Literature DB >> 23153516

Identification and characterization of novel microRNA candidates from deep sequencing.

Qian Wu1, Chao Wang, Li Guo, Qinyu Ge, Zuhong Lu.   

Abstract

In our previous study, we screened a candidate new microRNA (miRNA) based on the deep sequencing and bioinformatics analysis. In this paper, we evaluated the novel miRNA in the following experiment: 1) the secondary structure of the precursor of novel-miR has the characteristic of a stem-loop hairpin structure, and mature miRNA is far from loops and bulges. 2) we used BLAST (Basic Local Alignment Search Tool) to compare the novel-miR sequence to that found in the GenBank. Novel-miR sequence existed in Mus musculus, Drosophila grimshawi, Rattus norvegicus, Xenopus laevis, Spodoptera frugiperda, Papio anubis, Salmo salar and so on. Then multiple sequence alignment (MSA) showed that sequence from 5 to 11 bp and 13 to 17 bp exhibited 100% similarity, where there is significant sequence conservation. Novel-miR showed similarity in the seed region with the known miR-3675-3p, indicating that these miRNAs are likely to belong to the same family and thus may share common biology. 3) novel-miR from MCF-7 and MB-MDA-231 was validated by Northern blot and detected in the serum and tissue samples of BC patients, respectively, by real-time PCR. The data showed that novel-miR was downregulated in the BC cancerous tissues and serum of breast cancer patients (P<0.05). 4) transfection of novel-miR mimics into MCF-7 cell significantly inhibited cell growth detected by CCK-8 assay (P<0.05). 5) to identify the mRNA targets of novel-miR, we performed a computational screen for genes with novel-miR complementary sites in their 3'-UTR using several open access databases. In addition, we used the CapitalBio® Molecule Annotation System V3.0 to perform gene ontology (GO) analysis on the target genes of novel-miR and specific biological process categories were enriched. 7 genes (CUL3, KRAS, ETS1, MNT, CNTN3, CCNK and FOXO3) which have a high prediction score and are associated with cell proliferation, apoptosis and cell cycle were chosen. 3'-UTR luciferase report assay suggested that miR-BS1 negatively regulated CNTN3. In the conclusion, novel-miR, named miR-3675b, is a true, functional and novel miRNA. Candidate novel miRNA from deep sequencing which will be qualified as a "real" miRNA must be validated by a series of functional experiments.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23153516     DOI: 10.1016/j.cca.2012.11.002

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  5 in total

1.  Prediction and validation of potential pathogenic microRNAs involved in Phytophthora infestans infection.

Authors:  Juanjuan Cui; Yushi Luan; Weichen Wang; Junmiao Zhai
Journal:  Mol Biol Rep       Date:  2014-01-16       Impact factor: 2.316

2.  Identification of Personalized Chemoresistance Genes in Subtypes of Basal-Like Breast Cancer Based on Functional Differences Using Pathway Analysis.

Authors:  Tong Wu; Xudong Wang; Jing Li; Xiuzhen Song; Ying Wang; Yunfeng Wang; Lei Zhang; Ziyao Li; Jiawei Tian
Journal:  PLoS One       Date:  2015-06-30       Impact factor: 3.240

3.  Genome-wide microRNA expression profiles in hippocampus of rats with chronic temporal lobe epilepsy.

Authors:  Meng-Meng Li; Teng Jiang; Zhen Sun; Qun Zhang; Chen-Chen Tan; Jin-Tai Yu; Lan Tan
Journal:  Sci Rep       Date:  2014-04-22       Impact factor: 4.379

4.  Prognostic significance of contactin 3 expression and associated genes in glioblastoma multiforme.

Authors:  Yi-Fang Zhu; Yuan-Biao Guo; Han-Yu Zhang; Peng Yang; Dan-Feng Wei; Tong-Tong Zhang; Bi-Ran Pan; Lei Liu
Journal:  Oncol Lett       Date:  2019-06-14       Impact factor: 2.967

5.  SLC1A1, SLC16A9, and CNTN3 Are Potential Biomarkers for the Occurrence of Colorectal Cancer.

Authors:  Jie Zhou; Zhiman Xie; Ping Cui; Qisi Su; Yu Zhang; Lijia Luo; Zhuoxin Li; Li Ye; Hao Liang; Jiegang Huang
Journal:  Biomed Res Int       Date:  2020-05-23       Impact factor: 3.411

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.