Abstract
After DNA damage, the cell cycle is arrested to avoid propagation of mutations. Arrest in G2 phase is initiated by ATM‐/ATR‐dependent signaling that inhibits mitosis‐promoting kinases such as Plk1. At the same time, Plk1 can counteract ATR‐dependent signaling and is required for eventual resumption of the cell cycle. However, what determines when Plk1 activity can resume remains unclear. Here, we use FRET‐based reporters to show that a global spread of ATM activity on chromatin and phosphorylation of ATM targets including KAP1 control Plk1 re‐activation. These phosphorylations are rapidly counteracted by the chromatin‐bound phosphatase Wip1, allowing cell cycle restart despite persistent ATM activity present at DNA lesions. Combining experimental data and mathematical modeling, we propose a model for how the minimal duration of cell cycle arrest is controlled. Our model shows how cell cycle restart can occur before completion of DNA repair and suggests a mechanism for checkpoint adaptation in human cells.
Keywords: ATM, ATR, checkpoint recovery, G2, Plk1
Subject Categories: Cell Cycle; DNA Replication, Repair & Recombination
Introduction
DNA double‐strand breaks (DSBs) represent a serious threat to the genome integrity of a cell. Failure to recognize and repair these lesions can lead to mutations, genome instability, and cancer (Jackson & Bartek, 2009). To cope with DSBs cells launch a DNA damage response (DDR), involving a network of DNA damage sensors, signal transducers, and various effector pathways. Besides orchestrating DNA repair, a central component of DDR is activation of a checkpoint that blocks cell cycle progression (Bartek & Lukas, 2007; Medema & Macurek, 2011). This is particularly important in the G2 phase of the cell cycle, as cell division in the presence of DSBs may lead to aneuploidy and propagation of mutations to progeny. Surprisingly however, a growing body of evidence suggests that a cell cycle block is commonly reversed before all DNA lesions are repaired in both transformed and untransformed cells (Syljuasen et al, 2006; Deckbar et al, 2007; Tkacz‐Stachowska et al, 2011; Loewer et al, 2013). How cells correlate the checkpoint control with the completion of DNA repair and how they control the duration of a cell cycle arrest therefore remain unresolved issues.
Upon recruitment to DSBs, the ataxia telangiectasia mutated (ATM) kinase initiates a signaling cascade by phosphorylating more than 700 proteins, many of which are central proteins in various branches of the DDR (Matsuoka et al, 2007; Mu et al, 2007; Shiloh & Ziv, 2013). However, although crucial for initiating many of the responses, the role for ATM in maintaining a cell cycle arrest remains unclear, as acute inhibition of ATM after a checkpoint is initiated has limited effect on the efficiency of cell cycle resumption (Kousholt et al, 2012). Rather, ATM and Rad3‐related kinase (ATR), activated by the resected DNA ends, is a main controller of checkpoint duration (Sanchez et al, 1997; Shiotani & Zou, 2009).
To enforce a cell cycle arrest in G2, ATM‐ and ATR‐dependent signaling inhibits the activities of mitosis‐promoting kinases as cyclin‐dependent kinase 1 (Cdk1), Polo‐like kinase 1 (Plk1), and Aurora A (Lock & Ross, 1990; Smits et al, 2000; Krystyniak et al, 2006). In particular, ATM, ATR, and p38 activate Chk2, Chk1, and MK2, respectively, structurally distinct kinases that share similar consensus phosphorylation motifs (Reinhardt & Yaffe, 2009). Key targets of Chk1/Chk2/MK2 are Cdc25 phosphatases and their degradation or functional inactivation results in a rapid decrease in Cdk1 activity and suppression of cell cycle progression (Peng et al, 1997; Mailand et al, 2000; Reinhardt et al, 2007). In parallel, Plk1 is inactivated by ATM‐mediated dephosphorylation of Thr210 by phosphatase PP2A/B55α and by ATR‐mediated degradation of Bora, the co‐factor necessary for activation of Plk1 (Qin et al, 2013; Wang et al, 2015; Bruinsma et al, 2017). In addition to this rapid response, a checkpoint is reinforced by activation of p53 and expression of the Cdk inhibitor p21cip/waf and also by premature activation of APC/C‐Cdh1 that results in degradation of multiple proteins including Plk1 (Bunz et al, 1998; de Boer et al, 2016).
Interestingly, not only does ATM/ATR inhibit mitotic kinases, but the mitotic kinases have also been implicated in reversing the checkpoint. Both cyclin‐dependent kinase 1 (Cdk1) and Polo‐like kinase 1 (Plk1) phosphorylate multiple targets in the DDR (van Vugt et al, 2010). In particular, Plk1 promotes checkpoint recovery by inducing degradation of Claspin, a protein required for ATR‐dependent Chk1 activation (Mailand et al, 2006; Mamely et al, 2006; Peschiaroli et al, 2006). Plk1 activation is tightly linked to the central cell cycle engine, in which it in a feedback loop stimulates Cdk1 activity (Macurek et al, 2009). However, whereas Plk1 is redundant for unperturbed mitotic entry, it becomes essential for recovery from a DNA damage arrest in yeast and human cells, suggesting that Plk1‐mediated down‐regulation of the DDR is a key function to allow recovery from a cell cycle checkpoint (van Vugt et al, 2004). Identification of factors that control when Plk1 activity can start to accumulate during a DDR is therefore critical for understanding checkpoint recovery.
Here we show that DNA damage‐induced spread of ATM activity across chromatin prevents Plk1 activation. Activity of ATM is efficiently counteracted by the chromatin‐bound phosphatase Wip1, leading to Plk1 re‐activation despite the presence of active ATM at DNA break sites and active ATR. Based on a mathematical model, we suggest that the G2 checkpoint does not function by monitoring completion of repair but rather that the global ATM/Wip1 balance on chromatin controls the minimal duration of a checkpoint arrest.
Results
ATM kinase activity on chromatin is rapidly reversed
To monitor the DNA damage response pathway in live cells, we constructed ATM/ATR kinase activity reporter (ATKAR), a cellular biosensor that responds to phosphorylation by ATM and ATR. Depending on the type of DNA damage, ATM or ATR could phosphorylate ATKAR, which resulted in a change in Förster resonance energy transfer (FRET) efficiency in the nucleus, where presumably the predominant part of DNA damage signaling occurs (Figs 1A and EV1A–D). The kinetics of nuclear FRET‐ratio change differed between three DNA‐damaging agents in a manner that corresponded well with their different modes of action in causing DNA double‐strand breaks (DSBs). Whereas the topoisomerase II inhibitor etoposide and the nuclease cytolethal distending toxin (CDT) caused a slow accumulation of FRET‐ratio change, the radiomimetic neocarzinostatin (NCS) showed a rapid increase (Fig EV1B and C). Importantly, immunoprecipitation and live cell imaging experiments showed that ATKAR responded to ATM, but not to ATR or DNA‐PK activity after inducing double‐strand breaks with NCS (Figs 1B and EV1D–G). We therefore used ATKAR in combination with NCS to follow ATM activity in single live cells.
To study ATM activity at different subcellular locations, we either expressed ATKAR as a diffusible protein that does not shuttle rapidly across the nuclear membrane due to its size, or as a histone H2B fusion protein immobilized on chromatin. When comparing ATKAR and H2B‐ATKAR, we noted clear differences in their phosphorylation kinetics (Fig 1C–E). The nuclear response of ATKAR was detected within 2 min after addition of NCS and reached a steady state after 5 min, whereas H2B‐ATKAR rose at a slower pace and started to plateau after 20 min (Fig 1C). Similarly, although both ATKAR and H2B‐ATKAR showed a dose‐dependent response to NCS, ATKAR reached saturation already at 4 nM, whereas H2B‐ATKAR reached similar FRET‐ratio changes only at 32 nM (Fig 1D and E). Nuclear ATKAR signal remained high over time, whereas the H2B‐ATKAR signal started to revert within an hour after NCS addition at all concentrations in U2OS and MCF7 cancer cell lines or untransformed diploid RPE cells, suggesting that ATM‐mediated phosphorylation of an artificial substrate becomes less efficient when the substrate is targeted to chromatin (Figs 1D and E, and EV1H). Importantly, the FRET change of ATKAR and H2B‐ATKAR could be reverted by addition of an ATM inhibitor at various time points in the DDR, suggesting that the differential readout of both probes represent ATM activity (Figs 1B and EV1E and I). In contrast to ATKAR, a Plk1 biosensor showed similar nuclear kinetics whether or not coupled to H2B, indicating that fusion to histone H2B does not directly affect the FRET efficiency of this type of biosensor (Macurek et al, 2008) (Fig EV1J). Thus, the ATM‐dependent phosphorylation kinetics differs between nuclear‐soluble and chromatin‐bound ATKAR, where chromatin‐bound ATKAR is dephosphorylated rapidly after DSB induction.
Activation of Plk1 correlates with dephosphorylation of a chromatin‐bound ATM substrate
We next sought to follow ATM‐mediated phosphorylation throughout a DDR in single cells. We therefore monitored FRET‐ratios of single U2OS cells from before addition of NCS until recovery from a cell cycle arrest and subsequent mitotic entry. The NCS concentration was chosen to induce a clear cell cycle arrest in all cells, but at the same time allow for a subset of cells to eventually recover and resume cell division (Fig 2A). To focus on the cells that recovered from a cell cycle arrest, we monitored cells that resumed cell division within the first 24–33 h and synchronized them in silico upon mitotic entry. To detect when the cell cycle is restarted in this setup, we simultaneously followed cells expressing a Plk1 FRET probe. To minimize experimental variation, these cells were mixed with H2B‐ATKAR expressing cells and separated based on localization of the FRET probe. Strikingly, we find that Plk1 activity is detected around 15 h before mitotic entry, showing a clear correlation to when H2B‐ATKAR phosphorylation is reversed (Fig 2A). Similarly, in RPE cells depleted of p53 to allow recovery from a checkpoint, the appearance of Plk1 activity correlates with the disappearance of H2B‐ATKAR phosphorylation (Fig 2B). In contrast, ATKAR phosphorylation is sustained until mitotic entry, consistent with the large difference between ATKAR and H2B‐ATKAR also during initiation of a DDR (Figs 1C and 2C). Thus, Plk1 activity is observed once ATM‐dependent H2B‐ATKAR phosphorylation is reversed, consistent with a model in which ATM‐mediated phosphorylation blocks Plk1 activation.
ATM and ATR control Plk1 activity at different time‐scales during a DDR
To test if and when ATM controls Plk1 activation, we added a small molecule inhibitor to ATM at different time points of a DDR. Whereas activity of Plk1 was rapidly reduced in control G2 cells treated with NCS, inhibition of ATM early after NCS addition allowed sustaining high Plk1 activity as determined by the level of pT210‐Plk1 modification (Fig 3A). Similarly, using high‐content imaging of cells expressing a Plk1 activity reporter, G2 cells show intermediate activity and mitotic cells high activity. Upon ATM inhibition early after NCS addition, many cells sustained Plk1 activity (Fig 3B). Interestingly, inhibition of ATR also affected the amount of cells showing Plk1 activity, indicating that both ATM and ATR can control Plk1 activity after NCS addition (Fig 3B).
We next sought to investigate Plk1 activity once it restarted to promote recovery from a G2 checkpoint. As we previously reported, Plk1 activity is detected ~5 h before mitosis during both an unperturbed cell cycle and when cells containing damaged DNA are forced to enter mitosis by addition of caffeine (Macurek et al, 2008). However, in the absence of drugs that force a shutdown of the checkpoint, we detected a gradually increasing Plk1 activity from ~15 h before mitosis (Figs 2A and 3C). Thus, accumulation of Plk1 activity is slower during recovery from a DNA damage‐mediated cell cycle arrest compared to unperturbed growth (Liang et al, 2014). Interestingly, we find that inhibition of ATR completely reversed the slow Plk1 activation during spontaneous checkpoint recovery (Fig 3C and Appendix Fig S1A). This suggests a model in which both ATM and ATR control Plk1 activity, but function at different periods during a DDR (Fig 3D).
A prediction of such a model is that inhibition of ATM would only affect the cell cycle when a FRET change in H2B‐ATKAR is detected. In line with published reports, we find that inhibition of ATM simultaneously with induction of DNA damage overrides a checkpoint, whereas ATM inhibition after a checkpoint is instigated does not stimulate mitotic entry (Appendix Fig S1B), likely reflecting ATR activation due to ATM‐stimulated resection of DSBs (Kousholt et al, 2012). We therefore assessed the role of ATM in the presence of an ATR inhibitor. ATR inhibition did not markedly alter the dynamics of H2B‐ATKAR phosphorylation, and all cells that entered mitosis contained dephosphorylated H2B‐ATKAR several hours before recovery occurred (Fig 3E and Appendix Fig S1C). At NCS concentrations that allow spontaneous recovery, H2B‐ATKAR phosphorylation peaks 30 min after NCS addition and gradually declines until it is no longer detected 4–5 h later (Fig 1E). We therefore tested whether ATM inhibition had a synergistic effect on ATR inhibition at different time points after NCS addition. Interestingly, early after NCS addition, combined inhibition of ATM and ATR efficiently stimulated mitotic entry. In contrast, no synergistic effect was detected at later time points when H2B‐ATKAR phosphorylation was largely absent (Fig 3F and Appendix Fig S1B). Thus, our data are in support of a model in which ATM and ATR controls when Plk1 activity is initiated, whereas ATR counteracts Plk1 activity once initiated until cells reach mitosis (Fig 3D).
Cell cycle reactivation precedes complete termination of DDR during checkpoint recovery
ATM is activated at sites of double‐strand breaks, and we next sought to assess whether H2B‐ATKAR dephosphorylation and cell cycle restart corresponds to ATM inactivation at DNA damage foci. We therefore established a setup where we followed the appearance of Plk1 activity in live cells and subsequently fixed and quantified immunofluorescence from the same cells (Fig EV2A). Based on the level of Plk1 activity, we compared unperturbed G2 cells, cells in which Plk1 activity was reduced after NCS addition, and cells that had re‐initiated Plk1 activity after NCS addition (Figs 4A and EV2A). Interestingly, ATM‐dependent phosphorylation of H2AX and p53 as well as autophosphorylation of ATM remained after Plk1 was re‐activated (Fig 4B and C). Moreover, DNA repair proteins 53BP1 and Rad51 were present in nuclear foci after Plk1 re‐activation (Fig 4D). The notion that ATM activity is present at DNA damage foci after re‐activation of Plk1 is consistent with our observation that ATKAR, which is present in nucleoplasm but not targeted to chromatin, showed sustained nuclear ATM activity until mitosis after checkpoint recovery (Figs 2C and EV1I). Similarly, high‐content microscopy showed that Cdk1‐dependent phosphorylation of lamin A/C was present in G2 cells containing γH2AX foci (Figs 4E and EV2B) (Peter et al, 1990; Akopyan et al, 2014). Thus, Plk1 and Cdk1 activities that are both necessary for recovery from a G2 checkpoint can occur despite sustained ATM activity and despite repair proteins being assembled at DNA damage foci.
ATM activity is detected throughout chromatin upon localized DNA damage
Our results indicate that whereas ATM remains active throughout checkpoint recovery, H2B‐ATKAR responds to a subset of ATM activity that is silenced before Plk1 re‐activation. As H2B‐ATKAR is restricted to chromatin due to targeting by histone H2B, the detected ATM activity presumably occurs on chromatin. However, we did not detect enrichment of H2B‐ATKAR activity on DNA damage foci (not shown) and both γH2AX and pS1981 ATM staining persisted on foci after H2B‐ATKAR signal disappeared (Fig 4B and C), which indicates that ATM activity on DNA damage foci is poorly detected by H2B‐ATKAR. As DNA damage foci are restricted in size and histone H2B is present throughout chromatin, we therefore sought to test whether chromatin‐bound H2B‐ATKAR can be phosphorylated by ATM at sites distal to where DNA damage occurred. Upon localized DNA damage induced by laser microirradiation, H2B‐ATKAR detected a pan‐nuclear signal across chromatin, in contrast to γH2AX and BRCA1 that remained restricted in close proximity to DNA lesions (Fig 5A and B, and Appendix Fig S2A–C). During the time‐course of the experiment, there is little exchange of H2B‐ATKAR within chromatin, as YFP remained bleached in the microirradiated area (Fig 5A). However, due to this bleaching, caution is required when interpreting FRET changes within the damaged area. In addition, part of the global H2B‐ATKAR phosphorylation was sensitive to ATR inhibition, indicating that opposite to NCS, laser microirradiation can cause ATR‐dependent phosphorylation of H2B‐ATKAR. Nonetheless, inhibition of ATM abolished the FRET change of H2B‐ATKAR after laser microirradiation, indicating that ATM activity can reach chromatin far from the damaged area (Fig 5C). Taken together, this suggests that H2B‐ATKAR can detect phosphorylation across chromatin.
Wip1 phosphatase counteracts ATM activity at chromatin
We next sought to identify why ATM‐dependent phosphorylation of H2B‐ATKAR on chromatin is more rapidly reverted compared to phosphorylation of diffusible ATKAR. We reasoned that a chromatin‐associated phosphatase could account for the difference in phosphorylation between ATKAR and H2B‐ATKAR and analyzed effects of expression or depletion of PPM1D (referred to as Wip1), which is known to counteract ATM‐mediated phosphorylations including γH2AX and ATM‐pS1981 (Shreeram et al, 2006; Yamaguchi et al, 2007; Macurek et al, 2010). Indeed, expression of mCherry‐Wip1 efficiently suppressed the H2B‐ATKAR signal after NCS treatment, but less efficiently counteracted the diffusible ATKAR (Fig 6A). Conversely, depletion of Wip1 by shRNA‐mediated RNAi increased the H2B‐ATKAR signal after addition of NCS and delayed its reversal during the recovery (Fig 6A and B). Similarly, overexpression or depletion of Wip1 blocked or potentiated, respectively, the spreading of ATM activity at chromatin after localized DNA damage caused by laser microirradiation (Fig 6C and D). Previously, we have shown that Wip1 counteracts a p53‐mediated cell cycle exit and allows cells to maintain recovery competence during the G2 checkpoint arrest (Lindqvist et al, 2009). Here, we noted that Wip1‐depleted cells failed to revert the H2B‐ATKAR signal and did not enter mitosis despite the presence of an ATR inhibitor (Fig 6E). This suggests that Wip1 controls when ATM‐mediated signaling on chromatin is reversed to allow initiation of a cell cycle restart (Fig 6F).
ATM activity at chromatin determines the minimal duration of a checkpoint
To study possible implications of our findings, we assembled a simplified mathematical model in which ATM‐, Wip1‐, ATR‐, and Plk1‐dependent pathways are treated as functional entities (Fig 7A). The Plk1‐dependent pathways represent mitosis‐promoting cell cycle activities, and a high level of these activities is used as readout for mitosis (Fig 7B, top graph). The suppression of Plk1 by ATR represents multiple pathways, including ATR‐mediated phosphorylation of Bora and Chk1‐mediated phosphorylation of Wee1 (Lee et al, 2001; Qin et al, 2013). Similarly, the suppression of ATR by Plk1 represents many possible interactions, including phosphorylation of Claspin by Plk1 (Mailand et al, 2006; Mamely et al, 2006; Peschiaroli et al, 2006). Although we do not exclude that the cell cycle affects ATM‐dependent pathways, as for example through Chk2 or 53BP1 (van Vugt et al, 2010), we find no evidence for a major effect of Plk1 in regulating ATM activity (Fig EV3A).
Simulating this model in the absence of ATM, we found that ATR prolonged the duration before high cell cycle activities developed. However, although the balance between ATR and cell cycle‐promoting activities determined the duration of a cell cycle arrest, the rising self‐amplifying cell cycle activities eventually forced inactivation of ATR and subsequent mitotic entry (Fig 7B, middle graph). In the full model, ATM activity was present when damage was high, and was rapidly suppressed by Wip1 when damage declined. Importantly, the resulting pulse of ATM activity heavily suppressed cell cycle activities, thereby ensuring that cell cycle activities started from a low level once ATM activities were countered by Wip1 (Fig 7B, lower graph). The lower cell cycle activities resulted in less efficient suppression of ATR‐dependent activities, which in turn resulted in a delay before these ATR‐dependent activities could be inactivated (Fig 7B, middle and lower graphs). Thus, in this simulation, a pulse of ATM activity resets cell cycle signaling, thereby ensuring an extended delay before mitosis occurs.
The duration of this delay is likely influenced by factors not included in the simplified model, as p53‐ and p38‐dependent activities may influence the self‐amplifying buildup of cell cycle regulators (Bunz et al, 1998; Reinhardt et al, 2010). Similarly, the spatial separation of ATM activation on DNA breaks and ATM function throughout chromatin, where Wip1 phosphatase efficiently dephosphorylates ATM targets, may result in more rapid dephosphorylation of ATM. Nonetheless, the model describes a framework for how ATM‐ and ATR‐dependent signaling determines the minimal duration of a checkpoint.
A threshold of ATM activity controls whether checkpoint recovery can occur
We next sought to test the validity of the model. To this end, we used time‐resolved data of H2B‐ATKAR and Plk1 reporter to estimate model constants in U2OS cells (Fig EV3B and C), and compared simulation of decreasing amount of double‐strand DNA breaks to experimental data. In both the model and analysis of Plk1 FRET, ATM did not completely suppress Plk1 activity at low levels of DNA damage, but rather imposed a delay before an increase in Plk1 activity resumed (Fig EV3D and E). Correspondingly, once resumed, the steepness of Plk1 activation increased, leading to a shorter arrest in G2 phase (Fig EV3D and E). Thus, similar mechanisms that govern the minimal duration of a G2 arrest are present after both high and low amounts of DNA damage (Fig EV3F). However, one key difference is that at low initial amounts of DNA damage Plk1 activity is not completely suppressed. As a consequence, Plk1 will affect ATR‐mediated signaling throughout the response and the initial Plk1 activity will influence the duration of an arrest (Fig EV3G). Due to the reset of cell cycle activities at higher damages, the initial Plk1 activity will have little impact on the duration of a delay (Fig EV3G). Indeed, after damages that impose a significant delay before Plk1 activity can resume, both cells receiving damage in S and G2 phases recover, presumably due to that S‐phase cells progressed to G2 before ATM activity decreased (Figs 2A and EV3H).
We next used the simplified model to test how sustained DNA damage affects a cell cycle arrest. In the model, damage that sustains ATM activity will lead to a steady state with intermediate ATM‐mediated phosphorylation, low cell cycle activity, and sustained ATR activation (Fig EV3I). Importantly, the appearance of a steady state with low cell cycle activities indicates the presence of a threshold of DNA damage. Above this threshold cells will not enter mitosis, whereas below this threshold, Plk1 activity can start to increase and eventually silence the checkpoint (Fig 7C). To test this prediction, we identified three treatments that prolonged H2B‐ATKAR signal after NCS addition: depletion of CtIP or RNF8 by siRNA, and inhibition of DNA‐PK (Fig 7D). We found that mitosis was delayed after these three treatments, indicating that sustained ATM activation can block mitosis (Fig 7D). However, we do detect phosphorylated ATM, H2AX, and p53 in cells that have restarted Plk1 and Cdk1 activity (Fig 4B and E), indicating that a low level of active ATM is not sufficient to block mitosis. These data are consistent with a threshold of ATM activity determining whether cells will recover from a checkpoint (Fig 7C).
The notion of a threshold is in line with our finding that repair factors are present at DNA damage foci after Plk1 activation (Fig 4D). Similarly, we do not detect more than 20 γH2AX foci in RPE cells that have restarted Plk1 activity (Fig 4C), in agreement with the report that after radiation, fibroblasts can enter mitosis with up to 20 γH2AX foci (Deckbar et al, 2007). We propose that spread of ATM activity on chromatin has two functions. First, it enforces a checkpoint arrest above a threshold of DSBs. Second, by re‐setting cell cycle activities it ensures that once DSB repair has decreased below this threshold, there will be a delay before cell cycle activities can rise to eventually override ATR‐mediated signaling. The ATM‐dependent barrier thereby ensures a minimal duration between its own silencing by Wip1 and mitotic entry. Thus, although a cell cannot efficiently sustain a G2 checkpoint in the presence of low amounts of damage, ATM activity ensures a considerable delay in the cell cycle during which DNA repair can occur.
Kap1 is an ATM/Wip1 target on chromatin
We next sought to assess through which endogenous substrates ATM enforces a barrier to cell cycle restart. We found that similar to H2B‐ATKAR, DNA damage‐induced phosphorylation of Kap1‐S824 and SMC3‐S1083 spread throughout chromatin in an ATM‐dependent manner and rapidly declined due to dephosphorylation by Wip1 (Figs 8A and B, and EV4A and B). This is in accordance with previously reported chromatin‐wide effects of Kap1 (also known as TRIM28 or TIF1B) and SMC3 after DNA damage (Ziv et al, 2006; Kim et al, 2010). Focusing on Kap1, we found that Wip1 interacted with Kap1 and efficiently dephosphorylated Kap1 S824 in vitro and in situ (Figs 8C and D, and EV4C and D). Moreover, combined inhibition of ATM and depletion of Wip1 sustained Kap1 S824 phosphorylation, indicating that the observed effect on S824 phosphorylation was not caused by increased ATM activity in the absence of Wip1 (Fig EV4E). In addition to Wip1, we found that PP4 to some extent contributed to Kap1 dephosphorylation in untransformed RPE cells (Fig EV4F and G) (Bulavin et al, 2002; Rauta et al, 2006; Lee et al, 2012). In contrast to other ATM targets including γH2AX and pS15‐p53, Kap1 S824 was dephosphorylated before cell cycle resumption was initiated (Figs 4B and 8E and F). Thus, phosphorylation of Kap1 S824 and H2B‐ATKAR is both regulated by ATM and Wip1 and follows similar spatiotemporal dynamics. Whereas overexpression of the wild‐type Kap1 did not impact on the recovery of cells from the checkpoint, overexpression of the Kap1‐S824A mutant stimulated cell cycle restart after DNA damage, showing that phosphorylation of Kap1 can influence the duration of a DDR (Fig 8G). This finding is in agreement with previously reported function of Kap1 phosphorylation in transcriptional repression of multiple genes including p21 and in chromatin relaxation (Li et al, 2007; Lee et al, 2012). Taken together, ATM‐ and Wip1‐dependent regulation of Kap1 contributes to determine the duration of a cell cycle arrest, most likely in concert with other ATM and Wip1 targets.
Discussion
Our results suggest that the duration of a cell cycle arrest induced by DSBs in G2 phase is determined by three principal components. First, an ATM‐dependent signal that efficiently blocks cell cycle progression. This signal is not affected by cell cycle regulators, but is rapidly reversed by the phosphatase Wip1, likely complemented by other phosphatases. Second, an ATR‐dependent signal that counters cell cycle progression throughout the checkpoint. And third, the self‐amplifying mitotic entry network that counters the ATR‐mediated pathway in G2 phase, eventually leading to checkpoint recovery.
Plk1 and Cdk1 activity rise through G2 phase due to the self‐amplifying properties of the mitotic entry network (Macurek et al, 2009; Akopyan et al, 2014). Maintaining a self‐amplifying activity at a constant level is not a trivial task for a cell. Indeed, we recently found that during a DDR, cyclin B1 levels over time accumulate to levels far higher than is observed during an unperturbed cell cycle (Mullers et al, 2014). Thus, although ATR‐mediated activities slow down cell cycle progression, G2 activities may ultimately prevail and induce mitotic entry. In particular, Plk1 phosphorylates a large number of proteins involved in both DDR and cell cycle control and is essential for recovery from a cell cycle arrest in G2. By inhibiting Plk1 activity, ATM not only solidly enforces a cell cycle block, but also ensures that mitotic entry will be postponed to long after the ATM‐dependent signal is reversed.
The spatial regulation of the DDR on chromatin has recently attracted considerable attention (Altmeyer & Lukas, 2013). ATM activity is efficiently induced at damage sites, where it triggers establishment of DNA damage‐induced foci. A determinant of foci formation is ATM‐mediated phosphorylation of H2AX, which remains restricted to the damaged area, at least in part by insulation mediated by Brd4 (Floyd et al, 2013). Although DNA damage foci are likely to be crucial for repair and amplification of the DDR, the localized DNA damage needs to be communicated to the cell cycle machinery at a cellular scale. Here, we show that ATM activity is differentially maintained at distinct subnuclear compartments. Nucleoplasmic activity of ATM persists throughout the recovery, possibly because the counteracting Wip1 phosphatase is absent from the soluble nuclear fraction (Macurek et al, 2010) and ATM is inactivated by cytosolic phosphatases after nuclear envelope breakdown. Similarly, ATM in the foci remains active after the recovery has been initiated as documented by the rising Plk1 and Cdk1 activity. ATM present in the foci is likely continuously activated by persisting DNA lesions or possibly Wip1 may not be sufficient to abolish ATM activity in DNA damage foci until damage is repaired. In contrast, ATM activity present at undamaged chromatin distal to damage sites blocks cell cycle progression and is inactivated by Wip1 before the checkpoint recovery is initiated. In this sense, ATM's stimulatory effect on DNA repair may be sustained, while ATM's effect on the cell cycle is reversed. We suggest that the spatial separation of ATM activation and inactivation may be a powerful manner for simultaneously sustaining and terminating different aspects of ATM signaling.
In unicellular organisms, a checkpoint can eventually be overcome, despite that not all DNA lesions are repaired. In budding yeast, this process called adaptation depends heavily on the Plk1 homolog cdc5, which counteracts activating phosphorylation of the checkpoint kinase Rad53 (Toczyski et al, 1997; Donnianni et al, 2010). In contrast, multicellular organisms have evolved mechanisms that promote apoptosis or terminal cell cycle arrest, largely dependent on p53 (Bartek & Lukas, 2007; Belyi et al, 2010). We find that albeit the kinetics may differ, ATM‐Wip1‐Kap1 proteins function similarly in U2OS and RPE cells. However, untransformed RPE cells are more likely to terminally exit the cell cycle in G2, rather than to recover from DNA damage. Strikingly, the duration of the ATM activity present across chromatin overlaps with the time required for a DNA damage‐mediated cell cycle exit to become irreversible (Krenning et al, 2014; Mullers et al, 2014). We suggest that these mechanisms are inherent to all cells, but that they will only become apparent after inactivation of the p53 pathway. Of note, our model also elucidates the previously unexplained observations that cells can enter mitosis in the presence of low levels of damaged DNA (Lobrich & Jeggo, 2007). Such revival of adaptation may have deleterious consequences in multicellular organisms since segregation of unrepaired DNA during mitosis may cause aneuploidy and cancer.
Materials and Methods
Construction of ATM/ATR kinase activity reporter (ATKAR)
ATKAR is based on an established Plk1 biosensor (Fuller et al, 2008; Macurek et al, 2008), where the Plk1 target sequence from the parental biosensor was replaced with EPPLTQEI sequence derived from the residues 11–18 of human p53, a well‐established substrate of ATM and ATR kinases. To promote binding of the target site by FHA2 domain in the biosensor, the serine corresponding to Ser15 in p53 sequence was replaced by threonine and residue at +3 position was changed to isoleucine (Durocher et al, 2000). The DNA fragment corresponding to ATKAR was inserted in HindIII/XbaI sites of pcDNA4 plasmid. To generate H2B‐ATKAR, DNA fragment carrying H2B sequence was cloned in‐frame with ATKAR into the HindIII site. In contrast to a previously described ATM biosensor (Johnson et al, 2007), the FRET‐ratio change observed after NCS addition was largely reversed upon ATM inhibition, indicating that phosphorylation of ATKAR is reversible and depends on ATM activity also after initiation of a DDR.
Plasmids
Plasmid carrying human HA‐KAP1 was obtained from Addgene (ID: 45569; Liang et al, 2011). The S824A mutant of HA‐KAP1 was generated by Site‐directed mutagenesis kit (Agilent Technologies), and mutation was confirmed by sequencing. Fragments corresponding to HA‐KAP1‐WT and HA‐KAP1‐S824A were cloned into pcDNA4/TO plasmid. pRS‐Wip1 plasmid for shRNA‐mediated knockdown of Wip1 was described previously (Lindqvist et al, 2009).
Cell culture and transfections
U2OS, MCF‐7, and HEK293 cell lines and AT fibroblasts (GM05849, Coriell Institute) were cultured in Dulbecco's modified Eagle's medium (DMEM) + GlutaMAX (Life Technologies) supplemented with 6 or 10% heat‐inactivated fetal bovine serum, respectively (FBS, Hyclone), and 1% Penicillin/Streptomycin (Hyclone) at 37°C and 5% CO2. hTERT‐RPE1 cell lines were cultured in DMEM/Nutrient mixture‐F12 medium (DMEM/F12) + GlutaMAX (Life Technologies) supplemented with 10% heat‐inactivated fetal bovine serum and 1% Penicillin/Streptomycin (Hyclone) at 37°C and 5% CO2. To generate cells stably expressing ATKAR or H2B‐ATKAR, cells were transfected by linearized plasmids and selected by Zeocine for 3 weeks. For RNA interference experiments, cells were seeded at a density of 8,000 cells/well and transfected with SMARTpool ON‐TARGET plus siRNAs (20 nM, Dharmacon) targeting Wip1, ATR, CtIP, and p53, or RNF8 (20 nM, Thermo Scientific—GAGGGCCAAUGGACAAUUAUU) using HiPerFect (Qiagen) and OptiMEM (Life Technologies) at 48 h before analysis of phenotypes. Alternatively, cells were transfected with Silencer Select siRNA (5 nM, Life Technologies) targeting GAPDH (control), Wip1 (CGAAAUGGCUUAAGUCGAA), TP53 (GUAAUCUACUGGGACGGAA), or PP4C (UCAAGGCCCUGUGCGCUAA) using RNAiMAX (Life Technologies) and cells were analyzed 48 h after transfection. U2OS cells expressing KAP1 or KAP1‐S824A upon tetracycline induction were generated as described previously (Macurek et al, 2008). Where indicated, hRPE cells were synchronized in S‐phase by hydroxyurea (2 mM, 16 h), released to fresh media for 5 h to allow progression to G2 and treated with NCS for indicated times. To genetically inactivate TP53, hTERT‐RPE1 cells were transfected with a combination (1:1) of p53 CRISPR/Cas9 KO plasmid (coding for gRNA to the targeting sequences CCGGTTCATGCCGCCCATGC and CCCCGGACGATATTGAACAA) and a corresponding p53 HDR plasmid (Santa Cruz, sc‐416469) and stable clones were selected by treatment with puromycin (10 μg/ml) for 2 weeks. Correct targeting of both alleles of TP53 was confirmed by sequencing and loss of p53 expression by immunoblotting.
Live cell microscopy and Image processing
For live cell imaging, 8,000–10,000 cells were seeded in 96‐well imaging plates (BD Falcon) 24 h before imaging in CO2‐independent medium (Leibovitz's L15—Invitrogen) supplemented with 6 or 10% heat‐inactivated fetal bovine serum. Cells were followed on either a DeltaVision Spectris imaging system (Applied Precision) using a 20×, NA 0.7 objective, a Leica DMI6000 Imaging System using a 20×, NA 0.4 objective, or on an ImageXpress system (Molecular Devices) using a 20×, NA 0.45 objective. Images were processed and analyzed using ImageJ (http://rsb.info.nih.gov/ij/) or using custom written Matlab scripts. 1/FRET was quantified as the ratio of YFP emission–YFP excitation and CFP excitation–YFP emission as described previously (Hukasova et al, 2012). Unless stated otherwise, the median pixel value of the inversed nuclear FRET‐ratio was used. For spontaneous recovery of H2B‐ATKAR‐expressing cells, a moving average of 3 or 4 time points is shown.
Microirradiation
U2OS or RPE cells, grown on MatTek glass bottom dish (MatTek Corporation), were treated with 10 μM BrdU (Sigma) for 24 h. For microirradiation, the dish was mounted on stage of Leica DMI 6000B microscope stand (Leica) integrated with a pulsed nitrogen laser (20 Hz, 364 nm, Micropoint Ablation Laser System) that was directly coupled to the epifluorescence path of the microscope and focused through a Leica 40× HCX PL APO/1.25–0.75 oil‐immersion objective. Typically, 50 cells were microirradiated (150× 1pixel) in Leibovitz's L15 medium at 37°C, after which cells were either followed for 1 h or returned to incubator at 37°C to recover. Cells were fixed 1 or 24 h after microirradiation and analyzed on Zeiss LSM510 META confocal microscope equipped with a 63× Plan‐A (1.4 NA) oil‐immersion objective. Images were recorded using Zeiss LSM imaging software in multi‐track mode.
Immunofluorescence
For immunofluorescence, U2OS or RPE cells were seeded on 96‐well microscope plates (Falcon‐BD), or MatTek glass bottom dishes. Fixation was performed using 3.7% paraformaldehyde (Sigma) for 5 min at room temperature. Permeabilization was achieved by incubating cells with ice‐cold methanol for 2 min. Blocking, antibody and DAPI incubations were performed in TBS supplemented with 0.1% Tween‐20 (TBST) and 2% BSA (Sigma). Wash steps were performed in TBS supplemented with 0.1% Tween‐20. Images were acquired using either DeltaVision Spectris imaging system using a 20×, NA 0.7 objective, a Leica DMI6000 Imaging System using a 20×, NA 0.4 objective, or on an ImageXpress system using a 20×, NA 0.45 objective, and quantified as described (Akopyan et al, 2014).
Immunoprecipitation
U2OS or AT cells expressing ATKAR, H2B‐ATKAR, or H2B‐PLK1 FRET probe were collected 1 h after exposure to IR (5 Gy) or UVC (10–40 J/m2) or NCS (5–10 nM) and sonicated in cold IP buffer (50 mM HEPES pH 7.5, 250 mM NaCl, 0.25 NP‐40, 1% glycerol) supplemented with phosphatase inhibitor (PhosSTOP, Roche) and protease inhibitor (complete EDTA‐free, Roche). FRET probes were immunoprecipitated from cell extracts using GFP‐Trap (ChromoTek) for 2 h. Beads were washed three times with IP buffer and mixed with SDS sample buffer. Alternatively, HEK293 cells were transfected by empty EGFP or EGFP‐Wip1 plasmid using linear polyethylenimine MAX. After 48 h, cells were harvested to lysis buffer (50 mM Tris pH 7.5, 150 mM NaCl, 3 mM MgCl2, 10% glycerol, 1% Tween‐20, 0.1% NP‐40) supplemented with benzonase (25 U/ml), protease, and phosphatase inhibitors (Roche), sonicated, and incubated on rotary shaker overnight at 4°C. Cell extract was centrifuged 15 min 20,000 g at 4°C, supernatant was incubated with GFP‐Trap beads for 1 h at 4°C, beads were washed four times with lysis buffer, and bound proteins were eluted with SDS sample buffer.
Subcellular fractionation
Cells were treated with DMSO or 5 nM NCS and collected after 2, 6, or 20 h. Subcellular fractionation was performed as described before (Macurek et al, 2010). Cells were incubated in buffer A (10 mM HEPES, pH 7.9, 10 mM KCl, 1.5 mM MgCl2, 0.34 M sucrose, 10% glycerol, 1 mM DTT, 0.1% Triton X‐100, and protease inhibitor cocktail) at 4°C for 10 min and centrifuged at 1,500 g for 2 min. The cytosolic fraction was collected, and sedimented cells were further incubated with buffer B (10 mM HEPES, pH 7.9, 3 mM EDTA, 0.2 mM EGTA, 1 mM DTT) and centrifuged at 2,000 g for 2 min. Nuclear soluble fraction was collected, pooled with cytosol (together forming a soluble fraction), and mixed with 4× SDS sample buffer. Remaining chromatin fraction was mixed with 1.25× volumes of 1× SDS sample buffer. All samples were boiled, sonicated, and separated on SDS–PAGE.
In vitro and in situ phosphatase assay
Cells expressing HA‐KAP1‐WT or HA‐KAP1‐S824A were treated with DMSO or NCS (5 nM) for 1 h and then extracted using IP buffer. Cell extracts were immunoprecipitated for 2 h using monoclonal anti‐HA tag antibody (Santa Cruz, sc7392) immobilized at pA/G beads (Pierce). Beads were stripped with 0.5 M NaCl to remove proteins interacting with KAP1. Beads were incubated with purified His‐Wip1 (100 ng) in phosphatase buffer (40 mM HEPES pH 7.4, 100 mM NaCl, 50 mM KCl, 1 mM EGTA, 50 mM MgCl2) for 20 min at 30°C. The reaction was stopped by addition of 4× SDS sample buffer. Alternatively, cells grown on coverslips were treated with NCS (5 nM) for 1 h, fixed with 4% paraformaldehyde, permeabilized with 0.5% Triton X‐100 and in situ phosphatase assay was performed as described (Munoz et al, 2013). Samples were blocked with 3% BSA in PBS and incubated at room temperature in ISB buffer (50 mM HEPES pH 7.0, 10 mM MgCl2, 25 mM NaCl, 2 mM CaCl2, 1 mM DTT) and His‐Wip1 (0.25–10 ng/μl) for 1 h. Reaction was stopped by addition of 20 mM NaF and 20 mM β‐glycerolphosphate in PBS. Samples were incubated with a mixture of anti‐γH2AX and anti‐pS824‐KAP1 antibodies for 1 h. After washing, samples were incubated with secondary antibodies and DAPI. Imaging was performed on ScanR microscope (Olympus), and 1,000 nuclei were counted per condition.
Reagents and antibodies
The following antibodies were from Cell Signaling: phospho‐histone H3 (#3377); pChk1‐S345 (133D3; #2348); pATM‐S1981 (10H11.E12; #4526); pH2AX (20E3; #9718), pp53‐s15 (#9284; #9286), Phospho‐(Ser/Thr) ATM/ATR Substrate (#2851), pT210‐Plk1 (#9062), pT288‐AurA (#3079), AurA (#3092), pS296‐Chk1 (#2349), pS317‐Chk1 (#12302). Antibodies against pSMC3‐S1083 (#IHC00070), pKap1‐S824 (#A300‐767A and GTX63711), Kap1 (#A300‐274A and GTX62973), pS966‐SMC1 (A300‐050A), and PP4C (GTX114659) were from Bethyl Lab and GeneTex. Additional antibodies included pH2AX (Clone JBW301; #05‐636, Millipore), 53BP1 (#NB100‐304, Novus Biologicals), pS10‐H3 (#05‐806, Millipore), Rad51 (FE#7946, Biogenes), and Alexa‐ and FITC‐coupled antibodies (Life Technologies). Antibodies against GFP (sc‐8334), 14‐3‐3, p53 (sc‐6243), p21 (sc‐397), Wip1 (sc‐130655), His (sc‐8036), and BRCA1 (sc‐6945) were obtained from Santa Cruz. Neocarzinostatin (NCS), etoposide, and DMSO were from Sigma. ATM inhibitor (#4176 and #3544) and DNA‐PK inhibitor (#2828) were from Tocris Bioscience and used at 10 μM. Alternatively, DNA‐PK inhibitor NU7441 was used at 2 μM. ATR inhibitor VE821 (Reaper et al, 2011) was obtained from (Tinib‐Tools) or was synthesized according to published procedure (Charrier et al, 2011) and used at 1 μM. Plk1 inhibitor BI2536 was from Boehringer Ingelheim Pharma and used at 100 nM. CDT was a generous gift from Teresa Frisan.
Simulations
We wrote ordinary differential equations assuming Michaelis–Menten kinetics to simulate the relation between the variables Damage, Cell Cycle, ATM, and ATR. Damage was added at the beginning of a simulation and assumed to decrease over time, simulating quick repair by non‐homologous end joining and slow repair by homologous recombination. Cell cycle contains a positive feedback loop to simulate the auto‐amplifying property of the mitotic entry network, of which Plk1 is a part. ATM is activated by damage, but is efficiently counteracted by a constant to simulate the balance of ATM and Wip1 on chromatin. ATR, simulating ATR‐Chk1 activity, is activated by Damage, but inactivated by cell cycle to simulate Plk1 and Cdk1 phosphorylation of DDR components. Both ATM and ATR inhibit cell cycle.
The equations were solved using Copasi 4.8, build 35 (www.copasi.org/). Parameterization was performed manually, restricting constants to 1, 2, or 10. The model is available at biomodels.net with the accession number MODEL1704030000.
Equations
Constants and initial values of variables:
Constants | Value | Variables | Initial value |
---|---|---|---|
Kcc2a | 1 | CellCycleact | 1 |
Kcc2e | 1 | CellCycletot | 10 |
Kd2e | 1 | DHR | 3 |
Kd2t | 2 | DNHEJ | 7 |
Ke2cc | 1 | ATRact | 0 |
Km1 | 1 | ATRtot | 10 |
Km10 | 10 | ATMact | 0 |
Kt2cc | 10 | ATMtot | 10 |
Kti2t | 10 | ||
Km10t | 10 |
Model optimization (Parameter estimation)
The model was optimized sequentially based on experimental data of ATM and Plk1 activity dynamics during DNA damage conditions (Fig EV3B). Parameter estimation was performed using the evolutionary programming built‐in optimization method in COPASI. First, the inverted FRET‐ratio of H2B‐ATKAR in U2OS cells after addition of three concentrations of NCS was set as model ATM activity and used to estimate the values for Kd2t, Kti2t, and Km1. Next, the inverted FRET‐ratio of Plk1‐FRET in U2OS cells entering mitosis after NCS treatment was set as model Plk1 activity and used to estimate the values for Kt2cc and Km10t.
Constants and initial values of variables after optimization:
Constants | Value | Variables | Initial value |
---|---|---|---|
Kcc2a | 1 | CellCycleact | 1 |
Kcc2e | 1 | CellCycletot | 5 |
Kd2e | 1 | DHR | 0.6 |
Kd2t | 10.1794 | DNHEJ | 1.4 |
Ke2cc | 1 | ATRact | 0 |
Km1 | 26.3699 | ATRtot | 10 |
Km10 | 10 | ATMact | 0 |
Kt2cc | 6.58694 | ATMtot | 10 |
Kti2t | 31.054 | ||
Km10t | 0.119845 |
Simulation of sustained damage
For dependence on sustained damage, the constant K damage was introduced such that
The initial values were set as DHR = 0.6 – K damage/2 and DNHEJ = 1.4 – K damage/2 (Optimized model, Fig 7C) and DHR = 3 – K damage/2 and DNHEJ = 7 – K damage/2 (Initial model, Fig EV3I).
Author contributions
HJ, JB, EM, KA, KB, LM, and AL performed experiments and analyzed data. RHM, LM, and AL supervised the study. TK and TH generated reagents. HJ, LM, and AL wrote the manuscript. All authors revised the manuscript.
Conflict of interest
The authors declare that they have no conflict of interest.
Supporting information
Acknowledgements
We thank Marcel van Vugt, Camilla Sjögren, and Urban Lendahl for comments on the manuscript and Teresa Frisan and Nico Dantuma for kind gift of CDT and RNF8 siRNA. This work was supported by grants from the Swedish Research Council, the Swedish Foundation for Strategic Research, the Swedish Cancer Society and the Swedish Childhood Cancer Foundation (all to AL), Vinnova (TH), the Grant Agency of the Czech Republic (13‐18392S) and Norwegian Financial Mechanism 2009‐14 (Project Contract 7F14061, PHOSCAN). HJ was supported by the Wenner‐Gren Foundation and JB partly by the Grant Agency of the Charles University (project 836613).
The EMBO Journal (2017) 36: 2161–2176
Contributor Information
Libor Macurek, Email: libor.macurek@img.cas.cz.
Arne Lindqvist, Email: arne.lindqvist@ki.se.
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