Literature DB >> 27245063

Identifying significant microRNA-mRNA pairs associated with breast cancer subtypes.

Malay Bhattacharyya1, Joyshree Nath2, Sanghamitra Bandyopadhyay3.   

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that help in post-transcriptional gene silencing. These endogenous RNAs develop a post-transcriptional gene-regulatory network by binding to complementary sequences of target mRNAs and essentially degrade them. Cancer is a class of diseases that is caused by the uncontrolled cell growth, thereby resulting into a gradual degradation of cell structure. Earlier researches have shown that miRNAs have significant biological involvement in cancer. Prolonged research in this genre has led to the identification of the functions of numerous miRNAs in cancer development. Studying the differential expression profiles of miRNAs and mRNAs together could help us in recognizing the significant miRNA-mRNA pairs from cancer samples. In this paper, we have analyzed the simultaneous over-expression of miRNAs and under-expression of mRNAs and vice versa to establish their association with cancer. This study focuses on breast tumor samples and the miRNA-mRNA target pairs that have a visible signature in such breast tumor samples. We have been able to identify the differentially expressed miRNAs and mRNAs, and further established relations between them to extract the miRNA-mRNA pairs that might be significant in the breast cancer types. This gives us the clue about the potential biomarkers for the breast cancer subtypes that can further help in understanding the progression of each of the subtypes separately. This might be helpful for the joint miRNA-mRNA biomarker identification.

Entities:  

Keywords:  Breast cancer subtypes; Gene regulation; MicroRNA

Mesh:

Substances:

Year:  2016        PMID: 27245063     DOI: 10.1007/s11033-016-4021-z

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  27 in total

1.  High expression of precursor microRNA-155/BIC RNA in children with Burkitt lymphoma.

Authors:  Markus Metzler; Monika Wilda; Kerstin Busch; Susanne Viehmann; Arndt Borkhardt
Journal:  Genes Chromosomes Cancer       Date:  2004-02       Impact factor: 5.006

2.  Differentially regulated micro-RNAs and actively translated messenger RNA transcripts by tumor suppressor p53 in colon cancer.

Authors:  Yaguang Xi; Reut Shalgi; Oystein Fodstad; Yitzhak Pilpel; Jingfang Ju
Journal:  Clin Cancer Res       Date:  2006-04-01       Impact factor: 12.531

3.  Oncogenic function and early detection potential of miRNA-10b in oral cancer as identified by microRNA profiling.

Authors:  Ya-Ching Lu; Yin-Ju Chen; Hung-Ming Wang; Chi-Ying Tsai; Wen-Ho Chen; Yu-Chen Huang; Kang-Hsing Fan; Chi-Neu Tsai; Shiang-Fu Huang; Chung-Jan Kang; Joseph Tung-Chieh Chang; Ann-Joy Cheng
Journal:  Cancer Prev Res (Phila)       Date:  2012-02-07

Review 4.  Biogenesis of small RNAs in animals.

Authors:  V Narry Kim; Jinju Han; Mikiko C Siomi
Journal:  Nat Rev Mol Cell Biol       Date:  2009-02       Impact factor: 94.444

5.  MicroRNA expression profiles classify human cancers.

Authors:  Jun Lu; Gad Getz; Eric A Miska; Ezequiel Alvarez-Saavedra; Justin Lamb; David Peck; Alejandro Sweet-Cordero; Benjamin L Ebert; Raymond H Mak; Adolfo A Ferrando; James R Downing; Tyler Jacks; H Robert Horvitz; Todd R Golub
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

6.  Reduced accumulation of specific microRNAs in colorectal neoplasia.

Authors:  Michael Z Michael; Susan M O' Connor; Nicholas G van Holst Pellekaan; Graeme P Young; Robert J James
Journal:  Mol Cancer Res       Date:  2003-10       Impact factor: 5.852

7.  let-7 regulates self renewal and tumorigenicity of breast cancer cells.

Authors:  Fengyan Yu; Herui Yao; Pengcheng Zhu; Xiaoqin Zhang; Qiuhui Pan; Chang Gong; Yijun Huang; Xiaoqu Hu; Fengxi Su; Judy Lieberman; Erwei Song
Journal:  Cell       Date:  2007-12-14       Impact factor: 41.582

8.  Widespread inference of weighted microRNA-mediated gene regulation in cancer transcriptome analysis.

Authors:  Hiroshi I Suzuki; Hajime Mihira; Tetsuro Watabe; Koichi Sugimoto; Kohei Miyazono
Journal:  Nucleic Acids Res       Date:  2012-12-28       Impact factor: 16.971

9.  MicroRNAs: an emerging science in cancer epigenetics.

Authors:  Rishabh Kala; Gregory W Peek; Tabitha M Hardy; Trygve O Tollefsbol
Journal:  J Clin Bioinforma       Date:  2013-03-16

10.  Studying the system-level involvement of microRNAs in Parkinson's disease.

Authors:  Paulami Chatterjee; Malay Bhattacharyya; Sanghamitra Bandyopadhyay; Debjani Roy
Journal:  PLoS One       Date:  2014-04-01       Impact factor: 3.240

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