作者: Domenica Ronchetti , Marta Lionetti , Laura Mosca , Luca Agnelli , Adrian Andronache
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摘要: The role of microRNAs (miRNAs) in multiple myeloma (MM) has yet to be fully elucidated. To identify miRNAs that are potentially deregulated MM, we investigated those mapping within transcription units, based on evidence intronic frequently coexpressed with their host genes. this end, monitored transcript expression values a panel 20 human MM cell lines (HMCLs) and focused transcripts whose varied significantly across the dataset. miRNA was quantified by Quantitative Real-Time PCR. Gene genome profiling data were generated Affymetrix oligonucleotide microarrays. Significant Analysis Microarrays algorithm used investigate differentially expressed transcripts. Conventional statistics test correlations for significance. Public libraries queried predict putative targets. We identified specific six genes (CCPG1, GULP1, EVL, TACSTD1, MEST, TNIK) average changes at least 2-fold from mean examined evaluated levels corresponding significant correlation between GULP1 miR-335, miR-342-3p, miR-561, respectively. Genome-wide HMCLs indicated increased three not correlated local copy number variations. Notably, overexpressed fraction primary tumors respect normal plasma cells; however, finding known molecular groups. predicted targets transcriptional profiles associated suggest MEST/miR-335 EVL/miR-342-3p may play homing and/or interactions bone marrow microenvironment. Our support idea regulated dependently, contribute understanding biological roles cancer. our knowledge, is first providing insights lead identification new biomarkers altered pathways disease.