Genome-wide identification of human microRNAs located in leukemia-associated genomic alterations.

Cytogenetic alterations, such as amplifications, deletions, or translocations, contribute to myeloid malignancies. MicroRNAs (miRNAs) have emerged as critical regulators of hematopoiesis, and their aberrant expression has been associated with leukemia. Genomic regions containing sequence alterations and fragile sites in cancers are enriched with miRNAs; however, the relevant miRNAs within these regions have not been evaluated on a global basis. Here, we investigated miRNAs relevant to acute myeloid leukemia (AML) by (1) mapping miRNAs within leukemia-associated genomic alterations in human AML cell lines by high-resolution genome arrays and (2) evaluating absolute expression of these miRNAs by massively parallel small RNA sequencing. Seventy-seven percent (542 of 706) of miRNAs mapped to leukemia-associated copy-number alterations in the cell lines; however, only 18% (99 of 542) of these miRNAs are expressed above background levels. As evidence that this subset of miRNAs is relevant to leukemia, we show that loss of 2 miRNAs identified in our analysis, miR-145 and miR-146a, results in leukemia in a mouse model. Small RNA sequencing identified 28 putative novel miRNAs, 18 of which map to leukemia-associated copy-number alterations. This detailed genomic and small RNA analysis points to a subset of miRNAs that may play a role in myeloid malignancies.

[1]  Ryan D. Morin,et al.  Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells. , 2008, Genome research.

[2]  D. Bartel MicroRNAs Genomics, Biogenesis, Mechanism, and Function , 2004, Cell.

[3]  Bob Löwenberg,et al.  MicroRNA expression profiling in relation to the genetic heterogeneity of acute myeloid leukemia. , 2008, Blood.

[4]  U. Germing,et al.  Biological and Prognostic Significance of Chromosome 5q Deletions in Myeloid Malignancies , 2006, Clinical Cancer Research.

[5]  C. Croce,et al.  Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Stijn van Dongen,et al.  miRBase: tools for microRNA genomics , 2007, Nucleic Acids Res..

[7]  Bradley P. Coe,et al.  A tiling resolution DNA microarray with complete coverage of the human genome , 2004, Nature Genetics.

[8]  S. Lowe,et al.  p53 loss promotes acute myeloid leukemia by enabling aberrant self-renewal. , 2010, Genes & development.

[9]  Barbara Jarzab,et al.  Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinoma , 2008, Proceedings of the National Academy of Sciences.

[10]  C. Sander,et al.  A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing , 2007, Cell.

[11]  Ryan D. Morin,et al.  Identification of miR-145 and miR-146a as mediators of the 5q– syndrome phenotype , 2010, Nature Medicine.

[12]  Aadel A. Chaudhuri,et al.  Sustained expression of microRNA-155 in hematopoietic stem cells causes a myeloproliferative disorder , 2008, The Journal of experimental medicine.

[13]  Rolf Backofen,et al.  IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions , 2008, Bioinform..

[14]  M. Caligiuri,et al.  MicroRNA expression in cytogenetically normal acute myeloid leukemia. , 2008, The New England journal of medicine.

[15]  George A Calin,et al.  MicroRNA signatures associated with cytogenetics and prognosis in acute myeloid leukemia. , 2008, Blood.

[16]  A. Schambach,et al.  MN1 overexpression induces acute myeloid leukemia in mice and predicts ATRA resistance in patients with AML. , 2007, Blood.

[17]  Ryan M. O’Connell,et al.  MicroRNAs: new regulators of immune cell development and function , 2008, Nature Immunology.

[18]  J. Cigudosa,et al.  Gains, losses and complex karyotypes in myeloid disorders: a light at the end of the tunnel , 2005, Hematological oncology.

[19]  Calum MacAulay,et al.  SeeGH – A software tool for visualization of whole genome array comparative genomic hybridization data , 2004, BMC Bioinformatics.

[20]  Malachi Griffith,et al.  In-depth characterization of the microRNA transcriptome in a leukemia progression model. , 2008, Genome research.

[21]  A. Telenius,et al.  High-resolution whole genome tiling path array CGH analysis of CD34+ cells from patients with low-risk myelodysplastic syndromes reveals cryptic copy number alterations and predicts overall and leukemia-free survival. , 2008, Blood.

[22]  B. Quesnel,et al.  p53 mutations are associated with resistance to chemotherapy and short survival in hematologic malignancies. , 1994, Blood.

[23]  Martin M Matzuk,et al.  Mouse let-7 miRNA populations exhibit RNA editing that is constrained in the 5'-seed/ cleavage/anchor regions and stabilize predicted mmu-let-7a:mRNA duplexes. , 2008, Genome research.

[24]  C. Buske,et al.  Induction of acute myeloid leukemia in mice by the human leukemia-specific fusion gene NUP98-HOXD13 in concert with Meis1. , 2003, Blood.

[25]  Herbert H. Tsang,et al.  Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications , 2009, Nucleic acids research.

[26]  Yingdong Zhao,et al.  Analysis of Gene Expression Data Using BRB-Array Tools , 2007, Cancer informatics.

[27]  K. Döhner,et al.  High meningioma 1 (MN1) expression as a predictor for poor outcome in acute myeloid leukemia with normal cytogenetics. , 2006, Blood.