Amiloride modulates alternative splicing in leukemic cells and re-sensitizes Bcr-AblT315I mutant cells to imatinib
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: wen-hsin chang
PROVIDER: E-GEOD-24976 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Amiloride modulates alternative splicing in leukemic cells and resensitizes Bcr-AblT315I mutant cells to imatinib.
Chang Wen-Hsin WH Liu Ta-Chih TC Yang Wen-Kuang WK Lee Chien-Chih CC Lin Yi-Hsiung YH Chen Tsai-Yun TY Chang Jan-Gowth JG
Cancer research 20110111 2
The antihypertensive drug amiloride is being considered as a tactic to improve cancer therapy including that for chronic myelogenous leukemia. In this study, we show that amiloride modulates the alternative splicing of various cancer genes, including Bcl-x, HIPK3, and BCR/ABL, and that this effect is not mainly related to pH alteration, which is a known effect of the drug. Splice modulation involved various splicing factors, with the phosphorylation state of serine-arginine-rich (SR) proteins al ...[more]
Similar Datasets
Project description:While blood transcriptional profiling has improved diagnosis and understanding of disease pathogenesis of adult tuberculosis (TB), no studies applying gene expression profiling of children with TB have been described so far. In this study, we have compared whole blood gene expression in childhood TB patients, as well as in healthy latently infected (LTBI) and uninfected (HC) children in a cohort of Warao Amerindians in the Delta Amacuro in Venezuela. We identified a 116-gene signature set by means of random forest analysis that showed an average prediction error of 11% for TB vs. LTBI and for TB vs. LTBI vs. HC in our dataset. Furthermore, a minimal set of only 9 genes showed a significant predictive value for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. Additionally, a minimal gene set of 42 genes with a comparable predictive value to the 116-gene set in both our dataset and the previously published literature cohorts for the comparsion of TB vs. LTBI vs. HC was identified. In order to identify a robust representative gene set that would hold stand among different ethnic populations, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these ten genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to diagnose 78% of the TB cases correctly with 100% specificity. We conclude that our data justify the further exploration of our signature set as biomarkers to diagnose childhood TB. Furthermore, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts. In this study, 27 children 1 to 15 years of age with TB (n=9), LTBI (n=9) and HC (n=9) were recruited between May 2010 and December 2010. Tuberculin skin test (TST) and QuantiFERON-TB Gold In-Tube assay (QFT-GIT) were performed on all children. A sputum sample was collected from all children with expectoration and a gastric aspirate was taken from all children under 6 years of age. Children with active TB were diagnosed based on culture of M. tuberculosis (n=2) or on the basis of clinical, epidemiological and radiological features (n=7). The latter group were children with a TST = 10 mm or a positive QFT-GIT result who presented all of: persistent fever >38M-BM-0C objectively recorded daily for at least two weeks, persistent cough for more than three weeks, weight loss (>5% reduction in weight compared with the highest weight recorded in last three months) or failure to thrive (documented crossing of percentile lines in the preceding three months), persistent lethargy or decrease in playfulness/activity reported by the parent and absence of clinical response on broad-spectrum antibiotics. Standard antero-posterior and lateral chest radiographs (CXRs) were taken from all children. Two independent experts, blinded to all clinical information, evaluated the CXRs and documented their findings on a standard report form. Where the two objective experts disagreed, a third expert was consulted and final consensus was achieved. A diagnosis of TB was only made when the CXR was consistent with TB9 and the child showed a positive clinical response to anti-TB treatment. Children were followed up clinically, radiologically and, in case of a negative TST at inclusion, by means of TST at six and 12 months after inclusion. LTBI was defined as a TST = 10mm and a positive QFT-GIT with a negative culture result on inclusion in the absence of radiological and clinical evidence of TB disease on inclusion as well as on t=6 and t=12 months. HC were children with a TST = 0 mm at inclusion and at t=6 and t=12 months. The HC had a negative QFT-GIT and a negative culture result at inclusion without radiological or clinical evidence of TB disease on inclusion nor on t=6 and t=12 months. TB patients were sampled before initiation of anti-TB treatment. Of three of the nine TB patients, a follow-up sample was taken when the patient was in anti-TB treatment for five months. All children were HIV-negative. 27 samples in total where analyzed, active TB infection (TB, n=9), Latent TB infection (LTBI, n=9) and healthy controls (HC, n=9) . Gene expression values were log2-transformed and differentially expressed genes were identified based on log2 fold changes (M-values). P values were calculated with a Bayes-regularized one-way ANOVA. Random Forest recursive feature elimination was used to find a signature geneset capable of discrimination active TB from latent TB and from non-infected individuals.
2013-02-05 | E-GEOD-41055 | biostudies-arrayexpress
Project description:Screening small molecules and drugs for activity to modulate alternative splicing, we found that amiloride, distinct from four other intracellular pH-affecting analogues, could “normalize” the splicing of BCL-X, HIPK3 and RON/MISTR1 transcripts in human hepatocellular carcinoma Huh-7 cells. To elucidate the underlying mechanisms, our proteomic analyses of amiloride-treated cells detected hypo-phosphorylation of splicing factor SF2/ASF and also decreased levels of SRp20 and two un-identified SR proteins. We further observed decreased phosphorylation of AKT, ERK1/2 and PP1, while increased phosphorylation of p38 and JNK, suggesting that amiloride treatment down-regulated kinases and up-regulated phosphatases in the signal pathways known to affect the splicing factor protein phosphorylation. The amiloride effects of splicing factor protein hypo-phosphorylation and“normalized”oncogenic RNA splicing were both abrogated by pre-treatment with a PP1 inhibitor. We then performed global exon array analysis of Huh-7 cells treated with amiloride for 24 hours. Using gene array chips (Affymetrix GeneChip® Human Exon 1.0 ST Array of >518000 exons of 42974 genes) for exon array analysis (set parameters of correlation coefficient ≥ 0.7, splicing index ≤ -1.585 , and log2 ratio ≤ -1.585), we found that amiloride influenced the splicing patterns of 551 genes involving at least 584 exons, which included 495 known protein-coding genes involving 526 exons, many of which play key roles in functional networks of ion transport, extracellular matrix, cytoskeletons and genome maintenance. Cellular functional analyses revealed subsequent invasion and migration defects, cell cycle disruption, cytokinesis impairment, and lethal DNA degradation in amiloride-treated Huh-7 cells. This study thus provides mechanistic underpinnings for exploiting small molecule modulation of abnormal RNA splicing for cancer therapeutics. Target was prepared from 3 biological replicates of 0.5mM amiloride-treatment for 24hr and 3 control untreatment from Huh7 cell line and hybridized to the Affymetrix Human Exon 1.0 ST Array. The values of the hybridized probesets were normalized and analyzed for gene expression using dChip2010 software.
2011-03-31 | E-GEOD-24581 | biostudies-arrayexpress
Project description:Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh). We used expression microarrays to measure polysome association and total RNA abundance in E2 treated MCF7. These data, along with previously published data, show that genes that are upregulated by estrogen treatment are biased towards association with polysomes. MCF7 cells were grown in hormone depleted media for three days before a 1 hour treatment with E2 or 0.1 % ethanol (vehicle). Total RNA was collected using standard methods and polysome-association RNA from the same cells were collected using sucrose gradient fractionation. Both RNA populations were purified, labeled, and hybridized to Affymetrix Human Genest arrays.
2010-05-07 | E-GEOD-18592 | biostudies-arrayexpress
Project description:We have discovered that amiloride can produce a genome-wide effect on alternative splicing of various RNA transcripts, most importantly including those of the apoptotic factors, in K562 leukemic cells.
2012-09-17 | GSE24976 | GEO
Project description:RNA helicases DDX5 and DDX17 are members of a large family of highly conserved proteins involved in gene expression regulation, although their in vivo targets and activities in biological processes like cell differentiation, that requires reprogramming of gene expression programs at multiple levels, are not well characterized. In this report, we uncovered a new mechanism by which DDX5 and DDX17 cooperate with hnRNP H/F splicing factors to define epithelial- and myoblast-specific splicing subprograms. We next observed that downregulation of DDX5 and DDX17 protein expression during epithelial to mesenchymal transdifferentiation and during myogenesis contributes to switching splicing programs during these processes. Remarkably, this downregulation is mediated by the production of microRNAs induced upon differentiation in a DDX5/DDX17-dependent manner. Since DDX5 and DDX17 also function as coregulators of master transcriptional regulators of differentiation, we propose to name these proteins M-bM-^@M-^\master orchestratorsM-bM-^@M-^] of differentiation, that dynamically orchestrate several layers of gene expression. 6 samples of MCF7 cells exposed to different treatments were analyzed: 3 x siCTRLM-BM- ; 3 x si(DDX5-17) AND 6 samples of MCF10 cells exposed to different treatments were analyzed: 3 x siCTRLM-BM- ; 3 x si(DDX5-17)
2014-05-06 | E-GEOD-57281 | biostudies-arrayexpress
Project description: Not available
| S-EPMC7319929 | biostudies-literature
Project description:Chronic myeloid leukemia (CML) epitomizes successful targeted therapy, with 86% of patients in the chronic phase treated with tyrosine kinase inhibitors (TKIs) attaining remission. However, resistance to TKIs occurs during treatment, and patients with resistance to TKIs progress to the acute phase called Blast Crisis (BC), wherein the survival is restricted to 7-11 months. About 80 % of patients in BC are unresponsive to TKIs. This issue can be addressed by identifying a molecular signature which can predict resistance in CML-CP prior to treatment as well as by delineating the molecular mechanism underlying resistance. Herein, we report genomic analysis of CML patients and imatinib-resistant K562 cell line to achieve the same. WGS was performed on imatinib-sensitive and -resistant K562 cells. Library preparation was done by 30x WGS KAPA PCR-Free v2.1 kit, and Illumina HiSeq X sequencer was used for 2 x 150 bp paired-end sequencing. Our study identified accumulation of aberrations on chromosomes 1, 3, 7, 16 and 22 as predictive of occurrence of resistance. Further, recurrent amplification in chromosomal region 8q11.2-12.1 was detected in highly resistant K562 cells as well as CML patients. The genes present in this region were analyzed to understand molecular mechanism of imatinib resistance.
2024-01-01 | E-MTAB-11896 | biostudies-arrayexpress
Project description:Transcripitonal profiling of Saccharomyces cerevisiae treated with 2% n-alkanes vs untreatment
2015-04-07 | GSE38653 | GEO
Project description:Our objective is to decipher a miRNA expression signature associated with Chronic myeloid leukemia (CML), with or without Imatinib or Dasatinib and compared to normal blood leukocytes, and to determine potential target genes and signaling pathways affected by these signature miRNAs. Background/Aims: MicroRNAs (miRNAs) are short non-coding regulatory RNAs that control gene expression and play an important role in cancer development and progression. However, little is known about the role of miRNAs in chronic myeloid leukemia (CML). Our objective is to decipher a miRNA expression signature associated with CML and to determine potential target genes and signaling pathways affected by these signature miRNAs. Results: Using miRNA microarrays we characterized the miRNAs expression profile of K562 cells in reference to healthy blood. We also looked into the expression profile of K562 cells treated with imatinib or dasatinib. We identified a miRNA signature that distinguishes K562 cells from healthy blood that included downregulation of miRNAs such as miR-31, miR-34a, miR-143, miR-145, miR-155, miR-196b and miR-564 and upregulation of miR-128. We also identified a miRNA signature that distinguishes untreated K562 cells from the treated ones that included downregulation of miRNAs such as miR-128 and upregulation of miR-564. Results: Using miRNA microarrays we characterized the miRNAs expression profile of K562 cells in reference to healthy blood. We also looked into the expression profile of K562 cells treated with imatinib or dasatinib. We identified a miRNA signature that distinguishes K562 cells from healthy blood that included downregulation of miRNAs such as miR-31, miR-34a, miR-143, miR-145, miR-155, miR-196b and miR-564 and upregulation of miR-128. We also identified a miRNA signature that distinguishes untreated K562 cells from the treated ones that included downregulation of miRNAs such as miR-128 and upregulation of miR-564. We next analyzed predicted targets and affected pathways of the deregulated miRNAs. Reassuringly, the analysis identified CML as the main disease associated with these miRNAs. MAPK, TGF-beta and Wnt were the main molecular pathways related with these expression patterns. Utilizing Venn diagrams we found appreciable overlap between the CML-related miRNAs and the MAPK and TGF-beta signaling pathways and focal adhesion-related miRNAs. Conclusions: The miRNAs identified in this study might offer a pivotal role in CML. Nevertheless, while these data point to a central disease, the precise molecular pathway/s targeted by these miRNAs is variable implying a high level of complexity of miRNA target selection and regulation. These deregulated miRNAs highlight new candidate gene targets allowing for a better understanding of the molecular mechanism underlying the development of CML, and propose possible new avenues for therapeutic treatment. MiRNA profiling of CML: With the objective of deciphering a potential miRNA expression signature associated with CML, we analyzed the miRNAs expression profile of K562 in reference to a pool of 3 healthy blood samples using an miRNA-based microarray chip assay. In addition, to search for Bcr-Abl-dependent or Src-dependant miRNA expression patterns, K562 cells were treated or not with imatinib or with dasatinib to inhibit Bcr-Abl tyrosine kinase activity or Bcr-Abl and Src tyrosine kinase activity, respectively. In order to validate the microarray data and to ensure that the variability observed among samples was not technical, we carried out Taqman miRNA quantitative real-time PCR analysis (Applied Biosystems, USA) on miRNAs that we find to be most relevant, according to bioinformatics analysis (see below) and published data.
2011-10-20 | E-GEOD-28825 | biostudies-arrayexpress
Project description:Xenograft ovarian tumors are useful model to test therapeutic candidates in vivo. We used microarrays to gain insight into the expression changes during tumor growth and induced by the vitamin D analog, MT19C at multiple time points. SKOV-3 cells were grown in 10% FBS/DMEM before injection into mice. Total RNA was collected using standard methods.
2011-03-01 | E-GEOD-23616 | biostudies-arrayexpress