Background
Benzene is ubiquitous in the environment due to its wide use in industry for the production of plastics, resins, dyes and detergents, and its presence in gasoline. Hydroquinone (HQ) is a primary oxidative metabolite of benzene. Globally, there is extensive population and occupational exposure to HQ [
1]. Both benzene and HQ are also found in cigarette smoke and HQ is the most abundant pro-oxidant compound in cigarette smoke tar [
2], though HQ is also found in the plasma of nonsmoker individuals living a Western lifestyle [
3]. In addition to industrial exposure, there is significant dietary exposure to HQ in the form of arbutin, a HQ glucose conjugate [
3]. Also, in some individuals dermal exposure can be significant as HQ is used as a skin-bleaching agent, to treat conditions such as hypermelanosis, vitiligo, and cafe-au-lait spots.
Benzene causes leukemia in humans (reviewed in [
1]) and HQ itself causes DNA damage
in vitro. HQ is capable of binding to both DNA and protein, and can induce oxidative stress and inhibit apoptosis [
4‐
6]. HQ is formed through a multi-step process involving the action of Cytochrome P450s on benzene in the liver and perhaps other organs. HQ can travel to the bone marrow and is oxidized through both autoxidation and by myeloperoxidase (MPO) to highly toxic quinones [
7], thus contributing significantly to benzene toxicity.
Ras proteins transduce cellular signals required for the control of cell growth and differentiation [
8], and activating Ras mutations are present in ~30% of cancers [
9,
10]. The ERK effector kinases of the Ras/MAPK pathway modify diverse substrates which ultimately mediate cellular pathways controlling cell growth [
11]. In a genome-wide functional screen using the yeast
Saccharomyces cerevisiae, we previously identified
IRA2 as required for cellular tolerance to HQ treatment [
6]. Ira2p is a Ras GTPase activating protein (GAP) that stimulates conversion of Ras proteins from their active GTP-bound state to the inactive GDP-bound state. Deletion of
IRA2 results in an increase in active Ras (and thus Ras signaling). Heterozygous germline mutations in
NF1, the human homolog of
IRA2, cause neurofibromatosis type I (NF1), a common developmental disorder with an incidence of 1 in 3000 live births [
12]. NF1 belongs to a group of disorders referred to as the RASopathies (reviewed in [
12]), caused by germline mutations in components of the RAS/MAPK pathway that all give rise to an increased cancer risk [
12]. Individuals with NF1 are predisposed to benign and malignant tumors, which typically arise in cells derived from the embryonic neural crest [
13,
14]. Children with NF1 have a 200–500 fold risk of developing juvenile myelomonocytic leukemia (JMML), an aggressive myeloproliferative disorder (MPD) [
15]. Consistent with its biochemical activity as a negative regulator of Ras signaling, JMML and other NF1-associated neoplasms frequently show somatic inactivation or the normal
NF1 allele [
13,
16]. Patients with NF1 are also at increased risk of developing myeloid leukemia and other genotoxin-induced malignancies [
17], and homozygous mutations in
NF1 were recently reported in a subset of adult acute myelogenous leukemias (AML) [
14].
Homozygous inactivation of a conditional mutant allele of murine
Nf1 in the hematopoietic compartment results in a progressive MPD that models JMML [
18]. Heterozygous Nf1 mutant mice are also susceptible to myelodysplastic syndrome (MDS) and other genotoxin-induced cancers, and appear to be particularly sensitive to the mutagenic effects of radiation [
19,
20]. As with
IRA2 in yeast
, NF1 mutations lead to hyperactive Ras signaling [
21,
22], and are consistent with the high prevalence of somatic
NRAS and
KRAS mutations in these cancers. The association between hyperactive Ras signaling and leukemogenesis is particularly compelling in JMML and chronic myelomonocytic leukemia (reviewed in [
9,
23]).
Altered regulation of Ras signaling and exposure to benzene and its metabolites are both leukemogenic, but the sensitivity of
ira2Δ to HQ represents, to our knowledge, the first observation of a potential synergism. Other examples of synergism between exogenous compounds and altered Ras signaling include the observation that lung carcinomas induced by cumene (a compound structurally similar to HQ) have greater malignant potential in mice with
K-ras mutations [
24], and also that benzene-induced mammary tumors in mice show an increased frequency of
H-ras mutations [
25]. However, an association between Ras signaling status and HQ toxicity has not been previously defined. Here we report our study demonstrating the interaction of mutations in both
IRA2 in yeast and
Nf1 in murine hematopoietic cells with the cellular consequences of HQ exposure.
Discussion
Hydroquinone (HQ) is a benzene metabolite, component of cigarette smoke, and skin-bleaching agent. A genome-wide functional screen in the yeast Saccharomyces cerevisiae identified IRA2 as required for tolerance to treatment with HQ.
IRA2 is a yeast ortholog of the human tumor suppressor gene
NF1, mutations in which cause the disease neurofibromatosis type I (NF1). Affected individuals are pre-disposed to developing cancers, including leukemia, due to increased Ras signaling [
13]. The Ras protein family is involved in signal transduction, and their activation leads to growth, differentiation and cellular survival.
NF1 has been recently identified as important in the development of acute myelogenous leukemia (AML) [
14], the same form of leukemia that is associated with exposure to benzene, an established human leukemogen. However, the association between Ras status and HQ toxicity has not been defined. Our previous identification of
IRA2 as required for HQ tolerance was the first observation of a potential synergism between Ras signaling and the toxicity of benzene. To gain further insight into this association we investigated the requirement of both
IRA2 in yeast and
Nf1 in murine hematopoietic cells for the response to HQ.
The sensitivity of yeast cells lacking IRA2 to HQ was confirmed by analysis of the ira2Δ deletion strain. We found that while ira2Δ cells with increased levels of active Ras were more sensitive to HQ treatment, ras1Δ cells with decreased active Ras were less sensitive, and actually showed resistance to HQ. Consistent with these data, we also found that cells overexpressing RAS1 (effectively phenocopying ira2Δ) show increased sensitivity to HQ. This confirmed that ira2Δ HQ sensitivity is not due to a specific property of Ira2p and provides substantial support for our hypothesis that the level of active Ras signaling modulates the toxicity of HQ.
How could increased Ras signaling cause an increase in HQ toxicity? The observation that modulation of HQ toxicity is specific to signaling through Ras1p (
ras2Δ showed a response to HQ equivalent to WT) provides a potential explanation. Ras1p regulates progression of the cell cycle, and an increase in cell cycle rate could explain increased HQ toxicity. HQ has multiple cellular targets in yeast, including the cytoskeleton and vesicular transport, and it generates oxidative stress, causes lipid peroxidation and damages DNA [
6]. The deleterious effects of these processes could be amplified in the context of increased cell cycle rate, and so would result in an increase in growth inhibition.
In order to study the significance of our findings in human health, we studied the relationship between
Nf1 and HQ tolerance in a murine model. We determined that the
Nf1
−/− genotype renders mammalian bone marrow progenitor cells more sensitive to genotoxic damage by HQ, as measured by an increase in micronuclei formation. We have shown that HQ treatment causes a dose-dependent decrease in the number of CFU-GM colonies derived from both WT and
Nf1
−/− progenitors. However, in contrast to the yeast studies, HQ treated
Nf1
−/−
cell showed increased proliferation in comparison to wild type cells. Our work and previous studies showed that untreated
Nf1
−/−
cells show increased proliferation due to hyperactive Ras [
34], but even after normalization for this effect, HQ treatment at the doses used further increased proliferation of WT progenitors. We therefore propose that null cells may more rapidly divide down the differentiation lineages than WT (regardless of damage), and this higher proliferation of damaged cells could explain the greater MN frequency. By both increasing genetic damage and enhancing survival in
Nf1 mutant hematopoietic cells, HQ could facilitate the development of myeloid malignancies such as MDS and AML.
One possible explanation for this increased relative growth is that HQ could stimulate GM progenitor growth via ERK1/ERK2 and synergize with GM-CSF. Support for this idea comes from the observation that HQ stimulates GM-CSF-dependent proliferation of erythroleukemia cells and human CD34+ bone marrow cells via activation of ERK [
35]. As noted above, in primary
Nf1
−/−
progenitor cells there is constitutive activation of Ras [
34]. GM-CSF [
34] mediates an increased and prolonged Ras activation [
30] and
Nf1
−/−
cells, unable to modulate this effect, are hypersensitive to GM-CSF. Further, HQ acts synergistically with GM-CSF to induce proliferation of progenitor cells that would not normally be recruited by the cytokine [
36]. Deletion of
Nf1 potentiates this effect due to increased Ras activation. Interestingly, 1,4-BQ (from HQ) also induces activation of ERK1 and ERK2 [
37] in rat liver epithelial cells so it is possible that HQ could have a similar effect in bone marrow cells. Similarly, the hyperactive Ras effect of
Nf1
−/−
on erythroid progenitors acts specifically through the ERK pathway and not through other pathways regulated by Ras [
38]. We therefore suggest that the combination of hyper-sensitization to GM-CSF in
Nf1
−/−
cells and activation of ERK by HQ could explain the increased proliferation of null cells relative to WT following HQ treatment. Alternatively or in addition, DNA damage caused by HQ may stimulate proliferation of GM progenitors in
Nf1
−/−
cells via p53 dependent mechanisms. Previous work found that the genotoxin cytarabine causes increased myeloid differentiation in bone marrow cells with a Ras mutation via a p53-dependent mechanism [
39].
Methods
Yeast strains and culture
Diploid yeast deletion strains used for growth analyses were of the BY4743 background (
MATa/
MATα,
his3∆1/
his3∆1,
leu2∆0/
leu2∆0,
lys∆0/
LYS2,
MET15/
met15∆0,
ura3∆0/
ura3∆0, Invitrogen Corporation, Carlsbad, CA). The haploid yeast MORF (Movable ORF - [
40]) strain for
RAS1 overexpression was of the Y258 background (
MATa,
pep4-3,
his4-580,
ura3-53,
leu2-3,112 - Thermo Fisher Scientific Open Biosystems, Huntsville, AL). Growth was conducted in liquid rich media (1% yeast extract, 2% peptone, 2% dextrose, YPD) for deletion strain growth curve assays, and liquid synthetic complete media lacking uracil (SC-ura) using either 2% dextrose or 2% raffinose as a carbon source for pre-growths of the overexpression strain for growth curve assays (detailed below). Liquid rich media for induction of protein overexpression for growth curve assays contained both galactose and raffinose (1% yeast extract, 2% peptone, 2% galactose, 2% raffinose, YPGal + Raf).
Yeast hydroquinone exposures
Hydroquinone (HQ) (Sigma-Aldrich, St Louis, MO) stock solutions were prepared fresh in sterile nuclease-free water (ISC BioExpress, Kaysville, UT) and protected from light.
Yeast deletion strain growth curve assays
Yeast strains were pre-grown to mid-log phase, diluted to an optical density at 600 nm (OD600) of 0.0165, and dispensed into individual wells of a 48-well plate (non-treated polystyrene, Grenier Bio-One, Monroe, NC). HQ stock solution was added to the desired final concentrations with at least two replicates per dose. Plates were incubated in a GENios microplate reader (Tecan, Durham, NC) set to 30°C with intermittent shaking. OD595 measurements were taken at 15-minute intervals for a period of 24 hours. Raw absorbance data were averaged for all replicates, background corrected, and plotted as a function of time. The area under the curve (AUC), used as a measure of growth, was calculated with Excel 2008 (Microsoft Corporation, Redmond, WA) and expressed as a percentage of the control. AUCs were compared with two-way ANOVA followed by Bonferroni post-tests, using GraphPad Prism version 5.01 (GraphPad Software, La Jolla, CA). Data for each strain is derived from three independent biological replicates.
Yeast RAS1 overexpression strain growth curve assays
The yeast RAS1 overexpression strain was pre-grown overnight to stationary phase in SC-ura 2% dextrose, diluted 1:100 in SC-ura 2% raffinose and grown overnight again to alleviate glucose repression. Cells were then diluted in YPGal + Raf to induce protein overexpression, and grown for 5 hours to mid-log phase. Cells were subsequently diluted to an optical density at 600 nm (OD600) of 0.0165 in YPGal + Raf, and dispensed into wells of a 48-well plate. Hydroquinone treatment, plate measurement and data processing were all carried out in the same manner as for the deletion strain growth curve assays.
Mice
Mx1-Cre, Nf1
flox/flox
mice (129SV × C57BL/6 J) were generated and somatic
Nf1 inactivation was induced as described elsewhere [
18]. We refer to hematopoietic cells from these animals as
Nf1
−/−
throughout this paper. Cells from wild type (WT) littermates were used as controls in all experiments. Mice were maintained in the sterile animal care facility at the University of California, San Francisco (UCSF), and were fed pelleted chow and acidified water ad libitum. All experimental procedures involving mice were approved by the UCSF Committee on Animal Research.
Murine cells
Tissue was harvested from mice at ~12 weeks. Bone marrow (BM) cells were isolated from the hind legs and were mechanically dissociated by pipetting in Iscove’s modified Dulbecco’s medium (IMDM) with L-glutamine/4% FBS (IMDM – Lonza, Walkersville, MD). Single-cell suspensions were prepared by passing dissociated cells through 70 μm cell strainers. BM cells were counted using a hemocytometer.
Erythropoietic culture
Total BM cells were labeled with biotin-conjugated α-Lin Abs, consisting of α -CD3e, α -CD11b, α -CD45R/B220, α -Ly6G/Ly6C, and α -TER-119 Abs (2 μl of each Ab/106 cells; BD Pharmingen, San Diego, CA), and Lineage-marker-negative (Lin-) cells were purified through a 0.3-in StemSep negative selection column as per the manufacturer’s instructions (StemCell Technologies, Vancouver, BC, Canada). Purified cells were seeded in fibronectin-coated (2 μg/cm2) tissue culture treated 24-well polystyrene plates (BD Falcon, BD Biosciences San Jose, CA) at a cell density of 105 cells/ml. On the first day, purified cells were cultured in IMDM containing basal supplements consisting of: 15% FBS, 1% detoxified BSA, 200 μg/ml holotransferrin (Sigma, St Louis, MO), 10 μg/ml recombinant human insulin (Sigma), 10-4 M β-mercaptoethanol, 50 units/ml penicillin G, and 50 μg/ml streptomycin; as well as soluble erythropoietic factors including erythropoietin (Epo - Amgen, Thousand Oaks, CA) at 7.5 units/ml and stem cell factor (SCF - R & D Systems, Minneapolis, MN) at 10 ng/ml. For all cultures, media was replaced with erythroid-differentiation medium (EDM) (IMDM with 20% FBS, and 10-4 M β-mercaptoethanol) after 1 day of culture. At harvest, suspended cells were removed from culture wells by pipetting, and the culture well was then incubated in PBS/10% FBS/5 mM EDTA for 5 minutes at 37°C to dissociate adherent cells. Dissociated cells were then removed from the culture well by pipetting and combined with the suspended cell fraction from the same culture well for analysis. Viable cell counts, based on trypan blue exclusion, were conducted using a hemocytometer.
Genotoxic treatment of erythropoietic cultures
Lin- BM was cultured in 500 μl of medium per culture well according to the method described for erythropoietic culture. Cultures were treated one hour before being washed and fed with EDM, as earlier described. HQ solutions were prepared immediately before treatment and protected from light to minimize degradation and decreased reactivity. HQ (Sigma) was first dissolved in warm PBS to make a 10 mM stock solution. This 10 mM solution was diluted in 4°C PBS to produce 7.575 mM and 5.05 mM solutions, and 5 μl of a solution was added to each culture to expose them to the targeted concentrations of HQ (100 μM, 75 μM, and 50 μM).
Cytospin preparation and cytological staining
Approximately 2×104 cells per culture were centrifuged onto slides for 2 minutes at 800 rpm (Statspin Cytofuge 2; Iris Sample Processing Westwood, MA) and air-dried. For acridine orange staining, cells were fixed in 25°C methanol for 10 minutes and stained in acridine orange (Sigma) at a concentration of 20 μg/ml in staining buffer (19 mM NaH2PO4 and 81 mM Na2HPO4) for 10 minutes at 4°C. Following acridine orange staining, slides were protected from light, washed for 10 minutes in 4°C staining buffer, air-dried, and stored at 4°C until microscopic examination and scoring was complete.
Histological imaging and quantification
Slides were examined by using an Axioplan 2 microscope (Carl Zeiss MicroImaging GmbH, Germany) and representative micrographs were acquired by using Axiocam MRm (Carl Zeiss). Micrographs of acridine orange stained cells were acquired by using a 63x oil-immersion objective and fluorescence (100 W Hg lamp excitation). Cytological slides were examined blind, and differential cell counting was used to enumerate relevant cell types and thus quantify the frequency of micronucleated polychromatic erythrocytes (MN-PCEs) among total PCEs (>2,000 PCEs scored per slide).
Statistics
To determine the statistical significance of mean comparisons, distributions were first checked for normality by using the Shapiro–Wilk's test with STATA 11 (StataCorp, College Station, TX). Normal data sets were then subjected to two-way ANOVA analysis. Interaction between dose and breed was examined but found to be insignificant and so was not used in the model. Two-tailed Student’s t tests were executed by using the data analysis tool in Excel (Microsoft Corporation, Redmond, WA). Unequal variance was assumed to increase confidence in significant p-values.
Progenitor assays
Colony forming unit granulocyte/macrophage (CFU-GM) progenitors were grown in MethoCult® (StemCell Technologies, Cat #03434) according to manufacturer’s instructions (Technical Manual Cat# 28405). Briefly, BM cells were suspended at 4×105/ml in IMDM/2% FBS and then 200 μl of this suspension was added to 4 ml aliquots of MethoCult® M3434, which were then vortexed briefly. A fresh solution of 10 mM HQ (Sigma) was then prepared in warm PBS and sterile filtered through a 0.2 μm membrane (Pall Life Sciences, Ann Arbor, MI). This 10 mM HQ stock solution was then further diluted to give 600 μM, 400 μM, and 200 μM solutions, and then 200ul of one of these solutions was used to treat each 4 ml aliquot of MethoCult® at a concentration of 30 μM, 20 μM, or 10 μM. After delivery of HQ, the MethoCult® was again vortexed briefly and the tubes were left to stand for 5 minutes to allow bubbles to dissipate. A 16G blunt-end needle and 3 ml syringe were then used to draw up the treated MethoCult® and dispense 1.1 ml into each of three 35 mm petri dishes (StemCell Technologies, Cat# 27100). These 35 mm culture dishes (3 per genotype/treatment replicate) were then tilted and rotated gently to evenly distribute MethoCult® and placed in a 100 mm culture dish that also contained an uncovered 35 mm culture dish containing 3 ml of sterile water to maintain humidity. The cultures were placed in an incubator and maintained at 37°C, 5% CO2 in air, and >95% humidity for 12 days, then colonies were scored. The scoring scientist was blinded to the identity of each culture (genotype/treatment). Two independent preparations of each culture condition (combination of genotype/treatment) were used in each trial, and the entire experiment was repeated three further times using independent sets of Nf1
−/−/WT littermates.
Acknowledgements
We thank Luis Parada (UT Southwestern) for providing Nf1 mutant mice, Michael Crone and Kimberly Krisman for assistance with animal care and handling, Sharon Louie, Jimmy Duong, and Paul Shiu for technical assistance, and Dr. Abby Leeder for critical reading of the manuscript. MN was a postdoctoral trainee and MF was a graduate trainee in the Superfund Research Program at the University of California, Berkeley.
This research was supported by NIEHS under Award Number P42ES004705. The content is solely the responsibility of the authors and does not necessarily represent the official views of either NIH or NIEHS. JS was supported by the Canary Foundation and American Cancer Society Early Detection Postdoctoral Fellowship. KS is supported by NIH grant CA72614 and an American Cancer Society Research Professorship.
Competing interests
MTS has received consulting and expert testimony fees from law firms representing both plaintiffs and defendants in cases involving claims related to exposure to benzene.
Authors’ contributions
MN, JS, MF, KS, LZ, MTS and CDV conceived and designed the experiments. MN, JS, and MF performed the experiments. MN, JS, MF and AL analyzed the data. KS, LZ, MTS and CDV contributed reagents and materials. MN, JS, MF, KS, LZ, MTS and CDV wrote the paper. All authors read and approved the final manuscript.