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. Author manuscript; available in PMC: 2011 Jan 2.
Published in final edited form as: DNA Repair (Amst). 2009 Nov 5;9(1):11. doi: 10.1016/j.dnarep.2009.09.013

Divergent cellular phenotypes of human and mouse cells lacking the Werner syndrome RecQ helicase

Kiranjit K Dhillon 1,2, Julia M Sidorova 3, Tina M Albertson 3,4, Judith B Anderson 3, Warren C Ladiges 5, Peter S Rabinovitch 3, Bradley D Preston 3, Raymond J Monnat Jr 1,3,6
PMCID: PMC2818259  NIHMSID: NIHMS151404  PMID: 19896421

Abstract

Werner syndrome (WS) is a human autosomal recessive genetic instability and cancer predisposition syndrome with features of premature aging. Several genetically determined mouse models of WS have been generated, however none develops features of premature aging or an elevated risk of neoplasia unless additional genetic perturbations are introduced. In order to determine whether differences in cellular phenotype could explain the discrepant phenotypes of Wrn−/− mice and WRN-deficient humans, we compared the cellular phenotype of newly derived Wrn−/− mouse primary fibroblasts with previous analyses of primary and transformed fibroblasts from WS patients and with newly derived, WRN-depleted human primary fibroblasts. These analyses confirmed previously reported cellular phenotypes of WRN-mutant and WRN-deficient human fibroblasts, and demonstrated that the human WRN-deficient cellular phenotype can be detected in cells grown in 5% or in 20% oxygen. In contrast, we did not identify prominent cellular phenotypes present in WRN-deficient human cells in Wrn−/− mouse fibroblasts. Our results indicate that human and mouse fibroblasts have different functional requirements for WRN protein, and that the absence of a strong cellular phenotype may in part explain the failure of Wrn−/− mice to develop an organismal phenotype resembling Werner syndrome.

1. INTRODUCTION

Werner syndrome (WS; OMIM 277700) is an autosomal recessive genetic instability and cancer predisposition syndrome that mimics premature aging [1]. WS patients have short stature and develop, beginning in the second decade of life, bilateral cataracts, scleroderma-like skin changes and premature graying and loss of hair. Affected individuals also have an elevated risk of age-associated diseases such as diabetes mellitus, osteoporosis, atherosclerotic cardiovascular disease and cancer. The latter two disease processes are the most common causes of premature morbidity and mortality in WS patients [1, 2].

The WS gene WRN (also known as RECQ3 or RECQL2) was identified in 1996 by positional cloning. It encodes a member of the evolutionarily conserved human RecQ helicase protein family [3]. WS is an autosomal recessive disease, and cells from WS patients contain WRN mutations that lead to the production of truncated, unstable WRN protein that is not appropriately localized to the nucleus [25]. For a complete listing of mutations and consequences see ‘The Werner Syndrome Locus-Specific Mutational Database’: http://www.pathology.washington.edu/research/werner/database/. RecQ loss-of-function mutations have also been found in two other heritable genetic instability-cancer predisposition syndromes: BLM mutations are found in Bloom syndrome (BS) patients, and RecQL4 mutations in a subset of Rothmund-Thomson syndrome (RTS) patients at high risk of developing osteosarcoma [68].

All five of the human RecQ helicase proteins share a conserved helicase domain possessing DNA-dependent ATPase and 3′-to-5′ helicase activities [911] (reviewed in [15]). WRN is unique among the human RecQ helicase proteins in possessing an additional 3′-to-5′ exonuclease activity encoded in an N-terminal domain [1214]. Purified WRN protein preferentially binds to and unwinds or degrades a number of substrates that mimic DNA metabolic intermediates. These include 3- and 4-stranded junctions such as synthetic Holliday junctions, D-loops and T-loops; model replication forks; bubble structures; G4 tetraplexes; and partial DNA duplexes [15]. In vivo functional correlates of these WRN biochemical data include defects in homology-dependent recombination resolution [1618], and a defect in cell cycle progression that may reflect a combination of S/G2 recombination and replication fork progression defects [19].

Several lines of evidence also indicate that telomeres may be an in vivo substrate for WRN (reviewed in [20, 21]). WRN colocalizes with the telomeric proteins TRF1 and TRF2, and binds to TRF2 and the telomere repeat binding protein POT1 [2226]. Other proteins that may modulate telomeric functions of WRN include non-homologous DNA end joining proteins such as DNA-PKcs, KU70/80 and DNA ligase IV [2735], and end or flap processing nucleases such as FEN1 [3638]. These associations have been shown to modify WRN catalytic activities in vitro, and in some instances the ability to process model telomeric repeat or other DNA repair substrates [26, 27, 3942]. In vivo functional correlates of these protein association data include a telomere lagging strand replication defect in WRN-deficient cells, and karyotypic instability associated with short or undetectable telomeres. Of note, these defects can be suppressed by telomerase expression [20, 21, 43, 44].

WS patient-derived cells and cell lines have a consistent cellular phenotype that can in part be understood in light of the above biochemical and functional data. WRN-deficient cells have reduced cell division potential [45, 46]; genomic instability with a mutator phenotype [47, 48]; and a distinct form of chromosomal instability referred to as variegated translocation mosaicism [49, 50]. WRN-deficient cells are also selectively sensitive to DNA damaging agents such as cis-Platinum (cis-Pt), camptothecin (CPT), and 4-nitroquinoline-1-oxide (4NQO) [5156].

Several genetically determined mouse models have been developed to analyze how Wrn loss promotes the pathogenesis of WS and associated disease processes. The best-characterized of these models contain either an in-frame deletion of the Wrn helicase domain with expression of a truncated protein that retains exonuclease activity (WrnΔhel/Δhel; [57]), or a Wrn null mutation with loss of protein expression (Wrn−/−; [58]). Only the latter model faithfully mimics the null mutations found in clinically ascertained WS patients [25]. Mouse cells from WrnΔhel/Δhel and Wrn−/− mice have discordant phenotypes: WrnΔhel/Δhel ES cells are sensitive to camptothecin-induced cell killing, whereas Wrn−/−/Blm+/− MEFs are not [57, 58]. Of note, neither mouse model displays premature aging or an elevated risk of tumorigenesis in the absence of additional perturbations. Wrn−/− mutant mice that have been telomerase-deficient for ≥3 generations do develop an age-dependent phenotype resembling WS that includes graying and loss of hair, osteoporosis, kyphosis, cataract formation and tumorigenesis with telomere shortening and karyotypic instability [5961]. We also showed recently that Wrn−/− mutant mice become hyperinsulinemic and insulin-resistant when fed a high fat diet [62], thus recapitulating the predisposition of WS patients to develop diabetes mellitus [1, 2, 63, 64]. Potential explanations for the discordant cellular and organismal phenotypes of Wrn-mutant mice and WS patients include mutation-specific differences; mouse strain-specific effects; and cell type- or species-specific differences. One example of the latter is the strong suppression of mouse–but not human–primary fibroblast proliferation by ambient (20%) oxygen [65, 66].

In order to better understand the consequences of WRN loss in mice and men, we systematically compared the cellular phenotypes of primary mouse ear fibroblasts (MearF) from fully backcrossed C57BL/6J Wrn−/− mice with WS patient-derived primary and transformed fibroblasts, and with newly derived, WRN-depleted primary human fibroblasts. Cell proliferation, γ-H2AX phosphorylation, cell survival after DNA damage and cell cycle progression were all quantified after growth in either physiologic (5%) or ambient (20%) O2. All of these assays had been previously used to identify and characterize the phenotype of WRN-mutant or WRN-depleted human cells (see, e.g. [19, 67]). Our results demonstrate that WRN loss confers a strong cellular phenotype in early passage human–though not mouse–primary fibroblasts. Our results may explain in part why Wrn-mutant mice fail to develop an organismal phenotype that resembles WS, and provide mechanistic clues to the origin of the discrepant cellular phenotypes of Wrn-deficient mice and WRN-deficient humans.

2. MATERIALS AND METHODS

2.1. Chemicals

cis-Platinum (cis-Pt), camptothecin (CPT), and bromodeoxyuridine (BrdU) were purchased from Sigma-Aldrich (St. Louis, MO). cis-Pt (2 mM) was resuspended in 0.09% NaCl and stored at −20 °C. CPT (1 mM) was resuspended in DMSO and stored at −20°C. BrdU (10 mM) was resuspended in H2O and stored protected from light at −20°C. All chemicals and drugs were diluted to working concentrations just prior to use.

2.2. Mouse breeding and survival analysis

C57BL/6J/129/BALB/c mice harboring a Wrn null mutation [58] (kindly provided by Dr. L. Guarente, MIT) were crossed to C57BL/6J mice for >10 generations to create congenic C57BL/6J Wrn+/− mice. Heterozygous Wrn+/− mice were then bred to generate wild-type and mutant sib pairs for survival analysis. Mice were multiply housed (1–5 mice per cage) in ventilated Allentown cages (model MBS75JRHMVX) containing Bed-O-Cob (Andersons, Maumee, OH) in a specific pathogen-free (SPF) facility at the University of Washington (Seattle, WA). All studies were conducted with contemporary mutant cohorts and wild type controls housed together in the same room. Food (irradiated Picolab Rodent Diet 20 #5053; PMI Nutrition International, Brentwood, MO) and reverse osmosis water were provided ad libitum. All supplies entering animal rooms were autoclaved. Rooms were maintained at 21–23° C, 45–55% humidity, with 28 air changes/hour and a 12 hr/12 hr light/dark cycle. Sentinel mice were tested quarterly for endo- and ectoparasites, mouse hepatitis virus, mouse parvovirus, and rotavirus and annually for Mycoplasma pulmonis, pneumonia virus of mice, reovirus-3, Sendai virus, and Theiler’s murine encephalomyelitis virus. All tests were negative. Experimental mice were not tested for Helicobacter species or the newly recognized mouse Norovirus.

Genotyping was confirmed twice, using genomic DNA obtained by tail snip at the time of weaning and at sacrifice and the previously published primer pairs pSL3093 × Common.2 and Common.2 × WT.1 [58]. The primer sequences were:

pSL3093: 5′ GCCTGCAGCTGGCGCCAT C 3′,

Common.2: 5′ CAATAACCAATGGAATTCTAAGC 3′

WT.1: 5′ TACATTTGCCATTTTAAGGTGGC 3′.

Mice were monitored daily, and animals were euthanized by CO2 inhalation when they met one of the following criteria: moribund; visible tumor >1 cm; ulcerating tumor; or dermatitis/self-inflicted wounds that did not respond to treatment with Betadine. Moribund animals were identified on the basis of respiratory distress, decreased activity, or visibly evident loss of body weight. Prism4© software (GraphPad) was used for Kaplan-Meier survival analysis by log-rank comparisons. All procedures were approved by the University of Washington Animal Care and Use Committee.

2.3. Generation of primary mouse and human fibroblast strains

Mice were sacrificed by CO2 inhalation at age 6-to-7 months, and ear tissue was used to generate primary fibroblast strains. Ear tissue was sterilized with Povidone-Iodine swabsticks (PDI, Orangebury, NY), rinsed with 70% ethanol and PBS containing penicillin/streptomycin and 2X Fungizone (Invitrogen, Carlsbad, CA), then minced in PBS containing 1 mg/ml collagenase/dispase (Roche Applied Science, Indianapolis, IN). Tissue fragments were gently rotated at 37° C in a 5% O2 incubator for 45 min, then overnight at 37° C after adding 5 ml of media. Tissue was further dissociated by pipetting, and then filtered through a 100 mm mesh nylon filter (BD Biosciences, San Jose, CA) prior to centrifugation and resuspension in fresh growth media.

New human primary fibroblast cultures were generated from neonatal foreskin tissue by a similar protocol. Tissue was washed in PBS containing penicillin/streptomycin, and then dissociated in PBS supplemented with Dispase II (0.5 g in 7 ml PBS; Roche Applied Science, Indianapolis, IN) for 2 days at 4°C. The resulting tissue fragments were minced and incubated overnight at 37°C in media containing 20 mg/ml collagenase type I (Worthington Biochemical, Lakewood, NJ). Cells were collected by centrifugation, resuspended in fresh growth media and divided between two 100 mm plates for growth in 5% O2 or in 20% O2.

Mouse and human cells were grown in Dulbecco Modified Eagle’s Medium (DMEM) with 4.5 g/L glucose and pyruvate (BioWhittaker, Walkersville, MD), supplemented with 2 mM L-glutamine, 10% (v/v) Fetal Clone III serum (Hyclone, Logan, UT), penicillin G (100 U/ml) and streptomycin sulfate (100 mg/ml; BioWhittaker, Walkersville, MD) and 2X non-essential amino acids (BioWhittaker, Walkersville, MD) in a humidified 37°C, 7% CO2 incubator in 5% or 20% O2. WRN depletion from human fibroblasts was performed and verified by Western blot as previously described [67]. Cell phenotyping assays were performed using early passage mouse ear fibroblasts at population doubling level (PDL) 6 to10, or WRN-depleted human fibroblasts at PDL 8 to 15.

2.4. Cell proliferation and survival analyses

Growth curves were generated for mouse and human primary fibroblast cultures by plating 5000 cells/well in 6-well plates, and performing serial cell counts every 2–3 d. In order to determine survival of MearFs after DNA damage, cells (100, 200 or 500/well) were plated in 6-well plates and allowed to attach overnight prior to treating with cis-Pt (1 μM or 2 μM) or CPT (50 nM or 100 nM) for 24 hrs. Cells were then washed once with PBS and fed with complete growth medium lacking drug. Colonies formed after 6–7 d growth were fixed and stained with crystal violet to identify colonies of ≥6 cells to determine colony forming efficiency (CFE) [17, 67]. Human fibroblast survival after DNA damage was determined by plating 1.5 × 105 cells in 60 mm plates, allowing attachment overnight, and then treating with cis-Pt (1 μM) or CPT (5nM or 10 nM) for 24 hrs in 5% or 20% O2. Treated cells were then trypsinized and plated (2 or 10 cells/well in 200 μl of growth medium) in the central 60 wells of 96-well plates for growth in 5% or 20% O2. After 10 d growth, wells were fixed and stained with crystal violet to determine CFE as described above.

Flow cytometric analyses of cell cycle progression were performed using cells that had been labeled with 50 μM BrdU for 2 hrs, and then harvested either immediately or after additional growth in BrdU-free medium. Labeled cells were fixed with cold 66% ethanol in PBS, and denatured in 2N HCl/0.5% Triton X100 for 30 min prior to neutralization in 100mM Na borate pH 8.5 and resuspension in IFA buffer (10mM HEPES pH7.4, 150mM NaCl, 5% normal goat serum, 0.1% Na azide) supplemented with 0.5% Tween 20. Fixed and denatured cells in IFA buffer were then stained with a mouse anti-BrdU antibody (BD Biosciences, San Jose, CA; 10 μL/106 cells) for 1 hr at 4°C prior to staining with an Alexa 488-conjugated anti-mouse secondary antibody (Invitrogen Molecular Probes, Carlsbad, CA) for 1 hr at 4°C in the dark. Immunostained cells were then washed once in IFA/Tween buffer and resuspended in PBS containing 10μg/mL propidium iodide and 100μg/mL RNAse A for analysis on an inFlux® flow cytometer (Cytopeia Inc., Seattle, WA). The positions of BrdU-positive and -negative cell populations were determined by comparison with mock-stained, negative control samples that had not been BrdU-labeled. Cells with Alexa 488 fluorescence above the negative control were considered BrdU-positive, and used to determine cell cycle progression as a function of time after labeling. Cell cycle fractions were estimated using FCS Express (De Novo Software, Los Angeles, CA) or M-cycle (Phoenix Flow Systems, San Diego, CA). Data analysis and figures were generated using Summit software (Dako, Carpinteria, CA).

2.5. Flow cytometric analysis of γ-H2AX content

Flow cytometric analysis of γ-H2AX content was performed as previously described with modification [68, 69]. In brief, mouse and human primary fibroblasts (1–2 × 105 cells) were scrape-harvested, fixed and then immunostained with mouse anti-γ-H2AX primary antibody (Upstate Cell Signaling-JBW301) followed by a goat anti-mouse secondary antibody conjugated with Alexa 488-IgG (Molecular Dynamics A11001) for, respectively, 1 hr and 2 hrs. Immunostained cells were then washed and suspended in Tris-buffered saline containing 10μg/ml propidium iodide for flow cytometry. The position of γ-H2AX-positive cells in flow cytometric profiles was determined by comparison with mock-stained samples that had not been incubated with anti-γ-H2AX antibody. Control MearF and human fibroblasts grown in 5% O2 were used to define baseline staining to include 1% of the cell population in the positive cell fraction (Gate 1). A second gate included all cells while excluding cell debris (Gate 2). The fraction of cells included in Gate 1 vs. Gate 2 was then expressed as the % of γ-H2AX-positive cells above background staining. When comparing multiple cell strains between individuals or within an individual after treatment (e.g., after CPT treatment), the threshold for γ-H2AX-positive cells was established within an experiment by using the control mouse or human Wrn/WRN+ fibroblast culture grown in 5% O2 that had the lowest absolute staining. This gating was then applied to all samples within an experiment to determine the ‘fold’ difference in % γ-H2AX-positive cells versus the lowest control or an untreated culture.

2.6. Immunofluorescence microscopy of γ-H2AX foci

Immunofluorescence microscopy was performed on cells fixed in 2% paraformaldehyde and permeabilized with cold methanol prior to immunostaining for 1 hr each with a mouse monoclonal anti-phosphohistone H2AX (Ser 139) IgG primary antibody (Upstate Cell Signaling-JBW301) followed by a goat anti-mouse secondary antibody conjugated with Alexa 488-IgG (Molecular Probes A11001). Immunostained nuclei were counterstained with DAPI and cells were examined using a Zeiss Axiovert confocal microscope. Digital images were captured at 40X and 63X magnification using the same exposure setting for green fluorescence (γ-H2AX) across all samples within a series to allow a direct comparison of γ-H2AX staining between samples. Images were exported as JPEG files and used with no additional processing other than cropping, with the exception of the three panels displaying Wrn−/− cells in Figure 8A in which overall image brightness and contrast were increased uniformly using Adobe Photoshop in order to make the DAPI counterstain more visible.

FIGURE 8. Induction of γ-H2AX focus formation by oxygen and by camptothecin in mouse and human cells.

FIGURE 8

A. Examples of γ-H2AX nuclear focus formation in human and mouse fibroblast cultures. The bar above images indicates patterns that were considered focus-positive on the basis of size and number of staining foci. Note that CPT elicited an additional class of very brightly stained mouse and human fibroblasts (+CPT panels). Images of human cells were generated at 63X magnification and mouse cells at 40X magnification. key: green, γ-H2AX staining; blue, DAPI/DNA counter-staining. B. Representative examples of γ-H2AX nuclear focus formation in mouse Wrn+/+ and Wrn−/− mouse fibroblasts grown in 5% (left panels), shifted transiently from 5% oxygen to grow in 20% O2 for 96 hrs prior to staining (center panels), or after treatment with CPT (5 uM for 1 hr) in 5% oxygen (right panels) followed by 1hr recovery prior to immunostaining. key: green, γ-H2AX staining; blue, DAPI/DNA counter-staining. Note the presence of occasional, intensely stained cells in CPT-treated samples as were observed in A. +CPT panels. C. Quantification of focus-positive mouse fibroblasts grown in 5% O2, switched from 5 to 20% O2 for 96 hrs, or treated with CPT as described in (B). Between 120–300 cells were analyzed for each mouse fibroblast strain, in which all types of focus-positive cells shown in (A) were scored. Shown are averages by genotype (2 lines each), with standard deviations.

3. RESULTS

WS patients display premature morbidity and mortality [1, 2, 64] together with a consistent cellular phenotype in patient-derived fibroblasts: reduced cell proliferation and cell cycle progression defects [45, 46]; elevated levels of DNA damage; and sensitivity to killing by DNA damaging agents such as cis-Platinum (cis-Pt), camptothecin (CPT) and 4-nitroquinoline-1-oxide (4NQO) [5156]. In order to determine how closely Wrn−/− mouse organismal or cellular phenotypes reflect phenotypes originally defined in WS patients, we determined all-cause mortality of a cohort of Wrn−/− mutant mice and then compared the proliferative behavior, levels of DNA damage and cell survival of primary Wrn−/− fibroblasts with WRN-mutant or -deficient human fibroblasts.

3.1. Longevity and tumor incidence in Wrn−/− mutant mice

Previous analyses of Wrn mutant mice carrying a null deletion allele (Wrn−/−) on a mixed strain background focused on genetic interactions of Wrn loss with additional mutations known to modulate cancer risk or shorten lifespan (see, e.g., Trp53, Blm and/or Terc mutations; [5860]). In order to unambiguously define the organismal consequences of Wrn deficiency alone, we first fully back-crossed Wrn−/− mutant mice [58] onto a C57BL/6J genetic background, and then monitored cohorts of mutant and wild type mice over their natural life span. We observed no significant difference in survival between Wrn−/− and Wrn+/+ mice (Figure 1; p>0.05, log-rank analysis). A high percentage of Wrn−/− and Wrn+/+ mice had neoplastic lesions at autopsy, with no difference in tumor incidence or spectrum as a function of genotype (data not shown). The high prevalence of neoplasms in both genotypes likely reflects the common occurrence of neoplasms in aged C57BL/6 mice [70].

FIGURE 1. Survival curves for all-cause mortality of cohorts of Wrn−/− and Wrn+/+ mice.

FIGURE 1

Kaplan-Meier survival estimates of Wrn-deficient and control mice fully backcrossed onto a C57BL6 strain background. Mice were observed daily until moribund or unexpected natural death (see Methods). Red line, Wrn−/− (n=33); black line, Wrn+/+ (n=37).

3.2. Generation of new Wrn/WRN-deficient mouse and human primary fibroblast strains

Primary mouse ear fibroblast (MearF) strains generated from 6 mo old Wrn−/− and Wrn+/+ mice were used to determine cellular phenotype. We had previously demonstrated that WRN-depleted and WRN-mutant, WS patient-derived fibroblasts have comparably reduced proliferation, altered cell cycle progression profiles, elevated γ-H2AX phosphorylation and DNA damage sensitivity phenotypes [67]. In order to determine if these phenotypes were affected by oxygen tension, we also generated newly derived primary human fibroblast strains in physiologic (5%) or ambient (20%) oxygen. Human and mouse fibroblasts were then assayed after growth in 5% or 20% oxygen or, in some experiments, after transient growth in 20% O2. WRN- deficient human fibroblasts were generated for these analyses by WRN-specific shRNA- mediated WRN depletion that was verified by Western blot. Cells with <10% residual WRN protein were used for functional assays.

3.3. Cell proliferation as a function of WRN/Wrn and oxygen tension

We compared the proliferation of 3 independently-derived pairs of Wrn−/− and Wrn+/+ MearF strains using as assays colony forming efficiency (CFE) and population-based proliferation [45, 67]. Flow cytometric analyses of asynchronous MearF cultures revealed the early emergence of tetraploid cell populations in both Wrn−/− and Wrn+/+ cultures that increased with time (data not shown). Thus we used Wrn−/− and Wrn +/+ cells of similar passage level and diploid/tetraploid fractions for all analyses. Newly derived Wrn−/− and Wrn+/+ MearF strains at population doubling level (PDL) 6–10 had comparable mean CFEs in 5% O2: 20.9% (Wrn−/−) versus 25.9% (Wrn+/+; Figure 2A). Population-based proliferation of the same primary MearF strains revealed mouse-specific, though no genotype-specific, difference in proliferation over 12–16 d in culture (Figure 2B). MearF strains failed to form cohesive colonies when grown in 20% O2 (data not shown), and there was comparably strong growth suppression of Wrn−/− and Wrn+/+ mouse fibroblasts established in 5% O2 and then shifted to grow continuously in 20% O2 (Figure 2C).

FIGURE 2. Proliferation of Wrn/WRN-deficient mouse and human primary fibroblasts.

FIGURE 2

A, D. Colony forming efficiencies (CFEs) of mouse (A) and human (D) fibroblasts grown in 5% O2. Data from 3 Wrn+/+ and 3 Wrn−/− mouse ear fibroblast strains and two human control or WRN-depleted primary human fibroblasts are shown. B, C, E and F: Growth curves for the 3 Wrn+/+ and 3 Wrn−/− mouse ear fibroblast strains shown in (A), and the 2 WRN-depleted or control human fibroblast strains shown in (B) in either 5% O2 (B,E) or 20% O2 (C,F). Error bars in all panels represent standard deviations derived from duplicate samples in the same experiment.

The cellular phenotype of WRN-mutant or deficient human fibroblasts was originally determined using cells grown in 20% O2 (see above references). In order to determine whether this phenotype was modulated by oxygen tension, we generated and characterized the growth of two independent human dermal fibroblast strains in 5% O2. WRN depletion from these fibroblasts led to a substantially lower CFE: 8.9% (WRN-depleted) versus 49.2% (isogenic controls; Figure 2D). In contrast to Wrn−/− mouse fibroblasts, WRN-depleted human fibroblasts grew more slowly than isogenic controls in either 5% and 20% O2 (compare Figure panels 2A–C with 2D–F). We performed subsequent analyses of mouse and human fibroblasts at 5% O2 or after transiently shifting from 5% to 20% O2 in order to compare the behavior of mouse and human cells while minimizing the strong growth-suppressive effect of 20% oxygen on mouse fibroblasts.

3.4. Cell cycle progression as a function of WRN/Wrn and oxygen tension

WRN-depleted human primary fibroblasts grown in 20% O2 display a late S–G2/M cell cycle progression delay [19]. In order to determine if this phenotype was present in Wrn−/− mouse fibroblasts, we analyzed cell cycle progression of MearF cells grown continuously at 5% O2, or transiently in 20% O2 for 48 hrs prior to analysis. Cell cycle progression was followed over 22 hrs using cells that had been labeled with BrdU for 2 hrs at the beginning of the experiment (Figure 3A). This approach allowed us to evaluate the rate at which BrdU-labeled S phase cells completed replication and entered a subsequent G1 phase. The kinetics of S–G2 progression and transit to a subsequent G1 phase did not differ between Wrn−/− and Wrn+/+ cells. Transient differences were observed between Wrn−/− cells grown in 5% O2, or in 20% O2 for 48 hrs prior to analysis (see, e.g., the 4 hr time point in Figure 3B). However, there was no difference in overall S-G2 progression as a function of genotype or oxygen tension. Of note, Wrn−/− and Wrn+/+ cells had comparable BrdU labeling indices (Figure 3C).

FIGURE 3. Cell cycle progression in Wrn+/+ and Wrn−/− primary mouse fibroblasts.

FIGURE 3

A. Experimental design for analyzing cell cycle progression of asynchronous populations of primary mouse fibroblasts (see Methods for additional detail). B. FACS profiles of total cell population (top row, −2 hrs) and BrdU-labeled sub-populations of Wrn+/+ and Wrn−/− mouse ear fibroblasts grown in 5% O2 or switched to grow in 20% O2 for 48 hrs prior to analysis. Two mouse strains with predominantly tetraploid (4N) cell content (see text) as indicated by FACS analysis are shown for easier visual evaluation of profiles. Percent G1 cells shown to the right of panels were determined using FCS Express software. C. Average percent BrdU-labeled Wrn+/+ and Wrn−/− mouse fibroblasts after 2 hrs labeling in 5% O2 or after growth in 20% O2 for the 48 hrs prior to analysis. Data from FACS profiles were quantified using FCS Express software using a sample with no BrdU added as a negative control. Error bars indicate standard deviations derived from 2 or 3 independent experiments performed on three independently-derived cell strains for each genotype.

WRN-depleted primary human fibroblasts grown in 5% O2 and then shifted to grow in 20% O2 for 48 hrs prior to analysis displayed a G2 delay of ≥10 hrs (Figure 4A). No corresponding delay was observed in WRN-depleted cells grown continuously in 5% O2 (Figure 4B). This difference was not the result of a failure of cells to label with BrdU, as WRN depletion did not significantly suppress the fraction of BrdU-labeled cells (Figure 4C). These results indicate that transient elevation of oxygen tension can reveal a cell cycle progression defect in WRN-depleted human primary fibroblasts. One of our newly generated primary human fibroblast strains also displayed a late S/G2 delay after WRN depletion and continuous growth in 20% O2 (Figure 5A). This apparent between-individual difference was not observed in cells growth in 5% O2 (Figure 5B).

FIGURE 4. Cell cycle progression in WRN + and WRN-depleted primary human fibroblasts.

FIGURE 4

A,B. FACS profiles of DNA content in total cell population (top row, both panels) and BrdU-labeled sub-populations of control and WRN-depleted primary human dermal fibroblasts switched from 5% to grow in 20% O2 for 48 hrs prior to analysis (A), or grown continuously in 5% O2 (B). G1 cell fractions were quantified as in Figure 3B. C. Average percent BrdU-labeled cells after 2 hrs of labeling in 5% O2 or after growth in 20% O2 for the 48 hrs prior to analysis. Error bars indicate standard deviations derived from 3–5 independent experiments/strain.

FIGURE 5. Human fibroblast strain-specific G2/M cell cycle progression defect after WRN depletion.

FIGURE 5

A,B. FACS profiles of total cell population (top row of panels) and BrdU-labeled sub-populations revealed a cell cycle progression defect in one of two newly derived, WRN-depleted primary human dermal fibroblasts. Note the G2/M delay and reduced G1 fraction of WRN-depleted, BrdU-labeled cells grown continuously in 20% oxygen at 6 and 9 hr timepoints (A). This defect was not observed when the same cells were grown continuously in 5% O2 (B). G1 cell fractions were quantified as in Figure 3B.

3.5. Role of WRN/Wrn in response to spontaneous and induced DNA damage

We showed previously that WS patient-derived and WRN-depleted human fibroblasts had elevated levels of endogenous DNA damage as indicated by the formation of nuclear foci that contained both co-localizing γ-H2AX [71, 72] and phosphoThr68 CHK2 [67]. In order to determine whether Wrn−/− mouse fibroblasts had higher levels of spontaneous DNA damage or an altered response to exogenous DNA damage, we analyzed γ-H2AX content in mouse and human fibroblast cultures as a function of genotype and oxygen tension by two complementary methods, flow cytometry and immunofluorescent microscopy [73].

We used CPT treatment of cells grown at 5% oxygen to induce γ-H2AX formation in order to provide a positive control for flow cytometric analyses (Figure 6A). Wild type mouse fibroblasts displayed weak (1.1 to 6-fold) induction of γ-H2AX staining after CPT treatment. Wrn−/− mouse fibroblast strains displayed higher basal levels of γ-H2AX straining than did Wrn+/+ fibroblasts, but in 3 of 4 instances failed to demonstrate an increase in γ-H2AX staining after CPT treatment (Figure 6B). WRN-depleted human fibroblasts also displayed higher basal γ-H2AX staining than did WRN+ controls, but in contrast to Wrn−/− mouse fibroblast strains displayed strong (10–28-fold) and consistent increases in γ-H2AX staining after CPT treatment (Figure 6C). The lower fold induction of staining in WRN-deficient human fibroblasts reflected the elevated basal γ-H2AX staining in WRN-depleted cells, rather than an attenuated response to CPT treatment (Figure 6C and additional results not shown).

FIGURE 6. Spontaneous and induced γ-H2AX formation in mouse and human cells.

FIGURE 6

A. Example of flow-cytometric profiles of γ-H2AX staining (FITC, 525–530; Y-axis) versus DNA content (propidium iodide, 615–640; X-axis) of control (WRN+) human fibroblasts prior to and after camptothecin (CPT) treatment. The ‘positive staining’ gate (Gate 1, see Methods) was set to include ~1% of cells in control cultures, and then uniformly applied to all samples within an experiment. Gate 2 included all intact cells. CPT, a DNA topoisomerase I inhibitor, was used to induce γ-H2AX staining. B. Two independent experiments quantifying the fold-difference in γ-H2AX-positive cells in mouse fibroblast strains (2 Wrn+/+ and 2 Wrn−/−) grown in 5% O2 ± CPT. Wrn+/+ cell strain 3013, grown in 5% O2 in the absence of CPT, was used to set the ‘positive staining’ gate (Gate 1; see above and Methods) to identify and quantify γ-H2AX-positive cells in all samples within an experiment. Cells were treated with 5 uM CPT for 1 hr, followed by 1hr recovery prior to staining and analysis. C. Fold difference in γ-H2AX-positive human control or WRN-depleted fibroblasts in two independent experiments utilizing 1 fibroblast strain grown continuously in 5% O2 prior to CPT treatment (1 uM CPT for 1 hr).

Wrn+/+ mouse fibroblasts grown in 20% oxygen for 96 hrs prior to analysis displayed consistently higher γ-H2AX staining (2–12-fold) than did Wrn−/− mouse fibroblasts (Figure 7A). WRN-depleted human fibroblasts displayed higher basal γ-H2AX staining than did WRN+ controls after continuous growth in 5% or in 20% oxygen (Figure 7B), in agreement with our previous studies [67]. There was no significant difference in γ-H2AX levels in WRN-depleted and control cells shifted transiently from 5% to 20% oxygen, although WRN-depleted cells showed higher levels of induced γ-H2AX staining (Figure 7B).

FIGURE 7. γ-H2AX levels in mouse and human primary fibroblasts as a function of oxygen tension.

FIGURE 7

A. The fold-difference in γ-H2AX-positive cells in mouse fibroblast strains (2 Wrn+/+ and 2 Wrn−/−) grown in 5% O2 (L), or after 96 hrs of growth in 20% O2 prior to analysis (H). Gating and fold-difference calculations were done as described in Figure 6, panels A and B. B. Fold-difference in γ-H2AX positive cells in two human fibroblast strains grown in 5% or in 20% O2, or switched from 5% to grow in 20% O2 for 96 hrs prior to analysis. Gating was done as described above for MearF cultures in (6A, B). Error bars indicate standard deviations from two (20%) or three (5% and 5%>20%) independent experiments.

The flow cytometric quantitation of γ-H2AX content used above is relatively stringent and most sensitive to large shifts in fluorescence intensity. As flow cytometry alone might miss subtle changes such as increases in the size or nuclear distribution of γ-H2AX foci, we also examined mouse and human fibroblasts by immunofluorescent microscopy in order to determine whether Wrn/WRN loss affected γ-H2AX nuclear focus frequency or distribution. Both mouse and human fibroblasts displayed a range of nuclear γ-H2AX focus staining patterns in which focus number, size and staining intensity varied (Figure 8A). However, these patterns did not differ between Wrn−/− and Wrn+/+ fibroblasts, or in human WRN+ or WRN-depleted cells (Figure 8A, B and additional results not shown).

CPT treatment of both mouse and human fibroblasts markedly augmented nuclear γ-H2AX focus number and size, and led to the appearance of small numbers of intensely stained cells in both mouse and human cultures (see Figure 8A, +CPT column). These results parallel what we observed in flow cytometric analyses (Figure 6). In order to determine whether there was a difference in CPT-induced focus formation in mouse cells as a function of genotype we counted focus-positive cells with two or more large discreet nuclear foci and/or multiple smaller, bright foci prior to and after CPT treatment (Figure 8A–C). CPT treatment of mouse cells grown in 5% oxygen resulted in up to 60% focus-positive cells regardless of genotype, compared with 5–10% focus-positive cells in control cultures (Figure 8C). Focus-positive cells included those with few large foci, and a minority (8 – 20%) of cells with numerous extremely bright foci (Figure 8B; 5% + CPT panels).

Transient growth of mouse fibroblasts in 20% oxygen prior to immunofluorescence analysis led to up to 20% focus-positive cells as defined above, though fewer cells with large bright foci than were observed in CPT-treated cells (Figure 8B, 5–20% panels; Figure 8C). No significant difference was observed between Wrn−/− and Wrn+/+ fibroblasts in the fraction of focus-positive cells after either CPT treatment or growth in 20% oxygen (Figure 8B, C and additional results not shown). These results indicate that both Wrn−/− and Wrn+/+ mouse fibroblasts can form γ-H2AX foci in response to CPT or an acute increase of oxygen tension. The large fraction of CPT-treated mouse fibroblasts that had small numbers of large foci (Figure 8B) also provides a potential explanation for the low ‘fold’ induction in γ-H2AX staining that was observed in flow cytometric analyses–these foci raised mean cell staining intensity, though not by enough to push a large fraction of cells over the threshold that had been set to identify γ-H2AX-positive cells (see Figure 6A).

In summary, mouse and human Wrn/WRN-deficient fibroblasts exhibited elevated γ-H2AX staining versus controls when grown in 5% oxygen ± CPT. Mouse and human fibroblasts regardless of WRN genotype also displayed increased γ-H2AX content after transient growth in 20% oxygen. Human fibroblasts depleted of WRN displayed the most genotype-specific difference in which elevated γ-H2AX content was observed after continuous growth in 5%, in 20% oxygen or after CPT treatment using cells grown in 5% oxygen (Figures 68).

3.6. Cell survival after DNA damage

WS patient-derived fibroblasts are selectively killed by several genotoxic agents including DNA cross-linking agents such as cis-Pt and topoisomerase I inhibitors such as CPT (see above). In order to determine whether mouse fibroblasts displayed a similar DNA damage sensitivity profile, we treated Wrn−/− or Wrn+/+ MearFs grown in 5% O2 with cis-Pt (1 μM or 2 μM) or with CPT (50 nM or 100 nM) for 24 hrs and then determined survival by measuring colony forming efficiency (CFE). We determined in parallel the CFE of CPT-treated, WRN-depleted or control human fibroblasts grown in 5% or 20% O2. Wrn−/− and Wrn+/+ MearFs showed cis-Pt or CPT dose-dependent, though not genotype-specific, reductions in CFE after treatment (Figure 9A, 9C). In contrast, WRN-depleted human fibroblasts grown in 5% or in 20% O2 displayed significantly lower CFEs after treatment with cis-Pt or with CPT than did control cultures (Figure 9B,D). The CPT sensitivity we observed in WRN-depleted human cells was comparable to what has been previously reported by us and by others [53, 55, 74, 75].

FIGURE 9. Survival of mouse and human primary fibroblasts after DNA damage.

FIGURE 9

A, C. Colony-forming efficiencies (CFEs) of 3Wrn+/+ and 3 Wrn−/− mouse primary fibroblast strains grown continuously in 5% O2 prior to treatment with 1 or 2 μM cis-Pt (A) or with 50 or 100 nM CPT for 24 hrs (C). Survivals are corrected by the CFEs of untreated cells. B, D. CFEs of control or WRN-depleted primary human fibroblasts grown continuously in 5% or in 20% O2 prior to treatment with 1 μM cis-Pt (B) or with 5 nM or 10 nM CPT (D) for 24 hrs. Survivals are corrected by the CFEs of untreated cells in all cases. Error bars indicate standard deviations for duplicate samples of three (mouse) or two (human) fibroblast strains in each experiment.

4. DISCUSSION

The most surprising finding from these analyses was the absence of a strong cellular phenotype in Wrn−/− mouse fibroblasts. We and others had previously noted the strong and consistent cellular phenotype in WRN-mutant human fibroblasts and fibroblast cell lines that included reduced cell proliferation, premature cellular senescence, selective DNA damage sensitivity and genetic instability [17, 45, 4750, 54, 67, 76, 77]. This cellular phenotype is also present in WRN-depleted primary and transformed human fibroblasts, and is accompanied in WRN-depleted primary fibroblasts by an acute DNA damage response (see, e.g., [67]). We did not observe a comparable cellular phenotype in newly derived Wrn−/− mouse fibroblasts grown under optimal conditions. This is in contrast to previous reports [57, 58, 78] where variable cellular phenotypes involving growth or survival were reported.

The absence of a cellular phenotype in Wrn-mutant mouse fibroblasts could have several explanations. One potential confounder in these reports was that only one of the genetically determined mouse models of WS [58] utilized a Wrn null mutation that leads to the loss of WRN protein as is observed in WS patients [25]. We fully back-crossed this Wrn null allele into C57BL/6J mice. This provided a genetically homogenous mouse population for these analyses, but may have inadvertently suppressed phenotypes that were present in the original mixed-strain mutant mouse background. This possibility could be further investigated by crossing the Wrn null allele into additional mouse strain backgrounds. However, we note that cells and cell lines from WS patients display a strong phenotype regardless of donor genetic background or ethnic origin, and the only suggested genetic background effect on phenotypic expression of human WRN null mutations has been for the risk of thyroid carcinoma [79, 80].

A second potential explanation for discrepant mouse and human WRN-deficient cellular phenotypes is oxygen tension. The human WRN-deficient cellular phenotype was originally defined using cells grown in 20% (ambient) oxygen (see, e.g., [17, 45, 46, 67]). In contrast, mouse fibroblasts grow best at lower oxygen tensions (e.g., 5%; [65, 66]). We did not have skin biopsies from WS patients to generate new primary WS fibroblast cultures in 5% oxygen in parallel with the generation of Wrn−/− mouse fibroblasts. However, we had shown that the phenotype of WRN-mutant and WRN-depleted human primary fibroblasts were very similar [67], and thus compared the phenotypes of newly derived Wrn-mutant mouse and WRN-depleted human fibroblasts grown from inception in 5% oxygen. The effect of oxygen tension on cellular phenotype was determined for both mouse and human fibroblasts by either transient (mouse) or continuous (human) growth in 20% as well as 5% oxygen.

Among the cellular phenotypes we examined in WRN-depleted human fibroblasts, only cell cycle progression was affected by oxygen tension. WRN-depleted fibroblasts grown in 20% O2 displayed a late S–G2/M cell cycle progression delay [19] that was absent in WRN-depleted cells grown continuously in 5% O2. This delay could also be revealed in WRN-depleted cells by transient growth in 20% oxygen (Figure 4A and B). Mouse fibroblasts, in contrast, did not display S-G2/M progression delay or other cellular phenotypes that were genotype- and oxygen tension-dependent. We did, however, show that shifting mouse and human cells from 5% to grow transiently in 20% oxygen altered cell proliferation and DNA damage measures. These observations are consistent with reports that WRN/Wrn may play a role in the response to oxidative DNA damage at sites including telomeres that may be prone to accumulate oxidative or other forms of DNA damage (see, e.g. [8183]).

The most plausible explanation for the differences in cellular phenotype we observed between Wrn-deficient mouse and WRN-deficient human fibroblasts appears to be a species-specific difference in functional requirements for WRN/Wrn. Short telomeres appear to drive WRN-deficient cellular phenotypes in both human and mouse fibroblasts [43, 44, 5961] (reviewed in [20, 21]). However, we and others have shown that early-passage human WRN-deficient primary fibroblasts that possess long telomeres already display a strong cellular phenotype. Thus a loss of WRN function at sites other than telomeres may be an important driver of cell phenotype in early passage cells. Possible roles for WRN throughout the genome include DNA repair [15], mitotic recombination [16, 17], and in the maintenance of global replication fork progression rates in response to DNA damage [19]. Loss of these WRN functions would be further accentuated in late-passage cells by progressive telomere shortening [20, 21]. This model is consistent with our results, and with the observation that WRN-mutant human cells, as well as Wrn-mutant/telomerase-deficient mice, develop phenotypes that depend in part on telomere length [20, 21, 59, 60, 84, 85]. Species-specific differences in the response to DNA damage, at telomeres or other genomic sites, may be a second important determinant of the response to Wrn/WRN loss of function. We found, for example, that Wrn-mutant mouse fibroblasts displayed elevated γ-H2AX staining after transient growth in 20% O2 or after CPT treatment as do human WRN-deficient fibroblasts, though failed to suppress BrdU labeling or display a cycle progression defect in 20% O2.

Mechanistic links between the cellular and organismal phenotypes of WS are not well -understood. However, several common ‘intermediate’ phenotypes including progressive cell loss, reduced cell proliferation, genetic instability and the accumulation of senescent cells in vivo are likely to play important roles in the pathogenesis of WS and normal aging [63], as well as the pathogenesis of clinically important, age-associated functional declines and in diseases such as neoplasia [63, 8688]. Despite the absence of a strong cellular or organismal phenotype in Wrn-deficient mice, it should be possible to further investigate links between cellular and organismal functions of Wrn in mice. Precedents for these types of analyses include experiments cited above in which telomere-dependent functions of Wrn could be revealed in later-generation, telomerase-deficient mice with short telomeres [59, 60]; experiments that examined the interaction of Wrn deficiency with Tsp53, p21 and PARP-1-deficiency in mice [58, 89, 90]; and the recent demonstrations that WrnΔhel/Δhel as well as Wrn−/− mutant mice back-crossed into a C57BL/6 strain background become hyperinsulinemic and insulin-resistant when fed a high fat diet [62, 83]. Genetic or environmental perturbations that revealed a strong requirement for Wrn/WRN function might identify new ways to modify WS clinical progression, or to suppress or delay the appearance of atherosclerotic cardiovascular disease, diabetes mellitus or cancer. Small molecules or genetic perturbations that revealed a synthetic phenotype with Wrn/WRN loss-of-function might also be useful for selectively killing human tumors that have mutated or silenced WRN [9193].

Acknowledgments

We thank Mike Shen and Donna Prunkard for assistance with FACS analyses, Brian Kennedy for use of his confocal microscope and Ranga Venkatesan for help with the flow protocol for γ-H2AX detection. Alden Hackmann provided help with graphics, and Julia Lauper for a careful reading of the ms. This work was supported by NIH grant P01CA77872 to RJM Jr.

Abbreviations

CFE

colony-forming efficiency

cis-Pt

cis-diammineplatinum (II) dichloride

CPT

camptothecin

WS

Werner syndrome

MearF

mouse ear fibroblasts

Footnotes

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References

  • 1.Epstein CJ, Martin GM, Schultz AL, Motulsky AG. Werner’s syndrome: A review of its symptomatology, natural history, pathologic features, genetics and relationship to the natural aging process. Medicine. 1966;45:177–221. doi: 10.1097/00005792-196605000-00001. [DOI] [PubMed] [Google Scholar]
  • 2.Muftuoglu M, Oshima J, von Kobbe C, Cheng WH, Leistritz D, Bohr V. The clinical characteristics of Werner syndrome: molecular and biochemical diagnosis. Human Genetics. 2008;124:369–377. doi: 10.1007/s00439-008-0562-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Yu CE, Oshima J, Fu YH, Wijsman EM, Hisama F, Ouais S, Nakura J, Miki T, Martin GM, Mulligan J, Schellenberg GD. Positional cloning of the Werner’s syndrome gene. Science. 1996;272:258–262. doi: 10.1126/science.272.5259.258. [DOI] [PubMed] [Google Scholar]
  • 4.Moser MJ, Oshima J, Monnat RJ., Jr WRN mutations in Werner syndrome. Human Mutation. 1999;13:271–279. doi: 10.1002/(SICI)1098-1004(1999)13:4<271::AID-HUMU2>3.0.CO;2-Q. [DOI] [PubMed] [Google Scholar]
  • 5.Huang S, Lee L, Hanson NB, Lenaerts C, Hoehn H, Poot M, Rubin CD, Chen D-F, Yang C-C, Juch H, Dorn T, Spiegel R, Oral EA, Abid M, Battista C, Lucci-Cordisco E, Neri G, Steed EH, Kidd A, Isley W, Showalter D, Vittone JL, Konstantinow A, Ring J, Meyer P, Wenger SL, Herbay Av, Wollina U, Schuelke M, Huizenga CR, Leistritz DF, Martin GM, Mian IS, Oshima J. The spectrum of WRN mutations in Werner syndrome patients. Human Mutation. 2006;27:558–567. doi: 10.1002/humu.20337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ellis NA, Groden J, Ye TZ, Straughen J, Lennon DJ, Ciocci S, Proytcheva M, German J. The Bloom’s syndrome gene product is homologous to RecQ helicases. Cell. 1995;83:655–666. doi: 10.1016/0092-8674(95)90105-1. [DOI] [PubMed] [Google Scholar]
  • 7.Kitao S, Shimamoto A, Goto M, Miller RW, Smithson WA, Lindor NM, Furuichi Y. Mutations in RECQ4L cause a subset of cases of Rothmund-Thomson syndrome. Nature Genetics. 1999;22:82–84. doi: 10.1038/8788. [DOI] [PubMed] [Google Scholar]
  • 8.Wang LL, Gannavarapu A, Kozinetz CA, Levy ML, Lewis RA, Chintagumpala MM, Ruiz-Malanado R, Contreras-Ruiz J, Cunniff C, Erickson RP, Lev D, Rogers M, Zackai EH, Plon SE. Association between osteosarcoma and deleterious mutations in the RECQL4 gene in Rothmund-Thomson syndrome. J Natl Cancer Inst. 2003;95:669–674. doi: 10.1093/jnci/95.9.669. [DOI] [PubMed] [Google Scholar]
  • 9.Gray MD, Shen JC, Kamath-Loeb AS, Blank A, Sopher BL, Martin GM, Oshima J, Loeb LA. The Werner syndrome protein is a DNA helicase. Nature Genetics. 1997;17:100–103. doi: 10.1038/ng0997-100. [DOI] [PubMed] [Google Scholar]
  • 10.Suzuki N, Shimamoto A, Imamura O, Kuromitsu J, Kitao S, Goto M, Furuichi Y. DNA helicase activity in Werner’s syndrome gene product synthesized in a baculovirus system. Nucleic Acids Res. 1997;25:2973–2978. doi: 10.1093/nar/25.15.2973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Xu X, Liu Y. Dual DNA unwinding activities of the Rothmund-Thomson syndrome protein, RECQ4. EMBO J. 2009;28:568–577. doi: 10.1038/emboj.2009.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Huang S, Li B, Gray MD, Oshima J, Mian IS, Campisi J. The premature aging syndrome protein, WRN, is a 3′ to 5′ exonuclease. Nature Genetics. 1998;20:114–116. doi: 10.1038/2410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Shen JC, Gray MD, Oshima J, Kamath-Loeb AS, Fry M, Loeb LA. Werner syndrome protein I: DNA helicase and DNA exonuclease reside on the same polypeptide. J Biol Chem. 1998;273:34139–34144. doi: 10.1074/jbc.273.51.34139. [DOI] [PubMed] [Google Scholar]
  • 14.Perry JJ, Yannone SM, Holden LG, Hitomi C, Asaithamby A, Han S, Cooper PK, Chen DJ, Tainer JA. WRN exonuclease structure and molecular mechanism imply an editing role in DNA end processing. Nat Struct Mol Biol. 2006;13:414–422. doi: 10.1038/nsmb1088. [DOI] [PubMed] [Google Scholar]
  • 15.Bohr VA. Rising from the RecQ-age: the role of human RecQ helicases in genome maintenance. Trends Biochem Sci. 2008;33:609–620. doi: 10.1016/j.tibs.2008.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Prince PR, Emond MJ, Monnat RJ., Jr Loss of Werner syndrome protein function promotes aberrant mitotic recombination. Genes Dev. 2001;15:933–938. doi: 10.1101/gad.877001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Saintigny Y, Makienko K, Swanson C, Emond MJ, Monnat RJ., Jr Homologous recombination resolution defect in Werner syndrome. Mol Cell Biol. 2002;22:6971–6978. doi: 10.1128/MCB.22.20.6971-6978.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Swanson C, Saintigny Y, Emond MJ, Monnat RJ., Jr The Werner syndrome protein has separable recombination and viability functions. DNA Repair. 2004;3:1–10. doi: 10.1016/j.dnarep.2004.01.002. [DOI] [PubMed] [Google Scholar]
  • 19.Sidorova JM, Li N, Folch A, Monnat RJ., Jr The RecQ helicase WRN is required for normal replication fork progression after DNA damage or replication fork arrest. Cell Cycle. 2008;7:796–807. doi: 10.4161/cc.7.6.5566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Multani AS, Chang S. WRN at telomeres: implications for aging and cancer. J Cell Sci. 2007;120:713–721. doi: 10.1242/jcs.03397. [DOI] [PubMed] [Google Scholar]
  • 21.Opresko PL. Telomere ResQue and preservation--Roles for the Werner syndrome protein and other RecQ helicases. Mech Ageing Dev. 2008;129:79–90. doi: 10.1016/j.mad.2007.10.007. [DOI] [PubMed] [Google Scholar]
  • 22.Johnson FB, Marciniak RA, McVey M, Hahn WC, Guarante L. The Saccharomyces cerevisiae WRN homolog Sgs1p participates in telomere maintenance in cells lacking telomerase. EMBO J. 2001;20:905–913. doi: 10.1093/emboj/20.4.905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Opresko PL, von Kobbe C, Laine JP, Harrigan J, Hickson ID, Bohr VA. Telomere-binding Protein TRF2 Binds to and Stimulates the Werner and Bloom Syndrome Helicases. Journal of Biological Chemistry. 2002;277:41110–41119. doi: 10.1074/jbc.M205396200. [DOI] [PubMed] [Google Scholar]
  • 24.Opresko PL, Mason PA, Podell ER, Lei M, Hickson ID, Cech TR, Bohr VA. POT1 Stimulates RecQ Helicases WRN and BLM to Unwind Telomeric DNA Substrates. Journal of Biological Chemistry. 2005;280:32069–32080. doi: 10.1074/jbc.M505211200. [DOI] [PubMed] [Google Scholar]
  • 25.Sowd G, Lei M, Opresko PL. Mechanism and substrate specificity of telomeric protein POT1 stimulation of the Werner syndrome helicase. Nucl Acids Res. 2008;36:4242–4256. doi: 10.1093/nar/gkn385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ahn B, Lee JW, Jung H, Beck G, Bohr VA. Mechanism of Werner DNA Helicase: POT1 and RPA Stimulates WRN to Unwind beyond Gaps in the Translocating Strand. PLoS ONE. 2009;4:e4673. doi: 10.1371/journal.pone.0004673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Cooper MP, Machwe A, Orren DK, Brosh RM, Jr, Ramsden D, Bohr VA. Ku complex interacts with and stimulates the Werner protein. Genes Dev. 2000;14:907–912. [PMC free article] [PubMed] [Google Scholar]
  • 28.Li B, Comai L. Functional Interaction between Ku and the Werner Syndrome Protein in DNA End Processing. Journal of Biological Chemistry. 2000;275:28349–28352. doi: 10.1074/jbc.C000289200. [DOI] [PubMed] [Google Scholar]
  • 29.Li B, Comai L. Requirements for the Nucleolytic Processing of DNA Ends by the Werner Syndrome Protein-Ku70/80 Complex. Journal of Biological Chemistry. 2001;276:9896–9902. doi: 10.1074/jbc.M008575200. [DOI] [PubMed] [Google Scholar]
  • 30.Yannone SM, Roy S, Chan DW, Murphy MB, Huang S, Campisi J, Chen DJ. Werner syndrome protein is regulated and phosphorylated by DNA-dependent protein kinase. J Biol Chem. 2001;276:38242–38248. doi: 10.1074/jbc.M101913200. [DOI] [PubMed] [Google Scholar]
  • 31.Li B, Comai L. Displacement of DNA-PKcs from DNA ends by the Werner syndrome protein. Nucl Acids Res. 2002;30:3653–3661. doi: 10.1093/nar/gkf488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Karmakar P, Snowden CM, Ramsden DA, Bohr VA. Ku heterodimer binds to both ends of the Werner protein and functional interaction occurs at the Werner N-terminus. Nucl Acids Res. 2002;30:3583–3591. doi: 10.1093/nar/gkf482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Karmakar P, Piotrowski J, Brosh RM, Jr, Sommers JA, Miller SP, Cheng WH, Snowden CM, Ramsden DA, Bohr VA. Werner protein is a target of DNA-dependent protein kinase in vivo and in vitro, and its catalytic activities are regulated by phosphorylation. J Biol Chem. 2002;277:18291–18302. doi: 10.1074/jbc.M111523200. [DOI] [PubMed] [Google Scholar]
  • 34.Li B, Navarro S, Kasahara N, Comai L. Identification and Biochemical Characterization of a Werner’s Syndrome Protein Complex with Ku70/80 and Poly(ADP-ribose) Polymerase-1. Journal of Biological Chemistry. 2004;279:13659–13667. doi: 10.1074/jbc.M311606200. [DOI] [PubMed] [Google Scholar]
  • 35.Kusumoto R, Dawut L, Marchetti C, Wan Lee J, Vindigni A, Ramsden D, Bohr VA. Werner Protein Cooperates with the XRCC4-DNA Ligase IV Complex in End-Processing. Biochemistry. 2008;47:7548–7556. doi: 10.1021/bi702325t. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Brosh RM, Jr, von Kobbe C, Sommers JA, Karmarkar P, Opresko PL, Piotrowski J, Dianova I, Dianov GL, Bohr VA. Werner syndrome protein interacts with human flap endonuclease 1 and stimulates its cleavage activity. EMBO J. 2001;20:5791–5801. doi: 10.1093/emboj/20.20.5791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Robert M, Driscoll HC, Dianov GL, Sommers JA. Biochemical Characterization of the WRN/FEN-1 Functional Interaction. Biochemistry. 2002;41:12204–12216. doi: 10.1021/bi026031j. [DOI] [PubMed] [Google Scholar]
  • 38.Saharia A, Guittat L, Crocker S, Lim A, Steffen M, Kulkarni S, Stewart SA. Flap Endonuclease 1 Contributes to Telomere Stability. Current Biology. 2008;18:496–500. doi: 10.1016/j.cub.2008.02.071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Orren DK, Theodore S, Machwe A. The Werner syndrome helicase/exonuclease (WRN) disrupts and degrades D-loops in vitro. Biochemistry. 2002;41:13483–13488. doi: 10.1021/bi0266986. [DOI] [PubMed] [Google Scholar]
  • 40.Machwe A, Xiao L, Orren DK. TRF2 recruits the Werner syndrome (WRN) exonuclease for processing of telomeric DNA. Oncogene. 200;8:149–156. doi: 10.1038/sj.onc.1206906. [DOI] [PubMed] [Google Scholar]
  • 41.Opresko PL, Otterlei M, Graakjaer J, Bruheim P, Dawut L, Kolvraa S, May A, Seidman MM, Bohr VA. The Werner Syndrome Helicase and Exonuclease Cooperate to Resolve Telomeric D Loops in a Manner Regulated by TRF1 and TRF2. Molecular Cell. 2004;14:763–774. doi: 10.1016/j.molcel.2004.05.023. [DOI] [PubMed] [Google Scholar]
  • 42.Opresko PL, Mason PA, Podell ER, Lei M, Hickson ID, Cech TR, Bohr VA. POT1 Stimulates RecQ Helicases WRN and BLM to Unwind Telomeric DNA Substrates. Journal of Biological Chemistry. 2005;280:32069–32080. doi: 10.1074/jbc.M505211200. [DOI] [PubMed] [Google Scholar]
  • 43.Crabbe L, Verdun RE, Haggblom CI, Karlseder J. Defective Telomere Lagging Strand Synthesis in Cells Lacking WRN Helicase Activity. Science. 2004;306:1951–1953. doi: 10.1126/science.1103619. [DOI] [PubMed] [Google Scholar]
  • 44.Crabbe L, Jauch A, Naeger CM, Holtgreve-Grez H, Karlseder J. Telomere dysfunction as a cause of genomic instability in Werner syndrome. Proceedings of the National Academy of Sciences. 2007;104:2205–2210. doi: 10.1073/pnas.0609410104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Martin GM, Sprague CA, Epstein CJ. Replicative life-span of cultivated human cells. Effects of donor’s age, tissue, and genotype. Lab Invest. 1970;23:86–92. [PubMed] [Google Scholar]
  • 46.Salk D, Bryant E, Au K, Hoehn H, Martin GM. Systematic growth studies, cocultivation, and cell hybridization studies of Werner syndrome cultured skin fibroblasts. Hum Genet. 1981;58:310–316. doi: 10.1007/BF00294930. [DOI] [PubMed] [Google Scholar]
  • 47.Fukuchi K, Martin GM, Monnat RJ., Jr Mutator phenotype of Werner syndrome is characterized by extensive deletions. Proc Natl Acad Sci USA. 1989;86:5893–5897. doi: 10.1073/pnas.86.15.5893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Fukuchi K, Tanaka K, Kumahara Y, Marumo K, Pride MB, Martin GM, Monnat RJ., Jr Increased frequency of 6-thioguanine-resistant peripheral blood lymphocytes in Werner syndrome patients. Hum Genet. 1990;84:249–252. doi: 10.1007/BF00200569. [DOI] [PubMed] [Google Scholar]
  • 49.Hoehn H, Bryant EM, Au K, Norwood TH, Boman H, Martin GM. Variegated translocation mosaicism in human skin fibroblast cultures. Cytogenet Cell Genet. 1975;15:282–298. doi: 10.1159/000130526. [DOI] [PubMed] [Google Scholar]
  • 50.Melcher R, von Golitschek R, Steinlein C, Schindler D, Neitzel H, Kainer K, Schmid M, Hoehn H. Spectral karyotyping of Werner syndrome fibroblast cultures. Cytogenet Cell Genet. 2000;91:180–185. doi: 10.1159/000056841. [DOI] [PubMed] [Google Scholar]
  • 51.Gebhart E, Bauer R, Raub U, Schinzel M, Ruprecht KW, Jonas JB. Spontaneous and induced chromosomal instability in Werner syndrome. Hum Genet. 1988;80:135–139. doi: 10.1007/BF00702855. [DOI] [PubMed] [Google Scholar]
  • 52.Ogburn CE, Oshima J, Poot M, Chen R, Hunt KE, Gollahon KA, Rabinovitch PS, Martin GM. An apoptosis-inducing genotoxin differentiates heterozygotic carriers for Werner helicase mutations from wild-type and homozygous mutants. Hum Genet. 1997;101:121–125. doi: 10.1007/s004390050599. [DOI] [PubMed] [Google Scholar]
  • 53.Poot M, Gollahon KA, Rabinovitch PS. Werner syndrome lymphoblastoid cells are sensitive to camptothecin-induced apoptosis in S-phase. Human Genetics. 1999;104:10–14. doi: 10.1007/s004390050903. [DOI] [PubMed] [Google Scholar]
  • 54.Prince PR, Ogburn CE, Moser MJ, Emond MJ, Martin GM, Monnat RJ., Jr Cell fusion corrects the 4-nitroquinoline 1-oxide sensitivity of Werner syndrome fibroblast cell lines. Human Genetics. 1999;105:132–138. doi: 10.1007/s004399900078. [DOI] [PubMed] [Google Scholar]
  • 55.Pichierri P, Franchitto A, Mosesso P, Palitti F. Werner’s syndrome cell lines are hypersensitive to camptothecin-induced chromosomal damage. Mutat Res. 2000;456:45–57. doi: 10.1016/s0027-5107(00)00109-3. [DOI] [PubMed] [Google Scholar]
  • 56.Poot M, Yom JS, Whang SH, Kato JT, Gollahon KA, Rabinovitch PS. Werner syndrome cells are sensitive to DNA cross-linking drugs. FASEB J. 2001;15:1224–1226. doi: 10.1096/fj.00-0611fje. [DOI] [PubMed] [Google Scholar]
  • 57.Lebel M, Leder P. A deletion within the murine Werner syndrome helicase induces sensitivity to inhibitors of topoisomerase and loss of cellular proliferative capacity. Proc Natl Acad Sci USA. 1998;95:13097–13102. doi: 10.1073/pnas.95.22.13097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Lombard DB, Beard C, Johnson B, Marciniak RA, Dausman J, Bronson R, Buhlmann JE, Lipman R, Curry R, Sharpe A, Jaenisch R, Guarante L. Mutations in the WRN gene in mice accelerate mortality in a p53-null background. Mol Cell Biol. 2000;20:3286–3291. doi: 10.1128/mcb.20.9.3286-3291.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Chang S, Multani AS, Cabrera NG, Naylor ML, Laud P, Lombard D, Pathak S, Guarente L, DePinho RA. Essential role of limiting telomeres in the pathogenesis of Werner syndrome. Nat Genet. 2004;36:877–882. doi: 10.1038/ng1389. [DOI] [PubMed] [Google Scholar]
  • 60.Du X, Shen J, Kugan N, Furth EE, Lombard DB, Cheung C, Pak S, Luo G, Pignolo RJ, DePinho RA, Guarente L, Johnson FB. Telomere Shortening Exposes Functions for the Mouse Werner and Bloom Syndrome Genes. Mol Cell Biol. 2004;24:8437–8446. doi: 10.1128/MCB.24.19.8437-8446.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Laud PR, Multani AS, Bailey SM, Wu L, Ma J, Kingsley C, Lebel M, Pathak S, DePinho RA, Chang S. Elevated telomere-telomere recombination in WRN-deficient, telomere dysfunctional cells promotes escape from senescence and engagement of the ALT pathway. Genes and Development. 2005;19:2560–2570. doi: 10.1101/gad.1321305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Moore G, Knoblaugh S, Gollahon KA, Rabinovitch PS, Ladiges WC. Hyperinsulinemia and insulin resistant in Wrn null mice fed a diabetogenic diet. Mech Ageing Dev. 2008;129:201–206. doi: 10.1016/j.mad.2007.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Kudlow BA, Kennedy BK, Monnat RJ. Werner and Hutchinson-Gilford progeria syndromes: mechanistic basis of human progeroid diseases. Nat Rev Mol Cell Biol. 2007;8:394–404. doi: 10.1038/nrm2161. [DOI] [PubMed] [Google Scholar]
  • 64.Goto M. Clinical characteristics of Werner syndrome and other premature aging syndromes: pattern of aging in progeroid syndromes. Gann Monograph Cancer Res. 2001;49:27–39. [Google Scholar]
  • 65.Parrinello S, Samper E, Krtolica A, Goldstein J, Melov S, Campisi J. Oxygen sensitivity severely limits the replicative lifespan of murine fibroblasts. Nat Cell Biol. 2003;5:741–747. doi: 10.1038/ncb1024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Di Micco R, Cicalese A, Fumagali M, Dobreva M, Verrechia A, Pelicci PG, d’Adda di Fagagna F. DNA damage response activation in mouse embryonic fibroblasts undergoing replicative senescence and following spontaneous immortalization. Cell Cycle. 2008;7:3601–3606. doi: 10.4161/cc.7.22.7152. [DOI] [PubMed] [Google Scholar]
  • 67.Dhillon KK, Sidorova J, Saintigny Y, Poot M, Gollahon K, Rabinovitch PS, Monnat RJ. Functional role of the Werner syndrome RecQ helicase in human fibroblasts. Aging Cell. 2007;6:53–61. doi: 10.1111/j.1474-9726.2006.00260.x. [DOI] [PubMed] [Google Scholar]
  • 68.Olive PL. Detection of DNA damage in inidividual cells by analysis of histone H2AX phosphorylation. Methods in Cell Biology (New York) 2004;75:355–373. doi: 10.1016/s0091-679x(04)75014-1. [DOI] [PubMed] [Google Scholar]
  • 69.Venkatesan RN, Treuting PM, Fuller ED, Goldsby RE, Norwood TH, Gooley TA, Ladiges WC, Preston BD, Loeb LA. Mutation at the Polymerase Active Site of Mouse DNA Polymerase {delta} Increases Genomic Instability and Accelerates Tumorigenesis. Mol Cell Biol. 2007;27:7669–7682. doi: 10.1128/MCB.00002-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Blackwell BN, Bucci TJ, Hart RW, Turturro A. Longevity, body weight and neoplasia in ad-libitum-fed and diet-restricted C57BL6 mice fed NIH-31 open formula diet. Toxicologic Pathology. 1995;23:570–582. doi: 10.1177/019262339502300503. [DOI] [PubMed] [Google Scholar]
  • 71.Rogakou EP, Pilch DR, Orr AH, Ivanova VS, Bonner WM. DNA Double-stranded Breaks Induce Histone H2AX Phosphorylation on Serine 139. Journal of Biological Chemistry. 1998;273:5858–5868. doi: 10.1074/jbc.273.10.5858. [DOI] [PubMed] [Google Scholar]
  • 72.Paull TT, Rogakou EP, Yamazaki V, Kirchgessner CU, Gellert M, Bonner WM. A critical role for histone H2AX in recruitment of repair factors to nuclear foci after DNA damage. Current Biology. 2000;10:886–895. doi: 10.1016/s0960-9822(00)00610-2. [DOI] [PubMed] [Google Scholar]
  • 73.Pommier Y. Topoisomerase I inhibitors: camptothecins and beyond. Nat Rev Cancer. 2006;6:789–802. doi: 10.1038/nrc1977. [DOI] [PubMed] [Google Scholar]
  • 74.Pichierri P, Franchitto A, Mosesso P, Palitti F. Werner’s syndrome protein is required for correct recovery after replication arrest and DNA damage induced in S-phase of cell cycle. Molec Biol Cell. 2001;12:2412–2421. doi: 10.1091/mbc.12.8.2412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Lowe J, Sheerin A, Jennert-Burston K, Burton D, Ostler EL, Bird J, Green MH, Faragher RGA. Camptothecin sensitivity of Werner syndrome fibroblasts as assessed by the COMET technique. Ann N Y Acad Sci. 2004;1019:256–259. doi: 10.1196/annals.1297.042. [DOI] [PubMed] [Google Scholar]
  • 76.Salk D, Au K, Hoehn H, Martin GM. Cytogenetic aspects of Werner syndrome. Adv Exp Med Biol. 1985;190:541–546. doi: 10.1007/978-1-4684-7853-2_27. [DOI] [PubMed] [Google Scholar]
  • 77.Melaragno MI, Pagni D, Smith MdC. Cytogenetic aspects of Werner’s syndrome lymphocyte cultures. Mech Ageing Dev. 1995;78:117–122. doi: 10.1016/0047-6374(94)01530-y. [DOI] [PubMed] [Google Scholar]
  • 78.Wang L, Ogburn CE, Ware CB, Ladiges WC, Youssoufian H, Martin GM, Oshima J. Cellular Werner phenotypes in mice expressing a putative dominant-negative human WRN gene. Genetics. 2000;154:357–362. doi: 10.1093/genetics/154.1.357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Ishikawa Y, Sugano H, Matsumoto T, Furuichi Y, Miller RW, Gossen M. Unusual features of thyroid carcinomas in Japanese patients with Werner syndrome and possible genotype-phenotype relations to cell type and race. Cancer. 1999;85:1345–1352. [PubMed] [Google Scholar]
  • 80.Monnat RJ., Jr Unusual features of thyroid carcinomas in Japanese patients with Werner syndrome and possible genotype-phenotype relations to cell type and race. Cancer. 1999;86:728–729. [PubMed] [Google Scholar]
  • 81.von Kobbe C, Harrigan JA, May A, Opresko PL, Dawut L, Cheng WH, Bohr VA. Central Role for the Werner Syndrome Protein/Poly(ADP-Ribose) Polymerase 1 Complex in the Poly(ADP-Ribosyl)ation Pathway after DNA Damage. Mol Cell Biol. 2003;23:8601–8613. doi: 10.1128/MCB.23.23.8601-8613.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Szekely AM, Bleichert F, Numann A, Van Komen S, Manasanch E, Ben Nasr A, Canaan A, Weissman SM. Werner Protein Protects Nonproliferating Cells from Oxidative DNA Damage. Mol Cell Biol. 2005;25:10492–10506. doi: 10.1128/MCB.25.23.10492-10506.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Massip L, Garand C, Turaga RVN, DeschWnes F, Thorin E, Lebel M. Increased insulin, triglycerides, reactive oxygen species, and cardiac fibrosis in mice with a mutation in the helicase domain of the Werner syndrome gene homologue. Experimental Gerontol. 2006;41:157–168. doi: 10.1016/j.exger.2005.10.011. [DOI] [PubMed] [Google Scholar]
  • 84.Eller MS, Liao X, Liu S, Hanna K, Bäckvall H, Opresko PL, Bohr VA, Gilchrest BA. A role for WRN in telomere-based DNA damage responses. Proceedings of the National Academy of Sciences. 2006;103:15073–15078. doi: 10.1073/pnas.0607332103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Michishita E, McCord RA, Berber E, Kioi M, Padilla-Nash H, Damian M, Cheung P, Kusumoto R, Kawahara TLA, Barrett JC, Chang HY, Bohr VA, Ried T, Gozani O, Chua KF. SIRT6 is a histone H3 lysine 9 deacetylase that modulates telomeric chromatin. Nature. 2008;452:492–496. doi: 10.1038/nature06736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Mitchell JR, Hoeijmakers JH, Niedernhofer LJ. Divide and conquer: nucleotide excision repair battles cancer and ageing. Curr Opinion Cell Biol. 2003;15:232–240. doi: 10.1016/s0955-0674(03)00018-8. [DOI] [PubMed] [Google Scholar]
  • 87.de Waard H, de Wit J, Gorgels TGMF, van den Aardweg G, Andressoo JO, Vermeij M, van Steeg H, Hoeijmakers JHJ, van der Horst GTJ. Cell type-specific hypersensitivity to oxidative damage in CSB and XPA mice. DNA Repair. 2003;2:13–25. doi: 10.1016/s1568-7864(02)00188-x. [DOI] [PubMed] [Google Scholar]
  • 88.Garinis GA, van der Horst GTJ, Vijg J, Hoeijmakers HJ. DNA damage and ageing: new-age ideas for an age-old problem. Nat Cell Biol. 2008;10:1241–1247. doi: 10.1038/ncb1108-1241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Lebel M, Cardiff RD, Leder P. Tumorigenic Effect of Nonfunctional p53 or p21 in Mice Mutant in the Werner Syndrome Helicase. Cancer Res. 2001;61:1816–1819. [PubMed] [Google Scholar]
  • 90.Lebel M, Lavoie J, Gaudreault I, Bronsard M, Drouin R. Genetic Cooperation between the Werner Syndrome Protein and Poly(ADP-Ribose) Polymerase-1 in Preventing Chromatid Breaks, Complex Chromosomal Rearrangements, and Cancer in Mice. Am J Pathol. 2003;162:1559–1569. doi: 10.1016/S0002-9440(10)64290-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Agrelo R, Cheng WH, Setien F, Ropero S, Espada J, Fraga MF, Herranz M, Paz MF, Sanchez-Cespedes M, Artiga MJ, Guerrero D, Castells A, von Kobbe C, Bohr VA, Esteller M. Epigenetic inactivation of the premature aging Werner syndrome gene in human cancer. Proc Natl Acad Sci USA. 2006;103:8822–8827. doi: 10.1073/pnas.0600645103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Opresko PL, Calvo JP, von Kobbe C. Role for the Werner syndrome protein in the promotion of tumor cell growth. Mech Ageing Dev. 2007;128:423–436. doi: 10.1016/j.mad.2007.05.009. [DOI] [PubMed] [Google Scholar]
  • 93.Kawasaki T, Ohnishi M, Suemoto Y, Kirkner GJ, Liu Z, Yamamoto H, Loda M, Fuchs CS, Ogino S. WRN promoter methylation possibly connects mucinous differentiation, microsatellite instability and CpG island methylator phenotype in colorectal cancer. Mod Pathol. 2007;21:150–158. doi: 10.1038/modpathol.3800996. [DOI] [PubMed] [Google Scholar]

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