Unknown,Transcriptomics,Genomics,Proteomics

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Expression profile of hemin induced erythroid differentiation, over-expressing and knocking-down GATA-1, EKLF and NF-E2 in K562s

ABSTRACT: we profiled miRNA gene expression with the Illumina hybridization system in K562 cells induced by hemin and K562 cells with over-expressing or knocking-down GATA-1, EKLF or NF-E2 treatments. To find differential expression miRNAs, we profiled miRNA gene expression with the Illumina hybridization system in untreated, hemin-treated 48h and 72h K562 cells. To define GATA-1, EKLF or NF-E2 directly targeted miRNA genes, a comprehensive analysis of TF induced miRNA gene expression changes was performed using over-expressing or knocking-down TFs in K562 cells and illumina miRNA profiling Beadchip system.

ORGANISM(S): Homo sapiens

SUBMITTER: Jia Yu

PROVIDER: E-GEOD-30380 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:We previously characterized zinc finger protein gene HZF1 (ZNF16) and demonstrated its important roles in erythroid and megakaryocytic differentiation of K562 cells by loss-function assay. However its effect in erythroid and megakaryocytic differentiation of hematopoietic stem/progenitor cells (HSPCs) and the mechanisms by which it functions have not been understood. In this study, we detected up-regulation of ZNF16 during erythroid and megakaryocytic differentiation of K562 cells and normal CD34+ HSPCs, and demonstrated that ZNF16 promotes erythroid and megakaryocytic differentiation by gain-of-function and loss-of-function experiments. Gene expression profiling by mRNA array and PCR validation in the K562 transforments with ZNF16 over-expression suggested that cell division cycle-associated 7-like gene (JPO2) and v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog gene (c-KIT) were among the genes regulated possibly by ZNF16. Luciferase reporter assay and Chromatin Immunoprecipitation demonstrated that ZNF16 binds to JPO2 and c-KIT promoters and inhibits their expression in K562 cells. A significant decrease of JPO2 and c-KIT levels was observed during erythroid and megakaryocytic differentiation of K562 and CD34+ cells. The knockdown of either JPO2 or c-KIT partially rescued the differentiation inhibition caused by ZNF16 knockdown. We also found that ZNF16 inhibits c-KIT/c-Raf/MEK/ERK/c-Jun/HEY1 signal pathways, which finally up-regulated expression of GATA1, a central regulator of erthroid and megakaryocyte differentiation. By lentivirus-mediated gene transfer, we demonstrated that enforced expression and knockdown of ZNF16 in HSPCs down-regulated and up-regulated expression of its targets respectively. Our data collectively demonstrate that ZNF16 promotes erythropoiesis and megakaryocytopoiesis via its regulation on JPO2 and c-KIT. 4 samples are analyzed, H4-1 and H4-2 are two stable K562 transductants with ZNF16 over-expression, PC1 and PC2 are stable control K562 transductants. Stable K562 transductants were obtained for RNA extraction and hybridization on an Illumina HumanHT-12 V4.0 expression beadchipe xpression Array platform.

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.

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Expression profile of hemin induced erythroid differentiation, over-expressing and knocking-down GATA-1, EKLF and NF-E2 in K562s

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