Abstract
Normal stem cells reside in functional niches critical for self-renewal and maintenance. Neural and hematopoietic stem cell niches, in particular, are characterized by restricted availability of oxygen and the resulting regulation by hypoxia inducible factors (HIFs). Glioblastoma multiforme (GBM) is the most common malignant brain tumor and also contains high degrees of hypoxia. Heterogeneity within the neoplastic compartment has been well characterized in GBM and may be derived from genetic and epigenetic sources that co-evolve during malignant progression. Recent experimental evidence has supported the importance of hypoxia in cancer stem cell (CSC) niches. We hypothesized that HIFs require epigenetic modifying proteins in order to promote tumor malignancy in GBM. Here we demonstrate that in GBM the histone methyltransferase Mixed-Lineage Leukemia 1 (MLL1) is induced by hypoxia and enhances hypoxic responses. Loss of MLL1 reduces expression of HIF transcripts and HIF2α protein. Targeting MLL1 by RNA interference inhibited expression of HIF2α and target genes, including VEGF. CSCs expressed higher levels of MLL1 than matched nonstem tumor cells and depletion of MLL1 reduced CSC self-renewal, growth, and tumorigenicity. These studies have uncovered a novel mechanism mediating tumor hypoxic responses linking microenvironmental regulation of epigenetic modifying proteins to cellular heterogeneity and provide rationale for the design of more sophisticated clinical approaches targeting epigenetic regulation.
Keywords: hypoxia, MLL1, cancer stem cell, HIF2α, epigenetics
Introduction
Glioblastomas (GBMs) are one of the most lethal adult malignancies with current therapy offering only palliation [1]. Recent elegant genetically engineered models [2] and systematic genomic analyses [3, 4] have provided new insights into GBM pathogenesis. Characterization of GBM molecular subtypes has further refined our understanding of the intertumoral heterogeneous nature of the disease [5]. Additional complexity in tumor biology is derived from intratumoral heterogeneity within the neoplastic compartment. Cellular heterogeneity is driven by two complementary forces: stochastic genetic mutations and epigenetic hierarchies [6]. At the apex of the tumor hierarchy are cancer stem cells (CSCs, also known as tumor initiating cells or tumor propagating cells) that are functionally defined by their capacities for self-renewal and ability to propagate tumors [6]. While some cancers may not follow the CSC model, GBMs have been the subject of numerous studies supporting the presence of GBM stem cells (GSCs) [7–10]. GSCs remain controversial due to the unresolved nature of the cell(s) of origin, immunophenotypes (enrichment markers), and frequency within tumors. Rigorous functional studies have permitted the identification and characterization of GSCs [8, 11] and provided evidence that GSCs are resistant to conventional therapy [7, 12, 13]. GSCs are enriched in regions around tumor vessels and necrosis [14], the latter associated with restricted oxygen/hypoxia. GSC maintenance requires both hypoxia inducible factor-1α (HIF1α) and hypoxia inducible factor-2α (HIF2α) with HIF2α being preferentially expressed in the GSC compartment [10, 15–17]. However, the molecular mechanisms mediating the effects of hypoxia and HIF2α to promote a stem-like state are poorly characterized, and the regulation HIF2α expression in GSCs is unknown. Microenvironmental conditions such as hypoxia and acidic stress actively promote the expression of GSC markers and functional characteristics [15–18], suggesting that the GSC phenotype is plastic and can be modulated by the microenvironment, reminiscent of induced pluripotency [19, 20]. Indeed, molecular regulators of induced pluripotent stem cells (iPSCs), such as Sox2 and c-Myc, are expressed by GSCs and regulated by the microenvironment [21, 22]. As normal stem cells exhibit characteristic chromatin patterns [23], we interrogated GSC chromatin regulation in response to hypoxia.
The polycomb genes (e.g. Bmi1) that repress transcription have received substantial attention in glioma and GSCs [24, 25], but the trithorax group that activates transcription has been less well studied and may represent important molecular regulators of cancer phenotypes. One member of the trithorax group involved in cancer is Mixed-Lineage Leukemia 1 (MLL1) [also known as HRX (human trithorax) or ALL-1 (acute lymphocytic leukemia-1)], which is involved in chromosomal rearrangements in a variety of leukemias, including the majority of infant leukemias [26–29]. MLL1 encodes a large protein (3969 amino acids) with several functional domains, including a SET (Su(var), Enhancer of zeste, Trithorax) domain that contains histone methyltransferase (HMT) activity [29–32]. The loss of regulatory domains and aberrant downstream activity are common among MLL1 fusion proteins [26, 27] in leukemia. MLL1 has not been associated with brain tumors to date, but MLL2 and MLL3 are mutated or amplified in medulloblastomas and GBMs [33, 34]. Methylation of specific histone lysine residues may either activate or silence gene expression. Bivalent histone methylation is commonly found in stem cell populations and causes genes to be silenced but poised for activation by MLL1 or other chromatin modifying proteins, as observed in normal neurogenesis from postnatal neural progenitor cells [35]. MLL1 directly functions as a histone 3 lysine 4 (H3K4) methyltransferase but can also recruit histone 3 lysine 27 (H3K27) demethylases in its complex [30, 36]. Although the MLL1 complex may regulate large numbers of genes in some cell types during embryonic development and hematopoiesis, the number of target genes may be much smaller in adult tissues [36]. The significance of MLL1 has been largely investigated in leukemia models using gene fusions [26, 28, 31], which transform hematopoietic progenitors and can aberrantly promote expression of tumorigenic target genes such as the homeobox gene HoxA9. Little is known about wild type MLL1, but a recent report demonstrated that DNA damage leads to MLL1 phosphorylation and checkpoint regulation [32]. Further, the core stem cell regulators p53 and β-catenin associate with MLL1 during transcriptional activation [37]. Thus, MLL1 and its family members are critical cellular regulators of normal stem cell biology (particularly in the brain) and oncogenesis that integrate a variety of pathways in transcriptional regulation.
Based on this background we hypothesized that MLL1 may be implicated in the hypoxia response of GBMs and in regulating the tumorigenicity of GSCs. In this study, we examined the relationship between hypoxia and the histone modifier MLL1. We sought to better understand how MLL1 might regulate HIF2α expression and downstream hypoxia responses that have been previously described as important to the tumorigenic phenotype. Finally, we interrogated the effect on tumor propagation following modulation of MLL1 in GSCs.
Materials and Methods
Isolation and Culture of Cancer Stem Cells and Nonstem Cancer Cells
Cultures enriched or depleted for GSCs were isolated from primary human brain tumor patient specimens or human glioblastoma xenografts as previously described in accordance with a Duke University or Cleveland Clinic Foundation Institutional Review Board approved protocol concurrent with national regulatory standards with patients signing informed consent as previously described [7]. GSCs were cultured in Neurobasal media with B27 (without Vitamin A, Invitrogen), basic fibroblast growth factor (bFGF, 10 ng/ml) and epidermal growth factor (EGF, 10 ng/ml). After trypsinization, nonstem glioma cells were cultured overnight in Dulbecco’s minimal essential media (DMEM) and 10% fetal bovine serum (FBS) to allow cell attachment and survival. Then, in some cases, DMEM medium was removed and the cells cultured in supplemental Neurobasal medium in order for experiments to be performed in identical media. To induce hypoxia, cells were cultured in multi-gas chambers (Sanyo). Nitrogen gas was supplied to the chambers in order to compensate for the reduced percentage of oxygen. Alternatively, cells were treated by 200 μM hypoxia-mimetic deferoxamine mesylate (DFX, Sigma).
Semi-Quantitative PCR
Total RNA was harvested from cells using RNAeasy Kit (Qiagen). PCR was performed on cDNA generated by Superscript III reverse transcriptase (Invitrogen) or qScript Reverse Transcriptase (Quanta Biosciences) and subsequent semi-quantitative PCR was performed using SYBR Green Master Mix (Qiagen). Primers used were as follows: MLL1 forward 5′-CAGATAAAGTCCAGGAAGCTCG-3′ and reverse 5′-GTAATTTCGACAGTGCTTGGC-3′; HIF1α forward 5′-TCCATGTGACCATGAGGAAA-3′ and reverse 5′-CCAAGCAGGTCATAGGTGGT-3′; Vascular Endothelial Growth Factor (VEGF) forward 5′-AGTCCAACATCACCATGCAG-3′ and reverse 5′-TTCCCTTTCCTCGAACTGATTT-3′; HIF2α forward 5′-CCACCAGCTTCACTCTCTCC-3′ and reverse 5′-TCAGAAAAAGGCCACTGCTT-3′; HoxA9 forward 5′-AATGCTGAGAATGAGAGCGG-3′ and reverse 5′-GGGTCTGGTGTTTTGTATAGGG-3′; phosphoglycerate kinase 1 (PGK1) forward 5′-GCTTCTGGGAACAAGGTTAAAG-3′ and reverse 5′-CTGTGGCAGATTGACTCCTAC-3′; and Olig2 forward 5′-AGCTCCTCAAATCGCATCC-3′ and reverse 5′-ATAGTCGTCGCAGCTTTCG-3′. All data were normalized to Actin transcript levels.
HIF2α Small Molecule Inhibition
U87 or 4121 cells were treated with 10 μM (final concentration) of HIF2α inhibitor 77 or vehicle control for 24 hours prior to hypoxic stimulation [38]. Media were changed every 24 hours with inhibitor or control added following media change.
Luciferase Assay
U87 cells bearing the hypoxia response element (HRE) driving luciferase expression construct were cultured in DMEM with 10% FBS. Following 24 hours of pre-treatment with HIF2α inhibitor, the cells were treated with 1%, 2%, or 21% oxygen and the inhibitor concurrently. After 24 hours of treatment, total cell lysates were harvested by passive lysis buffer containing luciferin (Promega). Luciferase activity was measured using a luminometer (Perkin-Elmer).
Immunoblotting
Prior to lysis, cells were washed once with cold phosphate buffered saline (PBS). Total cell lysates were prepared by the addition of RIPA lysis buffer (Sigma) containing protease inhibitors (Sigma) and placed at −20°C for no less than 1 hour. Brief sonication with a wand-style sonicator (Fisher Scientific) at 10% duty cycle was used to ensure complete lysis of the nuclear membrane. Total protein was separated on bis-acrylamide gels and transferred to polyvinylidene fluoride (PVDF) membranes. Primary antibodies for MLL1 (1: 500, Abcam), TUBULIN (1:10,000, Millipore), or HIF2α (1:1000, Novus) were incubated overnight at 4°C. Secondary antibodies conjugated to horseradish peroxidase (HRP, Jackson Labs) or infrared epitopes (Licor) were incubated for 1 hour at room temperature, protected from light.
Immunofluorescent Imaging
Brain sections or cells were fixed in 4% paraformaldehyde (PFA, Sigma) for 15 minutes at room temperature. After fixation, samples were washed with PBS. Prior to blocking, sodium citrate boiling was performed for 5 minutes to enhance antigen retrieval. Samples were blocked in buffer containing 10% normal goat serum, 0.1% Triton X-100, and 0.01% Sodium Azide in PBS for 30 minutes at room temperature. Following blocking, primary antibody, green fluorescent protein (GFP;1:500, Aves Labs), MLL1 (1:100, Abcam), CD133 (1:500, Abcam) or HIF2α (1:500, Millipore), was added and incubated at 4°C overnight. The next day secondary antibodies conjugated to fluorescent isotopes (Alexa Fluor, Invitrogen) were added to cells at appropriate dilutions. After incubation, Hoescht 33342 nuclear stain was added for 5 minutes. Images were taken on a wide-field inverted fluorescent or confocal microscope (Leica).
Targeting of MLL1 by RNA interference
To screen RNA interference vectors, 293T cells were transfected with control or MLL1 short hairpin RNA (shRNA) containing lentiviral plasmids with packaging DNA and resulting virus containing media used to infect glioma cells. A non-targeting (NT) vector designed to activate the RISC and RNAi pathways, but not target any human genes, was used as control (Sigma-Aldrich). shRNA plasmids (Sigma-Aldrich) used for experiments were:
shRNA 1 sequence, targeting the coding sequence:
CCGGGATTATGACCCTCCAATTAAACTCGAGTTTAATTGGAGGGTCATAATCTTTTTG;
shRNA 2 sequence, targeting the 3′ untranslated region:
CCGGTGCCTGGAAGGAGCCTATTATCTCGAGATAATAGGCTCCTTCCAGGCATTTTTG.
Vectors contained either a puromycin or GFP selection marker.
VEGF ELISA
GSCs were plated at equal density on reduced growth factor extracellular matrix (Geltrex, Invitrogen) treated tissue culture dishes in standard GSC media without bFGF or EGF. Following 24 hours of culture, media were harvested, filtered, and VEGF quantified using a QuantiGlo chemiluminescent EISA kit (R&D Systems) with a luminometer (PerkinElmer).
Thymidine Incorporation
Human umbilical vein endothelial cells (HUVECs, ATCC) were plated at a density of 10,000 cells/well in six-well dishes in appropriate media and allowed to recover overnight. The following day the media were replaced with conditioned media collected from GSCs transduced with MLL1 shRNA or NT shRNA (as described above), and HUVECs cultured with conditioned media for an additional 24 hours. Tritiated thymidine was then added for six hours followed by quantification using a scintillation counter.
Cell Titer Assay
GSCs and nonstem GBM cells were trypsinized and plated into 96-well plates containing appropriate growth media at a density of 1000 cells/well on Day 0. Adenosine triphosphate (ATP) levels were measured over time using a Cell Titer Glo kit (Promega) and luminometer (PerkinElmer).
Neurosphere Culture Assay
GSCs were cultured in Neurobasal media with B27 in the presence of growth factors for at least 24 hours prior to plating. Cells were sorted by flow cytometry into 96-well plates (Sarstedt) at 10 cells per well. Wells were serially observed over 14 days and the number of neurospheres per well was counted. Images of neurospheres were taken using a wide-field microscope (Leica).
Chromatin Immunoprecipitation (ChIP)
Following transduction with shRNA and hypoxia unfractionated GBM cells were grown on Geltrex in 10cm tissue culture treated dishes. ChIP was performed according to manufacturer’s instructions (Millipore). Briefly, cells were fixed for 10 minutes at room temperature with 1% (final concentration) PFA. 125 mM (final concentration) Glycine was added for 5 minutes at room temperature to quench unreacted PFA. Cells were collected and lysed in a 1% Sodium Dodecyl Sulfate (SDS) solution. Cells were subjected to sonication at 30% duty cycle using a wand-style sonicator (Fischer Scientific) for 15 seconds then put on ice for no less than 60 seconds. This cycle was repeated 5 times for each sample. Following sonication, 100 μL aliquots were diluted into 900 μL ChIP dilution buffer (Millipore) and pre-cleared with 60 μL Protein A-agarose/Salmon Sperm DNA beads. 5 μg of primary antibody (H3K4m3 or H3K27m3, Millipore) were added overnight. The following day the bead-antibody complexes were washed, crosslinks reversed, and DNA purified by phenol/chloroform extraction. DNA was analyzed by RT-qPCR utilizing primers designed to amplify regions of HIF2A, HOXA9, MLL1, or VEGF DNA less than 1000 base pairs from the transcriptional start site (Qiagen).
Orthotopic Transplantation Assays
Intracranial implantation of GBM cells was performed in accordance with Cleveland Clinic Foundation Institutional Animal Care and Use Committee approved protocols concurrent with national regulatory standards [7, 10]. GSCs bearing MLL1 shRNA or NT control were implanted into the right frontal lobes of athymic nu/nu mice. Mice were monitored daily for signs of neurological deficit. At the development of neurological impairment, the mice were perfused with 4% PFA, brains removed, and placed in 4% PFA. Brains were then cryo-protected in a 30% sucrose solution and frozen. Immunofluorescent imaging was performed as described above.
Statistical Analysis
Descriptive statistical analysis was generated for all repeated quantitative data with inclusion of means and standard error. Significance was tested by Student’s t-Test using SigmaStat 3.5 (Chicago, IL).
Results
Hypoxia increases expression of histone methyltransferase, MLL1
As studies have defined the ability of hypoxia to regulate epigenetic modifiers [20], we interrogated the importance of epigenetic regulators on the hypoxia-induced GSC phenotype. One epigenetic modifier previously implicated in leukemia stem cells is the histone methyltransferase MLL1 [26, 28, 29, 31]. To determine if MLL1 could play a role in GBM hypoxia responses, we evaluated the transcriptional regulation of MLL1 to environmental oxygen using xenograft-derived 4121 and 387 nonstem cells, which had been previously characterized to gain GSC characteristics after exposure to hypoxia [15]. MLL1 mRNA levels were significantly increased under atmospheric hypoxia (1% O2) or treatment with the hypoxia mimetic deferoxamine mesylate (DFX, Figure 1A,B). These results were confirmed in newly derived CW619 nonstem tumor cells exposed to DFX (Figure 1C). The ability of both 1% O2 and DFX to induce hypoxic gene responses was confirmed by significant induction of HIF2α (Figure 1D,E,F) and VEGF (Figure 1G,H,I) as in our prior report [10]. These data support the hypothesis that microenvironmental hypoxia induces the epigenetic modifying protein, MLL1.
HIF1α and HIF2α are necessary for MLL1 induction
HIFα isoforms have differential effects and expression within glioma [10]. Overexpression of nondegradable HIF2α promotes tumorigenicity in nonstem GBM cells, and HIF2α is preferentially expressed in the GSCs in response to hypoxia [15, 16]. Although HIF2α is preferentially expressed in GSCs, HIF1α is also present in GBM subpopulations. To determine if HIF1α or HIF2α is required for MLL1 hypoxic regulation, 4302 (Figure 2A), 387 (Figure 2B), and 4121 (Figure 2C) nonstem glioma cells were treated with HIF1A or HIF2A shRNA and then subjected to hypoxia via DFX. We confirmed specificity of the HIF shRNA constructs (Supplemental Figure 1 A–D). Both HIFs modulated MLL1, suggesting that MLL1 is a general hypoxic target (Figure 2A–C). To rule out off-target effects of the HIF shRNA, we utilized a HIF2α small molecule inhibitor (inhibitor 77, generated by the Iliopoulos Laboratory) that prevents HIF2A translation thereby reducing HIF2α protein levels [38]. To verify the efficacy of the drug, U87MG glioma cells stably expressing hypoxia responsive elements (HRE) driving luciferase expression were treated with the HIF2α inhibitor (Figure 2D). HRE activity under moderate hypoxia (2% O2) was decreased by greater than 80% when cells were treated with HIF2α inhibitor, whereas more modest effects (50% inhibition) were observed with severe hypoxia (1% O2) (Figure 2D). These data were consistent with evidence that HIF2α, but not HIF1α, is stabilized at oxygen tensions greater than 1%, and both HIF1α and HIF2α proteins are stable at ≤ 1% O2 [10]. Attenuated responses to hypoxia were associated with the ability of the HIF2α inhibitor to reduce HIF2α protein expression as expected (Figure 2E). After confirming that the HIF2α inhibitor was effective in glioma cells, we measured inhibitor effects on MLL1 expression. Unfractionated 4121 cells were exposed to hypoxia induced by DFX treatment in the presence and absence of HIF2α inhibitor. Treatment with the HIF2α inhibitor did not alter HIF2A transcript levels (Figure 2F) but caused a complete loss of the hypoxic response of MLL1 mRNA levels (Figure 2G). We next determined if MLL1 was a direct transcriptional target of the HIFs. Promoter analysis of MLL1 revealed a lack of consensus HRE binding sites typically found in HIF targets, like VEGF (data not shown). To further evaluate HIF binding, ChIP was performed on HIF2α and the presence of MLL1 DNA was analyzed. In comparison to VEGF positive control, we observed no significant difference in HIF2α binding to MLL1 DNA in 21% or 1% O2 cultured cells, which suggests that MLL1 is not a direct transcriptional target of the HIFs (Supplemental Figure 1E). These data define MLL1 as a novel hypoxia response gene indirectly regulated by the HIFs.
MLL1 can be efficiently targeted with shRNA
To further define the functional roles of MLL1 in GBM, we characterized the ability of multiple shRNAs directed against MLL1 in comparison to a non-targeting (NT) control to decrease the expression of MLL1 in GBM cells (data not shown). We identified two different shRNAs against MLL1, designated shRNA1 and shRNA2, which were effective in reducing the expression of MLL1 mRNA in 4121 nonstem glioma cells at 21% O2 and under hypoxia (Figure 3A). The reduction of MLL1 mRNA was sufficient to decrease MLL1 protein expression (Figure 3B), suggesting the shRNAs may inhibit MLL1 mediated downstream effects. As MLL1 is a H3K4 methyltransferase, we measured global H3K4 triple methylation by western blot with MLL1 knockdown. No difference was seen in global H3K4m3 levels (data not shown), similar to reports suggesting that H3K4 methyltransferases contain familial redundancy and knockout of specific factors only affects a small subset of genes [36]. However, we did confirm that targeting MLL1 had functional consequences as MLL1 shRNA decreased the expression of HoxA9, a downstream target of MLL1 (Figure 3C). These data demonstrate the ability to effectively reduce MLL1 expression and function through introduction of specific shRNAs.
Loss of MLL1 reduces HIF2α expression and hypoxia-induced signaling
To further elucidate the role of MLL1 in hypoxia responses, we determined the effect of MLL1 knockdown on nonstem tumor cells in which hypoxia was previously characterized to promote phenotypic changes [15]. We first examined the effect on HIF1α and HIF2α protein levels following MLL1 knockdown. Surprisingly, although both HIFs are required for hypoxic regulation of MLL1, knockdown of MLL1 has a specific effect on HIF2α. Inhibition of MLL1 via shRNA in 387 nonstem glioma cells induced a decrease of HIF2α protein levels as assessed by immunoblotting (Figure 3D) and immunofluorescence (Figure 3E and Supplemental Figure 2A) but did not affect HIF1α levels (Figure 3D). Our results demonstrated co-distribution of MLL1 and HIF2α as well as loss of HIF2α expression in cells without MLL1. Hypoxia induced transcription of HIF2A (Figure 3F and Supplemental Figure 2B) was significantly down regulated by MLL1 inhibition as well. While these data suggest that MLL1 regulates HIF1A transcript (Figure 3G and Supplemental Figure 2C), the greater than 85% reduction in HIF2A transcript levels under hypoxia with MLL1 targeting (Figure 3F) demonstrates more potent and specific effects on HIF2A versus HIF1A. To further elucidate the effects of MLL1 targeting on hypoxia signaling, we evaluated the mRNA expression of known HIF target genes. We found that levels of VEGF (Figure 3H and Supplemental Figure 2D) and phosphoglycerate kinase 1 (PGK1, Figure 3I and Supplemental Figure 2E) are both potently reduced by MLL1 knockdown. We also confirmed that targeting MLL1 decreased overall HIF transcriptional activity by evaluating HRE activity via luciferase expression (Figure 3J).
We next performed ChIP to determine the mechanism by which MLL1 regulated HIF2A transcription. We hypothesized that the mode of action of MLL1 on HIF2A was due to changes in histone modification at the HIF2A promoter. By analyzing the relative levels of regions proximal to the HIF2A start site on triple-methylated histone 3 lysines 4 (H3K4m3) and 27 (H3K27m3), we found that inhibition of MLL caused a loss of H3K4m3 (a pro-transcriptional signal) and an increase in H3K27m3 (a transcriptional repressive signal; Supplemental Figure 3). This is similar to previously published results that observed in MLL1-knockout mice that MLL1 target genes had increased H3K27m3 marks upon disruption of MLL1 [35]. These data demonstrate that loss of MLL1 reduces HIF2A transcription, likely by post-translational modifications of histone moieties near the HIF2A start site.
MLL1 is preferentially expressed in GSCs
As GSCs possess elevated levels of HIF2a [10] that may be regulated by MLL1, we hypothesized that MLL1 is preferentially expressed in GSCs. Our laboratory and others have previously determined that GSCs often can be prospectively enriched from many human glioma xenografts and patient specimens using cell surface marker CD133 (Prominin-1). We previously employed CD133-enrichment to derive cultures that fulfill GSC functional characteristics (self-renewal, multilineage differentiation, stem cell marker expression, and tumor propagation). In our models, CD133-positive GBM cells have an increased ability to form neurospheres that express cancer stem cell markers including Nestin and Olig2 (Supplemental Figure 4). Using matched GSCs and nonstem GBM cells (4121 and 387 tumor specimens), we utilized a PCR screen for epigenetic modifiers to determine if MLL1 or other factors displayed preferential expression. Out of 96 epigenetic regulators, only MLL1 demonstrated consistent preferential expression in the GSCs (Figure 4A). The differential mRNA expression translated into increased MLL1 protein in GSCs as verified by immunoblotting (Figure 4B). As these data suggested an important role for MLL1 in GSCs, we examined additional samples that were enriched or depleted for GSCs. Using real-time PCR, preferential mRNA expression of MLL1 was confirmed in 4121 and 387 GSCs and GSCs isolated from the additional xenograft 4302 (Figure 4C). Enrichment for the GSC subpopulation was confirmed through elevated Olig2 mRNA (Figure 4D). We further assessed MLL1 expression in GSCs by immunofluorescence. In GSCs grown in suspension culture, MLL1 demonstrated high levels of co-localization with validated GSC marker, CD133, in three separate specimens (Figure 4E). These findings implicate MLL1 in glioma maintenance.
Hypoxia regulates MLL1 expression in GSCs
Our data demonstrated that MLL1 was preferentially expressed in GSCs and hypoxia regulated in glioma cells. We therefore sought to determine whether MLL1 was regulated by hypoxia in GSCs. Minimally cultured 387 and 4302 GSCs were exposed to hypoxic conditions induced through culture at 1% O2 or exposure to DFX. Both treatments significantly increased MLL1 mRNA in the GSCs (Figure 5A, B) and induced other hypoxic gene responses as confirmed by the induction of HIF2α (Figure 5C, D) and VEGF (Figure 5E, F). To confirm a role for HIF2α in MLL1 regulation, we also utilized the HIF2α small molecule inhibitor which had no effect on hypoxia induced HIF2α mRNA (Figure 5G) but significantly reduced MLL1 mRNA levels (Figure 5H). These data supported our earlier findings in unfractionated tumor cells (Figure 2G). Together, these data demonstrated MLL1 is hypoxia responsive and a HIF2α target gene in GSCs.
Targeting MLL1 in GSCs reduces VEGF expression and GSC-mediated endothelial cell growth
As GSCs contribute to tumor growth through the hypoxia responsive gene VEGF to promote tumor angiogenesis [39], we determined the contribution of MLL1 to VEGF production. Knockdown of MLL1 in 4121 (Figure 6A) or 387 (Figure 6B) GSCs led to a significant decrease of secreted VEGF. Conditioned media from the same patient-derived specimens was also applied to HUVECs and the relative HUVEC growth was assessed by incorporation of tritiated thymidine (Figure 6C). Conditioned media from MLL1 depleted glioma cells displayed significantly reduced ability to stimulate HUVEC growth (Figure 6C). These data indicate that hypoxic induction of MLL1 contributes to the angiogenic nature of glioblastoma cells. MLL1 is not only important for VEGF regulation in GSCs, but targeting of MLL1 has downstream biological consequences on GSC growth as well.
Loss of MLL1 inhibits GSC growth and self-renewal
Central to the CSC paradigm is the notion that the stem-like subpopulation exhibits sustained proliferation and self-renewal that contributes to tumor propagation [6]. We therefore examined whether MLL1 contributes to the growth and self-renewal capacity of GSCs in vitro. Following stable incorporation of MLL1 directed shRNA or NT control into GSCs isolated from 4121 (Figure 7A) or 387 (Figure 7B) xenografts, we sequentially measured GSC growth. Depletion of MLL1 significantly reduced GSC growth within three days and led to a greater than five fold reduction in the number of cells at seven days in both GSC samples. We also compared the effects of MLL1 knockdown on growth rates of nonstem tumor cultures (Supplemental Figure 4B). Although we observed statistically significant growth inhibition in the nonstem tumor cells, the extent of the reduction in cell numbers was always greater in the GSCs. These data demonstrate that MLL1 is important in both glioma subpopulations tested, but MLL1 is especially critical for the growth of GSCs.
As an in vitro measure of a stem cell-like behavior, neurosphere formation demonstrates the ability to proliferate and is also utilized as a surrogate measure of self-renewal. We measured the ability of GSCs to form neurospheres following MLL1 inhibition. GSCs stably expressing MLL1 shRNA formed significantly fewer neurospheres compared to cells infected with NT shRNA (Figure 7C). MLL1-depleted cells rarely formed small collections of cells, which contrasted sharply with the large, tight spheres typical of normal GSCs (Figure 7C). Together these data suggest that MLL1 is an important factor in the biological function of the CSC subpopulation in GBM.
Inhibition of MLL1 Reduces Tumorigenic Capacity
Orthotopic transplantation is the gold standard for determining tumor propagation potential of putative GSCs. To measure the effect of MLL1 inhibition on tumor formation, GSCs stably expressing MLL1 shRNA and GFP driven by the same promoter (as a visual marker for shRNA expression) were intracranially implanted into immunocompromised hosts. Upon the development of neurological deficit, tumor-bearing mice were examined for the presence of GBM. GSCs transduced MLL1 shRNA formed tumors at a significantly greater latency (Figure 8A). Furthermore, tumors that arose from the shRNA cohort had very few cells expressing the shRNA construct as assessed by GFP marker expression (Figure 8B). These data suggest MLL1 plays an important role in GSC-driven tumor propagation by modulating the growth characteristics of GSCs.
Discussion
Cancer cell heterogeneity is increasingly appreciated as an important component of tumor propagation and recurrence following therapy. Previously CSCs were thought to undergo unidirectional lineage committment and irreversible differentiation. However, aberrant differentiation is a hallmark of cancer, suggesting that a rigid cellular heirarchy is likely not present. Several publications have demonstrated the ability of the nonstem tumor bulk to become more tumorigenic and exhibit functional characteristics of CSCs in the presence of microenvironmental stimuli. For example, publications from our lab and others have demonstrated that culture under low oxygen conditions promotes the ability of nonstem tumor cells to form tumors and upregulates genes typically associated with CSCs, such as Nanog and c-Myc [15–17]. Whether these biological phenomena are products of selection or true reprogramming similar to induced pluripotency remains unclear and warrants further investigation. As bevacizumab and other targeted therapies may function as anti-cancer agents through disruption of the tumor microenvironment, increasing our understanding of the microenvironmental factors regulating the CSC phenotype will be vital for defining therapeutic interventions to target this highly tumorigenic subpopulation.
While recent experimental evidence suggests plasticity in the CSC phenotype, the mechanisms through which associated molecular and biologic changes could arise in the absence of novel genetic mutations remain unknown. In the iPS field where phenotypic plasticity has been well characterized, epigenetic regulation is recognized as a gatekeeper for downstream global genomic changes [23]. In particular, methylation status of H3K4 and H3K27 are well known markers for the transcriptional state of the cell. H3K4m3 proximal to the gene promoter, for example, associates with actively transcribed genes [36]. These histone modifications are regulated primarily by histone modifying enzymes, of which there are many families that are evolutionarily well-conserved. Extrinsic and intrinsic communication between histone modifiers and the cell environment is not well understood. Through the field of induced pluripotency, hypoxia is being appreciated as a possible regulator of histone modifier activity [20]. However, the contribution of specific epigenetic modifying proteins to the CSC phenotype has not been well studied. Relatively few publications have addressed the epigenomic phenotype of the heterogeneous tumor subpopulations, although it is now becoming a larger focus of research.
In this study we sought to elucidate the relationship between hypoxia and MLL1, a histone methyltransferase that has been previously associated with tumorigenicity in leukemia. We first demonstrated that restricted oxygen can modulate the expression of MLL1 in CSC and nonstem tumor populations. This is a particularly novel finding as HMTs were not typically thought to be hypoxia-responsive. Notably, this increase in MLL1 transcript levels requires functional HIF1α and HIF2α, as shRNA and pharmacologic HIF inhibition abrogated the MLL1 hypoxic response. Interestingly, the HIF regulation of MLL1 does not appear to be through direct binding of the HIF2α protein. ChIP of HIF2α did not display significant binding to the MLL1 promoter and we also observed a lack of any concensus HIF binding sequences in the MLL1 promoter. Previous publications have shown that hypoxia regulates the demethylating families of enzymes (specifically Jumonji proteins; [40]) but this effect was thought to be restricted to epigenetic proteins that suppress gene expression. Due to the complexity of the hypoxic response in CSCs, we evaluated the importance of MLL1 within the HIF transcriptional pathway. Surprisingly, depletion of MLL1 preferentially diminished HIF2A. To further elucidate this mechanism, we measured changes in the relative abundance of H3K4m3 and H3K27m3 on the HIF2A promoter. Inhibition of MLL led to a decrease in H3K4m3 and an increase in H3K27m3, which suggests that MLL1 reduces HIF2A transcription via chromatin modification. However, it is important to note that there may be still undiscovered regulatory mechanisms of HIF2α and further studies are needed. Our novel data suggest that loss of MLL1 reduces HIF2α levels and downstream hypoxic responses in glioma cells. We confirmed loss of HIF response by evaluating HRE transcriptional activity as well as downstream function of well-characterized HIF targets such as VEGF. Indeed, cells depleted of MLL1 demonstrated significant reduction in VEGF production, even when stimulated by hypoxia. Although it is not yet clear what MLL1 dependent effects are mediated through HIF2α, these data suggest that critical aspects of the CSC phenotype, high rates of proliferation and self-renewal, depend on MLL1. This extends in vivo where inhibition of MLL1 caused a marked decrease in tumor propagation.
Together our data provide the first evidence that epigenetic modifier, MLL1, is a hypoxia responsive gene. We also demonstrate for the first time that MLL1 has a significant role in glioma biology through the regulation of HIF2α and downstream HIF2α targets. Specifically, hypoxia-driven upregulation of the pro-angiogenic factor, VEGF, was significantly inhibited in MLL1-depleted cells. Our data further demonstrates the importance of HMT and MLL1 activity in the ability of GSCs to propagate tumors in vivo. These data suggest that epigenetic modifying proteins play a vital role in promoting tumor growth through the regulation of the hypoxic response in GSCs and that the ability to alter the epigenetic landscape of tumor cells could yield novel therapeutic opportunities.
Supplementary Material
Acknowledgments
We thank Cathy Shemo, Moneen Morgan, and Sage O’Bryant for flow cytometry assistance; Linda Vargo for histology assistance; and the members of the Rich laboratory for technical assistance and critical review of the manuscript. Work in the Rich laboratory is supported by the McDonnell Foundation and NIH grants NS054276, CA129958, CA116659, and CA154130. A.H. is supported by the National Brain Tumor Society and the NIH grant CA151522. J.D.L. is supported by an American Brain Tumor Association Basic Research Fellowship (sponsored by the Joelle Syverson Fund) and a National Service Research Award (NCI F32 CA142159). The Duke University Brain Tumor Tissue Bank is supported by the Duke University Brain Cancer SPORE. Studies were also supported by the Cleveland Clinic Foundation Tissue Procurement Service, and we thank S. Staugatis, R. Weil, and M. McGraw for their assistance.
Abbreviations
- CSC
cancer stem cell
- DFX
deferoxamine mesylate
- GSC
glioma stem cell
- H3K4
histone 3 lysine 4
- H3K27
histone 3 lysine 27
- HIF
hypoxia inducible factor
- HMT
histone methyltransferase
- HRE
hypoxia response elements
- iPSC
induced pluripotent stem cell
- MLL1
Mixed Lineage Leukemia 1
- PGK1
phosphoglycerate kinase 1
- VEGF
vascular endothelial growth factor
- bFGF
basic fibroblast growth factor
- EGF
epidermal growth factor
- DMEM
Dulbecco’s minimal essential media
- NT
non-targeting
- GFP
green fluorescent protein
Footnotes
Conflicts of Interest
The authors declare no conflicts of interest.
LITERATURE CITED
- 1.Stupp R, Hegi ME, Mason WP, van den Bent MJ, Taphoorn MJ, Janzer RC, Ludwin SK, Allgeier A, Fisher B, Belanger K, Hau P, Brandes AA, Gijtenbeek J, Marosi C, Vecht CJ, Mokhtari K, Wesseling P, Villa S, Eisenhauer E, Gorlia T, Weller M, Lacombe D, Cairncross JG, Mirimanoff RO. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol. 2009;10:459–66. doi: 10.1016/S1470-2045(09)70025-7. [DOI] [PubMed] [Google Scholar]
- 2.Hesselager G, Holland EC. Using mice to decipher the molecular genetics of brain tumors. Neurosurgery. 2003;53:685–94. doi: 10.1227/01.neu.0000081304.57547.b5. discussion 695. [DOI] [PubMed] [Google Scholar]
- 3.Brennan C, Momota H, Hambardzumyan D, Ozawa T, Tandon A, Pedraza A, Holland E. Glioblastoma subclasses can be defined by activity among signal transduction pathways and associated genomic alterations. PLoS One. 2009;4:e7752. doi: 10.1371/journal.pone.0007752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Network CGAR. Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature. 2008;455:1061–8. doi: 10.1038/nature07385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Phillips HS, Kharbanda S, Chen R, Forrest WF, Soriano RH, Wu TD, Misra A, Nigro JM, Colman H, Soroceanu L, Williams PM, Modrusan Z, Feuerstein BG, Aldape K. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell. 2006;9:157–73. doi: 10.1016/j.ccr.2006.02.019. [DOI] [PubMed] [Google Scholar]
- 6.Vescovi AL, Galli R, Reynolds BA. Brain tumour stem cells. Nat Rev Cancer. 2006;6:425–36. doi: 10.1038/nrc1889. [DOI] [PubMed] [Google Scholar]
- 7.Bao S, Wu Q, McLendon RE, Hao Y, Shi Q, Hjelmeland AB, Dewhirst MW, Bigner DD, Rich JN. Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature. 2006;444:756–60. doi: 10.1038/nature05236. [DOI] [PubMed] [Google Scholar]
- 8.Beier D, Hau P, Proescholdt M, Lohmeier A, Wischhusen J, Oefner PJ, Aigner L, Brawanski A, Bogdahn U, Beier CP. CD133(+) and CD133(−) glioblastoma-derived cancer stem cells show differential growth characteristics and molecular profiles. Cancer Res. 2007;67:4010–5. doi: 10.1158/0008-5472.CAN-06-4180. [DOI] [PubMed] [Google Scholar]
- 9.Lathia JD, Gallagher J, Heddleston JM, Wang J, Eyler CE, Macswords J, Wu Q, Vasanji A, McLendon RE, Hjelmeland AB, Rich JN. Integrin alpha 6 regulates glioblastoma stem cells. Cell Stem Cell. 2010;6:421–32. doi: 10.1016/j.stem.2010.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Li Z, Bao S, Wu Q, Wang H, Eyler C, Sathornsumetee S, Shi Q, Cao Y, Lathia J, McLendon RE, Hjelmeland AB, Rich JN. Hypoxia-inducible factors regulate tumorigenic capacity of glioma stem cells. Cancer Cell. 2009;15:501–13. doi: 10.1016/j.ccr.2009.03.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Liu G, Yuan X, Zeng Z, Tunici P, Ng H, Abdulkadir IR, Lu L, Irvin D, Black KL, Yu JS. Analysis of gene expression and chemoresistance of CD133+ cancer stem cells in glioblastoma. Mol Cancer. 2006;5:67. doi: 10.1186/1476-4598-5-67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Diehn M, Cho RW, Lobo NA, Kalisky T, Dorie MJ, Kulp AN, Qian D, Lam JS, Ailles LE, Wong M, Joshua B, Kaplan MJ, Wapnir I, Dirbas FM, Somlo G, Garberoglio C, Paz B, Shen J, Lau SK, Quake SR, Brown JM, Weissman IL, Clarke MF. Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature. 2009;458:780–3. doi: 10.1038/nature07733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Eramo A, Ricci-Vitiani L, Zeuner A, Pallini R, Lotti F, Sette G, Pilozzi E, Larocca LM, Peschle C, De Maria R. Chemotherapy resistance of glioblastoma stem cells. Cell Death Differ. 2006;13:1238–41. doi: 10.1038/sj.cdd.4401872. [DOI] [PubMed] [Google Scholar]
- 14.Calabrese C, Poppleton H, Kocak M, Hogg TL, Fuller C, Hamner B, Oh EY, Gaber MW, Finklestein D, Allen M, Frank A, Bayazitov IT, Zakharenko SS, Gajjar A, Davidoff A, Gilbertson RJ. A perivascular niche for brain tumor stem cells. Cancer Cell. 2007;11:69–82. doi: 10.1016/j.ccr.2006.11.020. [DOI] [PubMed] [Google Scholar]
- 15.Heddleston JM, Li Z, McLendon RE, Hjelmeland AB, Rich JN. The hypoxic microenvironment maintains glioblastoma stem cells and promotes reprogramming towards a cancer stem cell phenotype. Cell Cycle. 2009:8. doi: 10.4161/cc.8.20.9701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Seidel S, Garvalov BK, Wirta V, von Stechow L, Schanzer A, Meletis K, Wolter M, Sommerlad D, Henze AT, Nister M, Reifenberger G, Lundeberg J, Frisen J, Acker T. A hypoxic niche regulates glioblastoma stem cells through hypoxia inducible factor 2 alpha. Brain : a journal of neurology. 2010;133:983–95. doi: 10.1093/brain/awq042. [DOI] [PubMed] [Google Scholar]
- 17.Soeda A, Park M, Lee D, Mintz A, Androutsellis-Theotokis A, McKay RD, Engh J, Iwama T, Kunisada T, Kassam AB, Pollack IF, Park DM. Hypoxia promotes expansion of the CD133-positive glioma stem cells through activation of HIF-1alpha. Oncogene. 2009;28:3949–59. doi: 10.1038/onc.2009.252. [DOI] [PubMed] [Google Scholar]
- 18.Hjelmeland AB, Wu Q, Heddleston JM, Choudhary GS, Macswords J, Lathia JD, McLendon R, Lindner D, Sloan A, Rich JN. Acidic stress promotes a glioma stem cell phenotype. Cell Death Differ. 2011;18:829–40. doi: 10.1038/cdd.2010.150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Takahashi K, Tanabe K, Ohnuki M, Narita M, Ichisaka T, Tomoda K, Yamanaka S. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007;131:861–72. doi: 10.1016/j.cell.2007.11.019. [DOI] [PubMed] [Google Scholar]
- 20.Yoshida Y, Takahashi K, Okita K, Ichisaka T, Yamanaka S. Hypoxia enhances the generation of induced pluripotent stem cells. Cell Stem Cell. 2009;5:237–41. doi: 10.1016/j.stem.2009.08.001. [DOI] [PubMed] [Google Scholar]
- 21.Gangemi RM, Griffero F, Marubbi D, Perera M, Capra MC, Malatesta P, Ravetti GL, Zona GL, Daga A, Corte G. SOX2 silencing in glioblastoma tumor-initiating cells causes stop of proliferation and loss of tumorigenicity. Stem Cells. 2009;27:40–8. doi: 10.1634/stemcells.2008-0493. [DOI] [PubMed] [Google Scholar]
- 22.Wang J, Wang H, Li Z, Wu Q, Lathia JD, McLendon RE, Hjelmeland AB, Rich JN. c-Myc is required for maintenance of glioma cancer stem cells. PLoS One. 2008;3:e3769. doi: 10.1371/journal.pone.0003769. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Guenther MG, Frampton GM, Soldner F, Hockemeyer D, Mitalipova M, Jaenisch R, Young RA. Chromatin structure and gene expression programs of human embryonic and induced pluripotent stem cells. Cell Stem Cell. 2010;7:249–57. doi: 10.1016/j.stem.2010.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Abdouh M, Facchino S, Chatoo W, Balasingam V, Ferreira J, Bernier G. BMI1 sustains human glioblastoma multiforme stem cell renewal. J Neurosci. 2009;29:8884–96. doi: 10.1523/JNEUROSCI.0968-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bruggeman SW, Hulsman D, Tanger E, Buckle T, Blom M, Zevenhoven J, van Tellingen O, van Lohuizen M. Bmi1 controls tumor development in an Ink4a/Arf-independent manner in a mouse model for glioma. Cancer Cell. 2007;12:328–41. doi: 10.1016/j.ccr.2007.08.032. [DOI] [PubMed] [Google Scholar]
- 26.Krivtsov AV, Armstrong SA. MLL translocations, histone modifications and leukaemia stem-cell development. Nat Rev Cancer. 2007;7:823–33. doi: 10.1038/nrc2253. [DOI] [PubMed] [Google Scholar]
- 27.Mohan M, Lin C, Guest E, Shilatifard A. Licensed to elongate: a molecular mechanism for MLL-based leukaemogenesis. Nat Rev Cancer. 2010;10:721–8. doi: 10.1038/nrc2915. [DOI] [PubMed] [Google Scholar]
- 28.Somervaille TC, Cleary ML. Identification and characterization of leukemia stem cells in murine MLL-AF9 acute myeloid leukemia. Cancer Cell. 2006;10:257–68. doi: 10.1016/j.ccr.2006.08.020. [DOI] [PubMed] [Google Scholar]
- 29.Somervaille TC, Matheny CJ, Spencer GJ, Iwasaki M, Rinn JL, Witten DM, Chang HY, Shurtleff SA, Downing JR, Cleary ML. Hierarchical maintenance of MLL myeloid leukemia stem cells employs a transcriptional program shared with embryonic rather than adult stem cells. Cell Stem Cell. 2009;4:129–40. doi: 10.1016/j.stem.2008.11.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Dou Y, Milne TA, Ruthenburg AJ, Lee S, Lee JW, Verdine GL, Allis CD, Roeder RG. Regulation of MLL1 H3K4 methyltransferase activity by its core components. Nat Struct Mol Biol. 2006;13:713–9. doi: 10.1038/nsmb1128. [DOI] [PubMed] [Google Scholar]
- 31.Faber J, Krivtsov AV, Stubbs MC, Wright R, Davis TN, van den Heuvel-Eibrink M, Zwaan CM, Kung AL, Armstrong SA. HOXA9 is required for survival in human MLL-rearranged acute leukemias. Blood. 2009;113:2375–85. doi: 10.1182/blood-2007-09-113597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Liu H, Takeda S, Kumar R, Westergard TD, Brown EJ, Pandita TK, Cheng EH, Hsieh JJ. Phosphorylation of MLL by ATR is required for execution of mammalian S-phase checkpoint. Nature. 2010;467:343–6. doi: 10.1038/nature09350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Huntsman DG, Chin SF, Muleris M, Batley SJ, Collins VP, Wiedemann LM, Aparicio S, Caldas C. MLL2, the second human homolog of the Drosophila trithorax gene, maps to 19q13. 1 and is amplified in solid tumor cell lines. Oncogene. 1999;18:7975–84. doi: 10.1038/sj.onc.1203291. [DOI] [PubMed] [Google Scholar]
- 34.Parsons DW, Li M, Zhang X, Jones S, Leary RJ, Lin JC, Boca SM, Carter H, Samayoa J, Bettegowda C, Gallia GL, Jallo GI, Binder ZA, Nikolsky Y, Hartigan J, Smith DR, Gerhard DS, Fults DW, VandenBerg S, Berger MS, Marie SK, Shinjo SM, Clara C, Phillips PC, Minturn JE, Biegel JA, Judkins AR, Resnick AC, Storm PB, Curran T, He Y, Rasheed BA, Friedman HS, Keir ST, McLendon R, Northcott PA, Taylor MD, Burger PC, Riggins GJ, Karchin R, Parmigiani G, Bigner DD, Yan H, Papadopoulos N, Vogelstein B, Kinzler KW, Velculescu VE. The genetic landscape of the childhood cancer medulloblastoma. Science. 2011;331:435–9. doi: 10.1126/science.1198056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lim DA, Huang YC, Swigut T, Mirick AL, Garcia-Verdugo JM, Wysocka J, Ernst P, Alvarez-Buylla A. Chromatin remodelling factor Mll1 is essential for neurogenesis from postnatal neural stem cells. Nature. 2009;458:529–33. doi: 10.1038/nature07726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wang P, Lin C, Smith ER, Guo H, Sanderson BW, Wu M, Gogol M, Alexander T, Seidel C, Wiedemann LM, Ge K, Krumlauf R, Shilatifard A. Global analysis of H3K4 methylation defines MLL family member targets and points to a role for MLL1-mediated H3K4 methylation in the regulation of transcriptional initiation by RNA polymerase II. Mol Cell Biol. 2009;29:6074–85. doi: 10.1128/MCB.00924-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Sierra J, Yoshida T, Joazeiro CA, Jones KA. The APC tumor suppressor counteracts beta-catenin activation and H3K4 methylation at Wnt target genes. Genes Dev. 2006;20:586–600. doi: 10.1101/gad.1385806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zimmer M, Ebert BL, Neil C, Brenner K, Papaioannou I, Melas A, Tolliday N, Lamb J, Pantopoulos K, Golub T, Iliopoulos O. Small-molecule inhibitors of HIF-2a translation link its 5′UTR iron-responsive element to oxygen sensing. Molecular cell. 2008;32:838–48. doi: 10.1016/j.molcel.2008.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Bao S, Wu Q, Sathornsumetee S, Hao Y, Li Z, Hjelmeland AB, Shi Q, McLendon RE, Bigner DD, Rich JN. Stem cell-like glioma cells promote tumor angiogenesis through vascular endothelial growth factor. Cancer Res. 2006;66:7843–8. doi: 10.1158/0008-5472.CAN-06-1010. [DOI] [PubMed] [Google Scholar]
- 40.Uemura M, Yamamoto H, Takemasa I, Mimori K, Hemmi H, Mizushima T, Ikeda M, Sekimoto M, Matsuura N, Doki Y, Mori M. Jumonji domain containing 1A is a novel prognostic marker for colorectal cancer: in vivo identification from hypoxic tumor cells. Clin Cancer Res. 2010;16:4636–46. doi: 10.1158/1078-0432.CCR-10-0407. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.