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Creb overexpression induces leukemia in zebrafish by blocking myeloid differentiation process

ABSTRACT: To examine the role of CREB overexpression in hematopoiesis, we created a model of leukemia in zebrafish by overexpressing the human CREB in the myeloid hematopoietic lineage. Whole transcriptome analysis of kidney-marrow revealed 171 genes differently expressed between CREB- and control-zebrafish (five per group). Interestingly, the integration of this signature with human deposited data revealed that this tumor resembled a human AML at transcriptome level.

ORGANISM(S): Danio rerio

PROVIDER: GSE71270 | GEO | 2016/12/06

SECONDARY ACCESSION(S): PRJNA290733

REPOSITORIES: GEO

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Project description:Background. The cAMP Response Element Binding Protein, CREB, is a transcription factor that regulates cell proliferation, differentiation, and survival in several model systems, including neuronal and hematopoietic cells. We demonstrated that CREB is overexpressed in acute myeloid and leukemia cells compared to normal hematopoietic stem cells. CREB knockdown inhibits leukemic cell proliferation in vitro and in vivo, but does not affect long-term hematopoietic reconstitution. Therefore, we propose CREB to be a potential target for therapy. To understand downstream pathways regulating CREB, we performed expression profiling with RNA from the K562 myeloid leukemia cell line. Results. By combining our expression data from CREB knockdown cells with prior ChIP data on CREB binding we were able to identify a list of putative CREB regulated genes. We performed extensive analyses on the top genes in this list as high confidence CREB targets. We found that this list is enriched for genes involved in cancer, and unexpectedly, highly enriched for histone genes. Furthermore, histone genes regulated by CREB were more likely to be specifically expressed in hematopoietic lineages. The transcription factor Elk-1 was upregulated in response to CREB deletion. Conclusions. We have identified a high confidence list of CREB targets in K562 cells. These genes allow us to begin to understand the mechanisms by which CREB contributes to acute leukemia. In particular, we speculate that the regulation of histone genes may play an important role in this process, by possibly altering the regulation of DNA replication during the cell cycle. Experiment Overall Design: Cell lines. The following human leukemia cell lines were transduced with shRNAs: K562 (Iscoves + 10% FCS) and TF-1 (RPMI + 10%FCS + rhGM-CSF. Cells were cultured at 37oC, 5% CO2 and split every 3 to 4 days. Primary AML bone marrow samples were processed as previously described [12]. All human samples were obtained with approval from the Institutional Review Board and consents were signed, according to the Helsinki protocol. Experiment Overall Design: shRNA sequence design and constructs. The CREB specific shRNA sequences were selected and validated based on accepted parameters established by Tuschl et al. [25-27]; CREB shRNA-1, CREB shRNA-2, CREB shRNA-3. Controls included empty vector, luciferase shRNA, and scrambled shRNA. shRNA sequences are: CREB shRNA-1(5âGCAAATGACAGTTCAAGCCC3â), shRNA-2 (5âGTACAGCTGGCTAACAATGG3â), shRNA-3 (5âGAGAGAGGTCCGTCTAATG3â), Luciferase shRNA (5âGCCATTCTATCCTCTAGAGGA3â), Scramble shRNA (5âGGACGAACCTGCTGAGATAT3â). Short-hairpin sequences were synthesized as oligonucleotides and annealed according to standard protocol. Annealed shRNAs were then subcloned into pSICO-R shRNA vectors from the Jacks laboratory at MIT [28]. The second generation SIN vector HIV-CSCG was used to produce human shRNA vectors [29]. Experiment Overall Design: Microarray analysis. Total RNA (10 Î¼g) was extracted from K562 cells transduced with vector alone or CREB shRNA was submitted to the UCLA DNA Microarray Facility. RNA samples were labeled and hybridized by standard protocol to Affymetrix GeneChip Human Genome U133+ Array Set HG-U133A array. Gene expression values were calculated using the MAS5 software. The expression values are quantile normalized across all arrays. We obtained the expression profiles for a control set and CREB downregulated K562 cells. These are first quantile normalized, and then a t-test is performed between the two groups to identify significantly differentially regulated genes. The analysis was performed using Matlab (Mathworks, Inc.). A normal quantile plot of T is shown in figure qqplot.tiff. Data points with t-scores < 1/(2N) display with red circles, were N is the total number of genes. We therefore see that there are a significant number of differentially expressed genes, which are either direct or indirect targets of CREB.

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Creb overexpression induces leukemia in zebrafish by blocking myeloid differentiation process

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