Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA profile of DLBCL

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE15142: Copy number abnormality, MYC activity and the genetic fingerprint of normal B-cells and the microRNA profile of DLBCL-21 GSE15177: Copy number abnormality, MYC activity and the genetic fingerprint of normal B-cells and the microRNA profile of DLBCL-77 Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Cheng Li

PROVIDER: E-GEOD-15225 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Copy number abnormalities, MYC activity, and the genetic fingerprint of normal B cells mechanistically define the microRNA profile of diffuse large B-cell lymphoma.

Li Cheng C Kim Sang-Woo SW Rai Deepak D Bolla Aswani R AR Adhvaryu Siddharth S Kinney Marsha C MC Robetorye Ryan S RS Aguiar Ricardo C T RC

Blood 20090310 26

MicroRNA (miRNA) deregulation contributes to cancer pathogenesis. However, analysis of miRNAs in diffuse large B-cell lymphoma (DLBCL) has been hindered by a focus on cell lines, limited number of miRNAs examined, and lack of copy number data. To address these restrictions, we investigated genomewide miRNA expression and copy number data in 86 DLBCLs. Permutation analysis showed that 63 miRNAs were recurrently disrupted in DLBCL, including highly expressed oncomirs not previously linked to chrom ...[more]

PMID: 19278952

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Project description:A better understanding of the pathogenesis of diffuse large B-cell lymphoma (DLBCL) has clarified its relationship to normal B-cells, pointed to distinct mechanisms of cell transformation, and facilitated the design of novel treatments. However, these data derive from mRNA genes studies, whereas genome-wide integrative investigations of the role of microRNAs (miRNAs) in DLBCL are still unavailable. We used array-CGH and microarray-based expression analyses to map the abnormalities targeting miRNAs in DLBCLs (n=86). Using training and validation DLBCL cohorts, we defined a collection of miRNAs that robustly segregates these tumors in three unique subsets. This miRNA-driven substructure appears to influence disease outcome, is independent of other mRNA-based DLBCL classifications, and stems from copy number changes targeting the miRNA genome, MYC activity, and the miRNA fingerprints of mature normal B-cells. Our data have uncovered clinically relevant additional molecular complexity in DLBCL and have established a blueprint for the detailed characterizations of miRNAs that are pertinent to B-cell lymphoma biology. Fifty-nine primary DLBCL samples obtained from our Cancer Center tumor bank and 27 cell lines (26 DLBCL and 1 mediastinal B-cell lymphoma) were included in this study for copy number analysis. The clinical and pathological features of this collection are described in the paper. All tumors were reviewed for diagnostic accuracy by a hematopathologist (R.R.) and the categorization in germinal center B-cell-like (GCB) or non-germinal center B-cell-like (non-GCB) was performed according to the algorithm described by Hans et al. The extent of normal cells infiltration in the DLBCL was determined by semi-quantitative measurement of CD3 (T-cells) and CD68 (macrophages) staining. Four normal control hybridizations are also included. Even though we started off with 90 samples total, we inspected the sample quality visually according the log2 ratio curves and excluded 13 samples with noisy or very low signals throughout the genome. The 77 remaining samples were used in the following analyses.

Project description:The extraocular muscles (EOMs) are a unique group of muscles that are anatomically and physiologically distinct from other skeletal muscles. Previously, we and others have shown that EOMs have a unique transcriptome and proteome. Here, we investigated the expression pattern of microRNAs (miRNAs) in EOM, as they may play a role in generating the unique EOM allotype. We screened LC Sciences miRNA microarrays covering the sequences of miRBase 10.0 to define the microRNAome of normal mouse EOM and tibialis anterior (TA) limb muscle. 74 miRNAs were found to be differentially regulated (p-value < 0.05) and 31 miRNAs (14 up-regulated and 17 down-regulated) were found to be differentially regulated at a signal strength > 500 including the muscle-specific miR-206, miR-1, miR-133a, miR-133b and miR-499. qPCR analysis was used to validate the differential expression. Bioinformatic tools were used to identify potential miRNA-mRNA-protein interactions and integrate data with previous transcriptome and proteomic profiling data. Luciferase assays using co-transfection of precursor miRNAs (pre-miRNAs) along with reporter constructs containing the 3â-untranslated region (3âUTR) of their predicted target genes were used to validate targeting by identified miRNAs. The definition of the EOM microRNAome complements existing transcriptome and proteome data about the molecular make-up of EOM and provides further insight into regulation of muscle genes. These data will also help to further explain the unique EOM muscle allotype and its differential sensitivity to diseases such as Duchenne's muscular dystrophy (DMD) and may assist in development of therapeutic strategies. Total RNA from four EOM and four TA tissue samples dissected from four adult male C57/Bl10 mice were used (TA served as control) to screen four LC Sciences microRNA Microarray chips. The chips contained microRNA sequences based on miRBase content 10.0 totalling 568 different miRNAs. Samples were labelled with Cy3 and Cy5 using dye-swap. Relative differences of miRNA expression was expressed as fold-changes EOM/TA, which were calculated after normalization across all four arrays.

Dataset Information

MicroRNA profile of DLBCL

Publications

Copy number abnormalities, MYC activity, and the genetic fingerprint of normal B cells mechanistically define the microRNA profile of diffuse large B-cell lymphoma.

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