miR-17 deregulates a core RUNX1-miRNA mechanism of CBF acute myeloid leukemia
- John Adams Fischer†1,
- Stefano Rossetti†1,
- Arani Datta1,
- Kevin Hasegawa Eng2,
- Alessandro Beghini3 and
- Nicoletta Sacchi1Email author
© Fischer et al.; licensee BioMed Central. 2015
Received: 30 September 2014
Accepted: 23 December 2014
Published: 23 January 2015
Core Binding Factor acute myeloid leukemia (CBF-AML) with t(8;21) RUNX1-MTG8 or inv(16) CBFB-MYH11 fusion proteins often show upregulation of wild type or mutated KIT receptor. However, also non-CBF-AML frequently displays upregulated KIT expression. In the first part of this study we show that KIT expression can be also upregulated by miR-17, a regulator of RUNX1, the gene encoding a CBF subunit. Interestingly, both CBF leukemia fusion proteins and miR-17, which targets RUNX1-3′UTR, negatively affect a common core RUNX1-miRNA mechanism that forces myeloid cells into an undifferentiated, KIT-induced, proliferating state. In the second part of this study we took advantage of the conservation of the core RUNX1-miRNA mechanism in mouse and human, to mechanistically demonstrate in a mouse myeloid cell model that increased KIT-induced proliferation is per se a mechanism sufficient to delay myeloid differentiation.
Human (U937) or mouse (32D) myeloid clonal lines were used, respectively, to test: 1) the effect of RUNX1-MTG8 and CBFB-MYH11 fusion proteins, or upregulation of miR-17, on KIT-induced proliferation and myeloid differentiation, and 2) the effect of upregulation of KIT-induced proliferation per se on myeloid cell differentiation.
In the first part of this study we found that stable miR-17 upregulation affects, like the CBF-AML fusion proteins (RUNX1-MTG8 or CBFB-MYH11), a core RUNX1-miRNA mechanism leading to KIT-induced proliferation of differentiation-arrested U937 myeloid cells. In the second part of the study we harnessed the conservation of this core mechanism in human and mouse to demonstrate that the extent of KIT upregulation in 32D mouse myeloid cells with wild type RUNX1 can per se delay G-CSF-induced differentiation. The integrated information gathered from the two myeloid cell models shows that RUNX1 regulates myeloid differentiation not only by direct transcriptional regulation of coding and non-coding myeloid differentiation functions (e.g. miR-223), but also by modulating KIT-induced proliferation via non-coding miRNAs (e.g. miR-221).
The novelty of this study is dual. On the one hand, miRNAs (e.g. miR-17) can mimic the effects of CBF-AML fusion proteins by affecting a core RUNX1-miRNA mechanism of KIT-induced proliferation of undifferentiated myeloid cells. On the other hand, the extent of KIT-induced proliferation itself can modulate myeloid differentiation of cells with wild type RUNX1 function.
The core binding factor (CBF), a master hematopoietic transcription factor that controls the transcription of genes involved in both embryonic and post-embryonic hematopoietic development, is composed of two subunits: the CBFA2 subunit, encoded by the RUNX1 (AML1) gene on chromosome 21, and the CBFB subunit, encoded by the CBFB gene on chromosome 16. While RUNX1 binds DNA at specific consensus sequences in the regulatory regions of target genes, CBFB strengthens RUNX1 DNA-binding [1-4]. Both RUNX1 and CBFB undergo chromosomal rearrangements in acute myeloid leukemia (AML). The two most common AML chromosome rearrangements, the t(8;21) (q22; q22) and the inv(16) (p13; q22), generate the RUNX1-MTG8 (AML1-ETO) and CBFB-MYH11 fusion proteins, respectively. According to the French-American-British (FAB) classification, t(8;21)-positive leukemia is mostly M2, while inv(16)-positive leukemia is mostly M4Eo [3,5-7].
RUNX1-MTG8 not only affects RUNX1 allelic dosage, but also exerts a dominant negative action on RUNX1 target genes [1,5]. CBFB-MYH11, by binding RUNX1, also exerts a dominant negative action on RUNX1 target genes and, by sequestering RUNX1 into the cytoplasm, depletes RUNX1 in the nucleus [5,8,9]. Thus, even if in a different manner, both CBF-AML fusion proteins affect RUNX1 dosage as well as RUNX1 transcriptional regulatory function of both coding and non-coding RUNX1-target genes implicated in hematopoiesis [5,8,10,11].
The first described non-coding RUNX1-target was miR-223, which is critical for the establishment of both granulocyte and monocyte lineages [12-15]. RUNX1-MTG8 binding to RUNX1 consensus sequences in the miR-223 promoter region induces miR-223 transcriptional repression and block of myeloid differentiation in t(8;21) leukemia cells . Subsequently, we found that the miR-222/221 gene cluster, involved in the regulation of the KIT receptor by targeting KIT-3'UTR , is also a direct RUNX1-target, whose transcription is repressed by the dominant negative t(8;21) RUNX1-MTG8 fusion protein .
We also reported that both t(8;21) and inv(16) CBF-AML display lower levels of miR-221 and miR-222 relative to non-CBF-AML, in association with increased expression of the KIT receptor (CD117 antigen) . In this study we mechanistically demonstrate that, like RUNX1-MTG8, also CBFB-MYH11 interferes with RUNX1-CBFB. Thus, both CBF-AML fusion proteins negatively affect both the RUNX1-miR-221-KIT axis and RUNX1-miR-223 transcription, leading to increased KIT-induced proliferation of undifferentiated myeloid cells.
Interestingly, a significant number of non-CBF-AMLs also display elevated levels of KIT relative to non-leukemic cells [18-21]. Intrigued by this observation, we tested whether other factors, capable of interfering with RUNX1-CBFB regulatory function, can also negatively affect the RUNX1-miR-221-KIT axis and miR-223 transcription. In this study we focused on miR-17, a miRNA that, by targeting RUNX1-3′UTR, plays a key role in the control of RUNX1 expression and myeloid differentiation . We found that the effects of ectopic miR-17 expression mimic the biological effects induced by the RUNX1-MTG8 and CBFB-MYH11 fusion proteins by affecting the same core mechanism: the RUNX1-miR-221-KIT axis and miR-223.
In the second part of this study we took advantage of the core mechanism conservation between human and mouse so that we could use the 32D mouse myeloid cell model to monitor cytokine-induced myeloid differentiation over a period of 12 days. In the 32D model, with a functional wild type RUNX1, we could demonstrate that in the absence of any factor that negatively interferes with RUNX1, the extent of KIT-induced proliferation per se determines a delay of cytokine-induced myeloid differentiation. Thus, KIT-induced proliferation is a mechanism that normally determines the timing of RUNX1-mediated myeloid differentiation processes.
Both t(8;21) and inv(16) leukemia fusion proteins affect the same RUNX1-miRNA-KIT axis regulating KIT proliferation activity
Transient transfection of human U937 myeloid cells with a luciferase reporter driven by the miR-221 promoter shows that RUNX1, alone or in combination with CBFB, induces miR-221 transcription, while both RUNX1-MTG8 and CBFB-MYH11 repress miR-221 promoter (Figure 1B). Stable ectopic expression of either RUNX1-MTG8 or CBFB-MYH11 in the U937 cell context increases the proportion of KIT (CD117)-positive cells (Figure 1C) and promotes cell proliferation (Figure 1D), relative to control U937EV cells carrying the cognate empty vector.
Thus, the two CBF-AML fusion proteins, by interfering with wild type RUNX1 transcriptional function, induce miR-221 downregulation concomitant with KIT-induced proliferation.
Stable expression of miR-17 deregulates the same core RUNX1-miR-221-KIT axis affected by CBF-AML fusion proteins
KIT upregulation was reported in 60-80% of all AML, including CBF-AML and non-CBF-AML [18-21]. Because CBF-AML represents only 15-20% of AML [3,23], we searched for other factors that could explain KIT upregulation in non-CBF-AML. According to in silico analysis (TargetScan), the RUNX1-3′UTR contains 22 conserved miRNA binding sites, which are predicted to be targeted by 60 different miRNAs (Additional file 1: Figure S1A, based on Additional file 2: Table S1). Among these, we focused on miR-17-5p (hereafter simply referred to as miR-17), a miRNA that targets RUNX1-3′UTR, plays a key role in RUNX1-mediated control of myeloid differentiation , and is often upregulated in leukemia .
By examining published miRNA expression datasets from AML patients [24,25], we observed that miR-17 is upregulated in approximately 60% of non-CBF-AML cases, while it is mostly downregulated in CBF-AML cases (Additional file 1: Figure S1B, top). Interestingly, miR-17 upregulation is mostly associated with the FAB M5 subtype (Additional file 1: Figure S1B, bottom), which is frequently characterized by KIT upregulation . Consistent with these observations, we found evidence of concomitant KIT (CD117) and miR-17 upregulation in three out of 10 non-CBF-AML patient samples analyzed in our laboratories (Additional file 1: Figure S1C).
Apparently, in the U937 cell context miR-17 ectopic expression significantly reduced miR-221 level, thus recapitulating the effect of RUNX1-MTG8 and CBFB-MYH11 (Figure 2D, left). This finding is in agreement with miR-221 downregulation not only in CBF-AML, but also in 50-60% of non-CBF-AML (Figure 2D, right, based on our previous report ). Transient transfection of wild type U937 with a synthetic anti-miR-221 targeting endogenous miR-221 induced a significant increase of KIT-positive cells (Figure 2E, left) as well as increased EdU-proliferation (Figure 2E, right). Stable ectopic expression of wild type KIT in the U937 context (U937KIT) at a level comparable (5-10%) to the one detected in U937miR-17, U937RUNX1-MTG8, and U937CBFB-MYH11 clones (Figure 2F, left) was per se sufficient to increase EdU-proliferation (Figure 2F, right).
Altogether, these findings show that ectopic miR-17 expression deregulates the same RUNX1-miR-221-KIT axis, which is also deregulated by CBF-AML fusion proteins (Figure 2G). Of note, both miR-17 and CBF-AML fusion proteins can affect other RUNX1-regulated miRNAs targeting KIT-3′UTR (see TargetScan analysis in Additional file 3: Table S2). For instance, as shown in Additional file 1: Figure S2, left, miR-193a is significantly downregulated in U937miR-17, U937RUNX1-MTG8, and U937CBFB-MYH11 clones.
Stable expression of miR-17 downregulates RUNX1-regulated miRNAs of myeloid differentiation
Evidence that the RUNX1-miRNA core mechanism is conserved between human and mouse
These findings let us hypothesize that the RUNX1-miRNA-KIT mechanism of proliferation can have an influence on the myeloid differentiation process. Thus, in the second part of this study, we took advantage of the 32D cell model to test whether KIT-mediated proliferation can per se affect myeloid differentiation.
The extent of KIT expression per se delays myeloid differentiation in cells with functional RUNX1
32DEV, 32DKIT-Low, and 32DKIT-High cells treated with increasing concentrations of G-CSF (0.4, 2, and 10 ng/ml) were analyzed for both cell proliferation and induction of CD11b myeloid antigen over a 12 day period. Control 32DEV cells proliferated exponentially up to day 7 before plateauing and dying (Figure 6B, gray line). Concomitantly, CD11b expression increased in a time-dependent and G-CSF dose-dependent manner. By day 9, almost all 32DEV cells reached full differentiation (Figure 6C and 6D, gray bars). Upon treatment with G-CSF, both 32DKIT-Low, and 32DKIT-High cells displayed significantly increased proliferation relative to control 32DEV cells, particularly at the lower G-CSF concentrations (Figure 6B and Additional file 4: Table S3).
When we analyzed CD11b expression at key time points of G-CSF-induced differentiation (5, 7, and 9 days), the most significant differences were detected between 32DKIT-High and 32DEV clones. First, by taking into consideration individual G-CSF concentrations (Figure 6C and Additional file 4: Table S3), it was apparent that 32DKIT-High cells failed to differentiate at the lowest (0.4 ng/ml) G-CSF concentration across all time points (p = 6.7−7), while they were able to differentiate to a level similar to the 32DEV clone by day 9 at the highest (10 ng/ml) G-CSF concentration (p = 0.91). Second, by taking into consideration individual time points (Figure 6D and Additional file 4: Table S3), it was apparent that the 32DKIT-High cells had significantly lower CD11b on day 5 (p = 6−5) and day 7 (p = 0.02) across all G-CSF concentrations, but they reached a level of differentiation similar to the 32DEV clone (p = 0.12) on day 9, at the higher G-CSF concentrations. Finally, when we took into consideration the level of exogenous KIT expression, 32DKIT-Low cells displayed a G-CSF differentiation response which was intermediate between 32DEV and 32DKIT-High cells (Figure 6C and 6D).
These findings indicate that the extent of KIT-induced proliferation per se plays a critical role in delaying G-CSF-induced myeloid differentiation.
Inhibition of KIT activity counteracts the delay effect on myeloid differentiation due to KIT overexpression
In the first part of this study, we show that ectopic expression of miR-17, which controls RUNX1 level by targeting RUNX1-3′UTR , in human U937 cells leads to deregulation of a core RUNX1-regulated miRNA mechanism that is similarly affected by the t(8;21) RUNX1-MTG8 and inv(16) CBFB-MYH11 fusion proteins. Apparently, KIT receptor upregulation in CBF-AML and non-CBF-AML can be induced not only by genetic factors (CBF-AML fusion proteins), but also epigenetic factors (miRNAs targeting RUNX1-3′UTR) that interfere with wild type RUNX1 function.
Notably, acute myeloid leukemia with t(8;21), inv(16), or upregulation of miR-17 fall into FAB subtypes with distinct phenotypic features. It is plausible that these phenotypic differences are due to distinct mechanisms of the different factors that negatively affect RUNX1. For instance, RUNX1-MTG8 and CBFB-MYH11, which are mostly associated with the M2 and M4Eo FAB subtypes, respectively, exert dominant negative effects over wild type RUNX1 through different mechanisms [1,5,8,9]. Moreover, RUNX1-MTG8 (but not CBFB-MYH11) can bind other MTG proteins . In the case of miR-17 overexpression, which is mainly associated with the M5 FAB subtype, the phenotype could be due to deregulation of other miR-17 targets, besides RUNX1.
In addition to CBF-AML fusion proteins and miR-17, other factors could deregulate RUNX1 function or level. For instance, in silico analysis of published miRNA expression datasets allowed us to highlight several miRNAs that could potentially target RUNX1-3′UTR and that, like miR-17, are upregulated in non-CBF-AML. Further, deregulation of canonical RUNX1 transcriptional regulators (e.g. GATA-2 and regulatory Ets proteins) and even long non-coding RNAs affecting RUNX1 chromatin state, such as the recently discovered RUNXOR , may ultimately affect the core RUNX1-miRNA mechanism that regulates myeloid cell proliferation and differentiation.
Proliferation and differentiation are intimately linked processes, and deregulation of one can impact the other [30,31]. In the second part of this study, by taking advantage of the conservation of the core RUNX1-miRNA-KIT axis between human and mouse myeloid cells, we found evidence that KIT-induced proliferation can per se influence G-CSF-induced granulocytic differentiation of 32D myeloid cells. Specifically, increasing KIT level negatively affects 32D myeloid differentiation both in a time- and G-CSF dose-dependent manner. Therefore, the extent of KIT pro-proliferative signaling can oppose differentiation signalings, such as the G-CSF signaling. Indeed, modulation of KIT-mediated proliferation with imatinib, an inhibitor of KIT receptor activity, favors G-CSF-induced 32D differentiation. In contrast, stable expression of RUNX1-MTG8, which irreversibly affects the RUNX1-miRNA-KIT mechanism, promotes the proliferation of myeloid cells that are unresponsive to G-CSF. In the latter case, the delay of GCSF-induced differentiation due to KIT proliferation is reinforced by the repression of RUNX1-regulated coding and non-coding (e.g. miR-223) differentiation functions (Figure 8).
In conclusion, on the one hand, miRNA-mediated deregulation of RUNX1 function mimics the effects of CBF-AML fusion proteins by affecting a core RUNX1-miRNA mechanism of KIT-induced proliferation of undifferentiated myeloid cells. On the other hand, the extent of KIT-induced proliferation itself can modulate the process of differentiation of myeloid cells with normal RUNX1 function.
AML patient samples
Patient samples were obtained in compliance with the Helsinki declaration as per Institutional Review Board guidelines of the Niguarda Hospital, Milan, Italy. Leukemic mononuclear cells (MNCs), isolated from the bone marrow of 10 patients with de novo non-CBF-AML according to the French-British-American (FAB) classification, did not show cytogenetic evidence of CBF rearrangements. Samples were analyzed for KIT (CD117) expression by flow cytometry and for miR-17 expression by qRT-PCR. DNA sequencing of RUNX1 exons excluded the presence of mutations in those samples showing upregulation of both KIT and miR-17.
In silico analyses
The 3′UTRs of human RUNX1 mRNA (NM_001001890) and human KIT mRNA (NM_001093772) were analyzed by using TargetScan Version 6.2: June 2012 (http://www.targetscan.org). The predicted miRNA-targeting sites conserved among vertebrates were chosen to generate a list of putative miRNAs targeting the RUNX1-3′UTR (Additional file 2: Table S1) or KIT-3′UTR (Additional file 3: Table S2). The expression of miR-221 in AML patient samples (12 non-CBF-AML and 27 CBF-AML) was evaluated from our previous miRNA expression data . The expression of miR-17, miR-18a, miR-20a, miR-93, and miR-181 in AML patient samples was evaluated from published gene expression datasets [24,25]. Specifically, 52 non-CBF-AML and 31 CBF-AML were analyzed for miR-17, 31 non-CBF-AML and 18 CBF-AML were analyzed for miR-18a, 53 non-CBF-AML and 34 CBF-AML were analyzed for miR-20a, 34 non-CBF-AML and 18 CBF-AML were analyzed for miR-93 and miR-181. The miRNAs were classified as upregulated, downregulated, or unchanged relative to the centered mean and plotted by AML subtype.
Human RUNX1-MTG8 cDNA was PCR-amplified from pcDNA3.1-RUNX1-MTG8 , with primers introducing Xho I and Not I restriction sites (forward: 5′ – AGA TCT CGA GAT GCG TAT CCC CGT AGA TGC – 3′; reverse: 5′ – GAC AAG CGG CCG CCT AGC GAG GGG TTG TCT CTA – 3′), and inserted into compatible restriction sites of the pLNCX2 plasmid. Human CBFB-MYH11 cDNA was subcloned from the pGEM-CMVa-CBFB-MYH11 plasmid (kindly provided by Dr. Paul Liu, NIH, Bethesda, MD) by restriction digestion using Hind III and Not I restriction enzymes (New England BioLabs, Ipswich, MA) and inserted into compatible restriction sites of pLNCX2. The mouse KIT cDNA was subcloned from pCMV-Sport6-c-Kit (GE Dharmacon, Lafayette, CO) into compatible restriction sites of pLNCX2. The human KIT cDNA was PCR-amplified from pDNR-KIT (Dana-Farber/Harvard Cancer Center DNA Resource Core) with primers introducing Xho I and Not I restriction sites (forward: 5′ - AGA TCT CGA GAC CAT GAG AGG CGC TCG CGG CGC CT – 3′; reverse: 5′ – ACC TGC GGC CGC TCA GAC ATC GTC GTG CAC AAG C – 3′) and inserted into compatible restriction sites of pLNCX2. All plasmids were sequenced to confirm the absence of mutations.
Stable cell clones and culture conditions
Human leukemic monocyte lymphoma U937 cells and derived clones were cultured in RPMI 1640 supplemented with 10% heat-inactivated fetal bovine serum (Life Technologies, Carlsbad, CA). Mouse myeloid 32D/WT1 cells, ectopically expressing human granulocyte colony-stimulating factor receptor (G-CSFR) , and derived clones were cultured in RPMI 1640 medium supplemented with 10% heat-inactivated fetal bovine serum (Life Technologies) supplemented with 10 ng/ml of mouse IL-3 (PeproTech, Rocky Hill, NJ). All cultures were maintained at a concentration between 0.2 × 106-1.0 × 106 cells/ml.
U937 and 32D stable clones were obtained by stable transfection with pLNCX2-RUNX1-MTG8, pLNCX2-CBFB-MYH11, or pLNCX2-KIT using Lipofectamine LTX with Plus reagent (Life Technologies), according to the manufacturer’s instructions. In parallel, cells were also transfected with the cognate pLNCX2 empty vector to obtain control clones. After 48 hours of transfection, cells were seeded in limiting dilutions in 96-well plates and selected with 1 mg/ml of G418. Single clones were expanded and screened for the presence of the transfected construct by PCR. Expression and function of RUNX1-MTG8 or CBFB-MYH11 in positive clones was confirmed by RT-PCR with specific primers , and the effect on transcription of known RUNX1-target genes (e.g. MPO, CSF1R). Expression of exogenous KIT was assessed by cytofluorimetric analysis as described below.
To develop U937 clones stably expressing ectopic miR-17 or cognate control clones, cells were transfected with pEZX-MR04 plasmid (GeneCopoeia, Rockville, MD) containing either the miR-17 precursor or a scrambled sequence, respectively. Single clones were selected with 1 μg/ml of puromycin and screened for expression of GFP, which is constitutively expressed from the pEZX-MR04, by cytofluorimetric analysis. GFP-positive clones showing significant downregulation of luciferase-RUNX1-3′UTR were selected for further analysis. Only prototypic clones are shown in the figures of this manuscript.
Flow cytometry analysis
AML patient samples were analyzed for KIT (CD117) expression as previously described . For cytofluorimetric analysis of U937 and 32D clones, 1 × 106 cells were resuspended in blocking buffer (PBS + 0.5% BSA) in a total volume of 100 μl. After adding fluorescently labeled antibodies against human KIT (BV-CD117, BD Biosciences, San Jose, CA), mouse KIT (PE-CD117, Miltenyi Biotec, San Diego, CA), or mouse/human CD11b (FITC-CD11b or PE-CD11b, Miltenyi Biotec), cells were incubated for 20 minutes at 4°C in the dark. Unstained cells were used as a negative control. After incubation, cells were washed, resuspended in 500 μl of blocking buffer and analyzed by flow cytometry on a LSR Fortessa cytometer (BD Biosciences). Data were analyzed using WinList software. Statistical significance was calculated by using the Student’s t-test.
EdU cell proliferation assay
Cell proliferation was assessed by EdU incorporation, using the Click-iT EdU imaging kit (Life Technologies) as per manufacturer’s instructions. Briefly, 0.2 × 106 cells/ml were seeded in fresh growth medium, let grow for 48 h, incubated with 10 μM EdU for 20 minutes, and transferred to glass microscope slides using a cytospin. The slides were fixed and permeabilized with 100% Methanol, incubated for 30 minutes in PBS containing 3% BSA, reacted with the Click-iT reaction cocktail (containing azide-conjugated Alexa Fluor 594) for 30 minutes, counterstained with DAPI, and mounted with Vectashield (Vector Laboratories, Burlingame, CA). Slides were examined by fluorescence microscopy to count the EdU-positive and DAPI-positive nuclei of at least 10 random fields. Proliferation was evaluated by calculating the ratio between EdU-positive and DAPI-positive cells. Statistical significance was calculated by using the Student’s t-test.
Quantitative real-time RT-PCR (qRT-PCR)
Total RNA was isolated from cells with the single-step method  using Trizol (Life Technologies). 50 ng of total RNA was retrotranscribed into cDNA by using the TaqMan® miRNA Reverse Transcription kit and TaqMan® assay RT primers specific for each of the miRNA of interest, according to the manufacturer’s instructions (Life Technologies). A TaqMan® assay RT primer for RNU-44, a human small nucleolar RNA, was used as an internal loading control for human cells, and a TaqMan® assay RT primer for sno-202, a mouse small nucleolar RNA, was used as an internal loading control for mouse cells. The levels of miRNA cDNAs were quantitated by real-time PCR analysis using specific TaqMan® assay real-time primers (Life Technologies) for each miRNA of interest, as well as for the small nucleolar RNA internal loading controls. Real-time PCR was performed on an iCycler (BioRad, Hercules, CA) using the iQ Supermix (BioRad) and quantitated from triplicate readings using the delta-delta Ct method. Statistical significance was calculated by the Student’s t-test.
Luciferase reporter assays
For miR-221-promoter luciferase assay, U937 cells grown in a 24-well plate were transfected by using Lipofectamine LTX (Life Technologies) with 10 ng of pRL-TK (Promega, Madison, WI), 300 ng of (-1600) MIR-222/221-Luc (kindly provided by Carlo Croce, Ohio State University), in combination with 300 ng of either pCMV5-RUNX1B (Addgene, Cambridge, MA), pcDNA3.1-AML1-MTG8-V5 , pGEM-CMV-CBFB, or pGEM-CMV-CBFB-MYH11 (both kindly provided by Paul Liu, NIH, Bethesda, MD). For RUNX1-3′UTR luciferase assay, cells seeded into 24-well plates were co-transfected with 10 ng of the pRL-TK and either 500 ng of pGL4.13-RUNX1-3′UTR plasmid, containing the RUNX1-3′UTR downstream of the firefly luciferase coding sequence (kindly provided by Yoram Groner, Weizmann Institute, Israel), or 500 ng of the control pGL4.13 plasmid. The concentration of transfected DNA was kept constant by adding an appropriate amount of empty pcDNA3.1. After 24 hours, cells were lysed in passive lysis buffer and measured for luciferase activity using the Dual Glow Luciferase Assay System (Promega) and a Veritas Luminometer (Tuner Biosystems, Sunnyvale, CA) as per manufacturer′s instructions. Statistical significance was calculated by using the Student’s t-test.
To induce U937 monocytic differentiation, cells were treated with 0.5 nM PMA (Sigma, St Louis, MO), for 48 hours. Differentiation was assessed by cytofluorimetric analysis of the CD11b myeloid marker. Granulocytic differentiation of 32D cells was induced by replacing IL-3 with human G-CSF (Amgen, Thousand Oaks, CA) at the indicated concentrations. Cells were counted daily using a Beckman Coulter cell counter to obtain a growth curve and diluted daily to 0.2 × 106 cells/ml. Differentiation was either microscopically evaluated on Giemsa-stained cytospin preparations, or assessed by CD11b cytofluorimetric analysis. Treatments with imatinib (Cayman Chemical, Ann Arbor, MI) were performed at 1 μM concentration in the G-CSF containing medium, based on . Differences in proliferation or CD11b levels between clones were analyzed by performing ANOVA statistical analysis. For CD11b, ANOVA analysis was performed between dose and clone conditional on time, and time and clone conditional on dose.
We thank Francesca Corlazzoli for characterization of the 32D clones and Ben Finsterwalder for RUNX1 sequencing of AML patient samples. Yoram Groner (Weizmann Institute, Israel) kindly provided the pGL4.13-RUNX1-3′UTR plasmid, Carlo Croce (Ohio State University) kindly provided the (-1600) MIR-222/221-Luc plasmid, and Paul Liu (NIH, Bethesda, MD) kindly provided the pGEM-CMV-CBFB and pGEM-CMV-CBFB-MYH11 plasmids. Funding for this study was provided by a Roswell Park Alliance Foundation award (NS), a University of Rochester-RPCI pilot grant (NS), a Mark Diamond Research Fund grant (JF), and the NCI P30 CA016056 grant.
- Lam K, Zhang DE. RUNX1 and RUNX1-ETO: roles in hematopoiesis and leukemogenesis. Front Biosci (Landmark Ed). 2012;17:1120–39.View ArticleGoogle Scholar
- Link KA, Chou FS, Mulloy JC. Core binding factor at the crossroads: determining the fate of the HSC. J Cell Physiol. 2010;222:50–6.View ArticlePubMed CentralPubMedGoogle Scholar
- Speck NA, Gilliland DG. Core-binding factors in haematopoiesis and leukaemia. Nat Rev Cancer. 2002;2:502–13.View ArticlePubMedGoogle Scholar
- Ichikawa M, Yoshimi A, Nakagawa M, Nishimoto N, Watanabe-Okochi N, Kurokawa M. A role for RUNX1 in hematopoiesis and myeloid leukemia. Int J Hematol. 2013;97:726–34.View ArticlePubMedGoogle Scholar
- Goyama S, Mulloy JC. Molecular pathogenesis of core binding factor leukemia: current knowledge and future prospects. Int J Hematol. 2011;94:126–33.View ArticlePubMedGoogle Scholar
- Hatlen MA, Wang L, Nimer SD. AML1-ETO driven acute leukemia: insights into pathogenesis and potential therapeutic approaches. Front Med. 2012;6:248–62.View ArticlePubMedGoogle Scholar
- Mangan JK, Speck NA. RUNX1 mutations in clonal myeloid disorders: from conventional cytogenetics to next generation sequencing, a story 40 years in the making. Crit Rev Oncog. 2011;16:77–91.View ArticlePubMed CentralPubMedGoogle Scholar
- Mandoli A, Singh AA, Jansen PW, Wierenga AT, Riahi H, Franci G, et al. CBFB-MYH11/RUNX1 together with a compendium of hematopoietic regulators, chromatin modifiers and basal transcription factors occupies self-renewal genes in inv(16) acute myeloid leukemia. Leukemia. 2014;28:770–8.View ArticlePubMedGoogle Scholar
- Shigesada K, van de Sluis B, Liu PP. Mechanism of leukemogenesis by the inv(16) chimeric gene CBFB/PEBP2B-MHY11. Oncogene. 2004;23:4297–307.View ArticlePubMedGoogle Scholar
- Rossetti S, Sacchi N. RUNX1: A MicroRNA Hub in Normal and Malignant Hematopoiesis. Int J Mol Sci. 2013;14:1566–88.View ArticlePubMed CentralPubMedGoogle Scholar
- Gardini A, Cesaroni M, Luzi L, Okumura AJ, Biggs JR, Minardi SP, et al. AML1/ETO oncoprotein is directed to AML1 binding regions and co-localizes with AML1 and HEB on its targets. PLoS Genet. 2008;4:e1000275.View ArticlePubMed CentralPubMedGoogle Scholar
- Fazi F, Racanicchi S, Zardo G, Starnes LM, Mancini M, Travaglini L, et al. Epigenetic silencing of the myelopoiesis regulator microRNA-223 by the AML1/ETO oncoprotein. Cancer Cell. 2007;12:457–66.View ArticlePubMedGoogle Scholar
- Fazi F, Rosa A, Fatica A, Gelmetti V, De Marchis ML, Nervi C, et al. A minicircuitry comprised of microRNA-223 and transcription factors NFI-A and C/EBPalpha regulates human granulopoiesis. Cell. 2005;123:819–31.View ArticlePubMedGoogle Scholar
- Ismail N, Wang Y, Dakhlallah D, Moldovan L, Agarwal K, Batte K, et al. Macrophage microvesicles induce macrophage differentiation and miR-223 transfer. Blood. 2013;121:984–95.View ArticlePubMed CentralPubMedGoogle Scholar
- Rodriguez-Ubreva J, Ciudad L, van Oevelen C, Parra M, Graf T, Ballestar E. C/EBPa-mediated activation of microRNAs 34a and 223 inhibits Lef1 expression to achieve efficient reprogramming into macrophages. Mol Cell Biol. 2014;34:1145–57.View ArticlePubMed CentralPubMedGoogle Scholar
- Felli N, Fontana L, Pelosi E, Botta R, Bonci D, Facchiano F, et al. MicroRNAs 221 and 222 inhibit normal erythropoiesis and erythroleukemic cell growth via kit receptor down-modulation. Proc Natl Acad Sci U S A. 2005;102:18081–6.View ArticlePubMed CentralPubMedGoogle Scholar
- Brioschi M, Fischer J, Cairoli R, Rossetti S, Pezzetti L, Nichelatti M, et al. Down-regulation of microRNAs 222/221 in acute myelogenous leukemia with deranged core-binding factor subunits. Neoplasia. 2010;12:866–76.PubMed CentralPubMedGoogle Scholar
- Cascavilla N, Musto P, D’Arena G, Melillo L, Carella AM, Petrilli MP, et al. CD117 (c-kit) is a restricted antigen of acute myeloid leukemia and characterizes early differentiative levels of M5 FAB subtype. Haematologica. 1998;83:392–7.PubMedGoogle Scholar
- Ikeda H, Kanakura Y, Tamaki T, Kuriu A, Kitayama H, Ishikawa J, et al. Expression and functional role of the proto-oncogene c-kit in acute myeloblastic leukemia cells. Blood. 1991;78:2962–8.PubMedGoogle Scholar
- Schwartz S, Heinecke A, Zimmermann M, Creutzig U, Schoch C, Harbott J, et al. Expression of the C-kit receptor (CD117) is a feature of almost all subtypes of de novo acute myeloblastic leukemia (AML), including cytogenetically good-risk AML, and lacks prognostic significance. Leuk Lymphoma. 1999;34:85–94.PubMedGoogle Scholar
- Sperling C, Schwartz S, Buchner T, Thiel E, Ludwig WD. Expression of the stem cell factor receptor C-KIT (CD117) in acute leukemias. Haematologica. 1997;82:617–21.PubMedGoogle Scholar
- Fontana L, Pelosi E, Greco P, Racanicchi S, Testa U, Liuzzi F, et al. MicroRNAs 17-5p-20a-106a control monocytopoiesis through AML1 targeting and M-CSF receptor upregulation. Nat Cell Biol. 2007;9:775–87.View ArticlePubMedGoogle Scholar
- Chen J, Odenike O, Rowley JD. Leukaemogenesis: more than mutant genes. Nat Rev Cancer. 2010;10:23–36.View ArticlePubMed CentralPubMedGoogle Scholar
- Mi S, Li Z, Chen P, He C, Cao D, Elkahloun A, et al. Aberrant overexpression and function of the miR-17-92 cluster in MLL-rearranged acute leukemia. Proc Natl Acad Sci U S A. 2010;107:3710–5.View ArticlePubMed CentralPubMedGoogle Scholar
- Li Z, Lu J, Sun M, Mi S, Zhang H, Luo RT, et al. Distinct microRNA expression profiles in acute myeloid leukemia with common translocations. Proc Natl Acad Sci U S A. 2008;105:15535–40.View ArticlePubMed CentralPubMedGoogle Scholar
- Feng J, Iwama A, Satake M, Kohu K. MicroRNA-27 enhances differentiation of myeloblasts into granulocytes by post-transcriptionally downregulating Runx1. Br J Haematol. 2009;145:412–23.View ArticlePubMedGoogle Scholar
- Advani AS. Targeting the c-kit receptor in the treatment of acute myelogenous leukemia. Curr Hematol Malig Rep. 2006;1:101–7.View ArticlePubMedGoogle Scholar
- Hoogeveen AT, Rossetti S, Stoyanova V, Schonkeren J, Fenaroli A, Schiaffonati L, et al. The transcriptional corepressor MTG16a contains a novel nucleolar targeting sequence deranged in t (16; 21)-positive myeloid malignancies. Oncogene. 2002;21:6703–12.View ArticlePubMedGoogle Scholar
- Wang H, Li W, Guo R, Sun J, Cui J, Wang G, Hoffman AR, Hu JF. An intragenic long noncoding RNA interacts epigenetically with the RUNX1 promoter and enhancer chromatin DNA in hematopoietic malignancies. Int J Cancer; 2014Google Scholar
- Kueh HY, Champhekar A, Nutt SL, Elowitz MB, Rothenberg EV. Positive feedback between PU.1 and the cell cycle controls myeloid differentiation. Science. 2013;341:670–3.View ArticlePubMed CentralPubMedGoogle Scholar
- Zhu L, Skoultchi AI. Coordinating cell proliferation and differentiation. Curr Opin Genet Dev. 2001;11:91–7.View ArticlePubMedGoogle Scholar
- de Koning JP, Soede-Bobok AA, Schelen AM, Smith L, van Leeuwen D, Santini V, et al. Proliferation signaling and activation of Shc, p21Ras, and Myc via tyrosine 764 of human granulocyte colony-stimulating factor receptor. Blood. 1998;91:1924–33.PubMedGoogle Scholar
- Costello R, Sainty D, Lecine P, Cusenier A, Mozziconacci MJ, Arnoulet C, et al. Detection of CBFbeta/MYH11 fusion transcripts in acute myeloid leukemia: heterogeneity of cytological and molecular characteristics. Leukemia. 1997;11:644–50.View ArticlePubMedGoogle Scholar
- Chomczynski P, Sacchi N. The single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction: twenty-something years on. Nat Protoc. 2006;1:581–5.View ArticlePubMedGoogle Scholar
- Schuster C, Forster K, Dierks H, Elsasser A, Behre G, Simon N, et al. The effects of Bcr-Abl on C/EBP transcription-factor regulation and neutrophilic differentiation are reversed by the Abl kinase inhibitor imatinib mesylate. Blood. 2003;101:655–63.View ArticlePubMedGoogle Scholar
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.