Literature DB >> 25132152

microRNAs: role in leukemia and their computational perspective.

Ankur Omer1, Poonam Singh, Navneet Kumar Yadav, Rama Kant Singh.   

Abstract

MicroRNAs (miRNAs) belong to the family of noncoding RNAs (ncRNAs) and had gained importance due to its role in complex biochemical pathways. Changes in the expression of protein coding genes are the major cause of leukemia. Role of miRNAs as tumor suppressors has provided a new insight in the field of leukemia research. Particularly, the miRNAs mediated gene regulation involves the modulation of multiple mRNAs and cooperative action of different miRNAs to regulate a particular gene expression. This highly complex array of regulatory pathway network indicates the great possibility in analyzing and identifying novel findings. Owing to the conventional, slow experimental identification process of miRNAs and their targets, the last decade has witnessed the development of a large amount of computational approaches to deal with the complex interrelations present within biological systems. This article describes the various roles played by miRNAs in regulating leukemia and the role of computational approaches in exploring new possibilities.
© 2014 John Wiley & Sons, Ltd.

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Year:  2014        PMID: 25132152     DOI: 10.1002/wrna.1256

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev RNA        ISSN: 1757-7004            Impact factor:   9.957


  4 in total

Review 1.  RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation.

Authors:  Guobo Xie; Bin Huang; Yuping Sun; Changhai Wu; Yuqiong Han
Journal:  Mol Genet Genomics       Date:  2021-02-15       Impact factor: 3.291

2.  miR-9 Enhances the Chemosensitivity of AML Cells to Daunorubicin by Targeting the EIF5A2/MCL-1 Axis.

Authors:  Yanhui Liu; Pingchong Lei; Hong Qiao; Kai Sun; Xiling Lu; Fengchang Bao; Runhong Yu; Cheng Lian; Yao Li; Wei Chen; Fei Xue
Journal:  Int J Biol Sci       Date:  2019-01-01       Impact factor: 6.580

3.  IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.

Authors:  Xing Chen; Zhu-Hong You; Gui-Ying Yan; Dun-Wei Gong
Journal:  Oncotarget       Date:  2016-09-06

4.  A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.

Authors:  Jiechen Li; Xueyong Li; Xiang Feng; Bing Wang; Bihai Zhao; Lei Wang
Journal:  BMC Bioinformatics       Date:  2019-12-03       Impact factor: 3.169

  4 in total

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