MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression.
MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression.
复制标题
DOI:
10.1093/nar/gkp294
复制
发表时间:
2009-07
影响因子:
14.9
通讯作者:
Nephew KP
中科院分区:
文献类型:
--
作者:
Nam S;Li M;Choi K;Balch C;Kim S;Nephew KP
MicroRNAs (miRNAs) are small (19–24 nt), nonprotein-coding nucleic acids that regulate specific ‘target’ gene products via hybridization to mRNA transcripts, resulting in translational blockade or transcript degradation. Although miRNAs have been implicated in numerous developmental and adult diseases, their specific impact on biological pathways and cellular phenotypes, in addition to miRNA gene promoter regulation, remain largely unknown. To improve and facilitate research of miRNA functions and regulation, we have developed MMIA (microRNA and mRNA integrated analysis), a versatile and user-friendly web server. By incorporating three commonly used and accurate miRNA prediction algorithms, TargetScan, PITA and PicTar, MMIA integrates miRNA and mRNA expression data with predicted miRNA target information for analyzing miRNA-associated phenotypes and biological functions by gene set analysis, in addition to analysis of miRNA primary transcript gene promoters. To assign biological relevance to the integrated miRNA/mRNA profiles, MMIA uses exhaustive human genome coverage, including classification into various disease-associated genes as well as conventional canonical pathways and Gene Ontology. In summary, this novel web server (cancer.informatics.indiana.edu/mmia) will provide life science researchers with a valuable tool for the study of the biological (and pathological) causes and effects of the expression of this class of interesting protein regulators.
登录
查看更多内容
影响因子:
64.5
作者:
Marson A;Levine SS;Cole MF;Frampton GM;Brambrink T;Johnstone S;Guenther MG;Johnston WK;Wernig M;Newman J;Calabrese JM;Dennis LM;Volkert TL;Gupta S;Love J;Hannett N;Sharp PA;Bartel DP;Jaenisch R;Young RA
通讯作者:
Young RA
影响因子:
14.9
作者:
Jiang Q;Wang Y;Hao Y;Juan L;Teng M;Zhang X;Li M;Wang G;Liu Y
通讯作者:
Liu Y
影响因子:
30.8
作者:
Krek, A;Grun, D;Rajewsky, N
通讯作者:
Rajewsky, N
影响因子:
20.1
作者:
Divakaran V;Mann DL
通讯作者:
Mann DL
影响因子:
30.8
作者:
Kertesz, Michael;Iovino, Nicola;Segal, Eran
通讯作者:
Segal, Eran