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Distinctive microRNA expression profile and potential funtional role in K562 cells

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE28825 | GEO | 2011/10/21

SECONDARY ACCESSION(S): PRJNA138785

REPOSITORIES: GEO

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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.

Project description:Currently, micro RNAs (miRNAs) constitute a promising models for cell-to-cell communication since they are transferred between cells to execute essential roles in many processes. Their structure and size, in addition to various transport mechanisms, allow them to remain stable within various biological fluids, surviving in extremely adverse conditions, including low pH, boiling, and freezing. The presence of miRNAs in reproductive fluids, such as follicular, uterine and seminal fluid, indicate potential roles in the reproductive system. These extracellular miRNAs can be transported by lipoproteins (both HDL and LDL) or other proteins, including Argonaute2 (AGO2) and nucleophosmin1 (NPM1). Another transport system is mediated by extracellular vesicles (EVs), such as apoptotic bodies, microvesicles (MVs) and/or exosome-like vesicles. EVs protect miRNAs from degradation and contribute to their stability within biological fluids. Furthermore, EVs can transport a wide range of components packaged in a selective way. For instance, Squadrito et al. (2014), used macrophages and endothelial cells to demonstrate that the sorting of miRNAs into EVs for heterotrophic cell communication is altered by both, the presence of target transcripts and the self-presence of the respectively miRNA. In addition, the signature of miRNAs found in the exosomes significantly differed for those detected in the parent cells. To date, mechanisms controlling the specific loading of miRNAs into exosomes remain unclear. Indeed, several mechanisms may govern exosome sorting of specific subsets of miRNAs. MiRNA sorting appears to be influenced by different pathways and molecules in different cell types and tissues, and miRNAs contain well defined motifs (i.e., EXOmotifs), that direct the miRNA allocation into exosomes before delivery into recipient cells. A recent study showed that this RNA sequence can be recognized by the sumoylated form of the heterogeneous ribonucleoprotein A2B1 (hnRNPA2B1). Moreover, a terminal 30 nucleotide addition in miRNAs affects their selective sorting in B cells. Another hypothesis suggests that RNAs are selectively sorted depending on the differential affinity of RNA motifs towards the raft-like region of the cytoplasmic surface of microvesicular body (MVB) limiting membranes. Current data indicate that cells can communicate with each other through the transfer of miRNA-loaded exosomes. For example, monocyte-derived exosomes deliver miR-150 to endothelial cells and enhance endothelial cell migration by reducing c-myb expression. The miRNA content of exosomes plays a critical role in such cell-to-cell communication and determines the fate of recipient cells. Thus, exosomes derived from the bone marrow mesenchymal stromal cells of myeloma patients promote tumor growth depending on the content of miR-15a in exosomes. Our group has described a novel cell-to-cell communication mechanism involving the delivery of endometrial miRNAs from the maternal endometrium to the trophectoderm cells of preimplantation embryos. Specifically, in B6C3 derived mouse embryos, we found EV-associated and free miR-30d to cause overexpression of genes involved in embryonic adhesion processes, including Itb3, Itga7 and Cdh5. Furthermore, supplementing murine embryos with miR-30d significantly improved embryo adhesion, suggesting that external miRNAs may have a functional role as transcriptomic modifiers of preimplantation embryos. Based on profiling of miRNAs in endometrial fluid, maternally-derived miRNAs are present within EVs in the uterine microenvironment. The internalization of maternally-derived exosomes has been visualized, but the mechanism by which miR-30d becomes incorporated into exosomes remains unknown. The present study aimed to elucidate the underlying mechanism of hsa-miR-30d transfer from human endometrial epithelial cells (hEECs) to the interior of exosomes and eventually to early-stage blastocysts, using a mir-30d knockout murine mode.

Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mir181_in_muscle) This model is described in the article: Using computer simulation models to investigate the most promising microRNAs to improve muscle regeneration during ageing Carole J. Proctor & Katarzyna Goljanek-Whysall Scientific Reports Abstract: MicroRNAs (miRNAs) regulate gene expression through interactions with target sites within mRNAs, leading to enhanced degradation of the mRNA or inhibition of translation. Skeletal muscle expresses many different miRNAs with important roles in adulthood myogenesis (regeneration) and myofibre hypertrophy and atrophy, processes associated with muscle ageing. However, the large number of miRNAs and their targets mean that a complex network of pathways exists, making it difficult to predict the effect of selected miRNAs on age-related muscle wasting. Computational modelling has the potential to aid this process as it is possible to combine models of individual miRNA:target interactions to form an integrated network. As yet, no models of these interactions in muscle exist. We created the first model of miRNA:target interactions in myogenesis based on experimental evidence of individual miRNAs which were next validated and used to make testable predictions. Our model confirms that miRNAs regulate key interactions during myogenesis and can act by promoting the switch between quiescent/proliferating/differentiating myoblasts and by maintaining the differentiation process. We propose that a threshold level of miR-1 acts in the initial switch to differentiation, with miR-181 keeping the switch on and miR-378 maintaining the differentiation and miR-143 inhibiting myogenesis. This model is hosted on BioModels Database and identified by: MODEL1704110001. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Distinctive microRNA expression profile and potential funtional role in K562 cells

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