anamiR: integrated analysis of MicroRNA and gene expression profiling

被引:13
|
作者
Wang, Ti-Tai [1 ]
Lee, Chien-Yueh [1 ]
Lai, Liang-Chuan [2 ]
Tsai, Mong-Hsun [3 ,4 ,5 ]
Lu, Tzu-Pin [6 ]
Chuang, Eric Y. [1 ,3 ]
机构
[1] Natl Taiwan Univ, Grad Inst Biomed Elect & Bioinformat, Taipei 10617, Taiwan
[2] Natl Taiwan Univ, Grad Inst Physiol, Taipei 10051, Taiwan
[3] Natl Taiwan Univ, Bioinformat & Biostat Core, Ctr Genom Med, Taipei 10055, Taiwan
[4] Natl Taiwan Univ, Inst Biotechnol, Taipei 10672, Taiwan
[5] Natl Taiwan Univ, Ctr Biotechnol, Taipei 10672, Taiwan
[6] Natl Taiwan Univ, Inst Epidemiol & Prevent Med, Taipei 10055, Taiwan
关键词
MicroRNA; Gene expression; Functional enrichment analysis; R/Bioconductor; PROSTATE-CANCER CELLS; MULTIPLE-MYELOMA; PROLIFERATION; PREDICTION; ENRICHMENT; INVASION; TARGETS; PROTEIN;
D O I
10.1186/s12859-019-2870-x
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
BackgroundWith advancements in high-throughput technologies, the cost of obtaining expression profiles of both mRNA and microRNA in the same individual has substantially decreased. Integrated analysis of these profiles can help to elucidate the functional effects of RNA expression in complex diseases, such as cancer. However, fundamental discrepancies are observed in the results from microRNA-mRNA target gene prediction algorithms, and few packages can be used to analyze microRNA and mRNA expression levels simultaneously.ResultsTo address these issues, an R package, anamiR, was developed. A total of 10 experimental/prediction databases were integrated. Two analytical functions are provided in anamiR, including the single marker test and functional gene set enrichment analysis, and several parameters can be changed by users. Here we demonstrate the potential application of the anamiR package to 2 publicly available microarray datasets.ConclusionThe anamiR package is effective for an integrated analysis of both RNA and microRNA profiles. By characterizing biological functions and signaling pathways, this package helps identify dysregulated genes/miRNAs from biological and medical experiments. The source code and manual of the anamiR package are freely available at https://bioconductor.org/packages/release/bioc/html/anamiR.html.
引用
收藏
页数:7
相关论文
共 50 条
  • [22] Profiling and integrated analysis of transcriptional addiction gene expression and prognostic value in hepatocellular carcinoma
    Du, Xiaowei
    Wang, Hao
    Xu, Jing
    Zhang, Yufei
    Chen, Tingsong
    Li, Gao
    AGING-US, 2023, 15 (08): : 3141 - 3157
  • [23] Genes Associated with Recurrence of Hepatocellular Carcinoma: Integrated Analysis by Gene Expression and Methylation Profiling
    Yang, Ju Dong
    Seol, So-Young
    Leem, Sun-Hee
    Kim, Yong Hoon
    Sun, Zhifu
    Lee, Ju-Seog
    Thorgeirsson, Snorri S.
    Chu, In-Sun
    Roberts, Lewis R.
    Kang, Koo Jeong
    JOURNAL OF KOREAN MEDICAL SCIENCE, 2011, 26 (11) : 1428 - 1438
  • [24] GENES ASSOCIATED WITH RECURRENCE OF HEPATOCELLULAR CARCINOMA: INTEGRATED ANALYSIS BY GENE EXPRESSION AND METHYLATION PROFILING
    Yang, Ju Dong
    Seol, So-Young
    Leem, Sun-Hee
    Kim, Yong Hoon
    Sun, Zhifu
    Lee, Ju-Seog
    Thorgeirsson, Snorri S.
    Chu, In-Sun
    Kang, Koo Jeong
    Roberts, Lewis R.
    HEPATOLOGY, 2010, 52 (04) : 344A - 344A
  • [25] Integrated microRNA and gene expression profiling reveals the crucial miRNAs in curcumin anti-lung cancer cell invasion
    Zhan, Jian-wei
    Jiao, De-min
    Wang, Yi
    Song, Jia
    Wu, Jin-hong
    Wu, Li-jun
    Chen, Qing-yong
    Ma, Sheng-lin
    THORACIC CANCER, 2017, 8 (05) : 461 - 470
  • [26] Profiling of microRNA expression by mRAP
    Takada, Shuji
    Mano, Hiroyuki
    NATURE PROTOCOLS, 2007, 2 (12) : 3136 - 3145
  • [27] Profiling microRNA expression with microarrays
    Yin, James Q.
    Zhao, Robert C.
    Morris, Kevin V.
    TRENDS IN BIOTECHNOLOGY, 2008, 26 (02) : 70 - 76
  • [28] Profiling of microRNA expression by mRAP
    Shuji Takada
    Hiroyuki Mano
    Nature Protocols, 2007, 2 : 3136 - 3145
  • [29] Strategies for Profiling MicroRNA Expression
    Kong, William
    Zhao, Jian-Jun
    He, Lili
    Cheng, Jin Q.
    JOURNAL OF CELLULAR PHYSIOLOGY, 2009, 218 (01) : 22 - 25
  • [30] Integrative Analysis of MicroRNA and Gene Expression Profiling Contributes to Understand Mantle Cell Lymphoma Pathogenesis.
    Di Lisio, Lorena
    Gomez-Lopez, Gonzalo
    Saanchez-Beato, Margarita
    Elena Rodriguez, Maria
    Gomez Abad, Cristina
    Villuendas, Raquel
    Mollejo, Manuela
    Martinez, Miguel A.
    Menarguez, Javier
    Diaz-Alderete, Andrea
    Gil, Juana
    Cigudosa, Juan
    Pisano, David G.
    Piris, Miguel A.
    Martinez, Nerea
    BLOOD, 2009, 114 (22) : 1147 - 1147