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Plasma cells from 52 patients with multiple myeloma: mRNA and miRNA expression profiling

ABSTRACT: We used microarray analyses of patient myeloma cells (n=52) to correlate individual miRNA expression profiles with GEP-based risk defined by mRNA expression profilesx as well as clinical features of the disease. Unlike for mRNAs, genome-wide elevation of miRNA expression patterns were significantly positively associated with a mRNA-based GEP-risk score (P <.01) and proliferation index (P <.05). Consistent with our observation of global deregulation of miRNA expression profiles, silencing EIF2C2/AGO2, a gene component of the mRNA-based high-risk signature and a master regulator of the genesis and functionality of all miRNAs, dramatically decreased viability in myeloma cell lines.

ORGANISM(S): Homo sapiens

PROVIDER: GSE17306 | GEO | 2010/03/26

SECONDARY ACCESSION(S): PRJNA118969

REPOSITORIES: GEO

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Plasma cells from 52 patients with multiple myeloma: mRNA and miRNA expression profiling

Project description:We used microarray analyses of patient myeloma cells (n=52) to correlate individual miRNA expression profiles with GEP-based risk defined by mRNA expression profilesx as well as clinical features of the disease. Unlike for mRNAs, genome-wide elevation of miRNA expression patterns were significantly positively associated with a mRNA-based GEP-risk score (P <.01) and proliferation index (P <.05). Consistent with our observation of global deregulation of miRNA expression profiles, silencing EIF2C2/AGO2, a gene component of the mRNA-based high-risk signature and a master regulator of the genesis and functionality of all miRNAs, dramatically decreased viability in myeloma cell lines. mRNA expression profiling: We performed protein-coding gene expression profiles of myeloma cells from newly diagnosed patients with different molecularly defined disease types. miRNA expression profiling: We used microarray analyses of patient myeloma cells (n=52) to correlate individual miRNA expression profiles with GEP-based risk defined by mRNA expression profiles as well as clinical features of the disease.

2010-06-05 | E-GEOD-17306 | biostudies-arrayexpress

Impact of Gene Expression Profiling Based Risk Stratification in Patients with Myeloma Receiving Initial Therapy with Lenalidomide and Dexamethasone

2011-08-26 | GSE31504 | GEO

Treatment of MM cells with IMiDs or reducing the expression of EIF2C2 significantly affects steady-state levels of miRNAs

2016-03-09 | GSE61693 | GEO

Impact of Gene Expression Profiling Based Risk Stratification in Patients with Myeloma Receiving Initial Therapy with Lenalidomide and Dexamethasone

Project description:Detection of specific chromosomal abnormalities by FISH and metaphase cytogenetics allows risk stratification in multiple myeloma (MM); however, gene expression profiling (GEP) based signatures may enable more specific risk categorization. We examined the utility of two GEP-based risk stratification systems among patients undergoing initial therapy with lenalidomide in the context of a phase 3 trial. The E4A03 clinical trial randomized patients with previously untreated MM to lenalidomide and either standard-dose dexamethasone. Baseline bone marrow samples were obtained from consenting patients. The marrow aspirates were subjected to a fully automated ROBOSEP cell separation system that utilizes immunomagnetic technology to positively select for CD 138+ cells. The purity of the sorting was confirmed by 3-color immunofluorescent slide based assessment on the sorted cells. The plasma cell gene expression proﬁles were analyzed using U133 Plus 2.0 array. All samples were run individually with no pooling. The GEP-70 signature was determined as previously described, using log2 transformed raw MAS 5.0 signals. The GEP15 classification was performed as previously described, with the patients in highest quartile for the risk score being considered as high risk.

2011-08-25 | E-GEOD-31504 | biostudies-arrayexpress

Treatment of MM cells with IMiDs or reducing the expression of EIF2C2 significantly affects steady-state levels of miRNAs

Project description:Lenalidomide is a therapeutically active compound that binds to E3 ubiquitin ligase recruiter cereblon (CRBN) and induces cytotoxicity. We have identified eukaryotic translation initiation factor 2 subunit C2 (EIF2C2) as a new member of CRBN-downstream binding protein that plays an important role in microRNA (miRNA) maturation and function. The treatment of immunomodulatory drug (IMiD)-sensitive multiple myeloma (MM) cells with lenalidomide altered the steady-state levels of CRBN, EIF2C2 and miRNAs and induced apoptosis. However, although the treatment of IMiD-resistant MM cells with lenalidomide altered the steady-state levels of CRBN, EIF2C2 and miRNAs, but did not massively induce apoptosis. In contrast, silencing of EIF2C2 with its small hairpin RNA significantly altered the levels of miRNAs and induced apoptosis regardless of whether those cells are sensitive or resistant to IMiDs. Therefore, EIF2C2 could be considered as a new drug target for overcoming IMiDs resistance in MM cells. To find the role of EIF2C2 in MM cell growth, OCI-My5 cell lines My5/LV and My5/CRBN, with low and high CRBN expression, respectively, were treated 12 different ways. The steady-state levels of miRNAs between (1) My5/LV, EIF2C2-shRNA-treated My5/LV and EIF2C2-cDNA-treated My5/LV cells, (2) My5/CRBN, EIF2C2-shRNA-treated My5/CRBN and EIF2C2-cDNA-treated My5/CRBN cells, (3) My5/LV cells, My5/LV cells treated with 10 ÂµM lenalidomide for 72 hours or 120 hours, and EIF2C2-cDNA-treated My5/LV cells treated with 10 ÂµM lenalidomide for 72 hours, and (4) My5/CRBN cells, My5/CRBN cells treated with 10 ÂµM lenalidomide for 72 hours or 120 hours, and EIF2C2-cDNA-treated My5/CRBN cells treated with 10 ÂµM lenalidomide for 72 hours, were compared in this array.

2016-03-09 | E-GEOD-61693 | biostudies-arrayexpress

HLA-C*05:01 and HLA-C*07:02 from 721.221 cells

Project description:HLA-C expresion varies widely across the different HLA-C alleles. MicroRNA binding can partly explain the differences in HLA-C allele expression however other contributing factors still remain undetermined. Here we use two common HLA-C alleles, HLA-C*05:01 and HLA-C*07:02, to explore differences in expression levels. Using functional, structural and peptide repertoire comparisons we demonstrate that HLA-C expression levels are not only modulated at the RNA level but also at the protein level. This dataset contains RAW data and database search results for HLA-C*05:01 and HLA-C*07:02 from the 721.221 cell line.

2017-07-03 | PXD006455 | Pride

476b50f4-b297-43f4-aeca-71d156f38e81 - samples

Project description:There are two datasets: 1. scRNA-seq of human cutaneous immune cells from psoriasis patients. These include pre- and post-Tildrakizumab treated patients and come in a BAM file format. 19006FL-25-01 19006FL-38-01 19006FL-32-01-03 19006FL-33-01 19006FL-28-01-05 19006FL-35-01-01 2. RNA-seq of ZFP36L2 CRISPIR deleted Human T cells are FASTQ files. 19006XR-30-05 19006XR-30-04 19006XR-30-02 19006XR-30-01 19006XR-26-05 19006XR-26-04 19006XR-26-02 19006XR-26-01 19006R-22-04 19006R-22-08 19006R-22-05 19006R-22-01

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MicroRNA profiling of human cholangiocyte H69 cells after culturing with lipopolysaccharide

Project description:H69 cells were cultured in H69 medium with 1 ng/ml lipopolysaccharide(LPS, for smaples 04, 05 and 06) or without LPS(for samples 01, 02 and 03) for 8 hours and then collected for array analysis. <br>

2010-02-11 | E-MEXP-2052 | biostudies-arrayexpress

Clonal competition with alternating dominance in multiple myeloma

Project description:This SuperSeries is composed of the following subset Series: GSE36822: Clonal competition with alternating dominance in multiple myeloma [244kCGH] GSE36823: Clonal competition with alternating dominance in multiple myeloma [44kCGH] GSE36824: Clonal competition with alternating dominance in multiple myeloma [GEP] Refer to individual Series

2012-03-27 | E-GEOD-36825 | biostudies-arrayexpress

miRNA profiling of multiple myeloma, MGUS, multiple myeloma cell lines and normal plasma cells

Project description:miRNA profiling in multiple myeloma - microRNAs represent a class of noncoding regulators of gene expression implicated in several biological and pathophysiological processes, including cancer. We investigate here their role in multiple myeloma using miChip-arrays interrogating 559 miRNAs in 92 purified myeloma-, MGUS-, normal plasma cell- and myeloma cell line samples. Impact on gene expression is assessed by Affymetrix U133 2.0 DNA-microarrays in 741 samples including two cohorts of 332 and 345 myeloma patients; chromosomal aberrations are assessed by iFISH, survival for 247 and 345 patients undergoing up-front high-dose therapy and autologous stem cell transplantation. Compared to normal plasma cells, 67/559 (12%) miRNAs are differentially expressed with fold changes of 4.6 to -3.1 in myeloma-, 20 (3.6%) in MGUS-samples, and three (0.5%) between MGUS- and myeloma-samples. Expression of miRNAs is associated with biological and pathophysiological parameters, i.e. proliferation, chromosomal aberrations, e.g. t(4;14), tumor mass, and gene expression-based high-risk scores. This holds true for target-gene signatures of regulated mRNAs. miRNA-expression confers prognostic significance for event-free (72/559) and overall survival (69/559), as do respective target-gene signatures. In conclusion, the miRNome of myeloma confers a pattern of small changes of individual miRNAs compared to normal plasma cells impacting on gene expression, biological functions, and survival.

2014-01-09 | E-MTAB-1363 | biostudies-arrayexpress

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