A systematic evaluation of miRNA:mRNA interactions involved in the migration and invasion of breast cancer cells.
A systematic evaluation of miRNA:mRNA interactions involved in the migration and invasion of breast cancer cells.
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乳腺癌细胞迁移和侵袭过程中 miRNA:mRNA 相互作用的系统评估
DOI:
10.1186/1479-5876-11-57
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发表时间:
2013-03-05
影响因子:
7.4
通讯作者:
Shi H
中科院分区:
文献类型:
--
作者:
Luo D;Wilson JM;Harvel N;Liu J;Pei L;Huang S;Hawthorn L;Shi H
In this study we performed a systematic evaluation of functional miRNA-mRNA interactions associated with the invasiveness of breast cancer cells using a combination of integrated miRNA and mRNA expression profiling, bioinformatics prediction, and functional assays. Analysis of the miRNA expression identified 11 miRNAs that were differentially expressed, including 7 down-regulated (miR-200c, miR-205, miR-203, miR-141, miR-34a, miR-183, and miR-375) and 4 up-regulated miRNAs (miR-146a, miR-138, miR-125b1 and miR-100), in invasive cell lines when compared to normal and less invasive cell lines. Transfection of miR-200c, miR-205, and miR-375 mimics into MDA-MB-231 cells led to the inhibition ofin vitrocell migration and invasion. The integrated analysis of miRNA and mRNA expression identified 35 known and novel target genes of miR-200c, miR-205, and mir-375, includingCFL2,LAMC1,TIMP2,ZEB1,CDH11,PRKCA,PTPRJ,PTPRM,LDHB, andSEC23A. Surprisingly, the majority of these genes (27 genes) were target genes of miR-200c, suggesting that miR-200c plays a pivotal role in regulating the invasiveness of breast cancer cells. We characterized one of the target genes of miR-200c,CFL2, and demonstrated thatCFL2is overexpressed in aggressive breast cancer cell lines and can be significantly down-regulated by exogenous miR-200c. Tissue microarray analysis further revealed that CFL2 expression in primary breast cancer tissue correlated with tumor grade. The results obtained from this study may improve our understanding of the role of these candidate miRNAs and their target genes in relation to breast cancer invasiveness and ultimately lead to the identification of novel biomarkers associated with prognosis.
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影响因子:
46.9
作者:
Ma L;Reinhardt F;Pan E;Soutschek J;Bhat B;Marcusson EG;Teruya-Feldstein J;Bell GW;Weinberg RA
通讯作者:
Weinberg RA
影响因子:
3.7
作者:
Al-Alwan M;Olabi S;Ghebeh H;Barhoush E;Tulbah A;Al-Tweigeri T;Ajarim D;Adra C
通讯作者:
Adra C
影响因子:
11.2
作者:
Hurst DR;Edmonds MD;Scott GK;Benz CC;Vaidya KS;Welch DR
通讯作者:
Welch DR
影响因子:
3.7
作者:
Enerly E;Steinfeld I;Kleivi K;Leivonen SK;Aure MR;Russnes HG;Rønneberg JA;Johnsen H;Navon R;Rødland E;Mäkelä R;Naume B;Perälä M;Kallioniemi O;Kristensen VN;Yakhini Z;Børresen-Dale AL
通讯作者:
Børresen-Dale AL
影响因子:
4.3
作者:
Hurteau, Gregory J.;Spivack, Simon D.;Brock, Graham J.
通讯作者:
Brock, Graham J.