DNA damage response in single RPE-FUCCI cells
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ABSTRACT:
PROVIDER: PRJNA611825 | ENA |
REPOSITORIES: ENA
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Project description:The DNA damage checkpoint senses the presence of DNA lesions and controls the cellular response thereto. A crucial DNA damage signal is single-stranded DNA (ssDNA), which is frequently found at sites of DNA damage and recruits the sensor checkpoint kinase Mec1-Ddc2. However, how this signal – and therefore the cells’ DNA damage load – is quantified, is poorly understood. Here, we use genetic manipulation of DNA end resection at a site-specific DNA double-strand break (DSB) in budding yeast to generate quantitatively different DNA damage (ssDNA) signals. Interestingly, two major targets of the Mec1-Ddc2 kinase – Rad53 and γH2A – differ in their response to the ssDNA signal, indicating distinct signalling circuits within the checkpoint. The local checkpoint signalling circuit leading to γH2A phosphorylation is non-quantitative and unresponsive to increased amounts of damage-associated Mec1-Ddc2 kinase. In contrast, the global checkpoint signalling circuit, which triggers Rad53 activation, integrates the ssDNA signal quantitatively. We find that not only Mec1-Ddc2 association, but also loading of the 9-1-1 co-sensor complex is enhanced during ongoing resection. Moreover, we can uncouple global checkpoint activation from the amount of Mec1-Ddc2 kinase at the lesion by using mutant conditions that hyper-activate the 9-1-1 signalling axis and at the same time show reduced amounts of damage-associated Mec1-Ddc2 kinase. We therefore propose that a key function of the 9-1-1 complex and the downstream checkpoint mediators is to generate a checkpoint response, which is quantitative and proportional to the cellular DNA damage load. The DNA damage checkpoint senses the presence of DNA lesions and controls the cellular response thereto. A crucial DNA damage signal is single-stranded DNA (ssDNA), which is frequently found at sites of DNA damage and recruits the sensor checkpoint kinase Mec1-Ddc2. However, how this signal – and therefore the cells’ DNA damage load – is quantified, is poorly understood. Here, we use genetic manipulation of DNA end resection at a site-specific DNA double-strand break (DSB) in budding yeast to generate quantitatively different DNA damage (ssDNA) signals. Interestingly, two major targets of the Mec1-Ddc2 kinase – Rad53 and γH2A – differ in their response to the ssDNA signal, indicating distinct signalling circuits within the checkpoint. The local checkpoint signalling circuit leading to γH2A phosphorylation is non-quantitative and unresponsive to increased amounts of damage-associated Mec1-Ddc2 kinase. In contrast, the global checkpoint signalling circuit, which triggers Rad53 activation, integrates the ssDNA signal quantitatively. We find that not only Mec1-Ddc2 association, but also loading of the 9-1-1 co-sensor complex is enhanced during ongoing resection. Moreover, we can uncouple global checkpoint activation from the amount of Mec1-Ddc2 kinase at the lesion by using mutant conditions that hyper-activate the 9-1-1 signalling axis and at the same time show reduced amounts of damage-associated Mec1-Ddc2 kinase. We therefore propose that a key function of the 9-1-1 complex and the downstream checkpoint mediators is to generate a checkpoint response, which is quantitative and proportional to the cellular DNA damage load.
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Project description:Microarray analysis of murine retinal light damage reveals changes in iron regulatory, complement, and antioxidant genes in the neurosensory retina and isolated retinal pigment epithelium (RPE). With the advent of microarrays representing most of the transcriptome and techniques to obtain RNA from the isolated RPE monolayer, we have probed the response of the RPE and neurosensory retina (NSR) to light damage. Mice were exposed to 10,000 lux cool white fluorescent light for 18 hours and sacrificed 4 hours after photic injury. NSR and isolated RPE were collected, and RNA was isolated. DNA microarray hybridization was conducted as described in the Affymetrix GeneChip Expression Analysis Technical Manual. Microarray analysis was performed using probe intensity data derived from the Mouse Gene 1.0 ST Array. For the genes of interest, confirmation of gene expression was done using quantitative real-time PCR. Immunofluorescence assessed protein levels and localization.
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