five

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

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17306
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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.
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2019-03-25
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