, Giorgio, Lahav, Galit·2010·Cell

Abstract

Summary The tumor suppressor p53 is activated by stress and leads to cellular outcomes such as apoptosis and cell cycle arrest. Its activation must be highly sensitive to ensure that cells react appropriately to damage. However, proliferating cells often encounter transient damage during normal growth, where cell cycle arrest or apoptosis may be unfavorable. How does the p53 pathway achieve the right balance between high sensitivity and tolerance to intrinsic damage? Using quantitative time-lapse microscopy of individual human cells we found that proliferating cells show spontaneous pulses of p53, which are triggered by an excitable mechanism during cell cycle phases associated with intrinsic DNA damage. However, in the absence of sustained damage, post-translational modifications keep p53 inactive, preventing it from inducing p21 expression and cell cycle arrest. Our approach of quantifying basal dynamics in individual cells can now be used to study how other pathways in human cells achieve sensitivity in noisy environments.

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Crossref · 10.1016/j.cell.2010.05.031

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Metadata

Authors
Loewer, A., Batchelor, E., Gaglia, G., & Lahav, G.
Venue
Cell
Publisher
Elsevier BV
Published
2010-07
Volume
142
Issue
1
Pages
89-100
ISSN
0092-8674 (ISSN-L)
OpenAlex
W1977497204
Cited by
234
References
14
FWCI
8.69
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Basal Dynamics of p53 Reveal Transcriptionally Attenuated Pulses in Cycling Cells. https://app.cochat.ai/papers/10.1016/j.cell.2010.05.031
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Loewer, A., Batchelor, E., Gaglia, G., & Lahav, G. (2010). Basal Dynamics of p53 Reveal Transcriptionally Attenuated Pulses in Cycling Cells. Cell. https://doi.org/10.1016/j.cell.2010.05.031

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.