What this is
- This research investigates the role of p53 in regulating DNA repair and inflammation in senescent cells.
- It identifies a mechanism linking genomic instability and inflammation through ().
- The study suggests that p53 activation suppresses formation and enhances DNA repair, potentially impacting aging and age-related diseases.
Essence
- p53 enhances DNA repair and suppresses inflammation in senescent cells by regulating (). This mechanism links genomic instability to inflammation, highlighting p53's role in maintaining genome integrity.
Key takeaways
- p53 suppresses the formation of (), which are linked to inflammation in senescent cells. By doing so, p53 helps maintain genome integrity and reduces the ().
- Mitochondrial ablation in senescent cells activates p53 by increasing nuclear retention of damaged DNA. This results in the upregulation of p53 target genes associated with DNA repair, demonstrating a complex regulatory mechanism.
- Pharmacological activation of p53 in aged mice reverses aging-related transcriptomic signatures and reduces immune cell accumulation in the liver, suggesting potential therapeutic avenues for age-associated diseases.
Caveats
- Some effects of MDM2 inhibitors may extend to p53-independent pathways, complicating the interpretation of results. Additionally, the study primarily focuses on models of DNA damage-driven senescence.
- The relevance of the p53- pathway to natural aging remains to be fully established, as the findings are based on specific experimental conditions.
Definitions
- senescence-associated secretory phenotype (SASP): A pro-inflammatory phenotype characterized by the secretion of various factors that contribute to chronic disease and aging.
- cytoplasmic chromatin fragments (CCF): Fragments of chromatin that escape the nucleus and can activate inflammatory pathways, particularly in senescent cells.
Simplified
Introduction
Cellular senescence is a cell fate initiated by severe cellular stress and characterized by specific phenotypes, including stable cell cycle exit1 and development of a heterogeneous, pro-inflammatory senescence-associated secretory phenotype (SASP)2. The SASP contributes to chronic disease vulnerability and frailty in aged animals3,4, which has led to efforts in development of therapies targeting senescent cells or senescence phenotypes to promote healthy aging5–8. Senolytic approaches that target and remove senescent cells are one area of intensive investigation, but they are still in early stages of potential clinical translation9.
An alternative approach to modulate senescence function, a so-called senomorphic approach, targets the SASP specifically. Although senomorphic approaches show some promise for reducing chronic disease burden such as cancer in vivo10–16, the molecular regulation of SASP and its relevance to age-associated disease vulnerability are poorly understood. There are many known regulators of the SASP, including mTOR10, GATA417, p38MAPK18 and p532. Paradoxically, p53, a master inducer of senescence, has been reported to be a suppressor of SASP2. A molecular explanation of this paradox has been lacking.
The SASP is also induced by cytoplasmic DNA19 such as LINE120 and mtDNA21. We have previously shown that the SASP is driven by a mitochondria-nucleus retrograde signaling pathway that promotes expulsion of cytoplasmic chromatin fragments (CCF) from the nucleus to the cytoplasm of senescent cells22. CCF are sensed by the cGAS/STING pathway, which activates the master transcriptional regulator of the SASP, NFkB23–26. However, the molecular regulation of CCF formation and the possibility of targeting this pathway in aged tissue in vivo remain unclear. Here, we identify a p53-regulated pathway that is subject to mitochondrial control, which suppresses CCF formation and the SASP, while also promoting DNA repair and genome integrity of senescent cells. We show that this pathway is pharmacologically targetable in cultured cells and mice, validating it as a target for senomorphic interventions and highlighting a function of p53 in safeguarding genome integrity of senescent cells.
Results
p53 suppresses CCF formation

p53 suppresses CCF formation. CCF staining by IF in irradiation-induced senescent IMR90 human fibroblasts. Each value represents an individual well from a culture plate, representative of = 2 experiments. Y-axis represents total number of CCF normalized to total number of nuclei.Western blot and CCF staining by IF in irradiation-induced senescent IMR90 human fibroblasts using timeframe described in Fig., representative of = 2 experiments.CCF staining by IF at indicated day after irradiation, average of 3 experiments.CCF and FLAG staining by IF in irradiation-induced senescent IMR90 transduced with exogenous p53 or empty vector. Each value represents a separate infection in a single experiment, representative of = 3 experiments.Cell number as measured by number of nuclei, normalized to DMSO control for each group, representative of = 3 experiments.DNA replication as measured by EdU incorporation assay. Except for = 1 proliferating control, each dot represents a separate irradiation, = 3, representative of = 2 experiments.Differentially expressed genes by RNAseq, = 3 per group with summarized KEGG ontology for each major cluster. See Supplementary Data for detailed ontology. Data shown as means ± SD, asterisk(*) indicates < 0.05 by two-tailed Student's t-test. Prolif proliferating control, BRCT Brca1-C-terminal sequence motif, EV empty vector, NTC non-targeting control, IR ionizing radiation-induced senescence. Source data are provided as a Source Data file. A B C D E F G n n n n n n n n p S1K 1
p53 activation promotes DNA repair

p53 activation promotes DNA repair. CCF formation and () nuclear γH2A.X foci number by IF in irradiation-induced senescent IMR90 human fibroblasts, representative of = 3 experiments. Each value represents one well of a culture plate, from a representative experiment.WB of γH2A.X in irradiation-induced senescent IMR90 cells from Fig., = 2 observations.qPCR analysis of p53 target genes in cells 4 days after irradiation, treated as indicated with RG7388 or DMSO control, = 3–6, representative of 3 experiments.IF quantitation of CCF, nuclear γH2A.X, p21, and cell number quantified by number of nuclei in irradiation-induced senescent IMR90 cells, representative of = 4 experiments.Neutral comet assay in irradiation-induced senescent IMR90 cells or proliferating control cells, representative of = 3 experiments.NHEJ reporter assay in irradiation-induced senescent I9A human fibroblasts, = 5 independent infections, representative of = 3 independent experiments. Data shown as means ± SD, asterisk(*) indicates < 0.05 by two-tailed Student's t-test. Prolif proliferating control, NTC non-targeting control, IR ionizing radiation-induced senescence, NHEJ non-homologous end joining. Source data are provided as a Source Data file. A B C D E F G n n n n n n n p S1J
p53 preserves genome integrity in senescent cells

p53 preserves genome integrity in senescent cells. Representative single nucleus whole-genome plots showing copy number variations and () predicted ploidy in irradiation-induced senescent IMR90 human fibroblasts, = 6, 10, 6 nuclei for Prolif, Senescent, and Senescent RG7388 groups respectively.Histogram of deletions, with each line an aggregation of all chromosomes per cell, = 4 senescent cells. Each chromosome is divided into 18 equal bins, where bins 1 and 18 are subtelomeric and bins 4-5 are pericentromeric.IF for CENPA in irradiation-induced senescent IMR90 cells, with arrows marking CCF, representative of = 3 experiments and () ImmunoFISH for telomeres and γH2A.X, representative of = 4 independent experiments.Quantitation of (and), where each CENPA+ marker represents = 3 separate irradiations from a representative experiment and each telomere+ marker represents = 4 independent experiments. Data shown as means ± SD, asterisk(*) indicates < 0.05 by two-tailed Student's t-test. Prolif proliferating control. Source data are provided as a Source Data file. A B C D E F D E n n n n n n p
MDM2i is senomorphic in vivo

MDM2i is senomorphic in vivo. WB of p53 and p21 in mouse liver and () quantitation, = 5, 5, 4 per group.TAF assay in female mice showing the percentage of hepatocytes with greater than 1 TAF, = 5, 4, 5 mice per group.Correlation between change in gene expression as a function of age and change in gene expression as a function of HDM201 treatment, among 4912 DE genes with age, = 5, 4, 5 mice per group with p-value calculated by simple linear regression.Heatmap combining 776 reversed DE genes, where the change in expression of a gene is opposed by HDM201 treatment, and 58 genes not reversed, with top 5 GO biological process terms for major hierarchical clusters (see also Fig.), = 5, 4, 5 mice per group.Ingenuity pathway analysis of DE genes showing top upstream regulators common between old vehicle vs. young vehicle (effect of age) and old HDM201 vs. old vehicle (effect of HDM201) comparisons, using a cutoff of < 1E-14 by right-tailed Fisher's exact test.Representative IPA target gene heatmap of STAT1.Flow cytometry analysis of immune cell frequencies isolated from spleen and liver, = 5, 5, 4 mice per group. Data shown as means ± SD, asterisk(*) indicates < 0.05 by two-tailed Mann-Whitney U test or () one-way ANNOVA. TAF telomere-associated DNA damage response foci, Veh vehicle control, DE differentially expressed. Source data are provided as a Source Data file. A B C D E F G H H n n n n p n p S5E
Mitochondria dampen p53 activity in senescence
Because CCF remove damaged DNA from the nucleus, a driver of p53 activation, we further reasoned that mitochondrial stress-associated CCF formation might indirectly regulate p53 activity by decreasing nuclear DNA damage burden. Specifically, we hypothesized that mitochondrial ablation in senescent cells would activate p53 by increasing nuclear retention of damaged DNA. Indeed, in a panel of 116 p53 target genes49, ablation of mitochondria in senescent cells significantly increased expression of 51 p53 target genes (FDR < 0.05) compared to control senescent cells, including CDKN1A, BBC3, XPC, and PPM1D associated with DNA repair (Fig. 5C). 19 p53 target genes were also downregulated under these conditions, suggesting a complex mechanism of regulation. Similar results were found in a second primary fibroblast line (Fig. S6C, D). This change in p53 target gene expression was accompanied by increased intranuclear γH2A.X and pS15-p53 (Fig. 5B, Fig. S6B), consistent with the idea that p53 activation results from elevated DNA damage and the DNA damage response pathway. To test this directly, we inhibited the kinase ATM, which activates p53 in response to DNA damage by phosphorylation of serine 1552,53. Pharmacological inhibition of ATM in senescent cells blocked transcriptional activation of p21 in response to ablation of mitochondria, suggesting that mitochondrial control of p53 activity is, at least in part, ATM-dependent (Fig. 5D, Fig. S6E). These data show that mitochondria in senescent cells dampen p53 gene expression, particularly among DNA repair-associated genes, in part through an ATM-dependent feedback pathway.
![Click to view full size Mitochondria dampen p53 activity in senescence. IF representative images and () quantitation of CCF and proportion of the nucleus staining positive for γH2A.X in irradiation-induced senescent Parkin-overexpressing IMR90 human fibroblasts. See Fig.for experimental timeline. Each value represents an individual well from a culture plate, from a representative experiment, = 3. Numbering indicates individual siRNA sequences.p53 target gene expression by RNAseq from ref., average of = 3 per group shown.qPCR of CDKN1A and corresponding IF quantitation of mitochondria content and CCF in irradiation-induced senescent Parkin-overexpressing IMR90 human fibroblasts. See Fig.for experimental timeline.Model. Data shown as means ± SD, asterisk(*) indicates < 0.05 by two-tailed t-test, (#) in panel () indicates < 0.05 vs siNTC-4. Prolif proliferating control, NTC non-targeting control, No tfn no transfection control, IR ionizing radiation-induced senescence, SASP senescence-associated secretory phenotype. Source data are provided as a Source Data file. A B C D E B S6A S6E n n p p [22]](https://europepmc.org/articles/PMC11882782/bin/41467_2025_57229_Fig5_HTML.jpg)
Mitochondria dampen p53 activity in senescence. IF representative images and () quantitation of CCF and proportion of the nucleus staining positive for γH2A.X in irradiation-induced senescent Parkin-overexpressing IMR90 human fibroblasts. See Fig.for experimental timeline. Each value represents an individual well from a culture plate, from a representative experiment, = 3. Numbering indicates individual siRNA sequences.p53 target gene expression by RNAseq from ref., average of = 3 per group shown.qPCR of CDKN1A and corresponding IF quantitation of mitochondria content and CCF in irradiation-induced senescent Parkin-overexpressing IMR90 human fibroblasts. See Fig.for experimental timeline.Model. Data shown as means ± SD, asterisk(*) indicates < 0.05 by two-tailed t-test, (#) in panel () indicates < 0.05 vs siNTC-4. Prolif proliferating control, NTC non-targeting control, No tfn no transfection control, IR ionizing radiation-induced senescence, SASP senescence-associated secretory phenotype. Source data are provided as a Source Data file. A B C D E B S6A S6E n n p p [22]
Discussion
These data provide evidence for a mitochondria-regulated p53-CCF circuit in senescent cells (Fig. 5E). This circuit controls DNA repair, genome integrity and SASP. p53 suppresses CCF formation and the SASP tightly linked to DNA repair, a pathway which is subject to feedback regulation by mitochondria. We show that activation of this pathway preserves genome integrity in senescent cells. The p53-CCF circuit is a potential target for anti-inflammatory and genome-stabilizing healthy aging interventions.
We note some limitations to this study. First, we acknowledge that some effects of MDM2i may extend to p53-independent pathways. However, in our cell culture model, we show that MDM2i suppression of CCF formation is dependent on p53 (Fig. 1B), likely due to stabilization of p53 protein levels (Fig. S2E). Second, we acknowledge that the senomorphic effects of MDM2i are primarily observed in DNA damage-driven irradiation- and etoposide-induced models of senescence, consistent with the DNA repair-associated mechanism by which p53 suppresses CCF formation (Fig. 2). However, elevated DNA damage is an established marker of senescence in vivo54,55, and we show evidence that this pathway is relevant to senescence-associated phenotypes and immune function in aged mice (Fig. 4), suggesting that this p53-CCF pathway is relevant to the natural aging process.
By single nucleus genome re-sequencing, we observed large deletions on the order of tens of millions of kilobases that tended to occur at the telomeric ends of chromosomes. CCF contained telomeres but not centromeres, suggesting the simple hypothesis that double-strand breaks are more likely to generate CCF if they are close to the end of a chromosome. Consistent with this, evidence from the literature shows that specific generation of DNA damage at telomeres is sufficient for CCF formation56. Because centromeres are 2-3 orders of magnitude larger than telomeres57, we might expect that CCF would contain more centromeric DNA by random chance. However, we do not observe this, which is consistent with a non-random genomic origin of CCF. However, we cannot formally exclude an alternate model, that the mechanism of chromatin loss from the ends of chromosomes is instead dependent on preferential retention of centromeres, which are known to be distended in senescence58. p53 is known as the guardian of the genome, in part by suppressing genome instability in precancerous cells35. Although many mechanisms are implicated, recent work has shown that p53 loss in the course of cancer evolution leads to deterministic loss of genome integrity on an individual cell basis59,60, perhaps consistent with our observation of a cell-intrinsic role for p53 in promoting genome stability in irradiation-induced senescence.
It has previously been reported that p53 suppresses the SASP2,61, consistent with the observation that p53 activity declines in senescence after cell cycle exit, while SASP increases62—but the mechanism of SASP suppression by p53 has been unclear. We show that p53 suppresses formation of CCF, which are known to activate the SASP through a cGAS-STING pathway23–26. Additionally, this finding integrates our previous observations that dysfunctional mitochondria in senescent cells drive CCF formation and SASP22,51. Altogether, we propose a model in which p53 preserves genome integrity on a single-cell basis by promoting repair of DNA DSBs. In senescent cells, this pathway is suppressed by mitochondrial dysfunction, which instead drives resolution of DNA damage by cytosolic expulsion of the damaged DNA as CCF. This expulsion appears to indirectly downregulate p53 and to require a second mitochondria-driven pathway independent of p53, perhaps related to autophagy33.
The role of p53 in aging is unclear—genetic manipulation of the p53 pathway is associated with either longevity or accelerated aging, depending on context63. The MDM2i UBX0101 has been explored as a senolytic in the context of osteoarthritis64, although a phase 2 clinical trial failed to demonstrate efficacy in humans65. Recently, the MDM2i BI01 was shown to have senolytic activity in aged mouse muscle66. However, in our in vitro models, we observe only SASP-suppressive senomorphic activity, not senolytic activity. We show the MDM2i HDM201 is potentially senomorphic in mouse liver. These effects were observed primarily in female mice, perhaps due to the treatment regimen used, which was established to minimize toxicity observed primarily in female mice at higher doses. The suppression of the inflammation-associated gene expression signature and the immunomodulation we observe is consistent with a growing literature on the anti-inflammatory effects of MDM2i in vivo67. A better understanding of MDM2 inhibitors in experimental aging models could be useful in the pursuit of interventions to promote healthy aging in humans.
Methods
This research complies with all relevant ethical regulations, as detailed below
Animals
This study was approved by the Institutional Animal Care and Use Committee at Sanford Burnham Prebys MDI (AUF 22-005). C57BL6 mice were purchased from Jackson Labs and Charles River and group housed at 21–24 °C, 30–70% humidity, and a 12 h light/dark cycle under specific pathogen free conditions with ad libitum access to water and food (Teklad 2018). Cohort 1 used 21 month-old female and 24-month old male C57BL6J mice and 4 month-old male and female C57BL6N mice. Cohort 2 used 22 month-old and 6 month-old female C57BL6J mice. Mice were treated with 10 mg/kg HDM201 (Novartis) suspended in phosphate-buffered methylcellulose according to the manufacturer's instructions (0.5% methylcellulose in phosphate buffer, pH6.8, 50 mM) by daily oral gavage in the morning. Mice were monitored daily and weighed every few days during treatment. After 14 days of treatment, mice were euthanized by CO2 asphyxiation in the morning, and tissues were fixed in 10% neutral buffered formalin (Epredia 9400-1) or flash frozen in liquid nitrogen, either whole or in OCT (Tissue-Tek 4583). Whole blood was counted using a hematology analyzer (Abaxis VetScan HM5).
Cell culture, senescence induction, and drug treatments
IMR90 primary human fibroblasts were purchased from the American Type Culture Collection (CCL-186) and grown at 37 °C, 3.5% O2, 5% CO2, in Dulbecco's modified Eagle's medium (Gibco 10313-121) with 10% FBS (Corning 35-0-11-CV), 1% penicillin/streptomycin (Gibco 15140-122) and 2 mM glutamine (Gibco 25030-081). Cells were checked routinely for mycoplasma contamination and tested negative. IR senescence was induced by 20 Gray x-ray irradiation of 20-30% confluent cells. Cells were split after returning to confluence in 3 days, then treated with MDM2 inhibitors, RG7388 (Selleckchem) and HDM201 (Novartis), starting day 4 after irradiation or day 5 after irradiation in experiments that also included siRNA treatment, unless otherwise noted. Unless otherwise indicated, cells were collected 10 or 11 days after irradiation. For longer-term treatments, drugs were replaced by media change every 3 days. RG7388 was used at 12.5 nM, or 100 nM (Fig. 1B; Fig. S2H; Fig. 2G; Fig. S3E, F), and HDM201 was used at 25 nM. IMR90 cells exogenously expressing Parkin and the method for mitochondria ablation are previously described (Vizioli) and 10 μM KU55933 was used for ATM inhibition experiments. For etoposide-induced senescence, 80% confluent IMR90 cells were treated with 50 mM etoposide for 48 h, RG7388 was added on day 4 after initiation of senescence, and cells were collected on day 7. 293 T cells were purchased from the American Type Culture Collection (CRL-3216). I9A human fibroblast cells40 were a gift from Dr. Vera Gorbunova. No commonly misidentified cell lines were used in this study.
Plasmids
pLV-hPGK-HA-53BP1-puro and pLV-EF1A-FLAG-p53-puro constructs were generated by Vectorbuilder. Mutations to 53BP1 are described in Fig.. pLV-TetOne-eBFP2-I-SceI-Puro was a gift from Dr. Vera Gorbunova. S1F
Lentivirus infection
For 53BP1 exogenous expression, lentivirus was generated from 293 T cells transfected with expression vector, VSVG envelope vector, and pMD2.G packaging vector in lipofectamine 2000 (Invitrogen 52887). Virus was collected over 3 days, then concentrated by ultracentrifugation. For p53 exogenous expression, concentrated lentivirus was generated by the SBP viral vector core facility using a proprietary protocol. Concentrated virus was titrated to the minimum amount required for > 90% cell viability after puromycin selection (1 μg/mL for 72 h). Infections were overnight (16 h), in the presence of 8 μg/mL polybrene (Millipore TR-1003-G).
siRNA transfection
Senescent cells were transfected 4 days after irradiation with 100 nM siRNA (Dharmacon siGENOME) in 0.8% Dharmafect reagent (Dharmacon) according to manufacturer's recommendations. Experiments used a pool of four siRNAs per gene unless otherwise noted. Cells were changed into regular media 18–20 h later, except sip21 experiments.
Antibodies
The following primary antibodies were used: 53BP1 (Cell Signaling Technology Cat#4937, RRID:AB_10694558), ATM (D2E2) (Cell Signaling Technology Cat#2873, RRID:AB_2062659), CENPA (Thermo Fisher Scientific Cat#MA1-20832, RRID:AB_2078763), Cyclin A (Santa Cruz Biotechnology Cat#sc-271682, RRID:AB_10709300), ANTI-FLAG M2 (Sigma-Aldrich Cat#F3165-2MG, RRID:AB_259529), Phospho-Histone H2A.X (Ser139) (Millipore Cat#05-636, RRID:AB_309864, Active Motif Cat#39117, RRID:AB_2793161), HA-probe (F-7) (Santa Cruz Biotechnology Cat#sc-7392, RRID:AB_627809), IgG control (Vector Laboratories Cat#I-1000, RRID:AB_2336355, Vector Laboratories Cat#I-2000, RRID:AB_2336354), IL8 (Abcam Cat#ab18672, RRID:AB_444617), MDM2 (Cell Signaling Technology Cat#51541, RRID:AB_2936381), p21 (Santa Cruz Biotechnology Cat#sc-817, RRID:AB_628072), p53 (Santa Cruz Biotechnology Cat#sc-126, RRID:AB_628082, Leica Biosystems Cat#NCL-p53-CM5p, RRID:AB_563933), Phospho-p53 (Ser15) (Cell Signaling Technology Cat#9284S, RRID:AB_331464), Phospho-ATM (Ser1981) (Abcam Cat#ab81292, RRID:AB_1640207), TOMM20 (Abcam Cat#ab56783, RRID:AB_945896). The following secondary antibodies were used: Goat anti-Mouse IgG, IgM (H + L) HRP (Thermo Fisher Scientific Cat#31446, RRID:AB_228318), Goat anti-Rabbit IgG, (H + L) HRP (Millipore Cat#AP307P, RRID:AB_92641), Goat anti-Mouse IgG (H + L), Alexa FluorTM 594 (Thermo Fisher Scientific Cat#A11032, RRID:AB_2534091), Goat anti-Rabbit IgG (H + L), Alexa FluorTM 488 (Thermo Fisher Scientific Cat#A11008, RRID:AB_143165). Antibodies used for flow cytometry are listed in Supplementary Data 3.
Western blot
For cells, blotting was done using standard approaches68. Briefly, cells were lysed in modified RIPA buffer (50 mM Tris-Cl pH 7.5, 0.25% sodium deoxycholate, 150 mM NaCl, 10 mM EDTA, 0.1% SDS, 1% Igepal, 1x dual protease and phosphatase inhibitor (Thermo 1861281)) and lysates were cleared by > 20000 g centrifugation. Protein was quantified by BCA assay (Pierce 23225), mixed with sample buffer, run on precast gels (Biorad), and transferred either with a Turbo semidry system (Biorad), or for 53BP1 experiments wet transfer in tris-glycine buffer (Biorad) with 5% methanol. Membranes were blocked in milk and imaged by ECL (Thermo 34095, Biorad Chemidoc). For mouse liver tissue, samples were lysed in modified RIPA buffer using a Bertin Technologies Precellys tissue disruptor. Full-length blots with size markers are supplied in the Source Data file.
Immunoprecipitation
Protein G Dynabead-antibody complexes were prepared as previously described22. Cells were washed 4 times in PBS, scraped in EBC500 (50 mM Tris-Cl pH 8, 500 mM NaCl, 0.5% Igepal, 2.5 mM MgCl2) with benzonase (250 U/mL), and lysed by rotating 30 minutes at 4 °C. Protein was quantified by BCA assay. Immunoprecipitations were run overnight at 4 °C, washed 7 times in NETN (20 mM Tris-Cl pH 8, 100 mM NaCl, 1 mM EDTA, 0.5% Igepal), and eluted in sample buffer.
Immunofluorescence
Cells were plated on PhenoPlateTM 96-well microplates (PerkinElmer), stained as described previously22, and imaged on a Nikon T2 microscope with automated image capture. Images were analyzed in NIS Elements AR v5.21.03 using dark background subtraction, thresholding, size exclusion, and automated partitioning to identify features. Measurements indicate total number of features divided by total number of nuclei, except in Fig. 5, where total mitochondrial or nuclear γH2A.X staining area is divided by total number of nuclei.
TAF staining and Immuno FISH
Staining was done as previously described21.
Comet assay
This assay was carried out following manufacturer's instruction for the neutral comet SCGE assay (Enzo, #ADI-900-166). Slides were placed flat in the dark at 4 C in the dark for 30 minutes. Slides were immersed in pre-chilled lysis solution (2.5 M NaCl, 100 mM EDTA pH10, 10 mM Tris Base, 1% sodium lauryl sarcosinate, 1% Triton x-100, Catalog No.4250-050-01) for 45 minutes. Electrophoresis was performed in TAE buffer (40 mM Tris base, 20 mM acetic acid, 1 mM EDTA disodium salt dihydrate) at 30 V for 15 minutes at room temperature. Automated comet analysis was performed using an open-source tool in ImageJ (Gyori et al 2014).
qPCR: Cells were lysed in Trizol (Ambion 15596026) and RNA was isolated using either a commercial kit (53BP1 and MDM2i RNAseq experiments; Direct-zol RNA Miniprep Kits, Zymo Research Cat#R2050) or with chloroform according to the manufacturer's protocol. RNA was converted to cDNA (RevertAid Reverse Transcriptase, Thermo Fisher Scientific Cat#EP0441, Ribolock RNase Inhibitor, Thermo Fisher Scientific Cat#EO0381, 5x reaction buffer for RT, Thermo Fisher) and gene expression quantified by a standard SYBR-based approach (PowerUpTM SYBRTM Green Master Mix for qPCR, Applied Biosystems Cat#A25741, QuanStudioTM 6 Flex Real-Time PCR System, 384-well, Applied Biosystems Cat#4485691).
RNA-seq
RNA was quantified by bioanalyzer and library preps were made by the SBP genomics core. Sequencing was done by the SBP genomics core or at UCSD Institute for Genomic Medicine. For analysis, raw fastq files were aligned to hg19 (53BP1 OE RNAseq) or hg38 (MDM2i in cell culture RNAseq), or mm10 (MDM2i in mice RNAseq) using STAR69 2-pass pipeline. Reads were filtered, sorted and indexed by SAMtools70. FPKM were generated using CuffLinks71 for downstream visualization. Genome tracks (bigWig files) were obtained by Deeptools72. Raw read counts were obtained by HTSeq73 for differential analysis. Differentially expressed genes were obtained by DESeq274. KEGG gene ontology was run using WebGestalt75, gene lists were compared using Venny2.1(https://bioinfogp.cnb.csic.es/tools/venny/index.html↗), and heatmaps were generated using Morpheus (https://software.broadinstitute.org/Morpheus↗).
Single cell genome resequencing
Cells were trypsinized, washed in PBS, and resuspended at 20x cell pellet volume in cold nuclear isolation buffer A with digitonin (50 nM HEPES pH 7.3, 150 mM NaCl, 1x dual protease and phosphatase inhibitor, 25 μg/mL digitonin) by pipetting. The suspensions were rotated at 4 °C for 30 minutes, then centrifuged at 500 g for 5 minutes at 4 °C. Nuclear pellets were washed twice with cold NIB-250 buffer (250 mM sucrose, 15 mM Tris-Cl pH 7.5, 60 mM KCl, 15 mM NaCl, 5 mM MgCl2, 1 mM CaCl2) and resuspended in sorting buffer (DPBS with 2% FBS, 0.5 mM spermidine, 500 ng/mL DAPI). Nuclei were sorted by FACSAriaII with a 100um nozzle (see also Fig. S7) into individual strip tubes, and libraries were generated by LIANTI43 or PicoPLEX Gold (Takara Bio). Libraries were sequenced by NOVAseq (Illumina). For analysis, the first 14 bases of both R1 and R2 reads were trimmed using CutAdapt76. Trimmed reads were then aligned to hg38 using Bowtie277. The sam files were transferred to bam files, then sorted and indexed using SAMtools70. Duplicates were removed using picard tools (https://broadinstitute.github.io/picard/↗) MarkDuplicates function. Copy number variation profiles were obtained via Ginkgo78.
NHEJ reporter assay
I9A cells were irradiated at 20 Gy, split 1:2 three days after irradiation, then on the next day infected with lentivirus containing I-SceI and treated simultaneously with 1 μg/mL doxycycline and 100 nM RG7388 or DMSO. 16 h later, virus was removed and treatments were refreshed. Cells were collected on day seven after irradiation and analyzed by flow cytometry using a BD LSRFortessa Cell Analyzer.
Cycloheximide chase assay
IMR90 cells were pretreated for 30 minutes with 12.5 nM RG7388 or DMSO, then treated in reverse with 100 μM cycloheximide for 1 or 3 h. The 0 h control was treated with DMSO for 3 h.
Mouse immune cell profiling by flow cytometry
Tissues were dissected and placed on ice-cold RPMI supplemented with 10% FBS. Single-cell suspensions of immune cells from the liver were obtained by mechanical disaggregation through a 70 µm cell strainer (VWR) and washed through with 10% FBS in RPMI. Liver samples were spun at 60 r.c.f. and 4°C for 2 min with no brake to pellet hepatocytes before percoll (Cytiva) centrifugation. The supernatant was collected, spun at 420 r.c.f. and 4°C for 4 min. The pellet was resuspended with 40% Percoll (Cytiva) in HBSS to further remove debris and hepatocytes. The isolated immune cells from the liver went through red blood cell lysis with ACK buffer (KD Medical) before counting cells on a hematocytometer. Splenocytes were isolated by passing cells through a 70 µm cell strained followed by red blood cell lysis with ACK buffer before being transferred to a 96-well U-bottom plate and resuspended in fluorescence-activated cell sorting (FACS) buffer (2% FBS in 1X PBS). Viability staining was performed using LIVE/DEAD fixable red stain (1 in 1000 in FACS buffer, Invitrogen) for 15 min at room temperature. Suspensions were then pelleted and resuspended in anti-CD16/32 antibodies (1:500, BioLegend) to block non-specific binding of Fc receptors. Cells were incubated with the indicated surface antibodies for 30 min at 4 °C. a FoxP3 transcription factor staining kit (eBioscience) was used for intracellular staining. Antibodies against intracellular proteins were diluted in 1X permeabilization buffer and added for 45 min at 4 °C. For cytokine staining, cells were stimulated with PMA (final concentration of 1 µg/mL) and ionomycin (Iono, Cell Signaling; final concentration of 1 µg/mL) for 4 h at 37 °C in the presence of brefeldin A (GolgiPlug, BD Biosciences; final concentration of 1 µg/mL) to block cytokine export from the golgi apparatus. 2% paraformaldehyde (PFA) was used to fix the cells after staining. Cells were resuspended in 100 µL 1X PBS and run on the FACSymphony A3 5-laser flow cytometer (BD Biosciences). Data were analyzed using FlowJo (v.10, BD Biosciences).
Histology
Formalin-fixed liver tissue was paraffin embedded, and sectioned using standard approaches. H&E, Picrosirius Red, and oil red-O staining was done by the SBP histology core using standard approaches and analyzed using Python 3.6.10. H&E images were scored by a trained pathologist (C.M.) for age-associated liver pathology. For Picrosirius Red, images were processed by applying a median filter to each RGB channel using a disk of size 2, then converted to HSV to isolate red hues with predefined thresholds. Noise was reduced by removing small objects, and the Picrosirius Red-stained areas were quantified as a ratio of stained area or intensity to the total non-white area. For oil red-O, images were processed using the OpenCV library for red droplet isolation via HSV color segmentation, followed by a 2 × 2 pixel morphological opening to refine droplet boundaries. Droplet count, size, and total area were quantified using skimage.measure.
Statistics & reproducibility
No statistical method was used to predetermine sample size. Sample sizes for cell culture experiments were determined empirically on a per-experiment basis. Sample sizes for animal experiments were determined by initial pilot experiments. For data generated by automated imaging, images that were out of focus or that contained technical artifacts were removed. For processed data, obvious outliers were verified by Grubb's test and removed. For cohort 1 of the animal experiments, one young male mouse was excluded from data analysis due to the presence of an open wound and suspected infection at time of collection. The experiments were not randomized, except for animal experiments, in which animals were randomly assigned into treatment groups. The investigators were not blinded to sample allocation during cell culture experiments and outcome assessment. However, to limit bias, immunofluorescence imaging was done using automated image capture in NIS Elements AR v5.21.03 in a predetermined pattern for each sample, and all images were scored by NIS Elements AR v5.21.03 software to avoid bias of manual scoring, with the exceptions of Figs. 2F and 3D. Blinding was used for initial sample processing and analysis for animal experiments, except for Fig. 4A.Statistical significance for routine assays was calculated in Graphpad Prism 10 or Microsoft Excel (Fig. S1B, Fig. S2I), using p < 0.05 as a threshold. For cell culture experiments, pairwise comparisons were done by two-sided Student's t-test assuming unequal variance between groups. Simple linear regressions were calculated in Graphpad Prism 10. Ingenuity pathway analysis used a right-tailed Fisher's exact test to determine a p-value cutoff for overlap between gene lists. For animal experiments, pairwise comparisons were done using a Mann-Whitney U test, or by one-way ANOVA (Fig. 4H) in Graphpad Prism 10. Biological sex was considered in the animal study design, with data for both sexes shown in Fig. S5.
Reporting summary
Further information on research design is available in the linked to this article. Nature Portfolio Reporting Summary
Supplementary information
Supplementary Information Description of Additional Supplementary Information Supplementary Dataset 1 Supplementary Dataset 2 Supplementary Dataset 3 Supplementary Dataset 4 Reporting Summary Transparent Peer Review file
Source data
Source Data