In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma

被引：15

作者：

Ronchetti, Domenica ^{[1
,2
]}

Manzoni, Martina ^{[1
,2
]}

Todoerti, Katia ^{[3
]}

Neri, Antonino ^{[1
,2
]}

Agnelli, Luca ^{[1
,2
]}

机构：

[1] Univ Milan, Dept Oncol & Hematooncol, I-20122 Milan, Italy

[2] Osped Maggiore Policlin, Hematol Unit, Fdn IRCCS Ca Granda, I-20122 Milan, Italy

[3] IRCCS CROB, Referral Canc Ctr Basilicata, Lab Preclin & Translat Res, I-85028 Rionero In Vulture, PZ, Italy

来源：

GENES | 2016年 / 7卷 / 12期

关键词：

multiple myeloma; lncRNA; miRNA; MOLECULAR CLASSIFICATION; CROSS-TALK; EXPRESSION; NETWORK; CANCER; OVEREXPRESSION; IDENTIFICATION; MICRORNAS; SUBTYPES; PATTERN;

D O I：

10.3390/genes7120107

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNA (ceRNA) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed a significant correlation between lncRNA and miRNA expression levels, we identified 11 lncRNA-miRNA relationships suggestive of a novel ceRNA network with relevance in MM.

引用

页数：8

共 42 条

[1] Molecular classification of multiple myeloma:: A distinct transcriptional profile characterizes patients expressing CCND1 and negative for 14q32 translocations [J].