|MicroRNA-16 is down-regulated in mutated FLT3 expressing murine myeloid FDC-P1 cells and interacts with Pim-1.|
|Jump to Full Text|
|PMID: 22970245 Owner: NLM Status: MEDLINE|
|Activating mutations in the receptor tyrosine kinase FLT3 are one of the most frequent somatic mutations in acute myeloid leukemia (AML). Internal tandem duplications of the juxtamembrane region of FLT3 (FLT3/ITD) constitutively activate survival and proliferation pathways, and are associated with a poor prognosis in AML. We suspected that alteration of small non-coding microRNA (miRNA) expression in these leukemia cells is involved in the transformation process and used miRNA microarrays to determine the miRNA signature from total RNA harvested from FLT3/ITD expressing FDC-P1 cells (FD-FLT3/ITD). This revealed that a limited set of miRNAs appeared to be affected by expression of FLT3/ITD compared to the control group consisting of FDC-P1 parental cells transfected with an empty vector (FD-EV). Among differentially expressed miRNAs, we selected miR-16, miR-21 and miR-223 to validate the microarray data by quantitative real-time RT-PCR showing a high degree of correlation. We further analyzed miR-16 expression with FLT3 inhibitors in FLT3/ITD expressing cells. MiR-16 was found to be one of most significantly down-regulated miRNAs in FLT3/ITD expressing cells and was up-regulated upon FLT3 inhibition. The data suggests that miR-16 is acting as a tumour suppressor gene in FLT3/ITD-mediated leukemic transformation. Whilst miR-16 has been reported to target multiple mRNAs, computer models from public bioinformatic resources predicted a potential regulatory mechanism between miR-16 and Pim-1 mRNA. In support of this interaction, miR-16 was shown to suppress Pim-1 reporter gene expression. Further, our data demonstrated that over-expression of miR-16 mimics suppressed Pim-1 expression in FD-FLT3/ITD cells suggesting that increased miR-16 expression contributes to depletion of Pim-1 after FLT3 inhibition and that miR-16 repression may be associated with up-regulated Pim-1 in FLT3/ITD expressing cells.|
|Kyu-Tae Kim; Adam P Carroll; Baratali Mashkani; Murray J Cairns; Donald Small; Rodney J Scott|
Related Documents :
|25041015 - Effects of plce1 gene silencing by rna interference on cell cycling and apoptosis in es...
23416875 - Detection of a long non-coding rna (ccat1) in living cells and human adenocarcinoma of ...
23539445 - β-catenin/pou5f1/sox2 transcription factor complex mediates igf-1 receptor signaling a...
24372535 - Urotensin-ii receptor is over-expressed in colon cancer cell lines and in colon carcino...
16455765 - Insulin and growth hormone stimulate somatostatin receptor (sstr) expression by inducin...
18449625 - Liv.52 regulates ethanol induced ppargamma and tnf alpha expression in hepg2 cells.
|Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2012-09-06|
|Title: PloS one Volume: 7 ISSN: 1932-6203 ISO Abbreviation: PLoS ONE Publication Date: 2012|
|Created Date: 2012-09-12 Completed Date: 2013-03-07 Revised Date: 2013-07-11|
Medline Journal Info:
|Nlm Unique ID: 101285081 Medline TA: PLoS One Country: United States|
|Languages: eng Pagination: e44546 Citation Subset: IM|
|School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia. firstname.lastname@example.org|
|APA/MLA Format Download EndNote Download BibTex|
Amino Acid Sequence
Down-Regulation / genetics*
MicroRNAs / metabolism*
Molecular Sequence Data
Oligonucleotide Array Sequence Analysis
Protein-Serine-Threonine Kinases / metabolism*
Proto-Oncogene Proteins / metabolism*
Real-Time Polymerase Chain Reaction
Sequence Homology, Amino Acid
fms-Like Tyrosine Kinase 3 / genetics*
|0/MicroRNAs; 0/Mirn16 microRNA, mouse; 0/Proto-Oncogene Proteins; 9007-49-2/DNA; EC 188.8.131.52/Flt3 protein, mouse; EC 184.108.40.206/fms-Like Tyrosine Kinase 3; EC 220.127.116.11/Pim3 protein, mouse; EC 18.104.22.168/Protein-Serine-Threonine Kinases|
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Publisher: Public Library of Science, San Francisco, USA
Copyright: 2012 Kim et al
Received Day: 6 Month: 3 Year: 2012
Accepted Day: 7 Month: 8 Year: 2012
collection publication date: Year: 2012
Electronic publication date: Day: 6 Month: 9 Year: 2012
Volume: 7 Issue: 9
E-location ID: e44546
PubMed Id: 22970245
Publisher Id: PONE-D-12-06742
|MicroRNA-16 Is Down-Regulated in Mutated FLT3 Expressing Murine Myeloid FDC-P1 Cells and Interacts with Pim-1 Alternate Title:MicroRNA-16 in Mutated FLT3 Expressing Mouse Cell|
|Adam P. Carroll1|
|Murray J. Cairns1|
|Rodney J. Scott1|
1School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia
2Department of Oncology and Department of Pediatrics, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
|University of Frankfurt - University Hospital Frankfurt, Germany
|Correspondence: * E-mail: email@example.com
[conflict] Competing Interests: The authors have declared that no competing interests exist.
Contributed by footnote: Conceived and designed the experiments: KTK MJC DS RJS. Performed the experiments: KTK APC BM MJC. Analyzed the data: KTK APC BM MJC. Contributed reagents/materials/analysis tools: KTK MJC RJS. Wrote the paper: KTK APC BM MJC DS RJS.
Fms-like tyrosine kinase 3 (FLT3) is expressed and activated in many human leukemias, including a significant percentage of acute myeloid leukemia (AML), and infant/childhood acute lymphoblastic leukemia (ALL) , , . Activating mutations of FLT3 are found in approximately one third of AML cases and portend a poor prognosis . Internal tandem duplication (ITD) mutations of the juxtamembrane domain coding sequence of the FLT3 gene have been identified in 17% to 34% of patients with AML and 5% of patients with myelodysplastic syndrome , , . Mutations in FLT3 induce ligand-independent, constitutive activation of FLT3 and activate multiple signaling pathways including up-regulation of Pim-1 , . While there is some suggestion that up-regulated Pim-1 may be a consequence of activation of STAT5 in FLT3/ITD expressing cells , , , , we hypothesised the presence of a regulatory mechanism involving a FLT3-associated alteration of Pim-1 sensitive miRNA expression.
MiRNA are a highly-conserved family of small non-protein-coding RNA molecules, approximately 22 nucleotides in length, which can negatively regulate their target gene expression post-transcriptionally , . This occurs through partial base-pairing at miRNA recognition elements (MREs) within the 3′-untranslated region (UTR) of target mRNAs, resulting in mRNA destabilization and translational inhibition , . In recent years the dysregulation of miRNAs has been linked to cancer initiation and progression, indicating that miRNAs may play roles as tumour suppressor genes or oncogenes , , , . Indeed, miRNA profiles can be used to classify human cancers and are surprisingly informative , , and while the role of miRNAs in apoptosis is not fully understood, evidence is mounting to indicate an important role for miRNAs in this process . In healthy cells, miRNAs are expressed in specific haematological cell types and play important regulatory roles in early haematopoietic differentiation, erythropoiesis, granulocytosis, megakaryocytosis and lymphoid development , .
Despite the growing evidence for their importance in normal physiology, the regulation of miRNA expression in leukemia is not fully understood , . There is an emerging body of research to suggest that miRNAs play an important role in the pathology of haematological malignancies , first suggested with the deletion or down-regulation of miR-15 and miR-16 in a large proportion of chronic lymphocytic leukemia (CLL) cases . Subsequent expression profiling studies identified miRNA signatures characterizing CLL outcome , , ALL  and AML associated with various abnormalities , . Imatinib treatment of CML patients has also been shown to rapidly normalise the characteristic miRNA expression profile, supporting the notion that miRNAs may serve as a clinically useful biomarker in leukemia patients . Indeed, deletion or down-regulation of miR-15 and miR-16 in CLL is inversely correlated to BCL2 expression, and both miRNAs have been shown to negatively regulate BCL2 at a posttranscriptional level . However, only a handful of the potentially hundreds of miR-16 target genes have been identified to date, including CCND1, WNT3A, CAPRIN1, HMGA1, BMI1, WIP1, and SERT (serotonin transporter), though this does suggest an important role for miR-16 in regulating biological processes such as cell cycle regulation, apoptosis, and proliferation , , , , .
To better understand miRNA regulatory mechanisms in mutated FLT3 expressing cells, we performed miRNA microarray experiments to observe differential expression of miRNAs in FLT3/ITD expressing murine myeloid FDC-P1 cells compared to the control. Our results indicated that a limited set of miRNAs are differentially expressed in FLT3/ITD expressing FDC-P1 cells (FD-FLT3/ITD) when compared to empty vector expressing FDC-P1 cells (FD-EV). We hypothesised that differential expression of these miRNAs may be associated with FLT3/ITD mediated leukemic transformation. Among these miRNAs, we selected miR-16, miR-21, and miR-223 to validate the microarray data by quantitative real-time RT-PCR (QPCR), showing a high degree of correlation. In this study, miR-16 was found to be one of most significantly down-regulated genes in FD-FLT3/ITD cells, and was up-regulated upon FLT3 inhibition. This suggested that miR-16 is acting like a tumour suppressor gene in FLT3/ITD-mediated leukemic transformation. The Pim-1 oncogene has previously been shown to be up-regulated by constitutively activated FLT3, and to play a role in FLT3-mediated cell survival , , , , , , . Further, Pim-1 expression is reported to be down-regulated quickly after treatment of FLT3 inhibitor , , , , , , . It has been suggested that down-regulation of Pim-1 after FLT3 inhibition may result primarily from deactivation of STAT5 in FLT3/ITD signalling and a relatively short half-life of Pim-1 , , , . However, the mechanism of regulation of Pim-1 expression by FLT3/ITD signalling is not clearly understood. Interestingly, we found that computer models from public bioinformatic resources predicted a potential regulatory mechanism between miR-16 and Pim-1 mRNA. Thus, we performed Pim-1 reporter gene assays to determine whether miR-16 may actually interact with Pim-1 in vitro. Our results identified that miR-16 appears to bind to the 3′ UTR of Pim-1 and mediate negative regulation of Pim-1 expression. Using quantitative real-time RT-PCR and immunoblotting, we confirmed that reduced Pim-1 mRNA and protein levels were the outcome of miR-16 mimic transfection demonstrating that binding of miR-16 on the 3′ UTR of Pim-1 results in the negative regulation of Pim-1 at a posttranscriptional level.
FLT3/ITD positive human leukemia cell lines, MV4-11 and MOLM-14 cells, were purchased from ATCC (American Type Culture Collection, Manassas, VA). The cells were cultured with RPMI-1640 media supplemented with 10% fetal bovine serum (FBS) at 37°C and 5% CO2. The growth factor-dependent murine myeloid cell line FDC-P1 was purchased from ATCC and the cells were cultured with DMEM media supplemented with 10% FBS and murine GM-CSF as previously described .
FLT3/ITD expressing FDC-P1 cells (FD-FLT3/ITD) and empty vector expressing FDC-P1 cells (FD-EV) were generated as briefly described below. The construct for FLT3/ITD was originally supplied by Dr. Hitoshi Kiyoi (Nagoya University School of Medicine, Nagoya, Japan). The FLT3/ITD fragment was subcloned into MSCV-IRES-GFP vector and introduced into FDC-P1 cells by retrovirus-mediated gene transfer as previously described . As a control, FD-EV cells were transfected by retroviral particles made using empty MSCV-IRES-GFP vector. FDC-P1 cells expressing either only GFP from empty vector or both FLT3/ITD and GFP were sorted using a FACSAria II cell sorter in order to prepare a homogeneous cell populations. Cell proliferation of FD-FLT3/ITD cells in the growth factor-free media was confirmed by resazurin assay as previously described . Expression of human FLT3/ITD was examined by immune-fluorescence staining using mouse monoclonal antibody against FLT3 (Santa Cruz Biotech, CA) as the primary antibody, sheep anti-mouse IgG conjugated with PE (Chemicon, Billerica, MA) as the secondary antibody, followed by flow cytometric analysis using FACSCalibur Flow Cytometer (BD Biosciences, San Jose, CA). CellQuest software (BD Biosciences) was used for data analysis.
Lestaurtinib (known as CEP-701) was purchased from LC Laboratories (Woburn, MA) and sunitinib was purchased from Chemietek (Indianapolis, IN). The 10 mM stock solutions of each drug were prepared with dimethyl sulfoxide (Ajax Finechem, NSW, Australia) and stored at −80°C. They were diluted into cell culture media immediately prior to use.
Total RNA, including miRNA, for miRNA microarray experiments were extracted by Trizol reagent (Invitrogen, Carlsbad, CA) and purified by miReasy mini kit (Qiagen, Valencia, CA) according to the manufacturer’s protocol. Customized arrays from LC Sciences (Houston, TX USA) were used to obtain differentially expressed miRNAs. Modification of total RNA and consecutive hybridization were carried out on a µParaflo™ microfluidic chip (LC Sciences, Houston, TX USA) according to in-house protocol of LC Sciences . Briefly, the assay started from a 2 µg total RNA sample, which was size-fractionated using a YM-100 Microcon centrifugal filter (Millipore, Billerica, MA, USA), with the isolated small RNAs (<300 nt) 3′-extended with a poly(A) tail using poly(A) polymerase. An oligonucleotide tag was then ligated to the poly(A) tail for subsequent fluorescent dye staining; two different tags were used for the two RNA samples in dual-sample experiments. On the microfluidic chip, each detection probe consisted of a chemically modified nucleotide-coding segment complementary to target miRNA (from miRBase, Version 10.0, http://microrna.sanger.ac.uk/sequences/) and a spacer segment of polyethylene glycol to extend the coding segment away from the substrate. The detection probes were made by in situ synthesis using photogenerated reagent (PGR) chemistry. The hybridization melting temperatures were balanced by chemical modifications of the detection probes. Hybridization used 100 µL 6×SSPE buffer (0.90 M NaCl, 60 mM Na2HPO4, 6 mM EDTA, pH 6.8) containing 25% formamide at 34°C. After hybridization detection by fluorescence labelling using tag-specific Cy3 (FD-EV cells) and Cy5 dyes (FD-FLT3/ITD cells), were identified using a laser scanner (GenePix 4000B; Molecular Devices, Union City, CA, USA) and digitized using Array-Pro image analysis software (Media Cybernetics, Bethesda, MD, USA).
Data were analysed first by subtracting the background and then normalising the signals using a locally-weighted regression (LOWESS) filter . For two colour experiments, the ratio of the two sets of detected signals (log2 transformed, balanced) and p-values of the t-test were calculated; differentially detected signals were those with less than 0.05 p-values. To identify miRNA whose expression was significantly different between non-tumour and tumour samples and could identify the different nature of FDC-P1 cells, we made use of ANOVA and class prediction statistical tools. Microarray data were hierarchically clustered using the GeneCluster program (Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA) . Predicted targets for selected miRNAs were analysed using miRanda (http://microrna.sanger.ac.uk/sequences), TargetScan (http://www.targetscan.org) and PicTar (http://pictar.bio.nyu.edu).
Total RNA, including miRNAs, for quantitative real-time reverse transcription (RT)–PCR (QPCR) experiments were extracted by Trizol reagent (Invitrogen, Carlsbad, CA) and purified by miReasy mini kit (Qiagen, Valencia, CA) according to the manufacturer’s protocol. Using TaqMan miRNA assays kit (Applied Biosystems, CA), reverse transcription was performed and then QPCR was performed specific for each miRNA in triplicate for each sample. TaqMan miRNA assays were performed using an ABI 7500 Real Time PCR System and threshold cycle (Ct) results were calculated using the manufacturer’s software (Applied Biosystems, Carlsbad, CA). Single time-point results were reported as a ΔCt (gene Ct – U6 Ct) after normalization using endogenous control U6, and single time-point gene expression data were reported as 2(−ΔCt) after statistical analysis. The relative expression level was calculated using the comparative Ct method. To quantify Pim-1 and Bcl-2 mRNAs, cDNA was produced from total RNA by treatment with reverse transcriptase using standard procedures. Power SYBR Green PCR master mix from Applied Biosystems (Carlsbad, CA) was used and the data normalized using endogenous control β-actin. Single time-point results were reported as a ΔCt (gene Ct – β-actin Ct), and fold differences were calculated as 2(−ΔCt). Statistical significance between the transfected and non-transfected cell lines was determined using the student’s t-test.
Validation of predicted target genes was accomplished by co-transfecting HEK-293 cells with synthetic miRNA or an LNA-modified antisense inhibitor and recombinant firefly luciferase reporter gene constructs containing 3′ UTR sequences substituted from the target gene as described previously , . The pMIR-REPORT™ Luciferase miRNA Expression Reporter Vector (Ambion) contains firefly luciferase under the control of a mammalian promoter/terminator system, with a miRNA target cloning region downstream of the luciferase translation sequence. To test whether miR-16 targets Pim-1, two predicted MREs from Pim-1 were cloned into the pMIR-REPORT multiple cloning site to generate reporter constructs. Lipofectamine 2000 reagent (Invitrogen) was used to transiently co-transfect HEK-293 cells with 4 ng of reporter construct (Pim1_16_1 or Pim1_16_2) and 20 ng of pRL-TK renilla luciferase construct; with 30 nM synthetic miRNA (miR-16 mimic or miR-16 scramble control) or 100 nM anti-miR LNA-modified oligonucleotide (anti-miR-16 or anti-miR scramble control) (Table 1). The Dual-Luciferase Reporter Assay System (Promega) was then used to measure luciferase activity on a BioTek Synergy 2 plate reader. The responsiveness of each reporter-MRE to co-transfected miR-16 or anti-miR-16 was determined by their relative firefly luciferase activities with respect to Renilla luciferase activity (transfection control), normalised against the relative activity with their respective scrambled controls.
Target cells were transfected using synthetic miRNAs (Table 1) with Lipofectamine RNAiMAX reagent (Invitrogen) according to manufacturer’s instructions. Following transfection, miR-16 was quantified using TaqMan miRNA assay kit (Applied Biosystems, CA) to confirm over-expression or reduction of miR-16 expression in target cells. QPCR was performed from total RNA extracted from each transfected cell. Aliquots of the transfected cells were washed and lysed with 1% NP-40 lysis buffer to obtain total protein extract. The extracts were loaded onto 10% NuPAGE gels and separated using a Novex Mini-Cell system (Invitrogen, Mt. Waverley, Australia). After electrophoresis and transfer to Immobilon membranes (Millipore, Bedford, MA), Western blotting was performed using antibodies against Pim-1 (12H8, sc-13513, Santa Cruz biotechnology, Santa Cruz, CA) and β-actin (Abcam, Ab8227, Cambridge, MA). Protein bands were visualized using chemiluminescence (ECL Western blotting reagents; GE Biosciences, Buckinghamshire, UK) and imaged on a FujiFilm LAS-3000 Luminescent Image Analyser (Fuji Photo Film, Tokyo, Japan).
To understand differential expression of miRNAs associated with FLT3/ITD mediated transformation, we first introduced a human FLT3/ITD expressing vector into murine myeloid FDC-P1 (Factor Dependent Cell Progenitor 1) cells. FDC-P1 cells are murine non-tumourigenic diploid progenitor cells, growth-dependent upon GM-CSF or IL-3 , . Full sequencing of FLT3/ITD showed that it contained a 60-bp Internal Tandem Duplication (ITD) mutation in its juxtamembrane domain. It encodes a peptide fragment with the sequence of (SSSDNEYFYVDFREYEYDLK) which is inserted downstream of Lys603 (Fig. 1A). Most of the inserted residues (Ser604 to Lys622) were similar to those in the original sequence of FLT3 (Ser584 to Lys603). However, there was a G to A nucleotide change in the beginning of ITD insert which results in the replacement of Gly583 in the original FLT3 sequence by Ser604 in the ITD insert. This insertion is believed to be rendering the FLT3/ITD kinase domain constitutively active via interruption of the autoinhibitory function of the JM domain . We confirmed by flow cytometry that FLT3/ITD was stably expressed in the FDC-P1 cells (FD-FLT3/ITD) after transduction (Fig. 1B). Previously, multiple research groups have reported that constitutive activation of FLT3 tyrosine kinase induced leukemic transformation in growth-factor dependent cell lines , , , . Our cell proliferation assay in growth factor free media also confirmed that the FD-FLT3/ITD cells were factor independent (Fig. S1). Thus, the ectopic expression of FLT3/ITD transformed the cells to growth-factor independence, whereas empty-vector expressing FDC-P1 cells (FD-EV) were still growth-factor dependent for their growth.
To better understand global miRNA expression signature associated with FLT3/ITD mediated transformation in FDC-P1 cells, we used custom miRNA microarrays to analyse miRNA expression from both FD-FLT3/ITD cells and FD-EV cells (control). RNA from FD-EV cells was labelled with Cy3 and FD-FLT3/ITD cells with Cy5, enabling direct differential expression for each miRNA between the two cell types. A limited set of miRNAs appeared to be affected by FLT3/ITD expression compared to the control group after statistical analysis (p<0.01). (Fig. 2). Several miRNAs including miR-16 and miR-223 were down-regulated after transformation whereas several miRNAs including miR-21 were up-regulated after transformation of FDC-P1 cells by expression of FLT3/ITD. Thus, limited miRNAs were differentially expressed in FDC-P1 cells upon transformation of the cells by the expression of FLT3/ITD.
In order to validate the miRNA microarray data, total RNA from FD-FLT3/ITD or FD-EV cells were obtained and then used in quantitative RT-PCR (QPCR) experiments. We selected miR-16, miR-21 and miR-223 on the basis of published reports relevant to the leukaemic phenotype. This demonstrated a high degree of correlation between the microarray data and QPCR data (Fig. 3). We confirmed miR-16 and miR-223 were down-regulated: greater than two-fold lower in FD-FLT3/ITD cells compared to control cells. We also confirmed miR-21 was up-regulated: greater than 1.8-fold higher in FD-FLT3/ITD cells compared to control cells. Thus, the differential expression of our selected miRNAs was validated by QPCR, and correlated strongly with the microarray data.
To further validate these findings and investigate the relationship between differentially expressed miRNAs in FD-FLT3/ITD cells and constitutively active FLT3, we performed QPCR before and after treatment of FLT3 inhibitors, lestaurtinib and sunitinib (Fig. 4). Lestaurtinib and sunitinib are reported to selectively deactivate constitutively activated FLT3 , , . We selected miR-16 for further analysis by QPCR and FLT3 inhibitors as it has been reported to be involved in anti-apoptosis in leukaemic cells. We discovered that miR-16 expression was increased in each FLT3/ITD expressing cell we tested (FD-FLT3/ITD, MV4-11 and MOLM-14 cells) with increasing time points of incubation with FLT3 inhibitors (lestaurtinib or sunitinib) (Fig. 4). Thus, suppressed miR-16 in FLT3/ITD expressing cells appears to be highly associated with activated FLT3 signalling with ITD mutation, and suppression of miR-16 can be reversed by FLT3 inhibition.
Anti-apoptotic oncogene Pim-1 has been reported to be upregulated in FLT3/ITD expressing cells. In this study, we questioned whether Pim-1 in FLT3/ITD expressing cells may be regulated by one of the miRNAs in the set of miRNAs obtained from our miRNA microarray experiment. Because, like many other mRNAs, Pim-1 mRNA can be targeted by multiple miRNAs, we performed bioinformatic analysis to obtain a list of miRNAs possibly targeting Pim-1 mRNA via translational repression. Interestingly, we discovered through bioinformatic computer models that miR-16 may target the 3′ UTR region of both human and mouse Pim-1 (Fig. 5A and B). Indeed, this predicted interaction is conserved in both humans and mice (Fig. 5A and B); with conserved miRNA target sites reported to exert a stronger effect than non-conserved target sits , this further strengthened our preliminary hypothesis. Additionally, in the mouse Pim-1 3′ UTR, putative target sites for miR-16 were located in two different locations whilst alignment scores of both sites are equally high (Fig. 5B). To verify Pim-1 as a target of miR-16, we performed luciferase reporter assays with both putative miR-16 binding sites from the Pim-1 3′ UTR (Pim1_16_1 3′ UTR and Pim1_16_2 3′ UTR, Fig. 5C). Our data indicated a miR-16–specific regulation of reporter gene expression of both Pim1_16_1 and Pim1_16_2 constructs (Fig. 5D). Thus, miR-16 possesses two MREs within the Pim-1 3′ UTR that it can bind to regulate Pim-1 expression levels. Taken together, miR-16 appears to bind to the 3′ UTR of Pim-1 and mediate negative regulation of Pim-1 expression.
The putative target site of miR-16 in 3′-UTR of Pim-1 and luciferase reporter assay results suggested the possibility of inverse correlation of Pim-1 expression by miR-16. To validate increased miR-16 expression can reduce Pim-1 mRNA levels, we analysed expression of Pim-1 by QPCR using total RNA extracted from FD-FLT3/ITD cells upon miR-16 mimic transfection. Indeed, the RNA level of Pim-1 exhibited approximately 2.2-fold decrease upon miR-16 mimic transfection compared to the control (Fig. 6A). Since miR-16 has been shown to target Bcl-2 , the RNA level of Bcl-2 was also analysed as a positive control. The RNA level of Bcl-2 paralleled Pim-1 expression upon miR-16 mimic transfection confirming Pim-1 mRNA levels were reduced due to an interaction with miR-16. To determine whether the changes in mRNA result in changes to protein expression, cell lysates of FD-FLT3/ITD cells were immunoblotted by anti-Pim-1 antibody. Our data demonstrated Pim-1 protein levels parallel the observed decreases in Pim-1 mRNA expression. Pim-1 protein also exhibited an approximate 2-fold decrease in FD-FLT3/ITD cells indicating Pim-1 is a direct target of miR-16 and miR-16 induces translational repression of Pim-1 (Fig. 6A, inset). Our data show that enforced expression of miR-16 could not completely deplete Pim-1 expression and reduces both mRNA and protein levels to approximately 50% compared to control cells. This may be due to continuous induction of Pim-1 by the other FLT3/ITD mediated signalling molecules such as STAT5 in FD-FLT3/ITD cells. We next examined whether enforced expression of the miR-16 mimic might result in changes of cell growth. Viable cells were counted daily based on trypan blue exculsion after transfection of synthetic miR-16. It was noted that FD-FLT3/ITD cells transfected with the miR-16 mimic grew more slowly when compared to FD-FLT3/ITD cells transfected with scrambled control (Fig. 6B). Taken together, miR-16 appears to bind to the 3′ UTR of Pim-1 and thus mediate negatively the regulation of Pim-1 expression at a posttranscriptional level, and suppressed miR-16 may contribute to continuous growth of FD-FLT3/ITD cells through up-regulation of anti-apoptotic molecules including Pim-1.
MiRNAs control gene expression by destabilizing targeted transcripts and inhibiting their translation. It is now widely accepted that the expression of miRNAs has been definitively linked to cancer development, and miRNA profiles can be used to classify human cancers. For this reason, a better understanding of differential miRNA expression in malignant phenotypes should provide better development strategies towards more successful therapeutic intervention.
AML accounts for ∼30% of all leukemia diagnoses and has the lowest survival rate. It is a clinically and genetically heterogeneous disease , but mutations in the FLT3 gene occur in a large proportion of cases (approximately 30%) and, at least for internal tandem duplication (ITD) mutations, are associated with poor prognosis . FLT3/ITD mutations also occur in 5% of patients with myelodysplastic syndrome (MDS) , . Mutations in FLT3 induce constitutive activation of FLT3 and activate multiple signalling pathways and induce leukemic transformation , , . To better understand the miRNA expression signature in FLT3/ITD mediated cell transformation, we performed retroviral transduction of a FLT3/ITD expressing vector into murine myeloid FDC-P1 cells and used factor-dependent parental FDC-P1 cells transduced with an empty vector (FD-EV) as a control to obtain differential miRNA expressions in FD-FLT3/ITD cells. We confirmed FD-FLT3/ITD cells transformed to growth factor independent cells, as evidenced by continual cell proliferation in the absence of additional growth factors such as GM-CSF. The miRNA signature associated with this transformation was subsequently investigated, revealing the differential expression of several miRNAs in FD-FLT3/ITD cells compared to the control cells (Fig. 2). We selected miR-16, miR-223 and miR-21 from the set of miRNAs for further analysis on the basis of relevancy to the leukemia phenotype and published literatures. To validate microarray data, we performed QPCR using TaqMan miRNA assays on these three miRNA and confirmed that miR-16 and miR-223 were suppressed, whilst miR-21 was up-regulated in FD-FLT3/ITD cells correlating strongly with data from the microarray experiments. In addition to these three miRNAs, we also found several interesting miRNAs, however we were not able to further analyse these miRNAs in this report. For example, one of our suppressed miRNAs from the data in Fig. 2 is miR-155. Previously it has been reported that miR-155 is suppressed in hematopoietic stem cells and plays a role in the blocking of differentiation . In our microarray data, miR-155 was down-regulated in FD-FLT3/ITD cells compared to the control. Thus, suppressed miR-155 may be postulated to be associated with FLT3/ITD mediated blocking of cell differentiation. In contrast to our data, it has been reported that miR-155 is highly up-regulated in FLT3/ITD positive AML patient samples, although the up-regulated miR-155 was independently associated with FLT3/ITD , . Thus, further studies of association of dysregulated miR-155 in FLT3/ITD positive AML are warranted to clearly understand role of miR-155 in AML.
It has been reported that aberrant expression of miR-21 is highly associated with various cancer models and appears to be associated with tumour growth , . We also found that miR-21 is up-regulated in FD-FLT3/ITD cells suggesting up-regulated miR-21 in FD-FLT3/ITD cells may be involved in anti-apoptosis by targeting molecules for normal apoptosis such as PDCD4 (Programmed cell death 4) , , , . It has been reported that miR-223 regulates normal granulopoiesis . MiR-223 is preferentially expressed in myeloid cells , triggers granulocytic differentiation , and plays a crucial role in maturation and maintaining granulocytic function . In addition, miR-223 blocks differentiation towards other blood cells such as erythrocytes . It has been reported that CEBPα induces miR-223 expression , . Previously, independent research groups reported that CEBPα is suppressed in FLT3/ITD expressing cells , . Thus, it can be postulated that suppressing CEBPα may down-regulate miR-223 expression in FD-FLT3/ITD cells. Recently, it has also been found that miR-223 blocks myeloid cell proliferation and is down-regulated in most sub-types of human AML including FLT3/ITD expressing cells via targeting the cell-cycle regulator E2F1 . However, we cannot rule out another mechanism of miR-223 mediated leukemic transformation because miR-223 could also be targeting another putative molecule, in addition to E2F1. In our study, we more focused on miR-16 to further analyse its role in FLT3/ITD expressing cells.
Generally, hundreds of mRNAs have been predicted to be potential targets of one miRNA. Numerous target mRNAs of miR-16 have been identified so far , , , , . Our results in this report suggest that Pim-1 may be a potential target of miR-16. A few transcriptional regulators for miR-16 such as p53 , NF-κB  and Myc  have been suggested to be involved in regulating the expression of miR-16. Previously, Myc has been reported to be upregulated in mutated FLT3 expressing cells postulating reduced expression of miR-16 is possibly associated with up-regulated Myc , . However, further studies are warranted to prove this hypothesis. We discovered that miR-16 is down regulated in FD-FLT3/ITD cells and it is highly upregulated upon FLT3 inhibition in FLT3/ITD expressing FD-FLT3/ITD, MV4-11, and MOLM-14 cells. Thus, our results in this study identified miR-16 is a dysregulated miRNA in FLT3/ITD expressing cells, and suggest that suppressed miR-16 may be associated with regulation of Pim-1 levels in FLT3/ITD signalling. Combined with previous published reports, we hypothesise that Pim-1 may be down-regulated not only by deactivation of its possible transcription factors such as STAT5, but also by increment of miR-16 after treatment of FLT3 inhibitors. As such, it can be postulated that suppressed miR-16 in FLT3/ITD expressing cells may contribute to up-regulation of Pim-1.
To prove our hypothesis of direct interaction of miR-16 and Pim-1, we first performed luciferase reporter assay to determine whether miR-16 can bind to 3′UTR of Pim-1. Our data have shown that miR-16 binds to two 3′-UTR regions of Pim-1 demonstrating miR-16 interacts with Pim-1. We next performed QPCR and immunoblotting to quantify Pim-1 expression upon miR-16 mimic transfection in FD-FLT3/ITD cells. The Pim-1 mRNA and protein were decreased after transfection of the miR-16 mimic demonstrating miR-16 possibly regulates Pim-1 at a posttranscriptional level. We also found that FD-FLT3/ITD cell growth was reduced upon miR-16 mimic transfection showing miR-16 may interact with anti-apoptotic molecules including Pim-1.
Recently, Pim-1 has been reported to be targeted by miR-33a . However, we could not find substantial differences in expression of the miR-33a in FD-FLT3/ITD cells compared to the control. Further, we could not see a substantial change of miR-33a expression upon FLT3 inhibitor treatment in FLT3/ITD expressing cells (MOLM-14 and MV4-11 cells). Thus, miR-33a appears to be not a major miRNA regulating Pim-1 expression in FLT3/ITD expressing cells.
While it is clear that aberrant FLT3 signaling is a major transforming event and plays an important role in leukaemogenesis, it is widely accepted that fully transformed AML has additional “hits” that make FLT3 sufficient to promote disease. Because targeting FLT3 by itself is not sufficient to achieve complete remission or cure in AML patients, it has been suggested that in combination with other modalities it may yield more favourable clinical outcomes , . Thus, a combination therapy targeting multiple malignancies could potentially be utilized to override FLT3 inhibitor resistance. Pim-1 has an important role in anti-apoptosis in FLT3/ITD positive cells , . Pim-1 may be a putative target for FLT3/ITD for AML to overcome resistance of mono-therapy, as it has been found to be significantly down-regulated on FLT3 inhibition . Furthermore, a recent report  suggests that Pim-1 kinase mediates surface expression of CXCR4, which suggests that targeting Pim-1/FLT3 would be a more efficient therapy for targeting the bone marrow microenvironment. For this reason, regulation of Pim-1 level and modulation of miR-16 expression may be important for FLT3/ITD expressing AML.
In our study, we identified a miRNA signature associated with FLT3/ITD expressing cells. We then confirmed that a selection of these including miR-16, miR-223, and miR-21 are differentially expressed in FLT3/ITD expressing cells. Finally, we focused on miR-16 for further study and found the Pim-1 oncogene, a regulator of FLT3/ITD signalling, is itself potentially regulated by miR-16. Significantly, this provides further evidence that miR-16 expression is an important biomarker of this transformation and provides an alternative target for future drug development.
Cell proliferation assay of FDC-P1 cells transfected by MSCV-IRES-GFP empty vector (FD-EV), or MSCV-FLT3/ITD-IRES-GFP expressing vector (FD-FLT3/ITD) in growth factor-free media. Equal number of cells was added to 10 wells (in a 96-well plate) containing DMEM media and 10% FCS. The plate was incubated at 37°C with 5% CO2 for 48 hours. Then resazurin reagent was added to all wells and incubated for 4 hours. Fluorescent intensity represents the relative number of live cells in each well.
Click here for additional data file (pone.0044546.s001.png)
|1.||Birg F,, Courcoul M,, Rosnet O,, Bardin F,, Pebusque MJ,, et al. (Year: 1992) Expression of the FMS/KIT-like gene FLT3 in human acute leukemias of the myeloid and lymphoid lineages. Blood80: 2584–25931384791|
|2.||Carow CE,, Levenstein M,, Kaufmann SH,, Chen J,, Amin S,, et al. (Year: 1996) Expression of the hematopoietic growth factor receptor FLT3 (STK-1/Flk2) in human leukemias. Blood87: 1089–10968562934|
|3.||Rosnet O,, Buhring HJ,, Marchetto S,, Rappold I,, Lavagna C,, et al. (Year: 1996) Human FLT3/FLK2 receptor tyrosine kinase is expressed at the surface of normal and malignant hematopoietic cells. Leukemia10: 238–2488637232|
|4.||Thiede C,, Steudel C,, Mohr B,, Schaich M,, Schakel U,, et al. (Year: 2002) Analysis of FLT3-activating mutations in 979 patients with acute myelogenous leukemia: association with FAB subtypes and identification of subgroups with poor prognosis. Blood99: 4326–433512036858|
|5.||Nakao M,, Yokota S,, Iwai T,, Kaneko H,, Horiike S,, et al. (Year: 1996) Internal tandem duplication of the flt3 gene found in acute myeloid leukemia. Leukemia10: 1911–19188946930|
|6.||Yokota S,, Kiyoi H,, Nakao M,, Iwai T,, Misawa S,, et al. (Year: 1997) Internal tandem duplication of the FLT3 gene is preferentially seen in acute myeloid leukemia and myelodysplastic syndrome among various hematological malignancies. A study on a large series of patients and cell lines. Leukemia11: 1605–16099324277|
|7.||Levis M,, Small D, (Year: 2003) FLT3: ITDoes matter in leukemia. Leukemia17: 1738–175212970773|
|8.||Kim KT,, Baird K,, Ahn JY,, Meltzer P,, Lilly M,, et al. (Year: 2005) Pim-1 is up-regulated by constitutively activated FLT3 and plays a role in FLT3-mediated cell survival. Blood105: 1759–176715498859|
|9.||Kim KT,, Baird K,, Davis S,, Piloto O,, Levis M,, et al. (Year: 2007) Constitutive Fms-like tyrosine kinase 3 activation results in specific changes in gene expression in myeloid leukaemic cells. Br J Haematol138: 603–61517686054|
|10.||Choudhary C,, Brandts C,, Schwable J,, Tickenbrock L,, Sargin B,, et al. (Year: 2007) Activation mechanisms of STAT5 by oncogenic Flt3-ITD. Blood110: 370–37417356133|
|11.||Peltola KJ,, Paukku K,, Aho TL,, Ruuska M,, Silvennoinen O,, et al. (Year: 2004) Pim-1 kinase inhibits STAT5-dependent transcription via its interactions with SOCS1 and SOCS3. Blood103: 3744–375014764533|
|12.||Vu HA,, Xinh PT,, Kano Y,, Tokunaga K,, Sato Y, (Year: 2009) The juxtamembrane domain in ETV6/FLT3 is critical for PIM-1 up-regulation and cell proliferation. Biochem Biophys Res Commun383: 308–31319345670|
|13.||Chen CZ,, Li L,, Lodish HF,, Bartel DP, (Year: 2004) MicroRNAs modulate hematopoietic lineage differentiation. Science303: 83–8614657504|
|14.||Esquela-Kerscher A,, Slack FJ, (Year: 2006) Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer6: 259–26916557279|
|15.||Bartel DP, (Year: 2009) MicroRNAs: target recognition and regulatory functions. Cell136: 215–23319167326|
|16.||Carthew RW,, Sontheimer EJ, (Year: 2009) Origins and Mechanisms of miRNAs and siRNAs. Cell136: 642–65519239886|
|17.||Cimmino A,, Calin GA,, Fabbri M,, Iorio MV,, Ferracin M,, et al. (Year: 2005) miR-15 and miR-16 induce apoptosis by targeting BCL2. Proc Natl Acad Sci U S A102: 13944–1394916166262|
|18.||Lu J,, Getz G,, Miska EA,, Alvarez-Saavedra E,, Lamb J,, et al. (Year: 2005) MicroRNA expression profiles classify human cancers. Nature435: 834–83815944708|
|19.||Volinia S,, Calin GA,, Liu CG,, Ambs S,, Cimmino A,, et al. (Year: 2006) A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci U S A103: 2257–226116461460|
|20.||Calin GA,, Garzon R,, Cimmino A,, Fabbri M,, Croce CM, (Year: 2006) MicroRNAs and leukemias: how strong is the connection? Leuk Res30: 653–65516330098|
|21.||Lynam-Lennon N,, Maher SG,, Reynolds JV, (Year: 2009) The roles of microRNA in cancer and apoptosis. Biol Rev Camb Philos Soc84: 55–7119046400|
|22.||Lawrie CH, (Year: 2007) MicroRNAs and haematology: small molecules, big function. Br J Haematol137: 503–51217539773|
|23.||Yendamuri S,, Calin GA, (Year: 2009) The role of microRNA in human leukemia: a review. Leukemia23: 1257–126319148134|
|24.||Calin GA,, Dumitru CD,, Shimizu M,, Bichi R,, Zupo S,, et al. (Year: 2002) Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc Natl Acad Sci U S A99: 15524–1552912434020|
|25.||Calin GA,, Ferracin M,, Cimmino A,, Di Leva G,, Shimizu M,, et al. (Year: 2005) A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. N Engl J Med353: 1793–180116251535|
|26.||Marton S,, Garcia MR,, Robello C,, Persson H,, Trajtenberg F,, et al. (Year: 2008) Small RNAs analysis in CLL reveals a deregulation of miRNA expression and novel miRNA candidates of putative relevance in CLL pathogenesis. Leukemia22: 330–33817989717|
|27.||Mi S,, Lu J,, Sun M,, Li Z,, Zhang H,, et al. (Year: 2007) MicroRNA expression signatures accurately discriminate acute lymphoblastic leukemia from acute myeloid leukemia. Proc Natl Acad Sci U S A104: 19971–1997618056805|
|28.||Garzon R,, Volinia S,, Liu CG,, Fernandez-Cymering C,, Palumbo T,, et al. (Year: 2008) MicroRNA signatures associated with cytogenetics and prognosis in acute myeloid leukemia. Blood111: 3183–318918187662|
|29.||Li Z,, Lu J,, Sun M,, Mi S,, Zhang H,, et al. (Year: 2008) Distinct microRNA expression profiles in acute myeloid leukemia with common translocations. Proc Natl Acad Sci U S A105: 15535–1554018832181|
|30.||Flamant S,, Ritchie W,, Guilhot J,, Holst J,, Bonnet ML,, et al. (Year: 2010) Micro-RNA response to imatinib mesylate in patients with chronic myeloid leukemia. Haematologica95: 1325–133320460641|
|31.||Bhattacharya R,, Nicoloso M,, Arvizo R,, Wang E,, Cortez A,, et al. (Year: 2009) MiR-15a and MiR-16 control Bmi-1 expression in ovarian cancer. Cancer Res69: 9090–909519903841|
|32.||Kaddar T,, Rouault JP,, Chien WW,, Chebel A,, Gadoux M,, et al. (Year: 2009) Two new miR-16 targets: caprin-1 and HMGA1, proteins implicated in cell proliferation. Biol Cell101: 511–52419250063|
|33.||Chen RW,, Bemis LT,, Amato CM,, Myint H,, Tran H,, et al. (Year: 2008) Truncation in CCND1 mRNA alters miR-16–1 regulation in mantle cell lymphoma. Blood112: 822–82918483394|
|34.||Zhang X,, Wan G,, Mlotshwa S,, Vance V,, Berger FG,, et al. (Year: 2010) Oncogenic Wip1 Phosphatase Is Inhibited by miR-16 in the DNA Damage Signaling Pathway. Cancer Research70: 7176–718620668064|
|35.||Baudry A,, Mouillet-Richard S,, Schneider B,, Launay JM,, Kellermann O, (Year: 2010) miR-16 targets the serotonin transporter: a new facet for adaptive responses to antidepressants. Science329: 1537–154120847275|
|36.||Kim KT,, Levis M,, Small D, (Year: 2006) Constitutively activated FLT3 phosphorylates BAD partially through pim-1. Br J Haematol134: 500–50916869825|
|37.||Adam M,, Pogacic V,, Bendit M,, Chappuis R,, Nawijn MC,, et al. (Year: 2006) Targeting PIM kinases impairs survival of hematopoietic cells transformed by kinase inhibitor-sensitive and kinase inhibitor-resistant forms of Fms-like tyrosine kinase 3 and BCR/ABL. Cancer Res66: 3828–383516585210|
|38.||Chen LS,, Redkar S,, Taverna P,, Cortes JE,, Gandhi V, (Year: 2011) Mechanisms of cytotoxicity to Pim kinase inhibitor, SGI-1776, in acute myeloid leukemia. Blood118: 693–70221628411|
|39.||Fathi AT,, Arowojolu O,, Swinnen I,, Sato T,, Rajkhowa T,, et al. (Year: 2012) A potential therapeutic target for FLT3-ITD AML: PIM1 kinase. Leuk Res36: 224–23121802138|
|40.||Grundler R,, Brault L,, Gasser C,, Bullock AN,, Dechow T,, et al. (Year: 2009) Dissection of PIM serine/threonine kinases in FLT3-ITD-induced leukemogenesis reveals PIM1 as regulator of CXCL12-CXCR4-mediated homing and migration. J Exp Med206: 1957–197019687226|
|41.||Frost MJ,, Ferrao PT,, Hughes TP,, Ashman LK, (Year: 2002) Juxtamembrane mutant V560GKit is more sensitive to Imatinib (STI571) compared with wild-type c-kit whereas the kinase domain mutant D816VKit is resistant. Mol Cancer Ther1: 1115–112412481435|
|42.||Roberts KG,, Odell AF,, Byrnes EM,, Baleato RM,, Griffith R,, et al. (Year: 2007) Resistance to c-KIT kinase inhibitors conferred by V654A mutation. Mol Cancer Ther6: 1159–116617363509|
|43.||Mashkani B,, Griffith R,, Ashman LK, (Year: 2010) Colony stimulating factor-1 receptor as a target for small molecule inhibitors. Bioorg Med Chem18: 1789–179720156689|
|44.||Gao X,, Gulari E,, Zhou X, (Year: 2004) In situ synthesis of oligonucleotide microarrays. Biopolymers73: 579–59615048782|
|45.||Bolstad BM,, Irizarry RA,, Astrand M,, Speed TP, (Year: 2003) A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics19: 185–19312538238|
|46.||Eisen MB,, Spellman PT,, Brown PO,, Botstein D, (Year: 1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A95: 14863–148689843981|
|47.||Beveridge NJ,, Tooney PA,, Carroll AP,, Tran N,, Cairns MJ, (Year: 2009) Down-regulation of miR-17 family expression in response to retinoic acid induced neuronal differentiation. Cell Signal21: 1837–184519666108|
|48.||Beveridge NJ,, Gardiner E,, Carroll AP,, Tooney PA,, Cairns MJ, (Year: 2010) Schizophrenia is associated with an increase in cortical microRNA biogenesis. Mol Psychiatry15: 1176–118919721432|
|49.||Shounan Y,, Miller M,, Symonds G, (Year: 1995) Transformation of FDC-P1 cells to IL-3 independence by a recombinant murine retrovirus containing v-erb-B. Exp Hematol23: 492–4997768304|
|50.||Young SM,, Cambareri AC,, Ashman LK, (Year: 2006) Role of c-KIT expression level and phosphatidylinositol 3-kinase activation in survival and proliferative responses of early myeloid cells. Cell Signal18: 608–62016002264|
|51.||Griffith J,, Black J,, Faerman C,, Swenson L,, Wynn M,, et al. (Year: 2004) The structural basis for autoinhibition of FLT3 by the juxtamembrane domain. Mol Cell13: 169–17814759363|
|52.||Tse KF,, Allebach J,, Levis M,, Smith BD,, Bohmer FD,, et al. (Year: 2002) Inhibition of the transforming activity of FLT3 internal tandem duplication mutants from AML patients by a tyrosine kinase inhibitor. Leukemia16: 2027–203612357354|
|53.||Zheng R,, Friedman AD,, Levis M,, Li L,, Weir EG,, et al. (Year: 2004) Internal tandem duplication mutation of FLT3 blocks myeloid differentiation through suppression of C/EBPalpha expression. Blood103: 1883–189014592841|
|54.||Mizuki M,, Fenski R,, Halfter H,, Matsumura I,, Schmidt R,, et al. (Year: 2000) Flt3 mutations from patients with acute myeloid leukemia induce transformation of 32D cells mediated by the Ras and STAT5 pathways. Blood96: 3907–391411090077|
|55.||Mizuki M,, Schwable J,, Steur C,, Choudhary C,, Agrawal S,, et al. (Year: 2003) Suppression of myeloid transcription factors and induction of STAT response genes by AML-specific Flt3 mutations. Blood101: 3164–317312468433|
|56.||Levis M,, Pham R,, Smith BD,, Small D, (Year: 2004) In vitro studies of a FLT3 inhibitor combined with chemotherapy: sequence of administration is important to achieve synergistic cytotoxic effects. Blood104: 1145–115015126317|
|57.||Smith BD,, Levis M,, Beran M,, Giles F,, Kantarjian H,, et al. (Year: 2004) Single-agent CEP-701, a novel FLT3 inhibitor, shows biologic and clinical activity in patients with relapsed or refractory acute myeloid leukemia. Blood103: 3669–367614726387|
|58.||O’Farrell AM,, Abrams TJ,, Yuen HA,, Ngai TJ,, Louie SG,, et al. (Year: 2003) SU11248 is a novel FLT3 tyrosine kinase inhibitor with potent activity in vitro and in vivo. Blood101: 3597–360512531805|
|59.||Selbach M,, Schwanhausser B,, Thierfelder N,, Fang Z,, Khanin R,, et al. (Year: 2008) Widespread changes in protein synthesis induced by microRNAs. Nature455: 58–6318668040|
|60.||Enjeti AK,, Tien SL,, Sivaswaren CR, (Year: 2004) Cytogenetic abnormalities in de novo acute myeloid leukemia in adults: relation to morphology, age, sex and ethnicity - a single center study from Singapore. Hematol J5: 419–42515448668|
|61.||Georgantas RW, 3rd, Hildreth R, Morisot S, Alder J, Liu CG, et al (Year: 2007) CD34+ hematopoietic stem-progenitor cell microRNA expression and function: a circuit diagram of differentiation control. Proc Natl Acad Sci U S A104: 2750–275517293455|
|62.||Garzon R,, Garofalo M,, Martelli MP,, Briesewitz R,, Wang L,, et al. (Year: 2008) Distinctive microRNA signature of acute myeloid leukemia bearing cytoplasmic mutated nucleophosmin. Proc Natl Acad Sci U S A105: 3945–395018308931|
|63.||Krichevsky AM,, Gabriely G, (Year: 2009) miR-21: a small multi-faceted RNA. J Cell Mol Med13: 39–5319175699|
|64.||Si ML,, Zhu S,, Wu H,, Lu Z,, Wu F,, et al. (Year: 2007) miR-21-mediated tumor growth. Oncogene26: 2799–280317072344|
|65.||Qi L,, Bart J,, Tan LP,, Platteel I,, Sluis T,, et al. (Year: 2009) Expression of miR-21 and its targets (PTEN, PDCD4, TM1) in flat epithelial atypia of the breast in relation to ductal carcinoma in situ and invasive carcinoma. BMC Cancer9: 16319473551|
|66.||Frankel LB,, Christoffersen NR,, Jacobsen A,, Lindow M,, Krogh A,, et al. (Year: 2008) Programmed cell death 4 (PDCD4) is an important functional target of the microRNA miR-21 in breast cancer cells. J Biol Chem283: 1026–103317991735|
|67.||Asangani IA,, Rasheed SA,, Nikolova DA,, Leupold JH,, Colburn NH,, et al. (Year: 2008) MicroRNA-21 (miR-21) post-transcriptionally downregulates tumor suppressor Pdcd4 and stimulates invasion, intravasation and metastasis in colorectal cancer. Oncogene27: 2128–213617968323|
|68.||Chen CZ,, Lodish HF, (Year: 2005) MicroRNAs as regulators of mammalian hematopoiesis. Semin Immunol17: 155–16515737576|
|69.||Fazi F,, Racanicchi S,, Zardo G,, Starnes LM,, Mancini M,, et al. (Year: 2007) Epigenetic silencing of the myelopoiesis regulator microRNA-223 by the AML1/ETO oncoprotein. Cancer Cell12: 457–46617996649|
|70.||Johnnidis JB,, Harris MH,, Wheeler RT,, Stehling-Sun S,, Lam MH,, et al. (Year: 2008) Regulation of progenitor cell proliferation and granulocyte function by microRNA-223. Nature451: 1125–112918278031|
|71.||Felli N,, Pedini F,, Romania P,, Biffoni M,, Morsilli O,, et al. (Year: 2009) MicroRNA 223-dependent expression of LMO2 regulates normal erythropoiesis. Haematologica94: 479–48619278969|
|72.||Pulikkan JA,, Dengler V,, Peramangalam PS,, Peer Zada AA,, Muller-Tidow C,, et al. (Year: 2010) Cell-cycle regulator E2F1 and microRNA-223 comprise an autoregulatory negative feedback loop in acute myeloid leukemia. Blood115: 1768–177820029046|
|73.||Eyholzer M,, Schmid S,, Schardt JA,, Haefliger S,, Mueller BU,, et al. (Year: 2010) Complexity of miR-223 regulation by CEBPA in human AML. Leuk Res34: 672–67620018373|
|74.||Radomska HS,, Basseres DS,, Zheng R,, Zhang P,, Dayaram T,, et al. (Year: 2006) Block of C/EBP alpha function by phosphorylation in acute myeloid leukemia with FLT3 activating mutations. J Exp Med203: 371–38116446383|
|75.||Boominathan L, (Year: 2010) The tumor suppressors p53, p63, and p73 are regulators of microRNA processing complex. PLoS One5: e1061520485546|
|76.||Shin VY,, Jin H,, Ng EK,, Cheng AS,, Chong WW,, et al. (Year: 2011) NF-kappaB targets miR-16 and miR-21 in gastric cancer: involvement of prostaglandin E receptors. Carcinogenesis32: 240–24521081469|
|77.||Zhang X, Chen X, Lin J, Lwin T, Wright G, et al. (2011) Myc represses miR-15a/miR-16–1 expression through recruitment of HDAC3 in mantle cell and other non-Hodgkin B-cell lymphomas. Oncogene.|
|78.||Li L,, Piloto O,, Kim KT,, Ye Z,, Nguyen HB,, et al. (Year: 2007) FLT3/ITD expression increases expansion, survival and entry into cell cycle of human haematopoietic stem/progenitor cells. Br J Haematol137: 64–7517359372|
|79.||Thomas M, Lange-Grunweller K, Weirauch U, Gutsch D, Aigner A, et al. (2011) The proto-oncogene Pim-1 is a target of miR-33a. Oncogene.|
|80.||Chu SH,, Small D, (Year: 2009) Mechanisms of resistance to FLT3 inhibitors. Drug Resist Updat12: 8–1619162530|
|81.||Weisberg E,, Barrett R,, Liu Q,, Stone R,, Gray N,, et al. (Year: 2009) FLT3 inhibition and mechanisms of drug resistance in mutant FLT3-positive AML. Drug Resist Updat12: 81–8919467916|
Table 1 miRNA and anti-miR inhibitor sequences.
aSynthetic miRNA were designed to mimic the endogenous miRNA, with ‘+’ indicating the mature miRNA strand, and ‘–’ indicating the passenger strand.
bnti-miR inhibitor oligonucleotides were designed complementary to the mature miRNA, with LNA-modified nucleotides preceded by a ‘∧’ symbol.
Previous Document: Characterization of isoenzyme-selective inhibitors of human sphingosine kinases.
Next Document: SU5416, a VEGF receptor inhibitor and ligand of the AHR, represents a new alternative for immunomodu...